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DevOps Top Trends and Emerging Technologies to Watch

DevOps trends 2023 We quickly review my projections for 2021 and 2022 before moving on to the difficulties businesses are already facing. Due to silo organizations, there is almost no coordination between the various organizational divisions, and businesses continue to plan annual projects rather than products. Hence, businesses must adopt some DevOps methods or trends. DevOps is a mindset, culture with technical practices that align all people across the value stream to continuously deliver value to the customer. The top DevOps trends for 2023 include building products, running the product, ensuring product quality, monitoring the product, organizing across the value stream, enabling DevOps in product teams, and industrializing the whole product development.

What Are the Top DevOps Trends in 2022?

A year ago I called DevSecOps, continuous delivery, cloud and AIOps as the trends for 2021. Most of those landed. For 2022 the picture gets more interesting because DevOps is no longer a single wave — different parts of the market are at very different stages of adoption. To make sense of that, I map the 2022 trends onto the technology adoption lifecycle: late majority, early majority and early adopters.

What is Monitor? | SAFe DevOps Health Radar

Once our features are deployed and verified in production, we need to keep a close eye on how they perform. Monitor is the SAFe DevOps Health Radar activity that focuses on tracking system performance, end-user behavior, incidents, and business value. In this video, I walk through what monitoring involves and why it is essential for making the right decisions about your features.

What Are the Top DevOps Trends in 2021?

What will move the needle in DevOps in 2021? After a year that forced almost every organisation to accelerate digital delivery, the trends I see for 2021 are less about shiny new tools and more about discipline: making DevOps stick at scale, shifting security left, getting serious about continuous delivery, leaning further into the cloud, and watching the early signals from AIOps.