Tag: hybrid cloud

  • DevOps and Hybrid Cloud: Life in the Fast Lane, Part Two

    DevOps and Hybrid Cloud: Life in the Fast Lane, Part Two

    In the early years of cloud computing, cost savings were the major driver of adoption. These days, however, organizations are increasingly faced with spiraling expenditures, waste and a lack of control. As cloud usage bills and inefficiencies start to balloon, these challenges are beginning to undermine the benefits of migrating in the first place.

    The truth is that optimizing costs in the cloud is more taxing than many organizations first expect. Identifying cost savings that can be made isn’t generally the hard part; effectively implementing those savings is where the real challenge lies.

    A lack of control over infrastructure means that many organizations are failing to make the changes needed to truly realize these gains. So common are these challenges that there is even a word for the process to deal with them: FinOps. FinOps, at its core, is the culture and practice of creating visibility and accountability to manage cloud penetration throughout an organization, and it’s an area that is growing rapidly.

    This is the second article in my series that looks at what needs to change so that organizations can really start embracing the opportunities provided by hybrid cloud and DevOps. In this installment, I’m going to take a look at the areas of FinOps, cloud waste and automation. In doing so, I hope to show that there is indeed life in the hybrid cloud and DevOps fast lane if handled the right way.

    Get Ready for FinOps

    If you think hybrid cloud and the topics of FinOps and, more specifically, cloud waste, haven’t come up during discussions, you’ve probably been living under a rock.

    It naturally follows that the more agile an organization becomes the harder it needs to work to keep track of waste. Exponential growth is great, but without the right controls a cloud budget will disappear before there has been a chance to see any returns; there are even examples of companies migrating and then deciding to roll back—such are the concerns around lack of control and rising costs.

    Based on survey responses from over 750 cloud decision-makers, Flexera found earlier this year in its 2022 State of the Cloud Report that organizations continue to waste significant amounts of money in the cloud. A full 66% of respondents said that cloud usage is “higher than initially planned this year”, and they estimated that they are wasting 32% of their overall cloud spend. A good five years into full cloud migration and most organizations still haven’t got a handle on costs.

    The tricky part is that waste can rear its head at many stages over the course of a project, which is why it’s so important to maintain control from day one.

    Establishing a baseline of an environment that is deemed to be the known state means that what is versioned can become a source of trust and the desired state of an organization’s cloud infrastructure. How is this possible? Simple: By creating a culture and practice of visibility and accountability throughout an organization. 

    How do you do that? Yes, you guessed it: FinOps.

    Tackling Cloud Waste Head-On

    The ideal time and place to start establishing robust FinOps policies and reducing waste come when the move has been made to start embracing a dual DevOps/hybrid cloud approach. The good news is that the principles of FinOps are easy to follow and can be applied at various stages of an application management life cycle and DevOps and hybrid cloud journey.

    First, teams need to estimate financial and environmental costs ahead of deployment, something which can be particularly challenging when infrastructure-as-code (IaC) tools such as Terraform, Ansible or Puppet are being used, but which is essential to successful FinOps. Once a team has decided which cloud provider they will be using, how much they plan to spend and, more generally, what criteria will be governing these decisions, effective tag management comes in.

    Tagging is the basis for achieving a structured cloud infrastructure, especially in multi-cloud environments that feature different resources being used for different purposes. Tagging means that users can add descriptive metadata (tags) to cloud infrastructure to identify key resources or values such as staging, development or production.

    In a rapidly growing cloud environment, consistent and comprehensive tag management helps to keep track of what is happening in terms of cost, usage, availability, performance and security across a constantly transforming cloud infrastructure. Once a project has been deployed, these tags need to be managed and maintained across all cloud providers, something which is critical for the management of waste, but is often a huge and messy task.

    Good tags help drive good decision-making and the more options there are for categorizing data, the better. To truly get a handle on tag management, finding a platform that can enable users to visualize and study multi-cloud costs in a central place makes it possible to establish that all-important baseline and start to reverse engineer invoices, optimize monthly costs and tackle waste head-on.

    One Cloud, One Strategy

    There was a time a few years ago that we used to hear people say this a lot: “I’ll migrate all my assets to a single cloud provider.” Cloud providers were pushing migration to a one-cloud strategy; considered completely normal at the time, but which has since been shown to be flawed, especially in the world of enterprise.

    Segregation of responsibility is perhaps the best example of why—there are simply too many responsibilities that keep a modern business afloat to risk putting all your eggs in one (cloud) basket. Consider on-premises legacy apps, sensitive data, critical workloads, the production life cycle, ongoing applications without too many peaks and even backend apps. Then consider the cloud providers, new cloud-first applications, public data, non-critical workloads, the development life cycle and frontend applications dealing with high traffic.

    Now imagine all of that suddenly disappears.

    Hybrid cloud means eggs in multiple baskets. Yes, it adds a layer of complexity, but when so much is at stake, it’s worth it. And when you have defined where you want to host everything for each application, it becomes much easier to gain clarity. The challenge is that all cloud providers have their own ecosystem, which will either be private or public.

    These ecosystems make it possible for everything to be integrated, but what is often not immediately obvious is that even though they are integrated, they are not always aligned. It’s in the interests of the cloud provider to provide the best tools to use their platform but not necessarily the best user or developer experience which is something that requires specialist expertise. That usually leads to a certain degree of lock-in as you generally cannot use their tools for managing other applications that aren’t part of the infrastructure.

    This lack of transparency and visibility into other cloud providers can get in the way and impact the ability to get the most out of a dual DevOps and hybrid cloud strategy. However, by adopting a hybrid cloud approach, teams can choose the best cloud provider for each application, putting the team in the best position possible to provide the best services possible.

    And finally, Always Consider the DevX Factor

    For DevOps to thrive, it is important for companies to stay independent both for their own sovereignty and for creating the best developer experience, or DevX (a topic I have explored in a previous article for devopsy.kinsta.cloud).

    It’s easy to fall into the trap of using all the automation capabilities available from each cloud provider, but that locks an organization into a situation where it needs deep expertise across a wide variety of technologies. Adopting a one-cloud, one-automation strategy means that it would never be possible to migrate automation or reuse it in different application deployment processes across various clouds.

    This is where automation of configuration management, IaC, CI/CD pipelines and the DevOps and hybrid cloud platform has a significant role to play. Automation on an organization’s own terms is arguably the most critical element in the race to reduce time to market and improve quality where concepts such as shift left are adding complexity and increasing the responsibilities piled on top of developers.

    Using automation technologies to maintain autonomy and favor cross-subject expertise and team mobility gives organizations the freedom and flexibility to save time, money and roll out better DevX. Ultimately, it also helps to create the best possible environment for organizations to truly start enjoying a DevOps and hybrid cloud life in the fast lane.

  • DevOps and Hybrid Cloud: Life in the Fast Lane?

    DevOps and Hybrid Cloud: Life in the Fast Lane?

    Scream if you want to go faster! When it comes to a dual hybrid-cloud-and-DevOps rollout, most organizations would admit they’re eager to get going a little bit faster. But what started so enthusiastically can turn to frustration (and a different kind of screaming starts) when they’ve accelerated into this major transformation without considering all the necessary elements.

