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Tag: Multi-cloud

  • Survey Surfaces Multi-Cloud Computing and Cost Challenges

    Survey Surfaces Multi-Cloud Computing and Cost Challenges

    A survey of 360 CIOs and IT leaders in the U.S. and the United Kingdom found that, as the number of cloud platforms an organization employs expands, the number of tools they are required to deploy and master does, too.

    The survey, published this week by Virtana, a provider of a platform for managing cloud migrations, found nearly two-thirds of respondents (63%) reported their organization relied on at least five separate tools for migration, cloud cost optimization, integrated performance monitoring, application performance management and cloud infrastructure monitoring. A full 83% are expending some level of manual effort to consolidate data from all of these tools, or are simply using them in isolation from one another. Only 17% said data integration is fully automated.

    Nearly three-quarters (73%) also noted that siloed efforts limit their ability to realize the full potential of the cloud.

    It appears that multi-cloud computing only makes managing IT more challenging. Not to mention the increased pressure a multi-cloud approach puts on DevOps and developers that already juggle an overwhelming number of tools for development, DevSecOps and more. And, of course, the risk of cloud misconfiguration grows alongside the number of cloud platforms an organization uses.

    According to the Virtana survey, a total of 82% of respondents have a multi-cloud strategy, with more than three-quarters (78%) deploying workloads in more than three public clouds. A full 59% now run more than half of their workloads on public clouds. More than half (51%) also plan to increase the number of public cloud instances they support this year, with more than a third (34%) planning on using five or more cloud platforms.

    More challenging still, more than three quarters (76%) are in the early stages of implementing serverless computing frameworks. Overall, more than half (52%) will continue to maintain a hybrid environment as part of their core IT strategy. A full 96% of respondents see value in workload portability, but only 71% are in the early stages of achieving that goal. Top benefits anticipated include maximized cost savings (58%), reduced cloud service provider risk (46%) and increased business agility (43%). However, nearly three-quarters (75%) have either no or few cloud governance capabilities (34%) or have stitched together disparate tools to achieve that goal (41%).

    Jonathan Cyr, vice president of product management for Virtana, said that as the global economy becomes more challenging, it’s only a matter of time before sensitivity to cloud costs start to rise. Each time the overall IT environment expands, increases in complexity drive the total cost of IT higher.

    It’s not clear to what degree that sensitivity to cloud cost might drive more IT organizations to centralize the management of IT environments. In theory, a single control plane could be employed to manage multiple cloud computing environments, but today most clouds are still managed in isolation from one another.

    IT teams also find themselves inadvertently locked into a cloud platform. The more developers invoke proprietary application programming interfaces (API), the more difficult it becomes to migrate a workload from one cloud platform to another.

    It’s all but certain there will be a cloud management reckoning in the months ahead. Development teams may prefer one cloud platform over another for many reasons but, as the cost of IT continues to increase, there will soon be tougher cloud cost questions emanating from the finance office.

  • 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.

  • Defining the Next Cycle of Technology

    Defining the Next Cycle of Technology

    We’re in the middle of what we at ScyllaDB dubbed The Next Tech Cycle. Not “The World of Tomorrow” nor “The Shape of Things to Come” nor “The Wave of the Future”—because it’s already here today. We’re right in the middle of it. It’s a wave that’s carrying us forward, but it began with trends that got their start earlier this century.

    Everything is co-evolving, simultaneously, from the hardware you run on to the languages and operating systems you work with to the operating methodologies you use day-to-day. All of those familiar technologies and business models are themselves undergoing revolutionary change.

    This Next Tech Cycle Goes far Beyond “Big Data”

    We’re talking about huge data. Welcome to the Zettabyte Era. This era, depending on who is defining it and what it is measuring, either started in 2010 (if you’re measuring total data stored on earth) or in 2016 (if you’re measuring total internet protocol traffic in a year).

    Right now, individual data-intensive corporations are generating information at the rate of petabytes per day and storing exabytes in total. There are some prognosticators who believe we’ll see humanity, our computing systems and our IoT-enabled machinery generating half a zettabyte of data per day by 2025.

    Yet, conversely, we’re also seeing the importance of small data. Look at the genomics revolution.

