Operations | Monitoring | ITSM | DevOps | Cloud

Prometheus and InfluxDB represent two distinct approaches to time-series data management and system monitoring. As organizations grapple with increasing data volumes and complex infrastructures, choosing the right tool becomes crucial. This analysis dives deep into the technical nuances of Prometheus and InfluxDB, examining their architectures, data models, and performance characteristics.

Australian city councils are the command centers of every city, ensuring essential services are delivered with reliability and speed while being available for citizens' queries and requests. Though the IT infrastructure of Australian city councils has predominantly been on-premises, the last decade has seen a substantial digital shift with increasing cloud adoption.

Grafana and Prometheus have become integral components in observability stacks. This comprehensive analysis examines Grafana and Prometheus, two leading open-source tools that address critical aspects of system observability. We'll dissect their architectures, compare key features, and evaluate their performance in various deployment scenarios.

Practical tips for monitoring, analyzing, and improving system performance.

Effective logging is crucial for maintaining and troubleshooting applications running in Kubernetes clusters. As applications become more complex, ensuring they perform optimally has never been more critical. In this comprehensive guide, we'll explore Kubernetes logging using kubectl, covering everything from basic commands to advanced techniques and best practices.

JIT Access, sometimes referred to as just-in-time provisioning or just-in-time privileged access management (JIT PAM), is a security strategy that grants users access privileges for limited time periods. Access is granted on an “as-needed” basis. For example, if a developer requires access to a specific platform for a week or as part of an on-call access to production duty, a JIT Access system can provide that access and automatically revoke it after the time period ends.

One of the biggest challenges observability teams face today is gaining end-to-end visibility into their cloud native apps, including modern browser frontends. Without that visibility, you potentially open the door to bad end-user experiences that can hurt customer satisfaction, reduce search engine discoverability, and interfere with overall business goals. This is the exact challenge we address with Grafana Cloud Frontend Observability.

As part of our recent failure testing project, we ran into an interesting failure mode involving the OpenTelemetry SDK for Go. In this post, we’ll show you why our apps stopped sending telemetry for over 15 minutes and how we enabled keepalives to prevent this kind of failure from happening in the future.