    The benefits are clear. Hybrid cloud backed up by DevOps is an efficient vehicle for change. A robust DevOps platform can be a make-or-break factor in developing a hybrid cloud strategy that goes the distance. Together, they are a force for transformation, and if organizations aren’t already implementing both DevOps and hybrid cloud, they should be asking themselves why not.

    It is true that the move to hybrid cloud is a different journey for cloud-enabled organizations than it is for cloud-native ones. The trip is harder for cloud-enabled, particularly for larger enterprises. Increased release frequency requires tighter alignment and collaboration than is traditionally seen between lines of business, development and IT operations, and this, in turn, drives the need for enhanced collaboration, automation and information transparency.

    But although the transition might be harder, it must be seen as inevitable. Organizations could wait another year, maybe a little more, but the transformation of technology and business is going to happen—so why not get started? In the first of two articles, I’m going to take a look at what needs to change so that organizations can start living life in the hybrid cloud and DevOps fast lane.

    A Cultural Phenomenon

    As has been covered in these pages in some detail already, the move to hybrid cloud backed by DevOps is doomed to fail if organizations think all they need to worry about is tooling and hiring. It’s not. Underlying both of these transformations is a sweeping cultural change. DevOps is about agility, trust and autonomy, and so is hybrid cloud.

    Most of all, though, DevOps and hybrid cloud are a commitment to enhancing an organization’s developer experience (DevX), and that’s not something that can be achieved with simply a ticketing tool or by adopting a GitOps approach. DevX means autonomous, unbound movement. It means empowerment, user experience and self-service. These are changes that can only happen with a successful change in business culture, not a tool. And this is an important starting point that many organizations are still struggling to understand.

    The People Problem

    People are another well-worn topic, but one that continues to present a major challenge. The cultural transition required to successfully implement DevOps can, theoretically, start with just one person. But for a successful outcome, it actually requires long-term change as deeply-ingrained beliefs are disbanded and tribal loyalties are broken down.

    For instance, many believe that implementing DevOps requires hiring new people. That belief embraces two fallacies: One, that organizations will be able to hire the teams they need and two, that DevOps is just a job title. As we know, a good DevOps team is not hired, it is developed through the melding of development and operations. The old silos, where devs developed and ops operated, is a relic from less-enlightened times.

    Today, it requires learning how to build automation, often open source, while managing on-premises, private and public cloud infrastructure. DevOps is a philosophy that seeks to help others, and with that comes the need for collaboration, encouragement, persuasion and other soft skills.

    Security and Privacy Are not Straightforward

    Moving to a hybrid cloud means that more care needs to be taken with regard to security and privacy. One of the main problems is that it’s no longer enough for security teams to reign from on high. With control moving from the server room to the cloud and from highly-siloed ops engineers to the whole team, security policies also need to change. Competent developers will make the right decisions, but they need the right bottom-up tooling that takes their decisions from theory to reality and safeguards those who aren’t as aware.

    These must be a catalyst to make organizations sit up and take a long look at what security in the age of cloud, containers and microservices really means. If the simultaneous move to DevOps and hybrid cloud is that catalyst, then so be it. Just as DevOps is revolutionizing the way teams approach their work, DevSecOps is going to revolutionize the way they look at security.

    Security shows its face at various stages of infrastructure: When a cloud organization is created and structured; when a vault is integrated to ensure that key passwords are secured and even when a pipeline is launched that triggers dedicated security software. This isn’t an exhaustive list, but it illustrates how organizations need to start taking a methodical, step-by-step look at security in their hybrid cloud.

    What About GitOps?

    Gartner recently found that the average company uses 28 infrastructure tools. That’s simply too many to be handled and understood by one person. Even specialist DevOps engineers can’t be experts in all the cloud providers, OpenStack and VMware. Other studies showed that a developer generally only uses 5% of their Git repositories or an average of five repositories.

    The mistake lots of companies make is thinking that suddenly shifting to using APIs with a GitOps approach is adequate to handle the change to hybrid cloud. It’s not, and can actually be detrimental to DevX. Why? There’s too big a gap—it’s like just doing a long weekly run the day before a marathon. You might start, but you’ll be severely compromising your ability to meet your goal. Even DevOps engineers struggle to maintain a single source of truth and well-maintained reusable repositories.

    The solution is to plan for the long term. It’s not realistic to believe that one or two DevOps engineers can be the saviors of a hybrid cloud approach. There are far too many tools, best practices and options—between Ansible, Terraform, Kubernetes and Concourse CI/CD to name just a few—to be managed by a handful of devs, no matter how talented they are.

    That’s why the true way to hybrid cloud mastery lies in the ability to get the whole tech team pulling in the same direction, collaborating, upskilling and leveraging their strengths to support the parts that make the whole. This might sound like a pipe dream, but there are companies out there talking the talk and walking the walk.

    Start Your Engines

    It is futile to tell an organization exactly how to get started since many are already taking the first steps and every organization’s situation is unique. There is more to cover; in the next installment, I’ll be taking a look at areas like FinOps, automation and cloud waste. Hopefully, you’ll see the fast lane is clear up ahead.

  • CloudBolt Adds Modular Automation Framework to Tame Hybrid Clouds

    CloudBolt Adds Modular Automation Framework to Tame Hybrid Clouds

    CloudBolt Software this week added a framework consisting of eight modules that collectively make it simpler to automate, optimize and govern hybrid cloud computing environments.

    Jeff Kukowski, CloudBolt CEO, said the goal is to provide IT teams with a more modular approach to managing multiple clouds that they can employ as they gain additional expertise.

    The modules provided by CloudBolt address everything from providing a repository, dubbed Automation Exchange, through which reusable automation content can be shared to implementing governance policies and tracking cloud spending.

    Other modules address testing and assurance, integration, automated discovery and machine learning algorithms that can be used to automate processes.

    While most organizations employ multiple clouds alongside on-premises IT environments, the management of IT across an extended enterprise is far from unified. A recent survey published by CloudBolt found a full 88% of respondents needed a “manager of managers” that would enable them to unify the various silos that have multiplied across their IT environment. CloudBolt Software is making a case for an IT framework that provides a layer of abstraction through which the management of multiple clouds and on-premises IT environments can be unified.

    It’s not clear whether organizations are deliberately employing multiple clouds or if, because of simple inertia, they have found themselves managing multiple cloud platforms because of decisions made by various application development teams. Some IT organizations employ multiple clouds because they are concerned about either becoming locked in to a specific cloud computing service; others are concerned an outage on one platform might take all their applications offline. Others simply take advantage of services that are better provided by one cloud service provider than another. It’s also not uncommon for one organization to acquire another that relied on a completely different platform to deploy applications.

    Regardless of how IT organizations found themselves managing multiple clouds, the total cost of IT rises as each new platform is added to an IT environment. Just as challenging is the fact that each new platform exposes some type of automation framework. Before too long, IT teams find themselves having to navigate multiple islands of automation implemented across a highly distributed computing environment. In many cases, those automation instances are reinventing the same process that has already been automated on another platform using a completely different toolset.

    It is more a question of time and the degree to which IT organizations will eventually consolidate management of disparate IT environments under some type of unified control plane that enables true hybrid cloud computing. Once that capability is achieved, IT teams should find it simpler to migrate workloads from one platform to another.

