One of the things that’s quite interesting about service mesh is that it has not been a very well-defined category for a very long time. Service mesh is not a means to an end. By looking at its adoption, we’ve been seeing a refocus on the end use case that service mesh allows us to enable. Some are around observability while others are around security and trust – being able to provide that identity to all of our services.
In our first episode of Kongcast, I had the pleasure of speaking with Liz Fong-Jones, principal developer advocate at Honeycomb, about the concept of error budgets for service level objectives (SLOs) and how to accelerate software delivery with observability. Check out the transcript and video from our conversation below, and be sure to subscribe to get email alerts for the latest new episodes.
Debugging is hard. Cloud debugging is harder. Debugging Kubernetes and Serverless applications sometimes feels nearly impossible when: These classic remote debugging challenges have made the world of cloud debugging seem impossible at times and has given rise to the practice of Observability. The rise of the Observability trend in recent years has directed engineers towards one direction to solving these problems: print logs, print traces, throw exceptions.
This blog is part of our ongoing "meet the analyst of the future" series, which profiles analysts who are transforming their organizations and supercharging their careers by embracing the future of analytics today.
Last week, Perforce announced our 12th acquisition, the BlazeMeter Continuous Testing Platform – a great addition to our DevOps at Scale portfolio. I’d like to welcome the Blazemeter team to the Perforce family. Throughout our conversations leading up to the acquisition, it was clear that we were dealing with a world-class product, and a world-class team. We are excited to add both to Perforce and look forward to the things we will accomplish together.
Hello, Kong Nation 👋! Constructed from the combined efforts of the open source community and the core engineers at Kong, Inc., today we are very proud to release the Kong Gateway (OSS) version 2.6. Please read on for more release information.
Today, I’m thrilled to announce that Lenses.io is joining Celonis, the leader in execution management. Together we will raise the bar in how businesses are run by driving them with real-time data, making the power of streaming open, operable and actionable for organizations across the world. When Lenses.io began, we could never have imagined we’d reach this moment.
Apache Kafka has grown from an obscure open-source project to a mass-adopted streaming technology, supporting all kinds of organizations and use cases. Many began their Apache Kafka journey to feed a data warehouse for analytics. Then moved to building event-driven applications, breaking down entire monoliths. Now, we move to the next chapter. Joining Celonis means we’re pleased to open up the possibility of real-time process mining and business execution with Kafka.
You may have previously heard about TeamViewer if you’ve ever needed to remotely access another device for the purposes of maintenance or general work activities.
