Operations | Monitoring | ITSM | DevOps | Cloud

Improving MTTR with AIOps: Myth or Fact?

There was a version of daily life, not long ago, that ran entirely on physical effort. Booking a trip meant a visit to a travel agent. Ordering lunch meant walking to a restaurant or calling and hoping someone picked up. Buying something for the home meant a trip to the store and a checkout queue. Paying a bill meant visiting a bank branch and engaging with a teller. None of it was instant, and nobody expected it to be.

How Agentic AI speeds up troubleshooting application issues

One night, Daniel Rizzy was the only person awake on Zylker’s IT team, and the clock was already running. He was also the only thing standing between a P1 outage and 10,000 customers. Rizzy works nights for ZylkerXchange, Zylker’s foreign currency exchange app. He lives on the city’s outskirts, where the air is clean and quiet, and the night shift suited that life. Most nights, nothing happened. Some nights, everything did.

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.