    In the meantime, most organizations will be managing multiple IT environments for the foreseeable future. The only thing that is unclear is the volume of workloads that might be running on one of those platforms at any given time. The challenge—and the opportunity—is to regain control over computing environments increasingly more distributed.

  • SolarWinds Unveils Unified Observability Platform

    SolarWinds Unveils Unified Observability Platform

    SolarWinds this week launched an observability platform that makes available a range of tools and technologies that the company has developed and acquired via a common user interface.

    Rohini Kasturi, chief product officer for SolarWinds, said the SolarWinds Hybrid Cloud Observability platform also makes an observability platform affordable for a much wider range of organizations.

    The platform also makes it easier to discover, map, and understand dependencies in ways that make it easier to achieve and maintain service level objectives, he added.

    The SolarWinds Hybrid Cloud Observability is a suite of tools made available via multiple tiers that make it simpler to automatically discover the root cause of an IT issue in addition to making it easier to manage configuration, reporting, and planning tasks across cloud computing and on-premises IT environments, said Kasturi.

    As IT teams increasingly distinguish between merely monitoring IT environments and achieving observability that allows them to proactively surface anomalies using machine learning algorithms and other forms of data science, the level of depth and insight that can be applied to managing IT is increasing dramatically. In fact, observability is quickly becoming table stakes for any provider of IT management tools, noted Kasturi.

    There is, of course, no shortage of observability platforms. The SolarWinds Hybrid Cloud Observability is designed to be deployed alongside existing monitoring tools rather than requiring IT teams to rip and replace the tools they already employ, said Kasturi.

    It’s not clear to what degree IT organizations are embracing observability. As a core tenet of best DevOps practices, observability has always been a goal. However, even the most advanced DevOps teams have thus far achieved little more than continuous monitoring of IT environments that are based on a set of pre-defined metrics. An observability platform not only surfaces anomalies but also enables DevOps teams to launch queries across logs, metrics and distributed traces to identify the root cause of a performance issue before it becomes a major disruption.

    The biggest challenge, however, may not be the technology as much as it is simply understanding what queries to launch. As IT environments become more complex thanks in part to the rise of microservices-based applications, the number of potential permutations that might impact a highly dynamic IT environment is increasingly beyond the ability of any IT team to manually track. It’s already apparent that many of the legacy monitoring tools that DevOps teams rely on today will need to be rationalized in favor of tools infused with machine learning algorithms capable of discerning patterns across a complex IT environment.

    In the meantime, IT teams will need to spend a considerable amount of time experimenting with observability platforms in the months ahead. After all, applications don’t magically instrument themselves. However, once IT teams do find a way to aggregate the logs, metrics and traces that can be collected from one application environment, it does become easier to define a set of best practices that can eventually be more widely applied.

  • The Future of Cloud Strategy: Multi-Cloud

    The Future of Cloud Strategy: Multi-Cloud

    As Gartner’s Milind Govekar recently said, “There is no business strategy without a cloud strategy.” But in 2021, some of the world’s biggest brands suffered disruptions in their services due to outages from their cloud service providers, including Google, Slack, Venmo, Disney+, Facebook/Meta, Tinder, iRobot, The Washington Post and Sony.

    While the outages do not negate the overall benefits of moving to the cloud in the first place, they do make IT leaders think twice about putting all their eggs in one cloud provider’s basket. In this article, we will be exploring the multi-cloud strategy, its advantages and how to prepare for your multi-cloud future.

    Let’s Be Clear About Cloud

    The adoption of a cloud strategy was evidenced in a 2021 O’Reilly survey in which 48% of participants reported a plan to migrate more than half their applications to the cloud while 20% planned to migrate all their applications to the cloud.

    Cloud migration is a multi-factored decision made by business leaders to migrate electronic assets from local servers to the cloud. Cloud storage is rapidly overrunning on-premises data warehouses because of its many positive business impacts including scalability, speed, collaboration, continuity, security and rapid ROI. Although it is simple to select one provider, we’re seeing more and more organizations opt for multiple providers to avoid the negative impacts of outages.

    Multi-Cloud Strategy: The Dominant Choice

    Cloud revenue continues to reach new heights. Gartner predicted cloud revenues globally will reach $474 billion in 2022. That number represents a significant increase from $313 billion in 2020. 

    The challenge among many IT leaders is continually mapping the use of the cloud in relation to their business goals. This alignment is critical to the success of overall objectives as cloud solutions need to match business requirements, whether related to security, compliance or other issues. 

    Cloud-based solutions are highly sought after by businesses and IT leaders. In the quest for the “perfect” solution, multi-cloud options are highly appealing. Benefits of a muti-cloud system include: 

    • Avoiding vendor/provider lock-in
    • Allowing for scaling as business grows
    • Increasing security to thwart attacks
    • Harnessing unique capabilities of different providers

    Multi-cloud and hybrid cloud are often used interchangeably, but they actually refer to slightly different approaches. 

    Hybrid, strictly speaking, is the use of cloud infrastructure in conjunction with bare metal (aka traditional) data centers. As such, it has been an approach favored by enterprises migrating to the cloud in phases.

    Multi-cloud, as the name suggests, involves the use of more than one cloud provider to provision IT. Many would argue it’s also the future of operating as a cloud-first entity.

    Fast-Tracking Digital Transformation

    Digital transformation can be a long haul, however, businesses adopting multi-cloud solutions are navigating the digital services path more quickly.

    Why does the cloud present itself as the best solution for businesses?

    • Rapid advancement of cloud solutions
    • Apps are becoming more readily suited for development and deployment
    • Skepticism toward the cloud is now waning; businesses are porting databases and mission-critical apps to the cloud
    • Cloud is key to delivering AI services, an area of increased growth

    Flexibility meets Functionality

    Flexibility is undoubtedly a major attraction in relation to cloud choices. However, making the correct decisions is imperative to meeting strategic business objectives. The cloud proves beneficial to leaders as, in combination with data engineering, they can procure a comprehensive view of relevant data.

    The first critical component to selecting the correct cloud solution is market research. The necessity of this step is two-fold. Yes, it takes time to conduct research, but in the end, diligence can end up saving both time and money.

    Of course, businesses and providers want their relationships to be symbiotic. App migration may go well and all proper dynamics function at the onset, but what happens when a switch needs to be made? It can prove to be both burdensome and costly. With this reason in mind, it’s important to continually weigh both short-term advantages and longer-term flexibility. 

    Another essential component when assessing options is ensuring seamless interoperability between systems. Simply defined, interoperability is the ability of computerized systems to connect and communicate with one another without regard to their manufacturer or industry. 

    In a modern economy, IT leaders are called on to be increasingly conscientious about cloud services to alleviate any issues with future data portability.

    Edge Computing on the Rise

    Edge computing is a subset of a distributed computing topology in which information processing is located close to or at the location where that information is produced or consumed.

    With the trend of edge computing on the rise, the lines between edge and cloud computing continue to become more obscure. Cloud vendors need to use an edge strategy, and some already employ their own specific suite of services aimed at making data processing seamless.

    Data processing and transition should not be an arduous task. This factor alone influences leaders when making decisions on their cloud journey. Digital maturity is a competitive advantage for which all businesses should strive. 

