BrowserStack announced the launch of BrowserStack AI, a suite of AI agents integrated throughout the testing lifecycle to help software teams accelerate release cycles, improve test coverage, and boost productivity by up to 50%.
DevOps and NetOps are both far more generous in their opinion of the other with respect to prioritization of efforts than traditional archetypes purport them to be, and they have a lot in common – even though they may disagree on details – according to a new survey by F5.
Start with DevOps and NetOps Want More Collaboration and Automation - Part 1
Greater Automation, Greater Chance of Success
A common belief within DevOps circles is that automation not only enables greater frequency of delivery and deployment, but improves its overall success rate. Whenever manual intervention is required, the chances of errors creeping in increases. Human error is a significant factor in many an outage, after all. It’s not only logical, it’s borne out by our survey. Comparing deployment success rates against the percentage of deployment pipeline current automated yields a positive correlation – at least most of the time.
■ The majority of NetOps (65 percent) report a high frequency (90 percent or greater) of successful deployments. Of them, 86 percent have automated more than 75 percent of the production pipeline.
■ Among NetOps who report a high frequency (90 percent or greater) of successful deployments, 37 percent deploy once a week. Interestingly, for those in NetOps reporting low frequency (less than 50 percent) of successful deployments, 1 in 3 deploy more than once a day and 1 in 3 deploy once a month.
Based on the data it seems that there exists a "sweet spot for success": deploying once a week and automating at least 75 percent of the pipeline.
The Need for Speed
Our survey found that in spite of growing agreement on automation, there were distinct differences of opinion. One of these differences appears with respect to core concepts required to bring about the real changes needed to succeed in a fast-paced, multi-cloud world driven by an application economy.
NetOps were, on average, twice as likely to describe current deployment frequencies as "too frequent" (8 percent) than their DevOps counterparts (4 percent). Conversely, far more DevOps were dissatisfied with the frequency of delivery, with 26 percent describing theirs as "not frequent enough."
Still, clear majorities in both groups felt their current speed was "good enough for them."
■ Of the 70 percent of DevOps who think current delivery frequency is "good enough," 31 percent deliver changes to production once a week.
■ Of the 4 percent of DevOps who tagged delivery frequency as "too frequent," 38 percent deliver once a month.
■ Of the 26 percent of DevOps who want to deliver more frequently, 28 percent deliver once a week, and 26 percent already deliver more than once per day.
Of the 74 percent of NetOps who declared the frequency of deployments "good enough," 37 percent deploy once a week. Interestingly, of the 9 percent who declared their deployment frequency "too frequent," 44 percent are also deploying once a week. The majority of the 18 percent of NetOps who want to deploy more frequently are deploying either once a week (27 percent) or once a month (28 percent).
Automation, For the Win
There is little disagreement between DevOps and NetOps on the importance and impact of automation on the application lifecycle – from development to delivery to deployment. There was a positive correlation between how NetOps rates the reliability, performance, and security of applications and automation of the pipeline. There is more confidence in the reliability and performance ratings of applications when the pipeline is at least 50–75 percent automated.
Confidence in application security ratings is stronger when 75 percent and more of the pipeline automated. Unsurprisingly, DevOps seem similarly impacted by pipeline automation. They were most confident in their ratings of application reliability and performance when more than 75 percent of the pipeline is automated.
Based on the results of our survey, the general consensus around automation is definitely two thumbs up – one from NetOps and one from DevOps.
Automation is important, no matter which side of the coin you’re looking at.
Industry News
Coder introduced a major platform upgrade designed specifically for enterprise teams working with AI coding agents.
LambdaTest has announced the release of SmartUI’s Smart Branching and Baseline Management.
Lens by Mirantis announced the availability of Lens Prism, a fully-integrated, production-grade artificial intelligence (AI) assistant embedded directly within the Lens integrated development environment (IDE).
vFunction announced GenAI-powered capabilities to refactor and rearchitect applications.
Payara announced a strategic partnership to help enterprises modernize their Java applications with a codeless, lift-and-shift migration solution, reducing infrastructure and cloud costs and boosting performance and scalability.
Backslash introduced a new, free resource for vibe coders, developers and security teams - the Backslash MCP Server Security Hub.
Google's Gemma 3n is the latest member of Google's family of open models. Google is announcing that Gemma 3n is now fully available for developers with the full feature set including supporting image, audio, video and text.
Google announced that Imagen 4, its latest text-to-image model, is now available in paid preview in Google AI Studio and the Gemini API.
Payara announced the launch of Payara Qube, a fully automated, zero-maintenance platform designed to revolutionize enterprise Java deployment.
Google released its new AI-first Colab to all users, following a successful early access period that had a very positive response from the developer community.
Salesforce announced new MuleSoft AI capabilities that enable organizations to build a foundation for secure, scalable AI agent orchestration.
Harness announced the General Availability (GA) of Harness AI Test Automation – an AI-native, end-to-end test automation solution, that's fully integrated across the entire CI/CD pipeline, built to meet the speed, scale, and resilience demanded by modern DevOps.
With AI Test Automation, Harness is transforming the software delivery landscape by eliminating the bottlenecks of manual and brittle testing and empowering teams to deliver quality software faster than ever before.
Wunderkind announced the release of Build with Wunderkind — an API-first integration suite designed to meet brands and developers where they are.
Jitterbit announced the global expansion of its partner program and new Jitterbit University partner curricula.