Category: Features

  • Five Great DevOps Job Opportunities

    Five Great DevOps Job Opportunities

    DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience.

    Our goal in these challenging economic times is to make it easier for DevOps professionals to advance their careers.

    Of course, the pool of available DevOps talent is still relatively constrained, so when one DevOps professional takes on a new role it tends to create an opportunity for others.

    The five job postings shared this week are selected based on the company looking to hire, the vertical industry segment and, naturally, the pay scale being offered.

    We’re also committed to providing additional insights into the state of the DevOps job market. In the meantime, for your consideration:

    LinkedIn

    Major League Baseball
    New York, New York
    Senior DevOps Engineer
    $150,000 to $190,000

    SimplyHired.com

    JP Morgan Chase
    Senior DevOps Engineer
    New York, New York
    $137,750 to $225,000

    Indeed.com

    MORI Associates
    Pasadena, California
    Senior DevOps Engineer
    $118,000 to $150,000

    Monster.com

    United Nations Federal Credit Union
    Queens, New York
    DevOps Engineer
    $88,170 to $140,000

    ZipRecruiter

    Blue Rock Software
    Carlsbad, California
    DevOps Engineer – AWS
    $80,000 to $100,000

    Image Source: Photo by Mike Bowman on Unsplash 

  • 6 Ways To Empower Developers and Increase Productivity

    6 Ways To Empower Developers and Increase Productivity

    A big goal of DevOps is to increase productivity. Yet many organizations still struggle with the efficiency of their software release processes. In fact, 54% of engineers stated they have too many manual steps within their deployment process, according to an Armory survey. And with the pervasiveness of multi-cloud, developers now face an escalating number of deployment environments, each carrying their own nuances.

    Development teams want to move as quickly as possible without barriers. Yet, there are often hurdles to seamless deployments. For example, the code might be 100% ready to deploy, yet someone still must validate it before it reaches production. Manual bottlenecks like this in the CI/CD process can make developers feel like their code isn’t worthy of deploying and may even amplify feelings of burnout.

    I recently met with Anna Daugherty, senior product marketing manager at Armory, to see what technology leaders can do to remove barriers within their software release cycles and increase productivity. According to Daugherty, many of these strategies boil down to having empathy for developers and their needs. “Developers aren’t machines; they’re people, and people deserve to have a quality of life when they’re doing their jobs.” Below, we’ll highlight tips and tricks to keep in mind to improve release fluidity.

    1. Identify Where Your Manual Checks Are

    The first step to speeding up CI/CD is identifying where manual steps exist within the development workflow. The DevOps life cycle, often visually depicted as an infinity loop, includes many states, such as design, build, test, deploy, assess and monitor. But if each step has one or more manual steps, you accrue a lot of manual debt, said Daugherty.

    Therefore, engineering leads should seek to remove manual checks whenever possible. Of course, this may not be realistic within certain situations, such as financial institutions that require manual approvals at the last mile. However, everything should be smoothed out and automated up to that point, said Daughtery.

    2. Shift From Continuous Delivery to Deployment

    Depending on who you ask, the ‘CD’ in ‘CI/CD’ may stand for continuous delivery or continuous deployment. As part of reducing friction in the software release process, Daughtery encourages teams to begin to embrace the latter whenever possible. If deployment remains inhibited by unnecessary manual steps, it can decrease scalability and interoperability.

    3. Increase Confidence With Testing

    Of course, if we introduce more automation into the CI/CD pipeline, we must ensure the software is rigorously tested for errors and vulnerabilities. Daugherty encourages development to embrace automated, continuous testing approaches at every juncture, whether pre-production, inter-production, or throughout the application lifecycle. There are also advanced deployment strategies to consider, such as canary testing, which rolls out new changes only to a small subset of users or blue-green deployment can deploy to different places at different times.

    These deployment strategies can help build confidence while reducing the risk of disrupting a majority of your user base with untested production updates. “The more you can integrate testing into your process, the more confident your process will become,” said Daughtery.

    4. Chose The Right Toolsets

    So, how do we implement more automation into the DevOps cycle? And what sort of tools should we look for? According to Daugherty, when scouting for DevOps tools, technology leaders should prioritize open solutions that aren’t closed-off environments. Instead, they should offer flexibility and the ability to integrate with the tools you already use every day. “You can have all the tools in the world, but if they don’t fit together, that can drag down the process.”

