The latest News and Information on Observabilty for complex systems and related technologies.
It’s time we had a real conversation about why UX designers everywhere are still unhappy, why that elusive “seat at the table” feels so impossibly out of reach to so many (even at companies that embrace design), and how this impacts your business Design is facing down an epidemic of designers who feel burned out, taken for granted, marginalized, and disrespected. Yes, there is something different about our experience compared to other disciplines.
Two recent studies conducted by Nucleus Research, focused on how a global telecommunications provider, and multi-line insurance company realized quantified business value through Elastic. The companies that were studied saw great levels of satisfaction from deploying Elastic Cloud. Through their adoption they were able to increase the maturity of their tech stack and circumvent prior limitations in scalability.
Forget the latest tech gadgets and the newest products. One of the most talked about trends in observability right now? “SLOs have really become a buzzword, and everyone wants them,” said Grafana Labs principal software engineer Björn “Beorn” Rabenstein on a recent episode of “Grafana’s Big Tent,” our new podcast about people, community, tech, and tools around observability.
Spring makes building a reliable application much easier thanks to its declarative transaction management. It also supports programmatic transaction management, but that’s not as common. In this article, I want to focus on the declarative transaction management angle, since it seems much harder to debug compared to the programmatic approach. This is partially true. We can’t put a breakpoint on a transactional annotation. But I’m getting ahead of myself.
Keeping your systems secure is a never-ending challenge. Not only is it necessary to monitor and secure your own tech stack, but each new service a company uses creates another potential avenue for bad actors to try to exploit for their own ends.
Ah, good question! TL;DR: Trace instead of log. Traces show connection, performance, concurrency, and causality. Logs are the original observability, right? Back in the day, I did all my debugging with `printf.` Sometimes I still write `console.log(“JESS WAS HERE”)` to see that my code ran. That’s instrumentation, technically. What if I emitted a “JESS WAS HERE” span instead? What’s so great about a span in a trace? Yeah, and so do logs in any decent framework.
