Generative AI (GenAI) is revolutionizing DevOps by automating manual tasks, enhancing productivity, and reducing errors. By integrating GenAI, teams can streamline workflows and democratize expert knowledge. However, managing risks such as data privacy and AI-generated errors remains critical.
Author: drweb
DevOps and site reliability engineering (SRE) are complementary strategies that enhance both speed and reliability in software development. While DevOps focuses on collaboration and automation to break down silos between development and operations, SRE emphasizes engineering reliability through metrics and accountability. By integrating both approaches, organizations can foster high-quality software delivery that meets reliability standards, streamline incident response, and utilize data-driven decision-making to maintain system performance.
Open source is experiencing an “Eternal September” due to a massive influx of contributions fueled by AI. While this increases engagement, it overwhelms maintainers. GitHub is introducing tools like interaction limits and improved triage to protect maintainer sustainability and trust.
Do you spend so long manipulating your data into something vaguely useful that you don’t have the time to focus on analysing the what the data is telling you?If that’s rings true then you’re not alone. It’s something we’ve seen many times. Someone spending the majority of their time locked away putting a monthly board pack together. Someone else spending so much time linking data from several different sources of various quality that by the time they’ve gone through all that, they’re not only exhausted, but they don’t have any time to actually focus on the whole point of the…
In today’s enterprise digital landscape, mainframe modernization is no longer a back-office technical exercise. It has become a strategic initiative tied directly to innovation velocity, operational resilience, regulatory compliance and long-term competitiveness. Organizations are not abandoning the mainframe, but they are rethinking how code, architecture and platforms evolve to meet modern business demands. Techstrong polled […]
Microsoft has released the beta of TypeScript 6.0, highlighting what the company describes as a transitional moment for the widely used programming language. The release will be the final version built on the JavaScript codebase, with TypeScript 7.0 slated to introduce a compiler and language service rewritten in Go. For more than a decade, TypeScript […]
Integrations Feb 5, 2026 Reduce Vulnerability Noise with VEX: Wiz + Docker Hardened Images Open source components power most modern applications. A new generation of hardened container images can establish a more secure foundation, but even with hardened images, vulnerability scanners often return dozens or hundreds of CVEs with little prioritization. This noise slows teams down and complicates security triage. The VEX (Vulnerability Exploitability eXchange) standard addresses the problem… Bjorn Hovd and Dan Stelzer Read now
It was neat to stumble on this in the book, a piece by me, just a few years after Redgate acquired SQL Server Central. I’ll let the words speak for themselves.I have a copy of the Book of Redgate from 2010. This was a book we produced internally about the company after 10 years in existence. At that time, I’d been there for about 3 years, and it was interesting to learn a some things about the company. This series of posts looks back at the Book of Redgate 15 years later.
The enterprise technology landscape is on the verge of a major transformation, driven by two key trends: open telecom network APIs and AI-powered coding platforms. This convergence allows businesses to create intelligent, network-aware applications rapidly, empowering them to leverage connectivity in innovative ways. As telcos position their networks as programmable platforms, and AI simplifies software development, organizations can expect a significant acceleration in application creation, leading to new business models and enhanced digital transformation.
Software teams have always lived with a built-in tension – developers push to ship fast, while security teams pump the brakes to assess risk. Now, with AI flooding the enterprise, that friction is spiking. One recent survey found a staggering 322% jump in privilege-escalation risks tied to AI-generated code. The root problem isn’t new – […]