Monitoring

In my previous article on Observability 2.0, I talked about how ClickStack and unified platforms solve the fragmented three-pillar problem by storing everything in ClickHouse. That’s the ideal end state — but what if you’re not ready to rip and replace your entire stack today? This Helm chart is the pragmatic answer. It’s still three separate backends under the hood (Loki, Tempo, Mimir), but thanks to OpenTelemetry’s OTLP protocol, it feels like one unified system. Your apps emit OTLP, hit a single gateway, and that gateway routes everything to the right storage. You get centralized ingestion, Grafana pre-wired for correlation, and zero vendor lock-in. ...

Managing observability at scale has really changed with the rise of distributed systems, and the traditional three-pillar approach (metrics, logs, traces) has become one of the biggest bottlenecks …

Prometheus has clearly established itself as the benchmark solution for metrics collection and alerting in cloud-native environments. Its pull-based architecture, powerful query language (PromQL) a…

Monitoring large-scale, multi-cloud Kubernetes environments can be a hard task, especially when dealing with high-cardinality metrics and long-term data

In this tutorial, we will learn how to set up Prometheus rules and configure Alertmanager to send alerts to a Slack channel. Prometheus is a popular monitoring and alerting solution in the Kubernet…