    Because the RNA gene sequence of, say, COVID-19 is actually not that big, data-wise—you can store it in less than 100kb; less than an ancient floppy. But it is increasingly important to understand every single byte of that information because vaccinating against this global pandemic requires understanding every change of that rapidly-evolving pathogen.

    So, this next tech cycle has to scale everything from huge data and small data systems. And the database you will use and the data analytics you perform need to align with the volume, variety and velocity of the data you have under management.

    “Great! Now Make it All Multi-Cloud!”

    Also, this next tech cycle is not just the “cloud computing cycle.” AWS launched in 2006. Google Cloud was launched in 2008. And Microsoft Azure was formally launched in 2010. So, we’re already well over a decade past the dawn of the public cloud. Yet this next tech cycle definitely builds on the ecosystems, methodologies and technologies these hyperscalers provide.

    The database you use also has to align with where you need to deploy it. Does it only work in the cloud, or can it be deployed on-premises far behind your firewall? Does it just work with one cloud vendor or is it deployable to any of them? Or all of them simultaneously? These are important questions.

    Just as we do not want to be locked into old ways of thinking and doing, the industry does not want to be locked into any one technology provider.

    If you’ve just been mastering the art of running stateful distributed databases on a single cloud using Kubernetes, that’s not good enough. Now you’re being asked to do it all over again; this time in a hybrid or multi-cloud environment using Anthos, OpenShift, Tanzu, EKS Anywhere or Azure Arc.

    Computing Beyond Moore’s Law

    It’s also not the basic broadband or wireless internet revolutions. We’re a full two decades into both of those. Yet the advent of gigabit broadband and the new diverse range of 5G services—also capable of scaling to a gigabit—enable incredible new opportunities in real-time data streaming services, IoT and more.

    So how does your database work when you need to connect to systems far and near? How important are the limitations of the speed of light to your latencies? How well do you deal with data ingested from hundreds of millions of endpoints at gigabit-per-second scale?

    And finally, underpinning all of this are the raw capabilities of silicon, summed up by the transistor and core counts of current generation CPUs. We’ve already reached 64-core CPUs. The next generation(s) will double that, to the point where a single CPU will have more than 100 processors. Fill a rack-based high-performance computer with those and you can easily get into thousands of cores per server.

    And all of this is just traditional CPU-based computing. You also have GPU advancements that are powering the world of distributed ledger technologies like blockchain. Plus, all of this is happening concurrently as IBM plans to deliver a 1,000 qubit quantum computer in 2023 and Google plans to deliver a computer with one million qubits by 2029.

    This next tech cycle is powered by all of these fundamentally revolutionary capabilities. It’s what’s enabling real-time full streaming data from anyone to anywhere. And this is just the infrastructure.

    If you dive deeper into that infrastructure, you know that each of the hardware architecture bottleneck points is undergoing its own revolution.

    We’ve already seen CPU densities growing. Yet vanilla standalone CPUs themselves are also giving way to full systems on a chip (or SoCs).

    And while they’ve been used in high-performance computing in the past, expect to see commonly-available server systems with greater than 1,000 CPUs. These will be the workhorses —or, more specifically, the warhorses—of this next generation: Huge beasts capable of carrying mighty workloads.

    Memory, another classic bottleneck, is getting a huge boost from DDR5 today and DDR6 in just a few years. Densities are going up, so you can expect to see warhorse systems with a full terabyte of RAM. These and larger scales are going to be increasingly common—and, for businesses, increasingly affordable.

    Storage is also seeing its own revolution with the recently-approved NVMe base and transport specifications, which will enable much easier implementation of NVMe over fabrics.

    Now, software will have to play catch-up to these capabilities. Just as it took time for kernels and then applications inside of a vertically scaled box to be made async everywhere, shared-nothing, sharded-per-core, and NUMA-aware, this next tech cycle is going to require systems to adapt to whole new methodologies of getting the most from these new hardware capabilities. We will need to reconsider many foundational software assumptions.

    Evolving Methodologies: Agile and Beyond

    Speaking of methodologies, just look at these from the dawn of the millennium and onward. As an industry, we’ve moved from batch operations and monolithic upgrades performed with multi-hour windows of downtime on the weekend to a world of streaming data and continuous software delivery performed 24 × 7 × 365 with zero downtime ever.

