Operations | Monitoring | ITSM | DevOps | Cloud

Operations - Past, Present and Glorious Future

People with infrastructure experience and operational experience like “DevOps Engineer”, “SRE”, “Platform Engineer” have started to see those two skill sets diverge. It’s not very clear what that split means for these skilled technical people as they approach the next phase of their careers.

Raw & Real Ep 7 The Tracing You Deserve So You Can Observe

Distributed tracing is key to building and operating reliable services that make your customers happy. Traces pinpoint where failures occur and what causes poor performance. With tracing and observability, you can visualize the entire life cycle of service requests and discover hidden latency, errors, and optimization opportunities monitoring can’t show you. So why doesn’t everybody do it? Setting up tracing is notoriously difficult, but it doesn’t have to be. Honeycomb Instrumentation Engineer Paul Osman has the easy-breezy steps for you to get the tracing you deserve.

New Product Updates What Does it Mean to Observe and Debug in 'Hi Res'

A number of Honeycomb features have been released throughout spring 2019 that, collectively, we like to say deliver “hi-res” across the Engineering and DevOps lifecycle. What do we mean? First, hi-res with Honeycomb means you get clearer visibility about how your production is behaving in real time, as you release new code. Secondly, it means once you have those insights (thanks to granular event data stored in Honeycomb), you can debug and resolve more efficiently. So, how do we do it?

Eaze into Observability

On-call teams use Honeycomb’s analytics to discover exactly what is happening with code in production. While incident response is a key reason engineers rely on Honeycomb, observability also delivers unique value during the development process. Eaze takes observability a step further and uses Honeycomb to prioritize what’s needed to stabilize their existing service while informing how they build their new Go and Node.js microservices platform all at the same time.

Honeycomb Learn Ep. 2: De-stress Debugging -Triggers, Feature Flags, & Fast Query

This episode in our Honeycomb Learn series looks at how to cut stress levels when debugging issues in production. Starting with a hypothesis, run fast queries, and then navigate to the code where the problem lies. Be proactive and set triggers to let you know if something needs attention. When engineering is about to ship a new release, set a feature flag to watch how production behaves in real-time. Curtail performance issues and reduce customer impact with the right tools to better understand production systems, right now.