Operations | Monitoring | ITSM | DevOps | Cloud

All it takes to make critical applications to fail, customer portals to crash, and render internal systems inaccessible is just one expired client secret. Not a sophisticated cyberattack. Not a worldwide cloud service outage. Just a single credential that quietly expired while everyone focused on "more important" things. Is secret expiry that big of a concern? Chances are great that enterprise-scale organizations have at least one expired credential in production right now.

In software development, load testing plays a critical role in ensuring that applications perform optimally under any imaginable load condition. To do this, developers subject applications to several types of load tests, including scalability, spike, endurance, and stress testing. The ultimate goal of these performance tests is to pinpoint potential bottlenecks and ensure the reliability of the overall system where the software application runs before reaching production.

The modern world runs on mission-critical software. It moves our money, drives our cars, diagnoses our illnesses, and fundamentally improves our lives. But, organizations building this critical software face a paradox: they need to move fast to stay competitive, but they also need rigorous governance to manage risk. This has created a lot of tension in regulated industries.

During the October 20th AWS outage, not one Control Plane customer went down. Here’s the architecture that made that possible, and how to assess your own.

Today marks a big milestone in our mission to bring more data, more context, and more visibility into a single, unified view. We’re excited to announce 16 brand‑new integrations, extending the range of data sources you can connect with just a few clicks. But the integrations themselves are only half the story.

In a modern observability deployment, it’s simple to get data that helps you understand where your system is failing. However, when we try to understand why, the answer is often buried beneath a mound of stack traces. For many developers, attempting to interpret a flame graph by manually calculating self-time (the resources consumed by the function itself) versus child-frame latency (the time spent waiting on called sub-functions) is both confusing and time-consuming.

Imagine you want to launch an application without first building and managing the servers that run it. You write the code, pick how it should run, and then let a platform take care of the rest. That’s the core promise of AWS Elastic Beanstalk. In this snackable guide, you’ll understand AWS Elastic Beanstalk well enough to decide if it belongs in your AWS architecture.