    5. Consider Open Source Software (OSS)

    On that note, consider open source software (OSS) where possible. OSS like Argo or Spinnaker has the potential to empower developers and bridge gaps in the CI/CD process. Other projects from the Cloud-Native Cloud Native Computing Foundation (CNCF) and Continuous Delivery Foundation (CDF) are mature with proven stable adoptions.

    And although there is some weariness around OSS, particularly around unknown vulnerabilities and project maintenance concerns, “you can still be successful, secure, and scalable with open source,” said Daugherty. Open source also delivers community benefits and helps engineers feel like they are part of a bigger picture. “[OSS] is the opposite of burnout. It brings people together. It’s a community builder.”

    6. Become Developer-First

    Transitioning into a developer-first organization is another way to increase developer satisfaction and efficiency. But to become a developer-first organization, developers will need more say in the processes—this will involve balancing top-down requirements with total developer control. For example, leaders should suggest tools to enhance productivity but accept feedback on an ongoing basis to see what works best.

    To support these efforts, the concept of developer experience (DX) has entered the lexicon in recent years. Building with developer empathy can result in more usable, frictionless software that increases productivity. DX is crucial within the burgeoning area of platform engineering, as the goal is to create reusable, internal self-service platforms for developers to leverage.

    Interestingly, Netflix extolls what it calls full-cycle development, in which a developer oversees the building and operational aspects of a single component throughout its entire life cycle. “It’s an interesting way of addressing burnout because you feel more connected to what you create,” said Daugherty.

    Final Thoughts: DevOps Isn’t Dead

    Above, we’ve highlighted some potential strategies to increase developer productivity. By replacing manual bottlenecks with more automation, you can increase deployment fluidity. Considering how tools are acquired and iterating upon feedback from engineers can also help improve consistency while retaining quality talent.

    Looking to the future, Daughtery hopes that similar roles such as DevOps, site reliability engineering and platform engineering can come together and join forces. Because, at the end of the day, they share many goals. And contrary to some grabby headlines, DevOps is far from becoming obsolete. DevOps is not dead. It’s very much alive and increasingly important.

  • 8-Bit Floating Point for AI/ML? | Amazon and Microsoft Shed Tech Jobs

    8-Bit Floating Point for AI/ML? | Amazon and Microsoft Shed Tech Jobs

    Welcome to The Long View—where we peruse the news of the week and strip it to the essentials. Let’s work out what really matters.

    This week: New ideas bring low-power ML inference, and more big-tech jobs are going. (more…)

  • Top Three DevOps Tools for Cloud Infrastructure

    Top Three DevOps Tools for Cloud Infrastructure

    A survey from Canonical of 326 IT executives found the most widely employed DevOps tool for managing cloud infrastructure is the Bash shell and command language (53%), followed by the Ansible automation platform (47%) and Terraform (40%). Another 27% reported they used tools they developed themselves.

    The survey also found 58% managed their cloud infrastructure entirely on their own rather than relying in part or entirely on some type of managed service.

    Not surprisingly, the survey also found that 83% have seen spending on cloud infrastructure expenses increase over the last two years, but 23% have no visibility into how much they are actually spending. Well over half (57%) do feel they are paying “a lot” for cloud infrastructure.

    Tytus Kurek, a product manager at Canonical, said during uncertain economic times, there’s now more focus on the total cost of IT. Cloud costs have become a much larger percentage of the IT budget, so more scrutiny is being brought to bear, he added. As such, there’s more interest in FinOps as a framework for programmatically managing cloud costs more effectively, noted Kurek.

    However, only 58% said they believed their public cloud costs were predictable. Well over half (53%), however, noted they qualified for discounts on cloud services offered by providers. In comparison, 73% said their private cloud costs were predictable.

    The most widely deployed software on cloud infrastructure are web applications (57%), followed by file storage (52%) and databases (51%). The most widely employed cloud service providers were Amazon Web Services (AWS) at 60%, Microsoft Azure (49%) and Google Cloud Platform (GCP) (33%). In terms of private cloud platforms, the most dominant is VMware (40%), followed by OpenStack (28%) and Azure Stack (15%). Only 25% of respondents managed less than 1TB of data.

