Operations | Monitoring | ITSM | DevOps | Cloud

When you're instrumenting applications with OpenTelemetry, you'll encounter two core components: the API and the SDK. The API defines what telemetry data looks like and how it is created, while the SDK handles how that data is processed and exported. Understanding this split helps you build more maintainable observability and avoid tight coupling between your business logic and telemetry infrastructure.

In sectors where precision and predictability are non-negotiable, timing is everything. Whether coordinating robotic arms on a factory floor, maintaining ultra-reliable latency in telecom networks, or ensuring an automotive braking system responds instantly, the success of these systems depends on meeting strict timing deadlines.

When latency creeps into your app, metrics tell you that performance regressed, but logs tell you why. PostgreSQL’s slow-query logging gives you the exact statement, duration, user, and database which is perfect for hunting down missing indexes, inefficient filters, or N+1 patterns.

That 3 AM alert is never fun. Your heart races as you try to figure out what broke this time, and how fast you can fix it. But with an incident response in place, that panic turns into a calm, step-by-step fix. It helps you handle everything, from a server crash to a security breach, in an organized way. In this guide, I’ll walk you through what exactly an incident response is, why you need it, its key components, and how to build one.

With 240 distinct services, ranging from compute to storage to networking and content delivery — each offered at different price points — choosing the right AWS service requires meticulous consideration.. By default, AWS services are available on-demand and you pay a monthly bill for services used. However, the on-demand pricing model can get expensive if you use a lot of services and deploy a fleet of instances.

Database change management is the foundation for building a stable, secure, and high-performing application. In today’s fast-paced technological landscape, where agile and DevOps are the go-to for developing database application, rapid releases and continuous iteration are the norms. But with frequent deployments comes the risk of untracked database changes.

You’ve successfully run a Fault Injection test and uncovered a new failure mode before it impacted customers. And the failure could have taken down your whole system if it had happened in production. Now what? Since this is a potential P1 outage, you absolutely need to address the issue, but that’s going to take some time as you dig through the service to track down the problem. Unfortunately, this is a common conflict.