A CoPE’s Duty: Indexing on Prod
Odds are that a software engineer today is really focused on one place: pre-prod. Short for “pre-production,” this is slang for an environment where software...
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How Our Love of Dogfooding Led to a Full-Scale Kubernetes Migration
When considering a migration to Kubernetes, as with any major tech upgrade or change, it’s imperative to understand the motivation for doing so. The engineering...
Don’t Let Observability Inflate Your Cloud Costs
We saw a shift this year in how the technology sector honed in on sustainability from a cost perspective. In particular, looking at where they’re...
How Honeycomb Monitors Kubernetes
While Kubernetes comes with a number of benefits, it’s yet another piece of infrastructure that needs to be managed. Here, I’ll talk about three interesting...
How FireHydrant Implemented Honeycomb to Streamline Their Migration to Kubernetes
Kubernetes helps teams of all sizes optimize their microservices architecture by enabling seamless automated containerized app deployment, easy scalability, and efficient operations. But Kubernetes also...
Collecting Kubernetes Data Using OpenTelemetry
Running a Kubernetes cluster isn’t easy. With all the benefits come complexities and unknowns. In order to truly understand your Kubernetes cluster and all the...
Customer-Centric Observability: Experiences, Not Just Metrics
Frontend observability is a tricky problem. No website is free of errors or slowdowns; sites break down in weird ways for all kinds of reasons....
What Is a Telemetry Pipeline?
In a simple deployment, an application will emit spans, metrics, and logs which will be sent to api.honeycomb.io and show up in charts. This works...
5 Ways You Can Utilize Observability to Make Your Next Migration Easier
When people hear the word “migration,” they typically think about migrating from on-prem to the cloud. In reality, companies do migrations of varying types and...
Observing the Future: The Power of Observability During Development
Modern software development—where code is shipped fast and fixed quickly—simply can’t happen without building observability in before deployments happen. Teams need to see inside the...
How Traceloop Leverages Honeycomb and LLMs to Generate E2E Tests
At Traceloop, we’re solving the single thing engineers hate most: writing tests for their code. More specifically, writing tests for complex systems with lots of...
All the Hard Stuff Nobody Talks About when Building Products with LLMs
There’s a lot of hype around AI, and in particular, Large Language Models (LLMs). To be blunt, a lot of that hype is just some...
5 Ways to Increase Release Velocity with Observability
The pressure on today’s development teams is real: innovate, release quickly, and then do it all again, only faster. Is it any surprise that studies...