    In general, cloud computing environments are evolving as more cloud-native applications are built and deployed. The bulk of applications running in the cloud today are monolithic. As such, they typically consume a set of IT infrastructure resources dedicated to running that application. Cloud-native applications take advantage of Kubernetes to scale consumption of IT infrastructure more efficiently; over time, the cost of running a cloud-native application should be less than a monolithic application. It’s still early days as far as deployment of cloud-native applications is concerned, so the bulk of applications running in the cloud will continue to be monolithic for many years to come, noted Kurek.

    In the meantime, there is a clear need for more automation. Many cloud infrastructure resources are currently provisioned by developers. There is an opportunity for DevOps teams to automate that process so that it is more efficient and more secure. Developers tend to make mistakes when provisioning cloud resources that, for example, result in data being exfiltrated by cybercriminals via a port inadvertently left open.

    One way or another, the management of cloud computing is becoming more structured in an era where IT organizations are rediscovering the importance of capacity planning. The challenge is that many organizations have never known anything other than the cloud, and they may not even know how to achieve that goal. On the plus side, however, it may not be too long before the whole process is automated by an artificial intelligence (AI) model that optimizes the allocation of resources without any human intervention required.

  • State of DevOps Report Finds a Rise in Platform Engineering

    State of DevOps Report Finds a Rise in Platform Engineering

    The speed of software development velocity is increasing, and to enable this, platform engineering is emerging to evolve the DevOps practice. Interest in platform engineering is rising—so much so that Puppet emphasized platform engineering in its 2023 State of DevOps Report.

    A whopping 94% of respondents agreed that platform engineering is helping their organizations better realize the benefits of DevOps. The move toward platform engineering has increased over time, bringing benefits such as increased release velocity, reliability and efficiency.

    Below, we’ll highlight some of the key takeaways from the report. We’ll define what platform engineering is and highlight its benefits. We’ll also consider obstacles on the path to embracing a platform-based development culture.

    Platform Engineering Supplants DevOps

    DevOps has been in use for a decade or more at most institutions, maturing steadily with new automation and infrastructure abstraction. The latest evolution of DevOps is a practice known as platform engineering—51% of organizations have already adopted this practice within the last three years and 93% said it’s a step in the right direction.

    Platform engineering is the discipline of designing and building self-service capabilities to minimize cognitive load for developers and to enable fast-flow software delivery.

    In essence, platform engineering is the process of creating standardized, self-service infrastructure that helps developers get up and running quickly. These self-service platforms typically handle capabilities like deployment (43%), operation of infrastructure (43%), monitoring production applications (42%) and security and compliance (42%).

    These shared internal platforms are maintained by a central platform team that embraces a product mindset to iterate the technology based on user feedback.

    State of Platform Engineering

    Platform engineering is relatively new— 27% of platform teams have formed within the last two to three years. Notably, big tech companies hopped on the bandwagon years ago, and non-tech companies are now following. Regardless, 70% believed their timing was “just right.”

    The goals of a platform engineering team are numerous. According to the Puppet report, 54% said problem-solving is the top goal. This is followed by educating and empowering developer teams (47%), setting best practices (46%) and optimizing iteration (44%). A platform engineering team’s scope of work is primarily focused on automating workflows and building and managing infrastructure.

    The ‘correct’ number of internal platforms is a moving target. The majority of organizations (57%) have between two and four platforms, and 30% have five or more internal self-service platforms. This demonstrates that although platform engineering is somewhat centralized, it’s also flexible to the needs of an organization.

    Benefits and Hurdles

    So, what are some benefits as opposed to traditional DevOps? Well, the most common benefit is improved system reliability, at 60%. This tracks, as a standardized platform could reduce human error and missteps in the development workflow. Following this benefit is improving efficiency (59%), speeding up delivery time (58%) and improving workflow and process standards (57%).

    The most common driver of adoption is increasing the speed of delivery. Slight more than half of respondents (51%) said development speed has somewhat increased since the inception of the platform team, and 42% say it’s increased by “a great deal.” Other top drivers include the need to scale, free up engineering time, control infrastructure spending and avoid duplication across teams. Those with more mature adoption tend to be more satisfied with the result, indicating that results increased over time.

    Of course, no new technological introduction comes without its hurdles, and platform engineering is not immune from certain pain points. For example, 34% said that cycle time is slower than expected. This might be due to nascent industry adoption and a lack of best practices.

