Look, we've all been there: there's a term, you've heard it one hundred times. You've nodded as others said it in meetings. And now, you've started to say it. The only tiny insignificant problem is that you're not 100% sure what it actually means or how it's different from another similar term. I feel you. So I wrote this DevOps glossary with my highly opinionated definitions of common DevOps industry terms.

Datadog’s infrastructure comprises hundreds of distributed services, which are constantly discovering other services to network with, exchanging data, streaming events, triggering actions, coordinating distributed transactions involving multiple services, and more. Implementing a networking solution for such a large, complex application comes with its own set of challenges, including scalability, load balancing, fault tolerance, compatibility, and latency.

As you may know, StatusGator has two monitor types at present: Cloud service monitors and website monitors. Our website monitor feature allows a myriad of sophisticated configuration options including interval config, HTTP methods, and content or status checks. We’ve just launched some important improvements to our API for those of you using website monitors. Our Service show endpoint will now include configuration details for those monitors that are website monitors under a new key called config.

API requests are an essential part of modern software development, allowing applications to communicate and exchange data with each other. In this article, we'll explore what API requests are, how they work, and the various components that make up a successful API call.

Starting today, Checkly users can send their traces from synthetics checks to Coralogix to view in-depth synthetic user data along with back-end APM based tracing. This gives SRE’s and Operations engineers a new insight into how the system is responding to automated synthetic tests of your service. For Checkly users, integrating with Coralogix data means it’s easy to correlate end-to-end user experience with backend performance, and track poor performance to its root cause.

It’s 1am, and something has gone very wrong. The head of sales is in the incident response channel because our top customer is reporting a system-wide outage. Everyone’s running around trying to figure it out. As you look at service maps and traces, you get a sinking feeling. Earlier the previous evening, you got an alert that user-access-service was running out of memory.

Today, I’m thrilled to announce two changes to our leadership team. We at Checkly aim to deliver the best synthetic monitoring platform that allows you to identify and resolve issues 10x faster. I’m proud to have crossed that 1,000-customer mark and aim to enhance your experience even further as we are just getting started and are excited about what technologies like Open Telemetry, Clickhouse and others will enable us to do in the future.

In this guide, we document the process of building mock APIs in Kubernetes from traffic using Speedscale.