Deep Observability for Kubernetes


Automate Troubleshooting of Kubernetes Applications

StackState is an out-of-the-box platform to observe your entire Kubernetes stack, identify problems, automatically highlight the changes that cause them and provide the full context you need for efficient and effective troubleshooting.

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The StackState Difference for Kubernetes

Most of today’s container observability solutions focus on the state of independent services without correlating them and without tracking cause and effect. StackState is different in many ways:


Featured Customer: FieldPulse

See how FieldPulse got all the observability data they need plus more comprehensive insights from Kubernetes and AWS in just three hours. The team found unknown bottlenecks, cut transaction response time in half, reduced Amazon RDS utilization by 75% and significantly lowered overall AWS costs.

  • Deeper visibility into infrastructure and issues

  • Natively observability for AWS/EKS cloud native environments

  • Deeper insights than they were getting with CloudWatch and Dynatrace

  • Helps their team understand impact of change and component dependencies across multiple silos in their IT environment

Tracking changes in your stack over time

Why Observing Kubernetes Is Hard

Container resources are dynamic and ever-changing. The old ways of monitoring don’t apply anymore – but the need to ensure the reliability and performance of your business-critical applications is more important than ever.

  1. Containers are ephemeral: they have fast-moving parts and short life spans, so they are hard to keep track of.

  2. Large applications typically have many container instances, often managed by multiple teams who are often separated by silos.

  3. Containers are affected by many other activities in your environment, but visibility is often obstructed by layers of abstraction.

  4. Teams lack a unified, correlated view that shows cause and effect of changes across their stacks over time.

Groundbreaking Observability and AIOps

StackState has unique technology, supported by our 4T Data Model, that changes the observability game:

  • Time-series graph database to track all changes

  • API integrations

  • eBPF-based, low-overhead agent

  • Compatible with OpenTelemetry


Business Outcomes

  • Meet your service level objectives

  • Troubleshoot more quickly and reduce MTTR by 80% or more

  • Lower the cost of observability

  • Reduce instrumentation and troubleshooting toil

Explore StackState Observability for Kubernetes

See how StackState helps you observe your business-critical Kubernetes applications with confidence.

Observability for complex telecom applications

Case study: Read how a telecom provider uses StackState to better understand dependencies between components as they transformed their infrastructure to utilize virtual platforms, containers and microservices.

Kubernetes container runtimes and why they matter with Zandré Witte

Podcast: What does Kubernetes do and why is it better than other solutions? Why is keeping up with the rate of change in Kubernetes environments more complex but more important than ever? Zandre Witte, K8s developer, answers these questions.

Observability for large financial services organization

Case study: Learn how one company uses Stackstate’s unified topology to merge existing, siloed topology data from CMBDs, Puppet, Jenkins, Kubernetes and other tools to immediately flag performance anomalies.

Advanced observability – for AWS, on AWS

Using AWS? Get out-of-the-box monitoring and anomaly detection of your AWS environment, including Kubernetes.

StackState’s Kubernetes docs

Technical documentation: Read the details about what you can do and how it works.