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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

How Engineering and Ops Teams Use OKRs to Connect Technical Work to Business Outcomes

Engineering and operations teams have a measurement problem that most other functions don't. The technical metrics are excellent. Deployment frequency is up. MTTR is down. Uptime is at 99.97%. The CI/CD pipeline is running cleanly and the on-call burden has been reduced by 30% since the team adopted a proper incident management process. By every internal measure, the team is performing well. And yet, in the quarterly business review, the conversation keeps returning to the same uncomfortable question: what did engineering actually deliver for the business this quarter?

Automated Release Management: From CABs to Continuous Delivery | Harness Blog

The thing with Change Advisory Boards is that the intent was always good. Get smart people in a room, look at the evidence, and make sure nothing catastrophic goes out the door. In theory, that's hard to argue with. It doesn't scale in practice. Things happen between meetings. Teams rush to hit the window. The CAB meeting may not catch every risky deployment, but at least everyone can feel good about the process before the incident happens. Automated release management asks a different question entirely.

AI Asked Our General Counsel Anything. She Didn't Hold Back.

What happens when AI interviews a tech leader? You get unexpectedly honest answers. Harness General Counsel Hanna Steinbach sat down with ChatGPT — and skipped the corporate script. From the realities of parenting while leading a legal team at a high-growth startup, to the daily habits that keep her grounded, this is the kind of candid leadership perspective you rarely see. Oh, and she's definitely the person sprinting to the gate right as boarding starts.

What are the benefits of decentralized AI infrastructure?

Have you ever considered how you can utilize artificial intelligence (AI) without sacrificing control over your data and autonomy? As we continue to navigate the changes of AI in the 21st century, it is important to understand how decentralized AI infrastructure can empower individuals and organizations to harness the potential of AI while maintaining sovereignty over their data and decision-making processes.

LLM Observability: Lessons From MLOps w/ Maria Vechtomova (Cauchy)

For nine years, Maria Vechtomova was shouting about monitoring. Nobody cared, until LLMs arrived. As co-founder of Cauchy, Databricks MVP, and one of the most followed voices in MLOps, Maria has watched the field evolve from hand-built experiment trackers to today's flood of observability tools, and her central claim might surprise you: globally, nothing has changed. The fundamentals are the same: track your code, data, and models so you can roll back when something breaks.

The RAM Crunch: How UK Businesses Can Weather the Global Memory Shortage

Tech headlines are being dominated by the perfect storm that has led to a global shortage of Random Access Memory (RAM). As the short-term, temporary memory that handles data for processing and applications, RAM - and specifically Dynamic Random Access Memory (DRAM) - is a foundational business technology.

Security vs speed in databases | The Simple Talk Podcast

Are engineering teams quietly accepting more risk? Redgate's 2026 State of the Database Landscape report reveals that people are increasingly willing to accept more risk to be more productive and take full advantage of AI’s capabilities. Steve Jones, Kellyn Gorman, Grant Fritchey and Pat Wright share their thoughts on that in today's episode. They share stories from their own careers, debate on whether the decline of the DBA 'gatekeeper' role has weakened security practices, how AI is amplifying the problem - and much more.

How are hyperscalers misleading the cloud industry?

In 2024, Mark Boost, CEO at Civo, introduced the concept of ‘cloud parity’, a cloud computing approach that ensures a consistent, identical experience, feature set, and operational model across public, private, hybrid, and edge environments. “Cloud parity gives teams the freedom the cloud was supposed to deliver in the first place. It gives enterprises the sovereignty they need. It gives public sector bodies the clarity they require.