Cloud · head to head
Serverless Framework vs Jaeger

Serverless Framework
Cloud
Build and deploy serverless applications on AWS Lambda
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Serverless Framework exclusive to AWS Lambda - no support for other cloud providers; Jaeger tracing is only as good as the instrumentation, and partial instrumentation produces misleading gaps
- They diverge on capability: Serverless Framework covers YAML configuration, Jaeger covers Distributed trace search.
Where they differ
Only the attributes on which Serverless Framework and Jaeger actually diverge.
| Attribute | Serverless Framework | Jaeger |
|---|---|---|
| Pricing model | Unknown | Open source, no licence fee |
| Platforms | AWS Lambda, AWS API Gateway, AWS CloudFormation | Linux, Kubernetes, Docker |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Cloud).
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 Serverless Framework
- YAML configuration
- Single command deployment
- Extensible plugin ecosystem
- Multi-language support
- Unified dashboard
- Built-in metrics and alerts
Only in Jaeger
- Distributed trace search
- Dependency graph
- Adaptive sampling
- Pluggable storage
What people use each for
The jobs each tool is most often brought in to do.
Serverless Framework
- Deploying APIs and microservices to AWS Lambdanot Jaeger
- Building event-driven applications with serverless functionsnot Jaeger
- Managing multi-language serverless projectsnot Jaeger
Jaeger
- Finding which service in a request path causes the latencynot Serverless Framework
- Understanding real service dependencies rather than the diagram on the wikinot Serverless Framework
- Debugging failures that only appear under production traffic patternsnot Serverless Framework
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Serverless Framework
- Exclusive to AWS Lambda - no support for other cloud providers
- Paid tier requires credit system that can be confusing for budgeting
- Plugin ecosystem quality varies significantly
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
Pricing, plan by plan
Serverless Framework
Free- FreeFree
- For organizations with under $2M annual revenue
- All Framework features included
- Pay-As-You-Go$4/credit
- 1 credit = 1 Service Instance or 50K Traces or 4M Metrics
- Standard rate for larger organizations
- Reserved Credits$1/credit
- Discounts up to 74% off (1-year), 77% off (2-year), 80% off (3-year)
- Additional 10% off for upfront payment
Jaeger
Free- JaegerFree
- Full functionality
- No usage limits
- Community support
Which should you pick?
Choose Serverless Framework if
- You need yaml configuration.
- You want to start without paying.
- You work on AWS Lambda, AWS API Gateway, AWS CloudFormation.
- You also want single command deployment.
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.
Questions people ask
- Is Serverless Framework or Jaeger better?
- Neither clearly leads. Serverless Framework starts at Free and Jaeger at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Serverless Framework or Jaeger?
- Serverless Framework starts at Free and Jaeger at Free.
- Does Serverless Framework or Jaeger run on more platforms?
- Serverless Framework runs on AWS Lambda, AWS API Gateway, AWS CloudFormation. Jaeger runs on Linux, Kubernetes, Docker.
- Can I use Serverless Framework for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Serverless Framework best used for?
- Serverless Framework is most often used for deploying apis and microservices to aws lambda, building event-driven applications with serverless functions, managing multi-language serverless projects. Of those, deploying apis and microservices to aws lambda and building event-driven applications with serverless functions are not what Jaeger is typically brought in for.
- What can Serverless Framework do that Jaeger cannot?
- Serverless Framework covers YAML configuration, Single command deployment, Extensible plugin ecosystem, Multi-language support. Jaeger covers Distributed trace search, Dependency graph, Adaptive sampling, Pluggable storage.
Answered from the vendors’ own pages
Serverless Framework: When do I have to pay for Serverless Framework?
The Serverless Framework CLI v4+ is free for organizations earning under $2 million annually. Organizations earning more must purchase credits at $4 per credit standard rate or reserved credits starting at $1 per credit with volume discounts.
SourceJaeger: Is Jaeger free?
Yes, open source and CNCF-graduated. Costs are the storage backend you run.
Serverless Framework: What cloud providers does Serverless Framework support?
Serverless Framework is exclusive to AWS Lambda. It does not support other cloud providers like Azure or Google Cloud.
SourceJaeger: Do I use Jaeger or OpenTelemetry?
Both, usually. Instrument with OpenTelemetry and use Jaeger to store and query the traces.
Serverless Framework: What does one credit cover?
One credit equals 1 Service Instance, 50,000 Traces, or 4 Million Metrics.
SourceJaeger: Does Jaeger handle metrics and logs?
No. It is a tracing system. Metrics and logs need Prometheus, Loki or an equivalent.
Related pages
More on Serverless Framework
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