Your images are 404ing all over the place. You’ve got an angry email from a client. Their site is “broken”, images aren’t loading, cumulative layout shift is running riot, and everything is messed up. The crowds are mocking your broken code on Twitter. A fun GIF loaded via a Giphy URL no longer exists. And someone has accidentally deleted an image from the CMS.
When it comes to the best cloud monitoring tools, there are various services you can rely on or choose to support your IT infrastructure. After all, cloud monitoring is critical to ensure the performance, uptime, and overall health of cloud services. Numerous teams in modern IT, SaaS, and app development companies, including DevOps, SREs, and security analysts depend on cloud monitoring solutions.
Table of contents This is the seventh part of our 12-day Advent of Monitoring series. In this series, Checkly's engineers will share practical monitoring tips from their own experience. At Checkly, we manage various scheduled jobs, some of which play a crucial role in our application's functionality, and others exist to support different teams within Checkly.
Despite the siren song of AI in the keynotes, visitors were far more focused on solving real-world problems. These are the issues that have plagued IT practitioners for years, if not decades: troubleshooting and validating performance and availability of their applications, services, and infrastructure.
Managing incoming web traffic for your applications is essential to ensuring optimal performance, preventing abuse, and maintaining the security of your cloud infrastructure. To accomplish this, one of the tools HAProxy Enterprise users have at their disposal is rate limiting—the practice of preventing clients from making too many requests and using system resources unfairly.
The holiday season is here and it’s time for everyone’s favorite guessing game: predictions for next year. It’s an interesting one this year because there are a lot of dynamics to consider, and trying to dial in on just a few is a slight to many other topics. Geopolitics, regional economic recessions — these are covered in a wide variety of industry publications, and I’ll yield the floor to them this year.
In part 1 of this 2 part blog we looked at some common engineering tradeoffs. But how might someone navigate these tradeoffs and build a model that works for their product? Here are some core concepts that can help along the way.
At Lumigo, building developer-first tools has always been at the forefront of our approach to troubleshooting and debugging. As developers ourselves, we have experienced firsthand the frustration and intricacies of sifting through logs looking for answers. We’ve also felt the pressure of the clock ticking, with production issues waiting to be resolved and the need for timely answers to surfaced application issues.
When it comes to managing infrastructure resources, striking a balance between rightsizing and cost optimization is crucial. Our cloud infrastructure at Mattermost runs on multiple Kubernetes clusters, RDS clusters, and S3 buckets, all isolated from each other for enhanced security and performance.