    And by migrating to the cloud (and this always-on world) we’ve exposed ourselves and our organizations to a world of random chaos and security threats. We now have to operate fleets of servers autonomously and orchestrate them across on-premises, edge and multiple public cloud vendor environments.

    While Scrum has been around since the 1980s, and continuous integration since 1991, in this century, the twelve principles of the Agile Manifesto in 2001 altered the very philosophy—never mind the methodologies—underlying the way software is developed.

    The Agile Manifesto’s very first line talks about the highest priority being “to satisfy the customer through early and continuous delivery of valuable software.”

    However, the specific term continuous delivery (CD), as we know it today, didn’t take hold until 2009. It was then joined to continuous integration and coincided with the birth of what we now know as DevOps.

    With that, you had a framework for defining change-oriented processes and software life cycles through a responsive developer culture that now, a decade or two into this revolution, everyone takes as a given.

    This graph shows how continuous integration (CI) and continuous delivery (CD) evolved independently. They were eventually conjoined by the term CI/CD, whose popularity as a search term only began to rise around 2016 and did not displace the two separate terms until early in 2020. It is now increasingly rare to refer to CI or CD separately, according to Google Trends.

    Onto that baseline were built tools and systems and philosophies that extended those fundamental principles. The Chaos Monkeys of the world, as well as the pentesters, want to break your system—or break into them—to uncover flaws and defects long before something stochastic and catastrophic or someone maliciously does it for you.

    Cloud-native technologies like Kubernetes and single-source-of-truth for infrastructure methodologies like GitOps were created out of sheer necessity to scale systems to the hundreds of thousands of production software deployments under management.

    DevSecOps

    And that’s still not enough. We’ve already seen software supply chain attacks like SolarWinds, low-level system attacks like Spectre, Meltdown and Zombieload, or human-factor threats like viral deep fakes and millions of fictitious social media accounts using profile images generated by generative adversarial networks, never mind millions of IoT-enabled devices being nefariously harnessed for distributed denial-of-service (DDoS) botnet attacks. Just recently, news broke of the Log4j vulnerability—our best wishes to anyone who was patching code this past holiday season.

    These are all just the bowshocks of what’s still to come.

    So now, your AI-powered security systems are locked in combat every day in real-time against the threat actors attempting to undermine your normal operations. We know this because a growing number of intrusion prevention and malware analysis systems are built at terabyte-and-beyond scale using distributed databases as their underlying storage engines.

    Hence, these days, rather than just DevOps, increasingly we talk about DevSecOps—because security cannot be an afterthought. Not even for your MVP. Not in 2022.

    And these methodologies are continuing to evolve.

    Summary

    This next tech cycle is already upon us. We’re in the thick of it. You can feel it in the same way you’d yearn for major life or career change. Maybe it’s a programming language rebase. Is it time to rewrite some of your core code as Rust? Or maybe it’s in the way you are considering repatriating certain cloud workloads or extending your favorite cloud services on-premises such as through an AWS Outpost. Or maybe you’re actually looking to move data to the edge? Planning for a massive fan-out? Whatever this sea change means to you, you’ll need rock-solid infrastructure that’s available today to take workloads into production right now, but flexible enough to keep growing with your emerging, evolving requirements.

  • Tackling the Complexities of Multi-Cloud With a New IT Model

    Tackling the Complexities of Multi-Cloud With a New IT Model

    The pandemic put incredible pressure on organizations to modernize and accelerate digital transformation efforts, with many businesses rushing to embrace cloud strategies in response. According to this year’s Enterprise Cloud Index from Nutanix, multi-cloud—an IT operating model that combines multiple clouds, public or private—is the most commonly deployed IT environment and the only IT model on an upward adoption trajectory. In fact, nearly two-thirds (64%) of organizations plan to operate a multi-cloud environment within three years.

    But there are complexities and challenges of managing across cloud borders that organizations are still grappling with, and concerns about security, data integration and cost remain. Enterprises will need to find ways to leverage existing cloud investments and redefine best practices and what it means to have agility and resilience in IT.

