DevOps Platforms Statistics


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Devops Platforms Statistics 2023: Facts about Devops Platforms outlines the context of what’s happening in the tech world.

LLCBuddy editorial team did hours of research, collected all important statistics on Devops Platforms, and shared those on this page. Our editorial team proofread these to make the data as accurate as possible. We believe you don’t need to check any other resources on the web for the same. You should get everything here only 🙂

Are you planning to form an LLC? Maybe for educational purposes, business research, or personal curiosity, whatever the reason is – it’s always a good idea to gather more information about tech topics like this.

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Top Devops Platforms Statistics 2023

☰ Use “CTRL+F” to quickly find statistics. There are total 30 Devops Platforms Statistics on this page 🙂

Devops Platforms “Latest” Statistics

  • 23% of respondents to our poll claimed that the DevOps platform is used by everyone in their firm, not just Dev and Ops.[1]
  • 20% of respondents to the poll claimed to devote between 11% and 20% of their time just to toolchain integration and maintenance.[1]
  • According to almost 12% of survey respondents, a DevOps platform has helped them deploy software more quickly.[1]
  • According to Global Industry Analysts, the DevOps industry had a value of $6 billion in 2020, and depending on the company, five-year growth projections vary from $17 billion to $23 billion.[1]
  • With long-lasting handoffs as a result of integrations and maintenance, teams must spend around 10% of their monthly time simply attempting to keep the toolchains operating, which Forrester refers to as the DevOps cost.[1]
  • 18% assesses a candidate’s familiarity with important tools in the organization’s automation pipeline.[2]
  • Organizations with a structured upskilling program make up 31% of businesses.[2]
  • DevOps is being used at the project or multiple project level by 42% of worldwide organizations.[2]
  • 49% of respondents identify outdated technology as a problem, while 46% think that reluctance to adapt is a big problem.[2]
  • When assessing the effectiveness of DevOps initiatives, 53% of competent DevOps teams claimed to have included measures for sales and revenue to enhance client retention and customer satisfaction.[2]
  • Microservices and containers are also used by 71% of DevOps adopters.[2]
  • 86% of businesses believe it’s critical for their business to swiftly create and start producing new software.[2]
  • Compared to just 46% of low-evolved teams, 91% of highly developed teams report clearly understanding their obligations to other teams.[2]
  • According to a Codefresh poll on DevOps, just 1% of businesses have fully automated more than half of their workloads.[2]
  • Even four years ago, 60% of businesses in the IT industry were looking to fill DevOps engineer roles, according to DevOps 2017 Statistics.[2]
  • By 2023, a startling 90% of DevOps programs will have fallen short of expectations.[2]
  • 63% of IT professionals who stated they planned to change professions this year cited higher pay as their primary motivation.[2]
  • While 69% of experts said they use virtualized containers for microservices, just 15% of those who attempted using this architecture claimed to have had considerable success.[2]
  • According to Gartner, 5% of DevOps programs through 2020 have failed to achieve their goals due to issues with learning and modifications.[2]
  • Software engineers, quality assurance analysts, and testers are expected to have employment rise by 22% between 2020 and 2030, which is substantially faster than the average for all jobs.[2]
  • Workflow automation will be handled by platform teams at low DevOps evolution levels in 53% of cases in 2020.[2]
  • 90% of those who responded and had highly developed DevOps methods said their team had automated the majority of repetitious jobs.[2]
  • Puppet discovered that outdated architecture is one of the primary obstacles to improved DevOps practices for 28% of respondents in this year’s state of DevOps survey.[2]
  • 7% of survey respondents still report having expertise in mainframes.[2]
  • Only 10% of businesses claim to be highly effective at developing and deploying software quickly.[2]
  • 78% of businesses have distinct divisions for managing operations and development.[2]
  • MABL, a test automation firm, polled five hundred software testers, and 53% indicated their team employs continuous integration, 38% support continuous delivery, and just 29% have embraced continuous deployment.[2]
  • From 2021 to 2031, it is anticipated that the employment of software engineers, quality assurance analysts, and testers will expand by 25% overall, which is substantially faster than the average for all jobs.[3]
  • Data quality professionals consume about 40% of their time on inefficient data quality practices.[4]
  • According to Gartner, continuous testing eliminates expensive mistakes, predicting that 50%-80% of data analytics initiatives fail.[5]

Also Read

How Useful is Devops Platforms

DevOps platforms are essentially sets of tools and practices that facilitate collaboration between development and IT operations teams. These platforms help teams work more efficiently by automating processes, reducing errors, and increasing the speed at which new applications can be deployed. By incorporating principles of collaboration, automation, and monitoring into the development process, DevOps platforms enable organizations to deliver software more quickly and reliably.

One of the key benefits of DevOps platforms is their ability to automate repetitive tasks, allowing developers and operations teams to focus on more strategic activities. Automation can help reduce the likelihood of errors and increase the speed at which changes are deployed. This not only saves time but also improves the overall quality of the software being developed.

In addition to automation, DevOps platforms also promote collaboration between different teams within an organization. By breaking down silos and fostering communication, development and operations teams can work together more effectively to solve problems and deliver software more efficiently. This collaborative approach can lead to quicker decision-making, improved problem-solving, and ultimately better overall business outcomes.

Furthermore, DevOps platforms enable organizations to adopt a continuous integration and continuous deployment (CI/CD) approach to software development. This means that code changes are automatically tested, integrated, and deployed on a regular basis, rather than waiting for a sporadic release cycle. By implementing a CI/CD pipeline, organizations can significantly reduce the time it takes to bring new features to market, giving them a competitive edge in today’s fast-paced business environment.

Lastly, DevOps platforms promote a culture of monitoring and feedback, allowing teams to track key metrics and analyze the performance of their applications in real-time. By monitoring key performance indicators (KPIs) such as response times, system uptime, and error rates, organizations can quickly identify and address any issues that arise. This proactive approach to monitoring can help organizations prevent costly downtime and improve the overall user experience.

In conclusion, DevOps platforms have become an essential tool for organizations looking to modernize their development processes and stay competitive in today’s digital age. By utilizing automation, fostering collaboration, embracing CI/CD practices, and promoting a culture of monitoring and feedback, organizations can unlock new levels of productivity and innovation. As technology continues to evolve, it is clear that DevOps platforms will play an increasingly important role in helping businesses adapt to the demands of the digital landscape.

Reference


  1. gitlab – https://about.gitlab.com/blog/2021/09/08/making-the-case-for-a-devops-platform-what-data-and-customers-say/
  2. webinarcare – https://webinarcare.com/best-devops-platforms/devops-platforms-statistics/
  3. bls – https://www.bls.gov/ooh/computer-and-information-technology/software-developers.htm
  4. montecarlodata – https://www.montecarlodata.com/blog-what-is-data-observability/
  5. skillsoft – https://www.skillsoft.com/blog/what-is-dataops

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