March 10, 2026

Build an SRE Observability Stack for Kubernetes with Rootly

Build a complete SRE observability stack for Kubernetes. Learn how Rootly acts as a key SRE tool for automated incident tracking and faster response.

Beyond Monitoring for Kubernetes

Managing applications on Kubernetes is complex. Its dynamic, distributed nature means traditional monitoring—knowing that a system is down—is no longer enough. Modern engineering teams need observability: the ability to ask arbitrary questions about their systems to understand why they are failing.

This guide walks you through building a robust SRE observability stack for Kubernetes using powerful open-source tools. More importantly, it shows you how to integrate this stack with Rootly to turn valuable observability data into fast, automated incident response.

The Three Pillars of a Kubernetes Observability Stack

A comprehensive observability strategy for Kubernetes is built on three types of telemetry data. Together, they provide a complete picture of your system's health and behavior [1].

1. Metrics: The Quantitative Pulse

Metrics are numerical, time-series data points that offer a quantitative view of your system's performance. They track things like CPU utilization, request latency, and memory usage over time. In the Kubernetes world, Prometheus has become the de facto standard for collecting and storing metrics, forming the foundation of many monitoring stacks [2].

2. Logs: The Event Narrative

Logs are timestamped text records of events that occurred within an application or system. Whether structured or unstructured, logs provide the detailed, contextual narrative needed for debugging and root cause analysis. Popular tools for aggregating and indexing logs in a Kubernetes environment include Loki and the Elastic Stack [3].

3. Traces: The Request Journey

Distributed tracing follows a single request as it travels across multiple microservices. Each step in the journey is recorded as a "span," and the full path forms a "trace." This is essential for pinpointing performance bottlenecks and understanding dependencies in a complex architecture. OpenTelemetry is the emerging industry standard for generating and collecting all telemetry data, including traces, from your applications [4].

Assembling a Popular Open-Source Stack

You can combine these tools into a cohesive and powerful observability stack. A common architecture looks like this:

OpenTelemetry: Instruments your applications to generate metrics, logs, and traces.
Prometheus: Scrapes and stores metrics data.
Loki or Elasticsearch: Ingests and stores log data.
Grafana: Provides a single pane of glass to visualize all your telemetry data in unified dashboards.
Alertmanager: Handles alerts triggered by rules in Prometheus, notifying on-call teams of potential issues.

This stack gives you incredible visibility into your systems. It tells you when something is wrong. But what happens next?

The Missing Piece: Closing the Loop with Rootly

An alert fires. Now what? Without a dedicated incident management platform, alerts often lead to manual toil, chaotic communication, and slow response times. This is where Rootly becomes the essential component that connects your observability data to your response process, providing one of the most critical SRE tools for incident tracking.

From Alert to Automated Response

Rootly integrates with your alerting tools (like PagerDuty, Opsgenie, or directly via Alertmanager) to kick off automated workflows the moment an incident is declared. Instead of scrambling to set things up manually, Rootly instantly:

Creates a dedicated Slack channel for the incident.
Invites the correct on-call engineers and stakeholders.
Pulls in context from alerts and automatically posts links to relevant Grafana dashboards.
Starts an incident timeline and assigns key roles like an incident commander.
Updates a status page to keep customers and internal teams informed.

A Central Hub for Incident Tracking and Collaboration

Rootly acts as the command center for every incident. It centralizes all related information—timelines, chat logs, action items, and key metrics—in one accessible place. This single source of truth eliminates the need for engineers to jump between tools and manually copy-paste information. Teams can focus on resolving the issue, not on administrative overhead. By unifying the response, Rootly stands out among incident management software and essential tools for SRE teams.

Driving Long-Term Reliability

Effective incident management doesn't end when the issue is resolved. The real value comes from learning. Rootly helps you build a more reliable system by streamlining the post-incident process. It automatically gathers data from the incident—timelines, chat transcripts, and attached graphs—to generate a data-rich retrospective (post-mortem). This makes it easier for your team to identify the root cause, track follow-up action items, and implement changes that prevent future failures, helping you build a powerful SRE observability stack.

Conclusion: Build a Complete SRE Practice with Rootly

A complete SRE observability stack for Kubernetes needs two things: best-in-class tools for data collection and a powerful platform for incident management. While tools like Prometheus, Grafana, and OpenTelemetry give you the data, Rootly provides the critical automation and process layer that turns that data into efficient resolution and long-term learning.

Ready to supercharge your Kubernetes observability stack? Book a demo or start your free trial of Rootly today.