#devops

#devops

For years,mainframes were synonymous with stability, but rarely with innovation. That image seems to be changing rapidly. New figures from BMC's annual mainframe survey show that confidence in the future of the platform has never been higher. No less than 97 percent of the professionals surveyed indicate that mainframes will remain part of their IT infrastructure. Increasingly, the system is even seen as a driver for new workloads.

System Initiative recently released its AI Native Infrastructure Automation platform, aiming to offer DevOps teams a new way to manage infrastructure through natural language. With this release, users can type simple prompts, such as "make load balancer health checks more aggressive", and the system's AI agent will discover relevant infrastructure, simulate proposed changes, and execute updates upon approval. System Initiative claims all of this will occur while maintaining full automation and safety within live environments.

Vibe coding is AI-powered, collaborative code creation, where the "vibe" - the team's culture, coding style and collaborative preferences - is harnessed as an operational parameter. Imagine pairing human strengths with advanced generative AI, capturing not just code syntax and logic, but the subtle preferences, patterns and conventions that make YOUR team effective. This isn't about getting AI to write a few snippets. It's about the AI learning your team's DNA.

Fresh off raising $7.2 million in funding, SRE.ai CEO Raj Kadiyala said as the volume of code developed using low-code/no-code and, more recently, artificial intelligence (AI) tools increases, there needs to be a more automated approach to deploying that software based on best DevOps processes that also enables software development teams to monitor and observe those applications. At the core of that effort is a platform that will leverage artificial intelligence (AI) technologies to automate the deployment

The Org Intelligence module added to the Copado AI Platform leverages metadata exposed on the Salesforce platform to extrapolate relationships, promising an 80% reduction in discovery time.

A stack-based approach to IDPs emphasizes reusability, autonomy, and visibility, creating a standardized but flexible system where teams can define and deploy their own devops stack.

According to Lansweeper scans from over 18.5 million devices, Linux usage on business endpoints has climbed from 1.6% in January 2025 to 1.9% in June, and reached 2.5% on newly added assets.

Blazor's rise aligns with transformative shifts in the DevOps landscape, particularly with AI and ML integration, which enhances DevOps processes and app performance.

The hardest part? Most of these micro-inefficiencies don't appear in retrospectives. They're normalized as 'just how things work here.'

Sustainable optimization starts when leaders reframe the conversation: From seeing costs as an external burden imposed by finance to recognizing them as an integral signal of engineering health.

"While the tech landscape has changed, the way we think about building automation has not," says Adam Jacob, CEO and co-founder at System Initiative. "It's had an incredible run, but we've taken that idea as far as it can go."

DevOps teams in bursty verticals like media, fintech, gaming, and retail face severe challenges during sudden traffic spikes, leading to overwhelmed logging pipelines and delayed recovery processes.

Finops facilitates quicker, data-driven decisions on cloud investments, which increases business agility in addition to cost savings. It guarantees that teams match spending with priorities by fostering an environment of accountability and cooperation across engineering, finance, and operations.

In the fast-paced digital landscape, serverless CI/CD enhances efficiency and speeds up deployment, enabling businesses to respond to market needs faster and effectively.

Agile frameworks like Scrum or SAFe help teams rapidly validate ideas with end users. Meanwhile, DevOps practices ensure that validated ideas move safely and quickly through build, test and deployment pipelines.