    Current Challenges

    Businesses have traditionally been designed around managing costs, increasing efficiency and streamlining operations, but lean IT teams find themselves under new pressures to support the challenges we’re facing today. The pandemic forced organizations to prioritize implementations and view the public cloud as a quick solution for everything without proper due diligence at the expense of optimization. This approach lacked focus on strategic business outcomes, and ultimately led to increased complexity, higher costs and less flexibility. According to the study, 87% of respondents agreed that multi-cloud success requires simpler management across mixed-cloud infrastructures.

    Enterprises also continue to rank improving security as a top IT priority, yet managing security was among the top multi-cloud challenges cited. Additionally, the majority of respondents (80%) say that moving apps can be time-consuming and costly, and 77% agree that workload portability is a significant challenge. This underscores the need for uniform management and operations across different cloud environments to avoid costly and time-consuming efforts to move applications.

    “Cloud-Smart” approach to IT

    Current cloud thinking is that there’s a “best” cloud environment for each workload or application, but there is no one-size-fits-all approach to the cloud. Organizations will start to move away from blanket cloud-first approaches to IT, and instead, be more thoughtful about which workloads run where. It is no longer a foregone conclusion that taking every app or workflow to the cloud permanently is the best course of action. The adoption of this “cloud-smart” approach, leveraging the most appropriate cloud environment for each use case, is likely a primary driver behind the proliferation of multi-cloud.

    The use of IT infrastructure by organizations is becoming more strategic over time. Nearly three-quarters of IT professionals (72%) feel that the IT function in their businesses is seen as more strategic now than it was a year ago. While businesses are now viewing and using IT more strategically than ever before, the complexity of multi-cloud is creating challenges that are standing in the way of cloud success. Despite challenges, a strong case is made for why the future of IT is hybrid multi-cloud, a model that enables more operational consistency across clouds. In fact, 83% consider it ideal.

    Multi-Cloud Supports New Ways of Working

    The pandemic has changed how nearly all organizations operate, and the top reasons cited by businesses for changing their infrastructure and deployment models are improving remote work and collaboration. While an organizations’ remote workforces may fluctuate, they are here to stay for the foreseeable future and IT will need to be nimble to support a remote, hybrid workforce and keep people productive and connected regardless of location.

    Over half (61%) of organizations are focused on offering more flexible work setups because of the pandemic, and multi-cloud supports this new way of working. It offers the most agile IT environment for supporting this kind of flexibility by distributing data and allowing remote access to business applications from diverse geolocations for user proximity and business continuity, and enabling organizations to implement technology that helps retain and attract talent.

    Multi-cloud is here to stay—and is the only operating model that is expected to increase in the coming years. 2022 will bring about a shift towards hybrid multi-cloud deployment as organizations look to take advantage of what each cloud has to offer while still having the flexibility and freedom of choice around their applications and data. This would deliver on the flexibility and agility that most organizations seek to compete in today’s digital world while enabling enterprises to significantly simplify operations. Future-proofing cloud strategies is the key to building IT resilience.

  • 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.

  • Designing Your DevOps Ecosystem for Multi-Cloud

    Designing Your DevOps Ecosystem for Multi-Cloud

    As companies grow and expand to become global enterprises, IT infrastructure inevitably becomes more complex. When it comes to cloud computing, that usually means maintaining multiple clouds. There are many reasons for using different cloud service providers (CSPs)—some by choice and others by mandate. 

    For instance, a large enterprise with operations around the world may choose to use an in-country cloud vendor to be closer to the customer, therefore reducing latency and increasing application performance for operations in that country. Alternately, in some countries, data residency laws require that certain kinds of data reside on cloud providers within the country’s borders, which means companies with local operations can only use a cloud provider in that country. Both circumstances lead companies to maintain multiple clouds to facilitate operations at scale. Additionally, a company may decide to use two or more cloud providers as part of a fallback strategy to automatically reroute network traffic to another provider if a major outage occurs.   

    Regardless of whether the use of multiple CSPs is a choice or a mandate, enterprise IT leaders—and DevOps teams in particular—need to think strategically about multi-cloud environments and design their software delivery ecosystem from the outset to accommodate a multi-cloud strategy. 

