March 8, 2026

Build a Complete SRE Observability Stack for Kubernetes

Learn to build a complete SRE observability stack for Kubernetes. Go beyond metrics and logs by adding automated incident management to resolve issues faster.

Kubernetes makes container orchestration easier, but its dynamic nature introduces significant observability challenges. To maintain reliability, site reliability engineering (SRE) teams need deep insights into system behavior. An SRE observability stack for Kubernetes delivers this by collecting telemetry data, but gathering data is only half the battle. A truly complete SRE tooling stack must also equip teams to act on that data and resolve incidents faster.

This guide walks through building a powerful open-source data collection stack and shows how to connect it to an incident management platform that makes your observability data actionable.

The Three Pillars of Observability in Kubernetes

To understand what’s happening in a complex system, you need to collect three types of data. Together, these "pillars" offer a comprehensive view of your Kubernetes observability stack and help answer critical questions during an outage [5].

Metrics: Answering "What" is Happening

Metrics are numerical, time-series data that quantify system performance, such as CPU usage, memory consumption, or request latency. They excel at showing you what is happening at a high level, helping you spot trends and identify anomalies at a glance.

For Kubernetes, Prometheus is the de facto standard for metrics collection [1]. It gathers data from components like kube-state-metrics for cluster-level objects (like deployments and pods) and node-exporter for hardware and OS metrics from each node.

Logs: Answering "Why" It's Happening

Logs are timestamped, text-based records of discrete events from applications and infrastructure. When a metric tells you something is wrong, logs often provide the contextual details to understand why. They are indispensable for debugging and root cause analysis.

A popular, cost-effective tool for log aggregation is Loki. It integrates seamlessly with Prometheus and is designed to be highly efficient by indexing metadata about your logs rather than their full content [2].

Traces: Answering "Where" the Problem Is

In a microservices architecture, a single user request can traverse dozens of services. Distributed tracing lets you follow that request's entire path, showing where bottlenecks or errors occur along the way.

OpenTelemetry has emerged as the open standard for instrumenting applications to generate trace data [4]. These traces are then sent to a backend system like Jaeger for storage and visualization, giving you a clear map of service interactions.

Assembling Your Open-Source Observability Stack

Combining these tools creates a powerful foundation for Kubernetes observability. This part of the stack is focused on collecting the data you need and turning it into insight to understand the "what" and "where" of a problem.

Unified Visualization with Grafana

The core of this open-source stack involves Prometheus scraping metrics, Loki ingesting logs, and Grafana serving as the unified dashboard to visualize it all. The key to rapid diagnosis is correlating different data types. Grafana lets you build dashboards that overlay a metric spike with logs from the exact same timeframe, helping you quickly confirm the cause of an issue [3].

Automated Alerting with Alertmanager

Observability data isn't useful if no one is notified when things go wrong. This is the job of Alertmanager, which is typically bundled with Prometheus. It deduplicates, groups, and routes alerts to channels like email, Slack, or a webhook. However, an alert notification is just the beginning. The real challenge is managing the subsequent response without overwhelming your team.

Completing the Stack with Incident Management

Observability data and alerts tell you that a problem exists, but they don't help your team organize, communicate, and resolve it. This is where incident management comes in. To be effective, you need robust SRE tools for incident tracking and response that turn raw data into decisive action.

From Alerts to Action with Rootly

Rootly serves as the command center for your entire stack, connecting your observability tools to a structured, automated incident response process. Instead of just sending a notification to a noisy channel, an alert from Alertmanager can trigger a complete, repeatable workflow in Rootly.

For example, an alert from Alertmanager can trigger an automated workflow in Rootly that instantly:

Creates a dedicated Slack channel for the incident.
Pages the on-call engineer using its built-in on-call management and scheduling tools.
Starts a Zoom meeting for the response team.
Updates a status page to keep stakeholders informed.
Pulls relevant Grafana dashboards directly into the incident channel.

By integrating your observability tools with top incident management platforms like Rootly, you eliminate the manual toil that slows down your team. Engineers can stop scrambling to set up channels and find dashboards, and instead focus on what they do best: solving the problem. Rootly centralizes communication, automates workflows, and generates post-incident retrospectives to ensure your team learns and improves with every event.

Conclusion: Build a Resilient, Action-Oriented Stack

A complete SRE observability stack for Kubernetes requires two critical halves. The first is data collection and visualization, handled effectively by open-source tools like Prometheus, Loki, and Grafana. The second, and arguably more impactful, is an incident response platform like Rootly that turns that data into fast, coordinated action.

By connecting your observability stack to Rootly, you empower your team to move from being reactive to proactive. This integrated approach reduces manual toil, lowers Mean Time to Resolution (MTTR), and helps you build a more resilient and reliable system.

See how Rootly can complete your observability stack and transform your incident management process. Book a demo today.