    Adapting to Multi-Cloud

    A more complex cloud environment can be challenging, but the task is manageable. By dedicating the time and resources necessary, businesses can adapt to muti-cloud or hybrid systems with considerable ease.

    Whether through necessity or design, a multi-cloud or hybrid system has numerous benefits in relation to compliance, security, efficiency, scale, and performance. The multi-cloud strategy is here to stay.

  • NetApp Survey Shows Hybrid Cloud is Maturing

    NetApp Survey Shows Hybrid Cloud is Maturing

    A small survey of 79 midsized to large enterprises conducted by NetApp suggests enterprise IT organizations might finally be embracing hybrid cloud computing beyond use cases involving backup and recovery.

    The survey finds 20% of respondents are currently employing both on-premises and cloud resources to support the same workload in a production environment, with another 17% planning to do so within 24 months.

    Darnell Fatigati, senior product marketing manager for hybrid cloud at NetApp, noted that a hybrid approach to cloud computing will dominate with more than three-quarters of respondents reporting their organization plans to operate a hybrid cloud environment for the foreseeable future. Only 17% expect their organization to eventually migrate all their IT environments to the cloud.

    A major factor in the decision to not migrate all workloads to the cloud is the amount of data gravity that legacy applications running in on-premises IT environments exert, noted Fatigati. The amount of effort required to successfully migrate terabytes and even petabytes of data into the cloud is simply too great, he added.

    The primary benefits of hybrid cloud computing cited by survey respondents are faster innovation (26%), increased responsiveness (25%) and increased collaboration (22%). Survey respondents also noted they are looking to improve infrastructure flexibility and scale (27%), optimize costs (21%) and improve data accessibility (13%). Data protection involving disaster recovery, backup and archiving remains the most widely employed use case for hybrid cloud, with 29% either employing it today or planning to do so in the next 24 months.

    Most hybrid cloud computing environments today consist of multiple clouds and on-premises IT environments that are managed in isolation from one another. The fact that more organizations are now starting to deploy the same workload across both a cloud service and an on-premises IT environment has significant implications for DevOps teams that will be required to manage those workloads. Most DevOps workflows today do not span multiple platforms. However, as more organizations become impacted by the occasional cloud outage, the level of resiliency enabled by hybrid cloud computing is becoming a higher priority.

    In many cases, the shift to hybrid cloud computing was accelerated by the COVID-19 pandemic that drove many organizations to increase the number of workloads deployed in the cloud. Now, heading into 2022, those same organizations are looking to reduce IT costs by centralizing IT management as much as possible, noted Fatigati. Each time an IT organization adds a new platform, the tooling and personnel required to manage that platform increase the total cost of IT for any organization. Much of the shift to hybrid cloud is being driven by C-level executives looking to reduce those costs.

    It may be a while before most enterprise IT organizations are able to deploy workloads across multiple platforms. However, as both cloud and on-premises IT environments continue to evolve and as more platforms deployed in local data centers are increasingly managed using a cloud operating model, the way those platforms are accessed on demand will continue to converge. In fact, there may come a day when the term cloud computing itself disappears from the IT lexicon as every IT platform, by default, leverages one type of cloud or another.

  • Multi-Cloud Is Not About Lift and Shift

    Multi-Cloud Is Not About Lift and Shift

    Multi-cloud is often framed from the perspective of “lift and shift.” In other words, an organization takes a computing environment previously running on one cloud and transfers it over to a different service provider. Cloud migration may make sense for cost savings or performance benefits and such a shift may be necessary when migrating on-premises data centers to a public cloud.

    In theory, lift and shift sounds like it would empower cloud consumers with more choice in the marketplace. However, according to John Gentry, CTO of Virtana, lift and shift is quite rare in practice; it may not be the true driver behind multi-cloud strategies. Moving resources between clouds can result in costly egress fees. Plus, culturally-ingrained cloud preferences become challenging to shake. Unique configurations and add-on software-as-a-service (SaaS) make each cloud more nuanced, requiring new skills and procedures with every migration.

    Instead, Gentry advocates for a “fit-for-purpose cloud” strategy. This attitude is less about moving similar workloads between clouds but, instead, pairing particular types of workloads with the appropriate cloud types. According to Gentry, using multiple clouds simultaneously could still help organizations strategically align their digital resources and reduce dependency on a single cloud service provider (CSP). But, the real value of a hybrid multi-cloud setup lies in matching computing environments to different business layers.

    Fit-For-Purpose Cloud

    At first glance, the ability to move between clouds appears to be driving a new multi-cloud economy where cloud strategists can swiftly migrate resources and optimize intercloud utilization. However, when organizations attempt to shift, they usually experience many hidden costs, Gentry warned. These often pop up around data egress. Or, new data storage costs may take a surprising toll, Gentry added. “A lot of companies look at it from a computing perspective and they don’t account for the storage footprint.”

    DevOps in the cloud also introduces new responsibilities and processes that may differ between clouds, continued Gentry. From unique storage operations to managing the life cycle of a virtual machine, each cloud carries unique configuration methods. This makes it more difficult to abandon established procedures in favor of a different computing arrangement.

    Nevertheless, Gentry recognizes that we’re starting to see a maturing effect of the multi-cloud concept, especially among large enterprises. “Companies have a multi-cloud strategy—it’s less about moving between clouds than about picking a cloud that has specific advantages for a given workload,” he said. In a fit-for-purpose cloud approach, different workloads correspond to different layers of the business. For example, an organization may require a local data center or private cloud for high-security data. Certain applications may benefit from a distributed global public cloud, whereas other workloads could reap performance benefits and cost savings from a cloud-adjacent edge model. “These specific areas may not have anything to do with one another other than supporting the overall business,” explained Gentry.

    Matching Cloud Types to Business Units

    So how do we match the workload at hand to the ideal computing arrangement? Gentry identified three emerging cloud types:

    • Private cloud: A private core for particular functions that can’t be replatformed or rearchitected. Business areas such as financial records or patient care hold sensitive data that must be stored properly to meet regulations and SLAs.
    • Public cloud: End customer-facing, where sensitive data is not an issue. Public distributed cloud is ideal for delivering a highly available front end for customer-facing digital experiences.
    • Cloud adjacent/edge: When an environment is kept in a cloud adjacent facility with relatively local geographies. This may sit alongside the public cloud or connect to a front end in a cloud.

    For example, Gentry described how a large health care company uses a hybrid multi-cloud setup to support various business divisions. The organization is keeping traditional patient care workloads exclusively on-premises; due to regulatory reasons, it will never see the inside of a cloud. Yet, they are simultaneously building the next generation of applications in a public cloud, using Google Cloud to scale a clinical trial division. Simultaneously they began using Microsoft Azure for their back office. This scenario highlights one peculiar advantage of late-stage cloud adoption, noted Gentry: “They had the advantage of being able to take a more thoughtful approach.”

    Gentry described another case of an organization performing genomic sequencing. For data-heavy applications like this, where there is a high dependency on input and output, syncing with a public cloud could be extremely costly and introduce latency. For them, the most cost-effective method was to use a cloud-adjacent or edge model alongside a public cloud.

    How to Leverage Fit-For-Purpose Cloud

    One situation that may warrant cloud migration is a complete replatforming, noted Gentry. He described one early cloud adopter that rushed into AWS, only to find it wasn’t cost-effective for their needs. Architects then had to make tough decisions to determine what would be repatriated back to local data centers and what should remain in the cloud. “Their only motive going from cloud to cloud was, ‘We made a bad choice and we want to move.’”