    Best Practices for Multi-Cloud Environments

    An effective multi-cloud DevOps strategy is essential for allowing businesses to easily scale application delivery across many different cloud assets and is therefore vital for enterprises operating globally. To create an effective strategy, consider these best practices.

    Use a Centralized Software Delivery Platform

    With many CSPs—each with different requirements and tools—companies too often create siloed software development and delivery teams by vendor (AWS, Azure, GCP, etc.) or functional role (security, compliance, etc.). To avoid this pitfall and maintain control and visibility across all cloud providers, it’s important to implement a centralized software delivery platform, ideally one that’s environment agnostic. This will give your DevOps leaders the intelligence and insight they need to manage the entire software delivery ecosystem across multiple clouds anywhere in the world. At the same time, automated delivery processes can ensure quality checks and other milestones aren’t missed regardless of the cloud destination and that reporting, analytics and metrics from a centralized platform can identify and eliminate bottlenecks across different clouds. 

    Use Cloud-Agnostic Tools

    Most cloud vendors have their own tools. However, maintaining a multi-cloud environment using vendor-specific tools can lead to lock-in and which can be costly and time-consuming to remediate. Too often, when companies move to the cloud, they use a set of vendor-specific tools for their software delivery processes. That works well initially, but as the company scales and requires a multi-cloud approach, the teams either find themselves heavily siloed without visibility across the whole ecosystem or there is significant technical debt that needs to be overcome. To avoid this, companies need to plan for the use of cloud-agnostic development and deployment tools from the outset so you can easily shift applications to different cloud providers as necessary to keep pace with changing business needs.

    Create Cloud-Agnostic Templates

    As developers assess and use tools and applications for different clouds, environments and use cases, they can create templates and abstracts to share lessons learned across teams, increase productivity and speed development cycles regardless of the destination CSP. For enterprises with more advanced DevOps practices, self-service capabilities—like a shared module catalog—can further speed development processes. 

    Make the Most of a Multi-Cloud Environment

    Once your enterprise has embraced a multi-cloud approach and the DevOps systems and processes are in place to efficiently deploy applications across different CSPs, a multi-cloud environment can be used to your strategic advantage—to increase flexibility, speed software delivery and reduce costs. Here’s how:

    Align Application Destinations to Specific Clouds

    When you’re not dealing with the confines of country-specific cloud providers, IT and DevOps leaders can strategically align applications to specific cloud providers by region or country to reduce latency, optimize workloads or take advantage of specific service offerings from a particular CSP.

    Use Application Features in Different Clouds

    This concept is a great way for DevOps to leverage a multi-cloud architecture. If an application is run in one cloud and you want to add a feature that uses an application from a different cloud in your IT footprint, you can create a multi-cloud cluster using the same underlying cloud database to support both workloads. In this scenario, a production node resides in cloud A and runs in parallel to the read-only node in cloud B. This helps developers avoid the headaches that come with custom scripting as well as the costs of maintaining a backup and restore scenario.

    Reduce Costs and Improve Performance with Cloud Arbitrage

    This strategy is somewhat new, but it’s becoming more and more mainstream as competition increases among cloud providers. Here, you use a multi-cloud cluster to shift your workloads among several cloud providers to optimize your cloud environment and take advantage of negotiated discounts, specialized support, higher availability, lower latency or other unique features offered by a specific CSP.

    To keep pace with our rapidly changing world, enterprise-scale organizations must be able to manage software delivery across multiple clouds. If your DevOps systems and processes aren’t designed for flexible development and delivery across different CSPs, you could limit your ability to adjust and successfully manage major disruptions or scale to take advantage of new opportunities.

  • Survey Surfaces Observability Challenges in the Cloud Era

    Survey Surfaces Observability Challenges in the Cloud Era

    A recent cloud observability survey found nearly two-thirds (64%) of respondents reported the adoption of public clouds has made it more difficult to achieve observability. Nearly half of respondents (48%) said they now consider providing real-time insights into application/infrastructure environments to be a top priority.

    The survey polled 357 IT professionals and was conducted by Enterprise Strategy Group (ESG) on behalf of Yotascale, a provider of cost optimization tools for cloud computing environments.

