Operations | Monitoring | ITSM | DevOps | Cloud

Sovereign cloud for financial services: Meeting FCA and PRA requirements with UK infrastructure

Financial services in the UK operates under one of the most demanding regulatory frameworks in the world. The FCA and PRA between them set expectations for operational resilience, outsourcing, data governance, and concentration risk that shape every infrastructure decision a regulated firm makes. Cloud adoption in the sector has happened, but it's happened under regulatory scrutiny that's grown steadily more pointed over the last several years.

Managing DHCP Across Distributed Networks

Managing DHCP across distributed networks gets messy fast. Lease activity changes constantly. Naming conventions drift. Infrastructure changes happen independently across locations. Before long, your team no longer has a complete view of what’s happening across the network. What started as a straightforward service becomes a records problem with real operational consequences.

Fix flaky tests with AI, and track future test work in Jira

In January we launched Tests in Bitbucket Pipelines – a single place to track, organize, and understand your test health over time. In April we added automatic flaky test detection so unreliable tests get flagged before they slow your team down. But spotting a problem is only half the battle. Day to day, your team still needs to act on a test – track it as work, clean it up, or route it to the right person.

DevEx Talks ep 6 - Working Neurodivergent: What Helps, What Doesn't

In this episode, we explore neurodiversity in tech and beyond with guests Carl Alexander and Zach Stepek. They share firsthand experiences of what has helped them thrive as neurodivergent professionals and what has not. Together, they discuss the importance of community as a key factor in empowerment, growth, and long-term success for neurodivergent individuals in both work and life. PlayList Resources for Further Learning.

AI Agents Write Broken Code 49% of the Time #speedscale #AI #Coding #Tech #DevOps

AI agents write broken code nearly 50% of the time. By adding a traffic-based deterministic evaluation, Speedscale boosted unsupervised bug-fixing quality from 51% to 77% in just 5 minutes. This helped slash token costs and eliminate rework without human intervention. Learn more: speedscale.com.

Harness Agents

Today, we're launching Autonomous Worker Agents, AI agents that run as governed pipeline steps inside Harness. They inherit OPA policies, RBAC, audit trails, and scoped credentials from the first run. And because they live inside your Harness pipelines, they reason using the Harness Knowledge Graph: your services, deployments, incidents, and policies.

Reading the agent traces is how you make the call your eval can't

Remember being excited (or dreading, depending on the stage of your career and the company you worked at) about writing unit tests? Or sweating all the details in your end-to-end and integration tests you were sure covered all the use cases your users would hit? These days a lot of UIs are slowly being replaced by a single input field and an agent that promises to deliver the same value a UI would, but with the elegance and pun-ness of a “Jarvis”.

A Four-Step Blueprint for Faster Root Cause Analysis: A Logz.io Webinar

Incident investigations take so long not because the fix is hard, but because finding the right fix is. Most engineers spend 20 to 60 minutes just understanding what’s wrong before they can act, not fixing anything, just trying to see the full picture. The framework that changes this has four steps: Orient, Isolate, Hypothesize, and Verify, and the order matters more than the tools.