Profiling Java Applications in Production Environments
The DevOps and SRE practices allow teams to achieve faster production problem resolution by encouraging collaboration and deeper understanding of the applications. This implies that the necessary production analysis tools are available.
Code-Level Go Monitoring
Monitoring is a critical component of literally any application stack. Without the ability to see how Go applications perform and get notified in case of an availability or performance problem, it would be impossible to take timely action. Any downtime or performance regression can have a significant impact on the business.
Continuous, Low-Overhead Production Profiling
Profiling tools are a critical part of application development and operations. Problems, such as memory leaks or high CPU load, may make applications, developed over the course of serval months, unusable in minutes. Problems like this are very hard to localize and fix without special tools, such as profilers.
Monitoring Errors and Panics in Go
Every error, exception or crash in a production application can directly affect the customer experience. To improve application quality, errors and crashes should be continuously detected and eliminated. To do this efficiently, the following information is necessary:
Why Monitoring Isn’t Enough for Modern Applications
Any business-critical production application is accompanied by monitoring and alerting. If not, the downtime or performance issues will stay unnoticed for longer, which will obviously negatively impact any organization.
Profiling CPU Usage in Go
Identifying CPU hots spots with line-of-code precision is critical when it comes to troubleshooting performance issues, identifying performance bottlenecks or improving response for a better customer experience.