    Yotascale CEO Asim Razzaq said that attaining and maintaining observability becomes more challenging with each new cloud platform adopted. The survey found that 71% of organizations now rely on more than three cloud infrastructure providers.

    A full 84% of survey respondents also noted that tracking costs and cloud cost allocation is burdensome and time-consuming, and 61% admitted they lacked sufficient visibility into which teams own what cloud resources. Nearly a quarter (24%) are considering making changes to their monitoring and observability practices as infrastructure costs rise.

    Observability has always been a core DevOps tenet, but achieving and maintaining it is challenging. Most DevOps teams today aspire to be able to maintain some level of continuous monitoring. However, as it becomes easier and less costly to instrument applications, interest is rising in observability platforms that simplify the investigation of anomalies indicative of an issue that could disrupt an application environment. As that shift occurs, more organizations will seek to correlate events with costs as part of an effort to rein in the costs of IT, said Razzaq.

    In the immediate aftermath of the COVID-19 pandemic, the number of workloads being deployed on public clouds increased sharply. In theory, many organizations signed enterprise licenses that reduce cloud costs if they consistently consume a certain level of infrastructure resources. In practice, however, individual developer teams are showing a preference for one cloud platform over another based on the attributes of their workloads. As a result, however, it becomes more challenging to not only consistently observe diverse platforms but also to control costs.

    It’s still early days as far as the adoption of observability platforms is concerned, but it’s apparent that as application environments become more complex the plethora of monitoring tools that DevOps teams rely on will need to be streamlined. It’s not uncommon for DevOps teams to have multiple monitoring tools that surface a set of pre-defined but often conflicting metrics. Observability platforms unify logs, metrics and traces in a way that makes it simpler to launch queries to identify the root cause of an issue.

    The rate at which DevOps teams will embrace observability will naturally vary. In 2022, the biggest obstacle might not be the technology as much as it is simply understanding what queries can help DevOps teams better understand the root cause of an IT issue before there is a major disruption. In the long term, it’s expected that machine learning algorithms will leverage the data collected by observability platforms to automatically identify issues that might lead to a disruption long before it actually occurs. Regardless of approach, however, the ability to manage complex IT environments in the months and years ahead will continue to steadily improve.

  • Multi-Cloud Computing is a Major IT Headache

    Multi-Cloud Computing is a Major IT Headache

    A CloudBolt Software survey of 500 senior IT, DevOps, security and finance leaders found 79% are struggling under the weight of managing multiple cloud computing environments.

    The survey from CloudBolt Software, a provider of a cloud management platform, found specifically that more than three-quarters of respondents (78%) said they have too many cloud tools throughout their enterprise, and 80% struggled to achieve comprehensive visibility into cloud usage and spending. A total of 80% also noted that their current approach to cloud computing created new security vulnerabilities.

    A full 88% said they need a “manager of managers” that would enable them to unify the various silos that have multiplied across their IT environment.

    Nevertheless, 78% of respondents said that moving to the cloud enabled them to achieve cost savings compared to running applications in an on-premises IT environment.

    CloudBolt Software CEO Jeff Kukowski said the issue is not so much that IT organizations regret shifting workloads to the cloud; instead, the issue is finding a way to manage multiple clouds, each with their own set of tools and frameworks that need to be mastered.

    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 development teams. Some IT organizations, for example, employ multiple clouds because they are concerned about either becoming locked into a specific cloud computing service or whether an outage might take all their applications offline at the same time. Others are simply trying to take advantage of services that are better provided by one vendor than another.

    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. 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 is more a question of time and degree to which IT organizations will eventually consolidate the management of disparate IT environments under a single control plane that provides the foundation for true hybrid cloud computing, said Kukowski.

    There are, of course, a few organizations that have standardized on a single cloud computing platform. The degree to which those organizations can maintain that standard will naturally vary as, for example, new workloads that may be optimized for a specific cloud environment are built or as companies acquire other organizations that are running workloads on other cloud platforms. In many of those cases, organizations discover that the cloud services invoked expose a range of proprietary application programming interfaces (APIs) and disparate virtual machines that make migrating workloads a major challenge.

    Like it or not, most organizations will be managing multiple IT environments for the foreseeable future. The only thing that is uncertain is the volume of workloads that might be running on any one of those platforms at any given time.

