Cloud · head to head
Jaeger vs Kubernetes
The short version
- Each has a real cost: Jaeger tracing is only as good as the instrumentation, and partial instrumentation produces misleading gaps; Kubernetes complex initial setup and configuration with multiple interdependent components
- They diverge on capability: Jaeger covers Distributed trace search, Kubernetes covers Container orchestration.
Where they differ
Only the attributes on which Jaeger and Kubernetes actually diverge.
| Attribute | Jaeger | Kubernetes |
|---|---|---|
| Pricing model | Open source, no licence fee | Unknown |
| Platforms | Linux, Kubernetes, Docker | Linux, Cloud (AWS, GCP, Azure) |
| Category | Cloud | Technology |
| Founded | Unknown | 2014 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Jaeger
- Distributed trace search
- Dependency graph
- Adaptive sampling
- Pluggable storage
Only in Kubernetes
- Container orchestration
- Automatic scaling
- Self-healing
- Service discovery
- Load balancing
- Storage orchestration
- Automated rollouts
- Secret management
What people use each for
The jobs each tool is most often brought in to do.
Jaeger
- Finding which service in a request path causes the latencynot Kubernetes
- Understanding real service dependencies rather than the diagram on the wikinot Kubernetes
- Debugging failures that only appear under production traffic patternsnot Kubernetes
Kubernetes
- Microservices deploymentnot Jaeger
- Cloud-native applicationsnot Jaeger
- CI/CD pipelinesnot Jaeger
- Multi-cloud deploymentsnot Jaeger
- Edge computingnot Jaeger
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Jaeger
- Tracing is only as good as the instrumentation, and partial instrumentation produces misleading gaps
- Storage is the real operational cost: high-volume tracing on Elasticsearch or Cassandra is a cluster to run and pay for
- Traces alone, without correlated metrics and logs, leave you switching between tools during an incident
Kubernetes
- Complex initial setup and configuration with multiple interdependent components
- Significant resource requirements for both hardware infrastructure and specialized human expertise
- Expensive specialized talent in Kubernetes domain; hiring costs prohibitive for many organizations
- New security challenges around container isolation and network security requiring robust measures
- Requires continuous maintenance and updates to stay current with releases and security patches
Pricing, plan by plan
Jaeger
Free- JaegerFree
- Full functionality
- No usage limits
- Community support
Kubernetes
FreeNo published plan breakdown. See the Kubernetes review.
Which should you pick?
Choose Jaeger if
- You need distributed trace search.
- You want to start without paying.
- You work on Linux, Kubernetes, Docker.
- You also want dependency graph.
Choose Kubernetes if
- You need container orchestration.
- You want to start without paying.
- You work on Linux, Cloud (AWS, GCP, Azure).
- You also want automatic scaling.
Questions people ask
- Is Jaeger or Kubernetes better?
- Neither clearly leads. Jaeger starts at Free and Kubernetes at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Jaeger or Kubernetes?
- Jaeger starts at Free and Kubernetes at Free.
- Does Jaeger or Kubernetes run on more platforms?
- Jaeger runs on Linux, Kubernetes, Docker. Kubernetes runs on Linux, Cloud (AWS, GCP, Azure).
- Can I use Jaeger for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Jaeger best used for?
- Jaeger is most often used for finding which service in a request path causes the latency, understanding real service dependencies rather than the diagram on the wiki, debugging failures that only appear under production traffic patterns. Of those, finding which service in a request path causes the latency and understanding real service dependencies rather than the diagram on the wiki are not what Kubernetes is typically brought in for.
- What can Jaeger do that Kubernetes cannot?
- Jaeger covers Distributed trace search, Dependency graph, Adaptive sampling, Pluggable storage. Kubernetes covers Container orchestration, Automatic scaling, Self-healing, Service discovery.
Answered from the vendors’ own pages
Jaeger: Is Jaeger free?
Yes, open source and CNCF-graduated. Costs are the storage backend you run.
Kubernetes: What is Kubernetes used for?
Kubernetes is a container orchestration platform that automates deployment, scaling, and management of containerized applications across clusters of machines.
SourceJaeger: Do I use Jaeger or OpenTelemetry?
Both, usually. Instrument with OpenTelemetry and use Jaeger to store and query the traces.
Kubernetes: Is Kubernetes free?
Yes, Kubernetes is free, open-source software maintained by the Cloud Native Computing Foundation. However, running Kubernetes clusters requires infrastructure investment.
SourceJaeger: Does Jaeger handle metrics and logs?
No. It is a tracing system. Metrics and logs need Prometheus, Loki or an equivalent.
Kubernetes: How hard is it to learn Kubernetes?
Kubernetes has a steep learning curve. It requires deep knowledge of containerization, networking, and distributed systems. Teams without prior container experience should expect significant training time.
SourceRelated pages
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