    Clearly, to match cloud use with business requirements, you must choose the appropriate cloud. AWS is widely adopted for elastic computing and offers a wide product catalog. GCP is offering feature innovation and cost reduction to compete and is going after un- and under-penetrated regions. Azure, on the other hand, will offer licensing advantages if you are a Microsoft shop.

    Secondly, to unite IT around a hybrid multi-cloud strategy, you must remove the adversarial state between traditional ops and cloud ops. Classic ops is typically very safety-oriented, using a slow approach with endless tests in pre-production. Traditional ops may produce yearly updates. This is directly opposed to the new cloud ops approach, which emphasizes agility, speed and constant deployment. “They sit in different silos,” Gentry explained.

    To solve this dilemma, companies must share technical skillsets between the three main cloud types. “DevOps must become a continuum for all types,” Gentry said. In addition to cultural change, DevOps tools must evolve to monitor workloads across a hybrid multi-cloud estate. This will require integration to tie together tools and deeper observability.

  • Survey Illuminates Long Dark Road to Hybrid Cloud

    Survey Illuminates Long Dark Road to Hybrid Cloud

    While hybrid cloud computing will play a critical role in enabling digital business transformation it turns out most IT organizations lack the skills and technologies required to achieve it.

    A survey of 108 IT executives conducted by the research firm Pulse on behalf of CloudBolt Software, a provider of a cloud management platform, finds 94% believe hybrid cloud computing will be critical to digital transformation. A total of 92% also noted that empowering end users through self-service IT is a digital transformation accelerator, while 99% said successful automation depends on streamlining integrations.

    However, 78% of respondents said they lack the visibility necessary to optimize cloud deployments. More than half (56%) believe that their self-service offerings fail to meet user needs and more than three-quarters (76%) still rely on some form of custom coding when it comes to integration.

    In terms of the capabilities respondents are looking to acquire, 80% noted they want real-time insight into cost optimization and security remediation. A total of 71% want self-service to be easy for end users, while 62% want an approach to integration that doesn’t require deep domain knowledge or special expertise.

    CloudBolt CEO Jeff Kukowski said the biggest immediate obstacle when it comes to hybrid cloud computing is the lack of visibility IT organizations have into their existing IT environments. IT teams are not going to be able to unify the management of distributed IT environments without it, much less achieve anything approach observability, noted Kukowski.

    Pressure on IT organizations to accelerate application development while simultaneously reducing costs rose as the economic downturn brought on by the COVID-19 pandemic began. The challenge is that each new platform adopted by an organization tends to increase the total cost of IT as organization acquire tools and hire specialists to manage those platforms. It’s not likely all those platforms will be managed via a single console, but Kukowski said it’s clear IT organizations are moving toward a more federated approach that will enable them to centralize the management of IT.

    In the meantime, Kukowski noted organization are collectively wasting billions of dollars on IT platforms that are employed inefficiently. Most of that waste stems from either overprovisioning of IT infrastructure, or simply because someone didn’t think to turn off a virtual machine left running on a cloud service.

    It may be a while before IT organizations are able to strike that perfect balance between flexibility and control that currently remains elusive. However, organizations that focus on improving a few small things today will find themselves in a much better position to manage what is rapidly becoming an over extended enterprise tomorrow. Right now, Kukowski estimated only about a quarter of IT organizations have the sophistication required to manage a hybrid cloud computing environment.

    There’s no doubt the management of IT will become more automated in the months and years ahead. The challenge organizations face today is determining what tasks either can or soon will be automated. Once that’s determined, it becomes a lot easier to identify what DevOps skills those IT teams will require tomorrow.

  • Too Many Organizations Get Public Cloud Wrong

    Too Many Organizations Get Public Cloud Wrong

    The cloud has been getting a lot of press in the past few years—and with good reason. The elasticity and flexibility of resources are transformational for businesses. However, there are also drawbacks. For most enterprises, it’s a significant undertaking to migrate on-premises applications into a public cloud environment.

    Modern applications today are rarely self-contained entities. Application dependencies occur when software components, applications and servers rely on one another to deliver a service. The typical enterprise manages hundreds, or even thousands, of interconnected components and services, forming a complex web of dependencies.

    If an application is migrated to the public cloud without understanding the dependent services, severe performance degradation can occur with applications that are still on-premises. For example, moving an e-commerce shopping application to the public cloud but leaving a key database on-premises will result in consumers experiencing a slower response.

    The Repatriation Problem

    IDC research shows that fewer than 20% of enterprise applications have been moved from onsite data centers to the public cloud, not because companies do not see value in the cloud, but because the process of getting those applications to the cloud is complicated.

    A survey of 350 cloud decision-makers in the United States and UK commissioned by Virtana and fielded by Arlington Research in November 2020 confirmed this. More than two-thirds (68%) of respondents have already migrated 25% or more of their applications to public clouds, supporting the IDC finding.

    Clearly, businesses recognize the value of the cloud. But another surprising result confirms that the migration process may be problematic. A whopping 72% of respondents said they have moved one or more applications from the public cloud back on-premises. Considering the time and effort cloud migrations require, this is a striking result. While there may be cases where repatriation is undertaken strategically to support evolving business needs, the reasons cited by respondents show most were rollbacks required because of unanticipated problems.

    There Is No Single Reason Why

    Almost half (41%) of respondents said they repatriated applications that should have stayed on-premises. The reality is that not all workloads are a good fit for the public cloud environment. You need a solid understanding of the various attributes of different workloads, such as data, back end, privacy and security requirements, to determine their inherent suitability for a public cloud environment.

    Technical provisioning issues challenged 36% of respondents. The sheer number of configuration options available—combined with the variety of computing dimensions that you have to take into account—means there are a lot of puzzle pieces that have to fit together, or you could run into problems.

    Almost one-third (29%) of respondents reported application performance degradation in the public cloud. The public cloud is a fundamentally different environment than an on-premises data center, and creating a hybrid environment further alters the nature of the infrastructure, so you cannot simply expect workloads to attain the same performance levels as you migrate them. And if performance slows to an unacceptable level, any benefits you gain by moving applications to the cloud are overshadowed.

    Around one-fifth (21%) admitted that they selected the wrong public cloud provider. Cloud providers are not all the same, and picking the wrong one, for any reason, can be an expensive and disruptive mistake.

    Finally, one-fifth (20%) of respondents repatriated applications because of unexpected costs in the public cloud. The public cloud’s pay-for-what-you-use model is appealing compared to the on-premises capex model, where you pay for capacity regardless of whether you use it. But there is a dark side; you have to pay for what you use in the cloud even when that usage is unexpected. Whether that is due to poor planning, an unanticipated surge or workload drifts over time, getting a nasty surprise in your end-of-month bill can put a big dent in your cloud budget.

    Eliminate Repatriation With Better Planning and Observability

    Any one of these reasons alone reflects a challenging setback to overcome. Unfortunately, many organizations run into more than one of these problems. In fact, one-third of respondents cited two or more of these reasons for repatriation, and 12% experienced three or more of these issues. This seems to indicate that organizations’ migration planning efforts are inadequate. It is not for lack of investment—78% of survey respondents said that even during the current challenging economic climate, they are continuing their migration to the public cloud at the same or an accelerated pace, signaling they believe public cloud deployments to be a strategic investment.

