New research reveals DevOps hurdles
DevOps adoption is on the rise, but enterprises must establish governance and knock down silos
By Erin Poole | 2 minute read | August 15, 2019
In the race to get to market, digital enterprises are using DevOps and cloud platforms to optimize software development pipelines. But while DevOps adoption is gaining ground, just 26% of respondents are using the practice across their organizations, and 45% are using it in some areas, according to a recent survey of 199 DevOps users by IBM Market Development and Insights.
Within continuous integration and delivery (CI/CD) environments, teams are under pressure to develop quality products at a rapid pace. Yet teams often manage toolchains separately, juggling data from multiple clouds and tools, which leads to inefficiency.
Let’s unpack some of the insights from the survey and how enterprises can move from siloed to collaborative practices.
Establish pipeline governance
Only a quarter of participants surveyed use console technology, and just over half have integrated development pipelines. How does this impact practitioners? A development manager needs a console to effectively check the health of applications to address bottlenecks and meet delivery deadlines. And an integrated development pipeline enables a developer to perform coding activities, view test performance and assess clusters and nodes.
In terms of efficiency, the research shows that those using DevOps systems with integrated toolchains such as Splunk or Jenkins have 44% more visibility into enterprise-wide pipelines.
Connect the silos
DevOps requires an enterprise-wide shift in mind-set. Of those surveyed, 35% of practitioners cited silos and 21% cited a lack of cooperation across teams as the top two barriers to adoption.
Implementing toolchain management is a good strategy for improving team dynamics and removing blockers. More awareness of projects across the enterprise helps teams manage complexity and frequent software releases.
Integrate AI and automation
Another report insight: Just one third of toolchains in companies surveyed are automated. Using AI and automation is a smart strategy. IT operations that involve big data are too complex for staff to manage without heavy duty processing power. DevOps teams in particular need to quickly assess the most relevant data from potentially thousands of log entries.
As DevOps adoption becomes more widespread, many enterprises are asking “What’s next?” With a multicloud management strategy, there’s an opportunity to increase collaboration and pipeline agility regardless of cloud platform.