  • Enable Multi-Cloud Networking With Automation

    Enable Multi-Cloud Networking With Automation

    As we enter a new era of technology, we’re experiencing a “third wave” of cloud innovation that brings new complexities into the IT landscape, mainly centered around multi-cloud networking. With every wave of cloud technology advancement, networking components are becoming more complex and distributed across multiple groups. Further, multi-cloud networking brings new challenges around connecting and managing across dispersed environments comprising private and public clouds, along with physical data centers. Organizations must unify their network operations in a way that enhances their capabilities into a new level of skill and efficiency. 

    Augment Strategies

    Looking forward to new capabilities offered by automation tools, technology leaders can augment their 2022 IT strategies. How?

    • Support a more seamless transition to cloud within hybrid IT infrastructures.
    • Cultivate new values brought to an organization from network engineers.
    • Enable executive leaders to easily align operations across multiple teams – spreading innovation across the entire organization.

    Connecting Hybrid IT Infrastructures

    As more IT leaders invest in an assortment of digital tools to streamline network operations – some engineering teams might feel more reluctant to leave behind old processes or feel intimidated by the multitude of new capabilities at their fingertips. With modern tools and processes gradually being incorporated into the workflow of IT departments, it’s critical to find the right balance in this “hybrid” environment, which will include a combination of both traditional on-premises systems with new cloud applications. Automation can help smoothen the transition to new technologies by simplifying manual processes previously relied on, while also bridging together the plethora of systems for easier management.

    Leveraging Cloud-native automation

    When bridging together disparate systems, leveraging cloud-native automation solutions that provide API capabilities can make all the difference. These solutions not only build the appropriate connectivity required between different applications but also provide the flexibility to manage networks in a cloud-friendly way. Additionally, automation can be deployed to ensure compliance of device configurations that span both on-premises network devices, as well as those connected to cloud-based infrastructures. For example, with automation it’s possible to quickly perform a configuration back-up, check for compliance and execute “intelligent remediation”. This translates to a network device or group of devices that can be backed up and the current configuration compared against the existing golden configuration standard. Changes can be automated to ensure the network is adhering to the current compliance standard. Further, automation is changing the way that IT teams approach daily operational challenges.

    Evolving Value in Network Teams

    Network engineers play a unique role in organizations by performing tasks that require years of training, and an understanding of the complex ins and outs of their internal systems. Although the performance of these manual tasks might be assumed to be the value-driver for engineers – the adoption of new technologies has pushed the boundaries of what network professionals are familiar with. In turn, this has evolved expectations for what constitutes true success and impact. Organizations are looking for engineers to harness the power of these new technologies and execute on a modern strategy – utilizing automation to support this new mindset. 

    Streamline the Adoption of Integrated Multi-cloud Environments

    Breaking down the silos between technologies and teams is critical in order to understand how to get the most out of their investments. For network teams to fully embrace multi-cloud networking, they need to practice deeper management, segmentation, security and control of cloud networks. As with segmentation – automation can help network teams lean away from using overlays, and instead use the native software tools in AWS, Azure, etc. Additionally, many network teams might be under the false misconception that automation requires them to learn to program and write code – when in many new tools, network elements can be managed and orchestrated directly from within the code of an application. This will make network programmability part of the cloud software fabric, and streamline the adoption of integrated multi-cloud environments. Network teams can implement both compliance and automation to standardize both on-prem or new cloud programs, simultaneously building their automation skills without the need to write a single line of code.

    Aligning Operational Efficiency

    When investing in new IT infrastructures across organizations, IT leaders typically build up their programs “vertically” within each department. However, this creates a gap between teams, as each is operating in separate models and functionalities – driving up unnecessary costs and inefficient business practices. To successfully align multi-cloud initiatives for increased operational efficiency in 2022, IT leaders will be required to invest more “horizontally” across their organizations – and in doing so, incorporate automation tools to reduce time and stress. 

