Operations | Monitoring | ITSM | DevOps | Cloud

You're running Kafka on Confluent Cloud. You care about lag, throughput, retries, and replication. But where do you see those metrics? Confluent gives you metrics, sure, but not all in one place. Some live behind a metrics API, others behind Connect clusters or Schema Registries. You either wire them manually or give up. What if you could stream those metrics to a platform built for high-frequency, high-cardinality time series, and do it in minutes?

In 2008, Nuance hired me to join their Healthcare Speech Recognition team as a “Release Engineer.” DevOps wasn’t a thing yet — Patrick Debois and Andrew Shafer wouldn’t hold their first “DevOpsDays” until 2009. But I was lucky that “Release Engineer” at Nuance meant “jack of all trades” who wrote Makefiles, bash scripts, Perl, and Java to build and release code to a fleet of hundreds of on-premise Linux machines.

To read more on the findings from this research, visit the Digital Sovereignty Revolution whitepaper by clicking here. For years, global hyperscalers have been the backbone of cloud infrastructure for UK businesses. Their scale, reach, and performance made them the default choice. But as geopolitical uncertainty grows and concerns around data governance deepen, the cracks in this model are beginning to show.

Yesterday, like many others in the tech community, I found myself pausing to fully grasp the implications of the Microsoft SharePoint hack. As one of the most widely adopted document management and collaboration platforms globally, SharePoint’s compromise inevitably sends ripples of concern through businesses everywhere. This news reminded me of a conversation I had just last week with an enterprise customer. We were discussing how one might approach cybersecurity from a hacker’s perspective.

Attestations, or as we like to call them, evidence, are a critical piece to proving software supply chain integrity and security. However, without the right tools and processes, reviewing and verifying attestations can be time-consuming. At JFrog, we’re deeply committed to empowering developers, DevOps, and Security teams to make these complex workstreams as simple as possible.

Banks and financial institutions operate in one of the most complex, highly regulated and risk-averse industries.

There’s a hard truth in IT: everyone wants automation, but nobody wants to wait six months (or more) to get it off the ground. Traditional automation initiatives are often bogged down in backlog, scripting complexity, and integration chaos. That’s exactly what makes agentic workflows different. Agentic workflows don’t just automate tasks; they act. They understand intent, operate autonomously, and improve over time.

The Quest For The Five Minute Deploy Speed is everything at incident.io. The faster we can test and ship code, the faster we can get new products and features out to customers. Over the last three years, as our codebase grew and our test suite expanded, we drifted away from our own goals: "We aim for less than 5 minutes between merging a PR and getting it into production." This is the story of how we got back on track.

Engineering excellence is more than code quality or tool choice. It’s about aligning engineering with business goals, improving systems systematically, and building a culture of continuous progress. In a recent episode of the Tech Lead Journal podcast, Cortex CTO and co-founder Ganesh Datta shared lessons from his engineering career.