    The real problem is a lack of precision in observability—of workload characteristics in the data center pre-migration and of workload utilization and performance in the public cloud post-migration. The better you understand your applications, in minute detail, within the context of the environments they are moving from and to—a ‘know before you go’ approach—the less likely you will have to hit the “undo” button on your public cloud migration.

  • Security Policy Management and Hybrid Cloud with Tufin

    Security Policy Management and Hybrid Cloud with Tufin

    In this TechStrong TV / DevOps Chats interview, Colby Dyess, director of cloud product management at Tufin, joins Mitch Ashley to discuss security policy management across hybrid cloud, multi-cloud and cloud-native security. Recorded in late 2020, Colby shares some experience from working with customers during the rapid migration to the cloud in 2020.

    The video and podcast audio of the conversation is below, followed by the transcript. Enjoy!

    TechStrong TV Video

    DevOps Chats Podcast Audio

    Transcript

    Mitch Ashley: I’m joined today by Colby Dyess who is director of cloud product management at Tufin. Welcome, Colby. Welcome, it’s good to be talking with you. Would you introduce yourself, tell us a little bit about you and of course, tell us about Tufin.

    Dyess: Yeah, well, you’ve got my name and my title, so I’m dialing in here from beautiful Southern New Hampshire where it’s fantastic weather. So, I’ve worked for Tufin Technologies, Tufin is really well known in the industry for providing security policy management, mostly in the organizations like the Global 2000 complex environments where you need to make changes to the network environment and you need to be able to do it quickly, safely, ideally you do it automatically and it’s secure. The Tufin product suite helps organizations do that and we’ve done that in the traditional space. Of course, our customers have adopted cloud, cloud native platforms, Kubernetes, and we’ve been taking these same capabilities for securing the environments and bringing them into the cloud, so no matter where you put your workloads, we can help you, and that’s mostly what we’ve been focused on.

    Ashley: Good stuff. Boy, the center for the universe for a lot of folks. Kinda speaking of that and just thinking about the timing of where we all are, you know, there’s a lot of statistics. I run an analyst firm as part of MediaOps organization called Accelerated Strategies Group. Anyway, we have a lot of data showing some of the acceleration that’s happened, both in digital transformation and also move to the cloud, just in the last six to nine months. I don’t think that’s news to anybody, right? I don’t know if you need data to say that, because it’s happening probably in most people’s organizations.

    Dyess: Right.

    Ashley: If I put on my security hat for a moment, we always get plenty of notice when we’re making changes and doing new projects and accelerating stuff—sarcasm—so, I’m sure there’s a lot of security folks who are scrambling still just to not only keep pace, but make sure we’re all doing a good job of securing environments that our developers are taking this into, making sure we’re understanding the services we might be using now that we weren’t before, cloud services that we’ve been in. I’m sure you’ve seen a ton of that happening with your customers.

    Dyess: Yeah. It’s no surprise. Organizations have been moving to public cloud environments for a long, long time, at least, technically, for the past 15 years, they’ve been doing it, but it hasn’t always been sanctioned, right? Let’s say over the past five or eight years, organizations have really begun to intentionally adopt the cloud. And now this year, of course, everybody’s moved to the cloud about as quickly as they could.

    What we’re seeing, at least what I’ve seen a lot is, security is now scrambling to try and get ahold of some visibility—what’s really going on inside these cloud environments—and trying to put some sort of guardrails around the services that the Dev teams are using. That’s a real challenge because they’ve been focused so much on how to secure most of the on prem environment or use firewalls to protect the cloud space, but now they realize they’ve got to go a bit deeper, because the threats are pretty real out there and they’re really dynamic. And if you’re not sure how to secure the cloud environment, you’re going to leave yourself open to threats.

    So, security has really been spending a lot of time trying to learn more about cloud and cloud native security controls. We spend a lot of time helping customers figure out the difference between cloud native security controls and on prem stuff and then how to combine them so they can be assured it’s all secured. We see that a lot, yeah.

    Ashley: Well, you know, I mean, we’ve all been doing firewalls and intrusion prevention and access controls and the list goes on.

    Dyess: Yeah.

    Ashley: So, the topics aren’t new, but the environments are different and the services. It’s not like you can go into the cloud—no, let’s use all the things I’m normally using in my on prem environment. Maybe you can get some software versions of that. Sometimes it’s just better to use because it’s better integrated, you spend less time making the environment work by using what’s provided by the cloud provider.

    Dyess: Yeah. That pattern is the same everywhere. I’ve seen that you’re gonna go to a new environment, you wanna take some of the things that have worked for you in the past and carry them forward. And a lot of times, that makes sense as you try to move quickly into the cloud. If you’re not familiar with cloud native security controls, you probably think, “I’ll just use firewalls and the process for managing firewalls in the cloud.” And there are a lot of options to do that, a lot of the traditional vendors in that space have tried to make a pivot to offer their same services, same capabilities in the cloud environment. So, it’s no surprise that we see a ton of that.

    At the same time, those processes around managing all that stuff still takes too long. If you moved to the cloud, you went there for agility, right? You want to rapidly build applications and get them out into the market as quickly as possible. But if you’ve got to fill out a ticket to get a firewall changed and it takes three days for that stuff to be processed, you’re no longer as agile as you used to be when you could twiddle a little configuration in a Terraform template, redeploy, and—poof, you’re up and running all over again. That’s something that security teams—

    Ashley: If you take another two days to answer that ticket, you’re probably gonna have a fourth after your third _____ while you’re add it to the mix, right? Some developers are gonna be like, “I’m outta here, let me go set up the next environment.”

    Dyess: Yeah, it’s too difficult. You can’t wait. You don’t want to see shadow IT any longer, because IT was taking too long to respond, but you’ve got to respect that IT’s there, the security site of IT is just really trying to help protect the business.

    But you know, you also saw Amazon and AWS, they both announced their own firewalls, right? Azure did a little bit back and AWS just did within the past month. And I think that’s really just paying homage to the fact that those are really good technologies. Firewall technologies really are good stuff and it’s more than security groups or NSGs, it goes beyond that, and the businesses really need these. These do address customer problems. So, we’re seeing a lot of folks ask about how do they adopt those new to the cloud provider, new technology, and how do they integrate them into the very agile processes? And I expect we’ll see a lot more of that.

    In fact, what we are finding that we do often is try to help organizations see how they can get the most value out of the cloud native security controls, because these cloud environments are really, they’re pretty solid. And like you pointed out, the security controls are integrated into the services. So, it makes a lot of sense to use the services, they’re there to protect your assets and they’re so integrated in the services, you really should be trying to use them, but it’s a learning curve for security, so it means a lot to try and help them get the visibility and then start to affect control over that, so that they don’t have to slow down the rest of the business, swapping out, let’s say, a cloud native control with a legacy control [Cross talk].

    Ashley: Mm-hmm. It is that tradeoff, and I think that’s one of those where it’s sort of, I think it puts security teams in a position where, are we gonna stick to our guns of this is the environment we’re gonna have consistent across all of the environments we operate in, or for sake of speed but not sacrificing security, maybe we do look at some other options and can those integrate into the monitoring and management systems as opposed to using the same firewall in every environment that we take with us there, right?

