Operations | Monitoring | ITSM | DevOps | Cloud

One of the most critical aspects of monitoring your digital assets is getting a timely alert when something goes wrong. Even when you finish building a monitoring stack and expose metrics on a beautifully designed dashboard if you cannot notice abnormal behaviors and fail to take pre-emptive or follow-up actions swiftly, this means your monitoring system does not serve the purpose.

A real-time system responds to events within a specified deadline. If the timing constraints of the system are unmet, failure has occurred. In the kernel context, real-time denotes a deterministic response to an external event, aiming to minimize the response time guarantee.

For the past four years, Catchpoint and various partners have been running a yearly SRE Survey. This year, Blameless is excited to partner with Catchpoint for the fifth annual survey. We want to hear from you if you are in a DevOps or SRE role or even if you work on reliability with some other title or role. There are tremendous, valuable learnings when we listen closely to practitioners.

While Heroku is ideal for startups because it provides tremendous simplicity and time-saving; Still, when your application starts growing and its architecture becomes complex, challenges related to DevOps, data security, and scalability begin to jump in. That’s where AWS takes over to overcome these limitations. In this article, we will walk you through exactly how to migrate your applications from Heroku to AWS in 5 simple steps with Qovery.

Lineage to the saying “canary in a coal mine”, the canary deployment/release methodology is an incremental release focused on safety. If the canary does not pass, the deployment does not continue or is rolled back. Taking a jog down memory lane, like Kubernetes the Hard Way, a few years ago a canary deployment in Kubernetes was quite the undertaking.