March 7, 2026

Build a Complete SRE Observability Stack for Kubernetes

Learn to build a complete SRE observability stack for Kubernetes with tools like Prometheus and discover the SRE tools for incident tracking to automate response.

Modern Kubernetes environments are dynamic and distributed, making them notoriously difficult to troubleshoot. Without deep visibility, Site Reliability Engineering (SRE) teams are often left guessing when failures occur, leading to longer outages and customer impact.

A complete sre observability stack for kubernetes is the solution, providing the insights needed to manage system health proactively. This article outlines the pillars of observability, the essential open-source tools for building your stack, and the incident management layer that makes it actionable.

The Three Pillars of Observability

Comprehensive visibility into a Kubernetes cluster requires collecting three distinct data types, known as the three pillars of observability [1].

1. Metrics

Metrics are numerical, time-series data that provide a high-level overview of system health. This includes data like CPU usage, memory consumption, and request latency. Metrics are excellent for identifying that a problem is happening.

2. Logs

Logs are timestamped, text-based records of events. They offer detailed context about what occurred within a specific component at a specific time. Logs are crucial for debugging and understanding why a problem occurred.

3. Traces

Distributed tracing follows a single request's journey through multiple microservices. Each step is a "span," and the collection of spans creates a complete trace. Traces are invaluable for pinpointing performance bottlenecks and errors in complex service architectures.

Building Your Open-Source Observability Stack

You can build a production-grade observability data layer using a powerful combination of open-source tools that have become the standard for cloud-native environments.

Metrics with Prometheus

Prometheus is the de-facto standard for metrics collection in the Kubernetes ecosystem. It scrapes metrics from configured endpoints and enables powerful queries with its PromQL language. Key components include kube-state-metrics for cluster-level insights and Alertmanager for handling notifications based on defined rules [2].

Logging with Loki

Grafana Loki is a horizontally scalable log aggregation system designed for cost-effectiveness. It only indexes metadata (labels) about your logs, not the full text content. This design makes it fast and efficient, especially when paired with Prometheus to correlate metrics and logs [3].

Tracing with Jaeger and OpenTelemetry

For distributed tracing, Jaeger is a popular open-source backend for storing and visualizing trace data. Modern stacks use OpenTelemetry, a vendor-neutral standard, to generate and collect telemetry data from applications. The OpenTelemetry Collector can then forward traces to a backend like Jaeger for analysis [4].

Visualization with Grafana

Grafana is the visualization platform that brings everything together. It lets you create unified dashboards by querying data from Prometheus, Loki, Jaeger, and hundreds of other data sources, providing a single pane of glass for your entire Kubernetes environment [5].

The Missing Piece: From Alerts to Action with Incident Management

Having observability data and getting alerts from Alertmanager is only half the battle. The real challenge begins after an alert fires. Many teams resort to manual processes, chaotic communication in sprawling chat threads, and slow response times.

Observability tools tell you what is broken. Effective SRE tools for incident tracking tell your team what to do about it. This is the operational gap that separates data collection from efficient resolution.

Completing Your Stack with Rootly

Rootly is an incident management platform that sits on top of your observability stack, turning alerts into a fast, automated, and streamlined response. It connects data to action, creating a complete and effective SRE workflow. You can get a full overview with our Modern SRE Tooling Stack with Rootly: Complete Guide.

Automate Incident Response from the First Alert

Integrate Rootly with alerting tools like Prometheus Alertmanager or PagerDuty. When an alert fires, Rootly automatically triggers a pre-defined workflow:

Creates a dedicated Slack or Microsoft Teams channel.
Invites the correct on-call engineers.
Starts a video conference call.
Pulls relevant Grafana dashboards directly into the incident channel.
Populates the channel with a runbook.

Centralize Action and Communication

Rootly acts as a central command center within your chat client. Responders can run commands to assign tasks, escalate issues, and log action items without context switching. This ensures all incident activity is tracked automatically while keeping teams focused. You can also update stakeholders through integrated status pages and other communication channels.

Use AI to Reduce MTTR

The AI SRE features in Rootly help teams resolve incidents faster. By analyzing past incident data, the platform can suggest similar incidents, recommend potential causes, and surface relevant runbooks, empowering responders with the information they need to accelerate remediation.

Streamline Retrospectives and Learning

After an incident is resolved, Rootly automatically generates a comprehensive retrospective with a complete timeline, chat logs, and key metrics. This eliminates the manual toil of post-incident analysis and ensures your team learns from every event to prevent future failures.

Conclusion: A Truly Complete SRE Stack

A complete sre observability stack for kubernetes has two critical parts. The first is a data layer built with open-source tools like Prometheus, Loki, and Grafana to collect and visualize system behavior. The second is an action layer, where an incident management platform like Rootly automates response, centralizes collaboration, and drives continuous learning. By combining these, you can Build a Kubernetes SRE Observability Stack with Top Tools that empowers your team to maintain high levels of reliability.

Ready to connect your observability tools to a world-class incident management platform? Book a demo of Rootly today.