    Dyess: Yeah, yeah.

    Ashley: Easier said than done. I appreciate it’s not an easy job.

    Dyess: Right. You know, whether you decide to use the cloud native security controls or use the traditional kinda controls, the virtualized versions of those or a combination of them, one thing I think we’re sharing is, we see a lot of conversations around how—which technologies to adopt and then how to actually manage those technologies.

    And from my point of view, it seems like we’re almost too focused on getting down into the weeds about the specific security control and, as a security person, I think it makes a lot of sense to step back a little bit and try and focus on what’s the overall security policy. Instead of thinking what firewall should I use, should I use one from the cloud or should I use from my traditional vendor, maybe a better question to help organizations remain agile is for security to be able to focus on what the security policies are, what the guardrails should be, and then begin to get the practice of checking cloud environments against those guardrails, against these policies as part of your CI/CD pipeline, the whole buzzword of shift left.

    That’s a real thing, right? That’s really important. That security can focus on defining security policies where they have the strength, but the actual implementation of enforcing the security policy is probably handled by the cloud operations or whoever actually twiddles the bits on the security controls. Like, if you can marry those two things together and you can do it in the CI/CD pipeline, then that’s a huge win.

    We’ve seen organizations move a lot faster because security focuses on what they do and they get it codified in a way that can play in a pipeline, and now the app teams, they can make changes to an application or a cloud Ops can change the configuration of an environment and get an alert saying it doesn’t comply with the security policy. That’s great. To step away from choosing which sort of security device you want to use and focus on do things comply with the security policy? That’s a major shift, and one that seems to be really hard for organizations to do. I think to kinda get away from security being hands on with the control and now focused on the policy—it’s trust but verify, I think.

    Ashley: [Laughter] Back to that old saying, right?

    Dyess: Yeah.

    Ashley: You know, in a way, it also comes down—you know, we’re used to, let’s first take an inventory and make sure we know what’s all out there that we’re trying to secure.

    Dyess: Sure, of course.

    Ashley: But it’s equally just as important to have, whether it’s change management practices or software that can help you with notifying when changes occur or understanding, so when a change occurs, how does that map back to policies that we have in place and are we still in alignment, are there gaps that we have to take care of? Because the environment isn’t—it isn’t an environment we control everything in any more. It changes by itself, because other people are changing it along with us. So, it seems like it’s a more dynamic environment than maybe what we had 10 years ago, if you reflect back a bit.

    Dyess: Intentionally more dynamic, right? Businesses have to move faster, we also have to react more quickly to customer demand or competitive threats or whatever. So, the fact that we’ve got these dynamic environments is just a reflection of what we actually needed to have built, anyway. And now, we need to find a way to incorporate that back into our regular practices.

    So, you made the comment about being able to track what’s changed and when and all that, but if you adopt more of an infrastructure as code model, you already have that. You don’t need a CMDB—maybe you do, but you don’t have to have a CMDB in place when you could go back to your Git logs and see, oh, here’s the pull request for the change that we made that allowed for this security group to be open or for this Azure firewall to have this particular rule. You can actually see that information, but these are, on the security side, these are new tools. As a security person, when was the last time you looked into a Git repo to see what the configurations were? [Laughter]

    Ashley: The repo—right, GitOps and security, right?

    Dyess: Right. Right, but we’ve got to get somewhere around there, as a group collectively, whether we’re writing the code or we’re managing the operations or we’re managing the security collectively, we’ve got to be able to collaborate and use these tools that I can’t say are merging, they’ve been around a long time. Terraform and Helm, Ansible, Chef, Puppet, the whole bit—these things have been around for a while, but to incorporate them now into our security practices is a pretty big leap for folks.

    Ashley: Mm-hmm.

    Dyess: So, we really try to encourage that the security team gets the visibility that they need, that’s the first thing, as you pointed out, right? You absolutely need to understand what’s deployed, what’s talking to what and whether or not things are properly segmented.

    You’ve got to first get that visibility, but I think before you start jumping into let’s throw a bunch of other control points in there, consider what resources are there and how can you, on the security side, participate in automation, participate in these flows that your CloudOps, DevOps, SRE, whomever had set up. Because there’s a really good opportunity now on security to be part of this agile process and to allow the business to be secure, but to do so in a way that won’t break the developer productivity.

    Ashley: Mm-hmm.

    Dyess: And that’s, it’s uncomfortable, because it’s a big change, but it’s a change that I know it can be done successfully. We’ve worked with companies that have done that, you know, make the conscious decision.

    Ashley: I almost wish we had stepped back and redefined shift left, because if, you know, I were king of the world for a nanosecond, I would think about it as, it’s not just about getting security people to work with the software teams earlier in the life cycle of software—yes, it’s that. But think about it this way of, the old world was, set the policies and then how do we implement the enforcement mechanisms, right, to make sure that those are being followed.

    Dyess: Mm-hmm.

    Ashley: I think in the world we’re in now, it’s, security people are, if you were gonna set up a security practice in an organization today, what I would do is, let’s start with how software is created, let’s work with the team about how the entire tool chain is set up, how that flow happens, both for application software, but also for the infrastructure and how that gets created where we’re talking about test environments and production environments and maybe you’re stepping into infrastructure as code if it really, truly is kinda dynamic Terraform or whatever kind of environment.

    But start there, because if you understand how that’s done, now you know how to secure it. You know how to work with teams to help them secure it, then the next layer would be getting into the software architecture itself around microservices and things that are more porous than we’re used to, kinda the hard outer shell of monolith applications of the past.

    That, to me, is the mental shift, the big mental shift for a security team to not necessarily be an expert at all that stuff, but understanding that’s what you’re really securing now.

    Dyess: So, two things that stand out, like responses I can imagine people having right now and that’s, I don’t have time to go and learn all that stuff. [Laughter] I’ve already got 20 other tickets for all high priority things. I’ve gotta get on that right now, so I can’t go and learn all that stuff. Valid, that’s definitely the case in a lot of organizations, yeah.

    And another problem related to this is security teams who maybe do want to know, maybe have some time to do that, but struggle that the application teams themselves don’t even know what makes up the application and what connections do they need. So, even the folks who you think would know because they built it, you’d think they would know the answers to some of these questions, but it turns out that they don’t—in a shockingly large number of scenarios, that’s the case.

    Ashley: Mm-hmm.

    Dyess: And so, if you’re gonna shift left, you’ve got to address not just the problem of the security team getting visibility in this—or maybe, actually, it’s the same thing. The application teams have to be able to come to the table to say, “This is what the application looks like. Here’s how it’s put together. Here are the resources it needs and here are the services that will rely upon it.”

    Ashley: Mm-hmm.

    Dyess: And so, if application groups can come to the table with that, then a security team can look at it usually very quickly, look at a map and say, oh, I can see where it needs to be segmented this way. I can see where he’s a resource that has too close of an access to PII, PCI, right? And so, that conversation could start a lot sooner if it’s part of your normal bill practices, you were generating these views, you had some way to produce an item that a network team or security team could look at, right? They don’t need to look at the source code, they need to look at your network topology, they need to understand what you’re connecting to.