    Implementing NaaS

    Achieving operational efficiency can reduce the time and stress experienced by IT teams – this is where the adoption of networking-as-a-service (NaaS) tools can play a beneficial role. IT leaders can invest in networking services directly from the cloud rather than building a new network. Over the next year, as cloud infrastructure expands, NaaS implementations will in tandem grow in importance – enterprises and other organizations (including service providers) will have opportunities to leverage cloud infrastructure without building new networks themselves. Automation tools can help accelerate the time-to-complete and automate the highest percentage of tasks in the activity, eliminating as much idle time as possible.

    Moving Models and Making Improvements

    When considering the investment in these types of tools, it is important to keep in mind how they impact the entire process versus individual tasks. By automating an entire process, not just individual tasks, the operator gains the flexibility to do more in much less time with fewer resources — making innovation possible. With increased flexibility and more time available, engineering and operations teams can focus their attention on strategic activities of greater value instead of performing routine, time-intensive activities. Operations are improved when IT leaders can move from a “human-centric” paradigm to an “automation-centric” model. For example, for maintenance checks, the team can let systems run an increasing number of pre-checks in seconds – enabling the process to execute more efficiently and safely. The key is adopting a model that automates the entire process versus individual tasks.

    Moving Forward

    In the next year, as more workplaces operate in hybrid models, IT leaders will need to evolve their processes to not only unify operations/approaches for remote and in-person employees – but move forward with this new wave of cloud modernization. In doing so, automation can help mitigate and manage the challenges that come with multi-cloud networking,  bolstering skill and efficiency for long-term business impact.

  • Newly Independent VMware to Focus on Multi-Cloud

    Newly Independent VMware to Focus on Multi-Cloud

    As an independent company once again, VMware will focus its efforts on providing management planes that span multiple cloud computing environments after officially spinning out of Dell Technologies.

    Ray O’Farrell, executive vice president for the cloud-native apps business unit at VMware, said the company now has a unique opportunity to work closely with providers of cloud services, builders of on-premises IT infrastructure and providers of telecommunications services.

    The terms of the spin-off included an $11.5 billion special cash dividend that resulted in a $27.40 per share dividend payment to all VMware stockholders. VMware claims the simplified financial structure that arises from the deal will provide it with additional operational and financial flexibility.

    Going forward, much of the development work will focus on providing management planes that not only span multiple clouds but also address specific cross-platform requirements such as security. It’s not likely there will ever be one single uber control plane for all of IT, noted O’Farrell. Rather, IT teams should expect VMware to deliver a series of well-integrated control planes to automate specific tasks in a way that breaks down IT silos, he said.

    VMware, however, under terms of its existing alliance, will also continue to work closely with Dell to create server environments that are optimized for VMware hypervisor platforms, O’Farrell said.

    Key to the strategy is a portfolio of observability tools that VMware plans to continue to expand, noted O’Farrell. VMware will also address the requirements of both traditional monolithic applications running on virtual machines as well as cloud-native applications running on distributions of Kubernetes, such as VMware Tanzu, that may be deployed on top of a hypervisor or on a bare-metal server, he added.

    Given the complex state of IT environments today, it’s all but inevitable something will go wrong, said O’Farrell. The challenge and the opportunity for VMware is to provide IT teams with the observability tools required to discover as many issues as possible before they adversely impact the business, he added. Once those issues are discovered, IT teams should be able to automate the remediation process using the rest of the portfolio of VMware management frameworks, he noted.

    Those management frameworks will also provide the foundation for unifying traditional approaches to IT service management (ITSM) with DevOps best practices that are now being used more widely, especially to manage cloud-native applications, said O’Farrell.

    When it comes to on-premises IT environments, VMware continues to dominate. Its hypervisor is, by far, the most widely used on servers in local data centers. VMware has spent much of the last two years expanding its reach into multiple clouds to enable IT organizations to standardize on a series of management frameworks. The goal is to reduce the total cost of IT by reducing reliance on what would otherwise be a hodgepodge of isolated management frameworks. The challenge VMware regularly encounters is the IT teams that manage cloud computing environments are not always the same ones that are managing on-premises IT environments. As such, many IT teams that have deployed cloud applications tend to embrace the management frameworks provided by their cloud services provider.

    VMware, however, is betting that as more organizations look to reduce the total cost of IT, the economic pressure to converge IT management using its frameworks will be simply too great to ignore.