    Just under one-third (32%) also noticed resistance to platform team adoption, and 32% reported a lack of communication around changes. Organizations will likely have to increase transparency and reduce siloing to encourage productive platform adoption that satisfies the needs of various stakeholders.

    According to the report, product management skills can help realize these goals. Some of the most fundamental product management skills here include strong communication skills (61%), problem-solving expertise (60%) and the ability to foster collaboration (54%). Many companies will also have to convince senior management to invest in platform engineering—nearly half agreed that senior management doesn’t yet understand its value.

    Future Outlook

    Confidence around platform engineering is increasing, especially for teams with mature DevOps approaches. As a result, the practice will likely gain more traction in the coming year—71% of respondents reported their firm plans to hire people with platform engineering experience over the next 12 months.

    Over the next year, organizations that adopt the practice will want to increase awareness of platform capabilities and set expectations across the organization. This will also include setting governance policies and satisfying the needs of specific developers, departments and the organization as a whole.

    Above, we’ve scratched the surface of the current state of platform engineering, its benefits and its pain points. For plenty of other insights, you can pick up a copy of The State of DevOps Report 2023: Platform Engineering Edition from Puppet by Perforce here.

  • Okta Makes No-Code Integration Tool for Identity Platform Available

    Okta Makes No-Code Integration Tool for Identity Platform Available

    Okta today made generally available an Actions Integration capability that makes it possible to integrate third-party tools without having to write any code.

    Shiven Ramji, chief product officer for Okta, said this no-code integration capability for the Okta Customer Identity Cloud extends a simpler approach for managing secrets that is invoked via an application programming interface (API).

    At a time when more responsibility for application security is being shifted left toward developers, the Okta Customer Identity Cloud is gaining traction as an alternative for managing secrets more securely, noted Ramji. Rather than developers attempting to manually verify the identity of end users, it becomes easier to manage identity flows within the context of a larger application development workflow using a cloud service, he added.

    In addition to giving developers access to Actions Integration, Okta is also making third-party integrations developed by partners available via the Auth0 Marketplace. The goal is to encourage providers of application development tools to build integrations that development teams can simply download when needed, said Ramji.

    It’s not clear how much influence developers are exerting over how identity is managed as more organizations embrace DevSecOps best practices for building and deploying applications. Regardless of approach, the overall state of application security should continue to improve as developers embrace new methods of managing identity within their applications. One of the issues that frequently creates a security breach is when developers forget to remove secrets created during the application development process before an application is deployed in a production environment. Cybercriminals today routinely scan for secrets that have been inadvertently stored as text within an application.

    Lees clear is the degree to which developers may opt to update existing applications to take advantage of identity management services that can be invoked via an API or whether they will opt to switch to a cloud service for only new applications.

    One way or another, organizations of all sizes will need to find a way to make it easier for developers to manage identities across multiple applications. There is often a tendency to ascribe responsibility for managing identities to development teams without always providing access to a set of tools to manage the process. In about half of the instances in which organizations adopt Okta Customer Identity Cloud, the decision is made by developers, said Ramji. Many of those developers discover the Okta service when they are building a proof-of-concept for their application, he added.

    The other half of the time the decision is made by more senior leaders on behalf of an entire development team, said Ramji. In some of those cases, organizations are even going to far as to create a team of specialists for managing identities across a portfolio of applications, he noted.

    The core issue, as always, is determining how much time and effort developers will want to spend on identity management versus writing business logic code. All things considered, most developers are going to find it a lot more convenient to invoke an API to access a cloud service versus setting up and maintaining a vault full of application secrets on their own.

  • The API Economy: Increasing Potential to Monetize Public APIs

    The API Economy: Increasing Potential to Monetize Public APIs

    API-first strategies are becoming more commonplace throughout today’s digital strata. APIs connect microservices architectures, power new digital transformations and help development teams avoid reinventing the wheel for common functions. And although most are built to connect internal components, studies indicate a movement toward more externalization and monetization of public APIs.

    Over three-fourths of developers now view participating in the API economy as a priority for their organization or plan to prioritize it soon, found Rapid’s newly released 2022 State of APIs report. The survey, which surveyed hundreds of professional developers, also uncovered a modest increase in companies seeking to generate direct revenue from APIs.