    So, if you can bridge that gap, that goes a long way. So, to your point, it’s not just like, “I just need to check if it doesn’t comply with the policy.” Sometimes, it’s even just trying to define the policy at the outset.

    Ashley: Yeah, on what you’re trying to secure.

    Dyess: Yeah, but also, while security never seems to get the heads up about the things that are coming down, the joke that you made at the beginning, it’s also the case that when the application team is building something that they don’t really have all the rules, they’re not sure what all the restrictions are, and there are certainly plenty of guardrails, guidelines that they could have if you give them access that they could pull from an API to do their own checks.

    So, you know, there’s a model. We’ve done this before in the industry, back when I wrote code, we had a separate QA team, so we’d write code, we’d do a little bit of testing, but just enough, frankly, to get us through the build, right? And then we throw it over the wall and it went over to QA. And then thankfully, our development practices matured to a point where we realize we actually need to integrate testing as part of what we do. So, as developers, we had to own some of that testing, some more of the testing, but also importantly, the test team got involved earlier in the application life cycle, the model you were talking about. So, the QA teams could come in and learn a bit more and begin to set up some of the additional tests and participate in the build process, so what they did showed up in NMake.

    So, I think security is on a path like that as well. I think security, instead of app teams just throwing it over the wall and asking security to figure out how to lock it all down, I think we’re going to, and in some places, some customers for sure are moving to a place where security is part of the process earlier, and if they can say, “Here’s some of the tests,” so now the guardrails, they can contribute some of that and they can go into this build process, then now you’ve really begun to get that shift left.

    But I know this can happen. We’ve seen it happen before. Now QA is just integral to what we do. You can’t even imagine putting a product out without some part of QA being part of the build process and tests happening really early on, test planning happening early on. I imagine security just going in that same sort of loop.

    Ashley: Yeah, of course Tufin’s been in this space for a while, has built up, I’m assuming, a body of knowledge about this. If you were gonna advise maybe a new customer or an existing customer on—okay, we’re always playing catch up, we’re really playing catch up now with how much more cloud services that organizations are using in such a short period of time, what are some of the sort of best practices or recommendations of, “Here’s to sort of get the first thing established, here’s the next thing to work on, here’s the next thing to work on.”

    Dyess: Yeah.

    Ashley: Any suggestions about that?

    Dyess: Sure. We have this whole crawl, walk, run methodology, and it’s designed to help organizations take these small steps towards getting to really secured environments. And the first step right away is just to get visibility, which is kind of a “no, duh” statement, but it’s actually one of the big problems that orgs have. You’ve got to be able to see what’s deployed inside your cloud, what’s deployed inside your cluster, and which resources are communicating with each other, where are the dependencies.

    So, understanding that is a really major first step. It’s true for the application teams, but for the security, it’s to know are things properly segmented, where are the biggest risks? So, getting that awareness, that’s really the crawl phase. And in the walk phase, that’s where you take what you’ve learned about what’s deployed, what talks to what, and whether or not things are segmented properly and then you begin to isolate. Here are specific accounts that we need to tackle or here are clusters that we need to tackle—like, hone in on the higher priority items and begin to define a security policy for those cloud native environments.

    And as you develop the cloud native policies, which you then share with the application teams or the cloud operators, whoever’s responsible for configuring it. As you develop that sort of, that skill, you’ve gotta get to the run phase, and the run phase is when you begin to automate this. You automate generating security policies, you automate validating security policies, but at the very beginning, where most organizations are at right now is, first get the visibility and then the second step of defining a security policy. Not defining what is my security group definition, not defining what is my AWS firewall definition, but what is my security policy? What are the rules that should govern access to applications, assets, resources of certain categories? Those are two big steps to take right away.

    Ashley: I think that’s some great advice. I’m curious, any thoughts as we—I think we all want to turn the page on 2020 and kinda get to 2021, and hopefully, we’re looking at a different kind of a year. But one of the things about 2020 is, we’re not gonna go back, I don’t think. We’re not gonna go back to, let’s rewind to January and start working in that environment again, right? Everything is changed with remote work or how much we’re using the cloud.

    What are some things that you’re anticipating for 2021 as you look forward in the next 6 to 12 months. Do you kinda think it will be topics maybe not as talked about yet but will be more topical in 2021? I’m just kinda asking you—

    Dyess: Are you asking for predictions of 2021?

    Ashley: You know, I don’t see it, but I’m pretty sure, there might be a crystal ball right behind your chair, just look back a little bit there and kinda check back. [Laughter]

    Dyess: [Laughter] Well, I think, given the maturity of the market adoption of public cloud environments, I think we’re going to see more security teams getting their arms around how to help in securing these cloud environments without necessarily always relying on the traditional devices. We’re already starting to see that even now. So, I think we’ll see more of the cloud native security control adoption. I know organizations have seen the benefits of doing that to lower cost of operations, just total lower cost of ownership, plus the benefit of being able to say when there’s a problem, I can call my cloud vendor, I don’t have to worry about vendors poking at each other. So, I think we’ll see more of that.

    I think it’s the Kubernetes space that’s probably the most interesting, because it’s the least well known for most folks on the security side.

    Ashley: Mm-hmm.

    Dyess: So, I’d say maybe over the past year, there’s been a lot of emphasis, just like with cloud, slap a firewall on it and we’ll solve the problems of micro-segmentation later, but later is gonna happen real quick, and I’d expect in 2021, you’ll see securities start to get more involved in getting visibility into the clusters and then looking to define the security policies.

    And not—again, not to try and define the policy of an individual cluster, but just the general rules, because there’s no way we can keep up with what will really be thousands of services running inside of a cluster.

    Ashley: Yeah.

    Dyess: So, we’ll see that. I think we’ll see more organizations at the security side have to deal with the scale and the rate of change and begin to participate in the automation processes that the Dev teams are using to manage it.

    Ashley: Maybe that’s something we’ll hear more frequently. I wouldn’t be surprised if the—let’s think of it as cloud native security, not just as security, sort of think about it as one of you architectural approaches to how you do security.

    Dyess: Cloud native. The native controls of the cloud provider—yeah, that’s a big shift for folks, I think.

    Ashley: It is. We’ll see if something like that happens. And I think the things you said made a lot of sense. Well, it’s been great talking with you, it’s the first chance you and I have had to talk before, and—

    Dyess: Yeah, it was good to talk to you, Mitch.

    Ashley: – a lot of fun. Tell us a little bit about where folks can learn more about Tufin.

    Dyess: Yeah, of course, you can go to Tufin.com, that’s T-U-F-I-N dot com. On the cloud side, like what’s really relevant to what we’re doing here, we’ve got a lot of resources at Tufin.com/try-securecloud. It’s cloud native security controls. It’s really designed to help you get visibility and control the cloud native security components. Great stuff there, free to use product. There’s a great trial for people to give a go. Tufin.com would be the place.

    Ashley: Great. Perfect. Thanks. Well, we wish you the best and a even better 2021, we’ll look forward to that.

    Dyess: Yeah. From your lips, man.

    Ashley: [Laughter]

    Dyess: Good luck in 2021, everybody.

    Ashley: There you go. Hang onto that, hang onto that. Alright, well, take care. It was very nice talking with you, Colby—Colby Dyess from Tufin.