DevOps

• [New] Another developer technology that will become more available in 2021 is observability systems, which provide DevOps teams with greater insight into application performance, efficiencies, governance and security.
• [New] The research firm claimed that 2024 will see over half of organisations - at 55% - use platform-as-a-service as a primary application development platform for custom applications, as well as reinforcing DevOps maturity through application portfolios.
• This year, AI/ML, Automation and FaaS (Function as a Service) will coordinate changes to DevOps.
• 40% of organizations will implement chaos engineering as part of DevOps by 2023, which will reduce unexpected downtime by up to 20%.
• In 2021, DevOps teams will continue to have far more say in the data strategy process, and as a result we will see a greater increase in the mobility of workloads, correlating with an increase in cloud data management techniques.
• Agile software development is the true differentiator in the age of digital transformation, and the market for DevOps software tools is expected to rocket to $15 billion by 2023 as businesses realise they need software development and automation to maintain a competitive advantage.
• In 2021, ModelOps will reach a tipping point as a way for mainstream companies to better develop and operationalize their AI models, much like the way DevOps has given structure to the way applications are deployed.
• In 2021, DevOps will get and use more advanced automation tools to evaluate error-prone human tasks and better accelerate development and deployment within the DevOps timeline.
• 2021 will be filled with even more innovation as companies continue in the digital transformation and work to adopt DevOps.
• DevOps teams will continue to integrate AI/ML tools into their pipeline with the market growth for their smart customized product surpassing $61 B by 2023.
• By 2023, 40% of product and platform teams will use AIOps for automated change risk analysis in DevOps pipelines, reducing unplanned downtime by 20%.
• Today, DevOps is at its peak of popularity and as per the prediction by IDC, the worldwide DevOps software market will reach $8 billion by 2022, up from $3.9 billion in 2017.
• Over the coming two to three years, GNNs will become a standard feature of most enterprise AI frameworks and DevOps pipelines.
• 2021 will be the year in which DevOps teams will increase the speed and quality of their releases.
• MDR can enable DevOps teams to get ahead of the latest threats by keeping developers informed about evolving threats and vulnerabilities, as well as incorporating tools for continuous cybersecurity into the development and deployment pipelines.
• There was a 17% boost in DevOps adoption in 2018, and the DevOps market will grow to $6.6 billion by 2022.
• DevOps will continue to mature, and 2019 will be a big year in terms of getting more organizations on board, more consolidation, more experience, and more data and insight to build best practices.
• The combination of AI that can predict algorithms' outcomes, and ML that can adapt to new situations, are of key focus for DevOps teams in 2019.
• Much like the way DevOps has given structure to the way applications are deployed, ModelOps will reach a tipping point in 2021 as a way for mainstream businesses to better develop and operationalize their AI models.
• The DevOps market is generating billions every year, and the trends of 2020 are expected to play a major role in its further growth.
• The global DevOps market is growing rapidly and is expected to grow exponentially in the upcoming three years making a difference of $6 billion.

Last updated: 11 April 2021