Operations | Monitoring | ITSM | DevOps | Cloud

Everyone talks about the need for observability, it even comes up in board meetings. But let’s talk about the reasons you shouldn’t add observability to production.

Application performance monitoring (APM) tools have become a fundamental part of many organisations that wish to track and observe the optimal functioning of their web-based applications. These tools serve to greatly simplify the process through automation and allow teams to effectively collaborate to maximize efficiency, enabling you to reach the root cause of an issue before it reaches your customers.

My favorite technical experience from grad school was all the cool ways we were trying to squeeze every last bit of performance out of the IBM JVM (now called Eclipse OMR). The majority of such optimizations required an intricate understanding of how CPUs and memories look under the hood. But why is there such an impressive performance gain in padding objects with blank space to the closest multiple of 64 bytes and ensuring they always start at addresses that are exactly divisible with 64?

As connected as the world is today, it can feel quite disconnected, especially in IT. Individual teams use various tools, each with specialized interfaces and dedicated dashboards, to present or interpret data each the specific functional team needs.

Loki is a open source log aggregation tool developed by Grafana labs. It is inspired by Prometheus and is designed to be cost-effective and easy to operate. But Loki also has some limitations, and you might want to explore some Loki alternatives for your log analytics. In this article, we will look at 11 log management tools you can use as a Loki alternative. Loki is designed to keep indexing low. It does this by making use of labels.

OpenTelemetry is the future of Observability, APM, Monitoring, whatever you want to call ‘the process of knowing what our software is doing.’ It’s becoming common knowledge that your time is better spent gaining experience with an open, standardized system for telemetry than closed-source or otherwise proprietary standard. This truth is so universally acknowledged that all the big players in the market have made announcements of how they’re embracing OpenTelemetry.

The Raygun ingestion pipeline is kept pretty busy processing over 90 million crash reports every day. So needless to say, we need the processing pipeline to be as efficient as possible to reduce resource usage and avoid costly scaling.

Today, I’ll cover Shift Left Monitoring: A Pathway to Optimized Cloud Applications and how left-shifted troubleshooting of Spring Boot code issues using observability tooling can avoid production issues, unnecessary costs and improve product quality. Shift-left is an approach to software development and operations that emphasizes testing, monitoring, and automation earlier in the software development lifecycle.