    Below, we’ll review some intriguing statistics from the Rapid report and consider the major takeaways technology professionals should consider in the year ahead.

    API Reliance Increases

    Reliance on APIs is rising across the board. Over 62.6% of developers reported relying on them more in 2022 than in 2021. Internal APIs help avoid development duplication and third-party APIs can quickly integrate standard functionality related to payments, messaging, geolocation, data sharing and many more areas. For example, ChatGPT has demonstrated the power of standard APIs to deliver advanced AI/ML to the masses in a programmatic way.

    As a result of this interest, the majority of organizations now consider participating in the API economy as a top priority. And as an organization grows larger, its reliance on APIs is likely to increase. A full 40% of the largest companies surveyed reported having more than 250 internal APIs. Nowhere is this more prevalent than in financial services. This finding makes sense, given how APIs can automate payments and underpin the open banking movement.

    In terms of who is using APIs, it’s most commonly full-stack or backend developers, the report found. One intriguing factoid is just how much of this work is now dominating developers’ time. Impressively, 65.5% of developers reported spending ten hours or more working with APIs in their job; 14.5% of them said that work takes up all of their time.

    In terms of design styles, various standards are used throughout the web development sphere. Yet REST is still king—69.3% of engineers used REST in production. REST is followed by webhooks, WebSockets, AsyncAPI, serverless and FaaS, SOAP, GraphQL, Kafka and gRPC, in descending order of popularity. Across the board, these statistics showed a steady increase from last year.

    Of note is that most APIs are built for internal purposes. These often wrap a database or provide open access to an internal microservice. Private use cases are by far the most common approach; according to the report, 75.1% of respondents worked on internal APIs. These findings aligned with other industry reports, such as the Postman State of the API Report, which found that, in 2022, 58% of API initiatives were private.

    Third-party APIs (53.9%) and partner-facing services (48.9%) trailed behind internal APIs in popularity. Interestingly, while internal use cases have remained steady, both partner and public-facing strategies have increased since last year. While the growth was a modest 5% for most sectors, partner-facing APIs in some industries grew by nearly 10%.

    Spotlight on Monetization

    Many still view APIs as operational glue for internal data or connecting partner services. Yet, the possibility of monetization through self-service developer portals shouldn’t be overlooked—countless API-first startups are actively gaining traction and funding. And monetizing this power is seen as a holy grail to some unicorn-chasing VC funds.

    Most APIs are purely for in-house internal integrations and are typically not externalized to the outside world for profit. However, this is slowly changing. In fact, 42.6% of organizations are now monetizing APIs, representing an increase of about 5% from 2021.

    As one may have guessed, financial services are leaders in monetizing their external APIs. The telecommunications industry is also noticeably active in monetization, too. Furthermore, with size comes increased monetization potential—about half of the companies with a large footprint of ten or more internal or external APIs also monetized them.

    API Economy in 2023

    Looking to the future, most anticipate more reliance on APIs across sectors — 69.2% expect to rely on APIs even more in 2023. Yet, organizations will have to grapple with particular hurdles in this newfound landscape. For example, a cloud skills gap might bar some groups from realizing the benefits of an API strategy. Other concerns include ungoverned sprawl, authorization concerns, shadow APIs and escalating attacks on public-facing endpoints. Also, some organizations are still determining how to best secure and scale their use of new styles, like GraphQL.

    A standards-based approach that applies platform-wide governance will likely be necessary to maintain an efficient yet stable API footprint. To meet these high quality standards, testing is nearly universally applied—92.7% of those surveyed test their APIs or plan to do so. The most common tests ranged from functional testing to integration testing, acceptance testing and performance testing.

    The Rapid 2022 State of APIs report received 850 responses from over 100 countries. For more insights, readers can view the complete results here.

  • Five Great DevOps Job Opportunities

    Five Great DevOps Job Opportunities

    DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted to better serve our audience.

    Our goal in these challenging economic times is to make it easier for DevOps professionals to advance their careers. Of course, the pool of available DevOps talent is still relatively constrained, so when one DevOps professional takes on a new role, it creates an opportunity for others.

    The five job postings shared this week are selected based on the company looking to hire, the vertical industry segment and, naturally, the pay scale offered.

