Operations | Monitoring | ITSM | DevOps | Cloud

Node.js Resiliency Concepts: Recovery and Self-Healing

In an ideal world where we reached 100% test coverage, our error handling was flawless, and all our failures were handled gracefully — in a world where all our systems reached perfection, we wouldn’t be having this discussion. Yet, here we are. Earth, 2020. By the time you read this sentence, somebody’s server failed in production. A moment of silence for the processes we lost.

Java Logging: Best Practices for Success with your Java Application

Java is used by at least 7.6 Million developers worldwide. Java logging has been a staple of the Java platform since day one, boasting extensive, resourceful documentation and rich API’s. The cornerstone of monitoring your application is efficient and widespread logging. At Coralogix, we know that logs have become one of the most important components of a modern monitoring function.

[Webinar] Why monitoring your multi-cloud Infrastructure (AWS, Azure, GCP) is mandatory

Resources hosted in the public clouds like AWS, Azure and GCP need round the clock monitoring to ensure the continued availability of resources. With workloads constantly being shifted to the cloud, here are the benefits that come with monitoring them.

All the non-technical advantages of Loki: reduce costs, streamline operations, build better teams

Hi, I’m Owen, one of the Loki maintainers, and I’m putting proverbial pen to paper to convince you why Loki is important. And this isn’t because it scales (it does) or because I work at Grafana Labs (I do). It’s because of the oft-overlooked and underrepresented organizational benefits. Organizational benefits?! What is this, some sort of cult? Why are you avoiding the technicals? Whoa, whoa, whoa. Now, hold on. The technicals are still valid.

The Great Irony of Serverless Computing

Working with Serverless computing is like riding an electric bike. You get speed, flexibility, automatic assistance to scale with ease. Development is usually hassle-free because you can focus on code and only pay for usage of the service. Except when your users hit an error. Debugging that issue feels like your bike’s battery just died while climbing a steep hill.