    We’re also committed to providing additional insights into the state of the DevOps job market. In the meantime, for your consideration:

    Indeed.com

    Virtuoso
    Fort Worth, Texas
    Senior Cloud Infrastructure Engineer
    $140,000 to $160,000

    Monster.com

    Ness USA
    Stony Brook, New York
    Lead DevOps Engineer (AWS)
    $130,000

    LinkedIn

    Deloitte
    Phoenix, Arizona
    DevOps Specialist Senior
    $125,000 to $209,000

    SimplyHired

    Hewlett-Packard Enterprise
    Remote
    DevOps Engineer
    $110,000 to $150,000

    ZipRecruiter

    USAA
    Multiple Locations
    Public Cloud Infrastructure Engineer – Midlevel
    $89,200 to $160,600

  • FAA Ground Stop due to Technical Debt? | Don’t Do DIY Crypto!

    FAA Ground Stop due to Technical Debt? | Don’t Do DIY Crypto!

    Welcome to The Long View—where we peruse the news of the week and strip it to the essentials. Let’s work out what really matters.

    This week: The FAA’s NOTAM database gets corrupted, and Threema shows why DIY cryptography is bad. (more…)

  • Meet the DevOps Dozen² 2022 Honorees

    Meet the DevOps Dozen² 2022 Honorees

    We are proud to announce the DevOps Dozen² 2022 honorees. For the past eight years, the DevOps Dozen Awards have celebrated the most outstanding individuals and companies in the DevOps community and their remarkable contributions to the industry. These honorees have demonstrated their leadership and commitment to our community during the past year.

    Congratulations to all those nominated and to the honorees. All of your hard work and dedication are greatly appreciated.

    Without further ado, here are the DevOps Dozen² 2022 honorees:

    DevOps Dozen Community Awards

    1. Best DevOps Industry Implementation

    OJA DevOps Transformation and Implementation

    2. Best DevOps Survey/Analysis/Research

    GitLab 2022 Global DevSecOps Survey

    3. Best DevOps-Related Video Series (video)

    DevOps Toolkit

    4. Best DevOps-Related Audio Podcast Series

    Grafana’s Big Tent

    5. Best DevOps Book/eBook of the Year

    Purple Book

    6. Top DevOps Evangelist

    Dan Garfield

    7. Best DevOps Transformation (non-vendor)

    Natura Cloud & DevOps Center of Excellence

    8. Best DevOps Event of the Year

    2022 DevOps Enterprise Summit

    9. Most Innovative DevOps Open Source Project

    Backstage

    10. DevOps Executive of the Year (non-vendor)

    Idit Levine

    11. Best DevOps Presentation of the Year

    “Journey from 100’s of Pipelines to a Single Pipeline Ecosystem” by Ali Ravji and Prashant Parekh

    12. Best DevOps.com Article of the Year

    What A Dev Wants

    DevOps Dozen Tools and Services Awards

    1. Best End-to-End DevOps Tool/Service

    Harness Software Delivery Platform

    2. Best DevOps Repo/GitOps Tool/Service

    Red Hat OpenShift GitOps

    3. Best CI/CD Tool

    CloudBees CI

    4. Best Value Stream Management Tool

    ConnectALL

    5. Best Observability Solution

    Nobl9 Platform

    6. Best DevSecOps Solution

    JFrog Advanced Security

    Veracode Continuous Software Security Platform

    7. Best Testing Service/Tool

    Digital.ai Continuous Testing

    8. Best Kubernetes Platform/Service

    Red Hat OpenShift

    9. Best Cloud-Native Security Solution/Service

    Aqua Platform

    10. Best DevOps for Mainframe Solution

    Open Mainframe Project Zowe

    11. Best DevOps for DataOps/Database Solution

    Liquibase

    12. Best New DevOps Tool/Service Provider

    BMC Compuware zAdviser DORA Metrics dashboard

    The honorees will receive both digital badges and physical trophies celebrating their achievements.

    Winners were chosen from among the finalists with general public voting counting for 40% of the final total and our judges’ selections for 60% of the weighted total. The panel of judges went through thousands of votes to choose the winners in each category—it was not an easy task. Many thanks to our judges for making the hard calls and to everyone who has supported the DevOps Dozen² Awards by nominating candidates and voting.

    For more information, please visit the DevOps Dozen² Awards website and stay tuned for the DevOps Dozen² 2023 Awards.