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Managed Langfuse Hosting
LLM observability, tracing, and analytics
What is Langfuse on ManageStacks?
Langfuse is an open-source LLM engineering platform for tracing, evaluating, and monitoring AI applications. ManageStacks deploys Langfuse with persistent storage, automated backups, and pre-configured dashboards.
Langfuse is an open-source LLM engineering platform for tracing, evaluating, and monitoring AI applications. ManageStacks deploys Langfuse with persistent storage, automated backups, and pre-configured dashboards.
Last updated Official siteSource on GitHubDocumentation
About Langfuse
What Langfuse does, and why teams deploy it.
Langfuse is an open-source observability and analytics platform purpose-built for LLM applications. It provides end-to-end tracing of LLM calls, prompt management, evaluation pipelines, and cost tracking across your AI stack. Langfuse integrates with LangChain, LlamaIndex, OpenAI SDK, and other popular frameworks.
With Langfuse, engineering teams gain visibility into latency, token usage, cost, and quality metrics for every LLM interaction. Its prompt management system enables version-controlled prompt iteration, and its evaluation framework supports both automated scoring and human review workflows.
DIY vs ManageStacks
What running Langfuse yourself looks like — and what it looks like with us.
DIY self-hosting
- Instrument LLM calls with print statements or custom logging; lose traces when pods recycle
- Build per-provider cost tracking with spreadsheets and API billing dashboards
- Version prompts in Git with no runtime swap or A/B testing capability
- Write custom evaluation scripts for every new LLM feature and run them ad-hoc
- Correlate latency regressions across LLM chains manually from scattered logs
On ManageStacks
- Subscribe through your AWS, Azure, or GCP marketplace
- Langfuse deploys with PostgreSQL, Redis, and automated SSL — traces flow in via SDK or OpenTelemetry
- Prompt management with version control and runtime deployment baked in
- Evaluation pipelines with custom scoring, human review, and dataset benchmarks ready out of the box
- Cost, latency, and quality dashboards per model, feature, and user segment — no spreadsheet needed
Langfuse on ManageStacks — key numbers
$29/mo
Flat per instance — no per-trace or per-seat pricing
Sub-second
Trace ingestion latency with async SDK instrumentation
Full audit trail
Every LLM call, prompt version, and evaluation result persisted
Key features
Everything Langfuse ships with, running on our stack.
- End-to-end tracing for LLM chains and agents
- Prompt management with version control
- Cost and latency analytics per model and feature
- Evaluation framework with custom scoring functions
- Integration with LangChain, LlamaIndex, and OpenAI
- Dataset management for testing and benchmarking
How it deploys
From subscribe to live in minutes.
Subscribe
Subscribe to ManageStacks through your AWS, Azure, or GCP marketplace.
Provision
Langfuse spins up with PostgreSQL, Redis, and automated SSL — typically under 4 minutes.
Instrument
Add the Langfuse Python or JS SDK to your application, or route via LiteLLM/LangChain native integration. Traces start appearing immediately.
Iterate
Use prompt management for versioned rollouts, build evaluation datasets, and set up cost alerts per team or feature.
Who this is for
Built for teams that want Langfuse to just work.
AI engineering teams shipping LLM features
You have 5-20 LLM-powered features in production and need unified tracing, cost attribution, and quality scoring across all of them. Langfuse is purpose-built for this.
ML platform teams standardizing observability
Different squads use different LLM providers and frameworks. Langfuse gives you one tracing layer across OpenAI, Anthropic, Bedrock, and self-hosted models — centralized on your infrastructure.
Regulated industries running AI workloads
Trace data, prompts, and evaluation results cannot leave your cloud. Langfuse on ManageStacks keeps everything in your AWS, Azure, or GCP region.
Compliance & compatibility
What we handle, what Langfuse runs on.
Compliance & operations
- TLS-encrypted API and dashboard traffic
- All trace data, prompts, and evaluation datasets stay in your cloud region
- GDPR data-residency — deployment confined to your chosen region
- Role-based access control for projects and prompt management
- OS-level and Langfuse security patches applied during your maintenance window
- Daily automated backups of PostgreSQL trace database
Compatibility
- Version
- Latest Langfuse stable (validated before each upgrade)
- Runtime
- Node.js + Python workers on containerized infrastructure
- Dependencies
- PostgreSQL 14+, Redis 7, S3-compatible blob storage
- Min. resources
- 2 vCPU / 4 GB RAM (dedicated); scale with trace volume
How ManageStacks helps
We handle the parts you shouldn't be writing yourself.
ManageStacks deploys Langfuse with PostgreSQL, Redis, and automated SSL so you get full LLM observability without managing infrastructure. Focus on improving your AI application quality while we handle uptime and backups.
How it compares
Langfuse on ManageStacks vs the alternatives.
How Langfuse on ManageStacks compares to the leading LLM observability platforms.
| Property | Langfuse on ManageStacksUs | LangSmith | Helicone | Datadog LLM Observability |
|---|---|---|---|---|
| Deployment | Managed on your AWS, Azure, or GCP | Vendor-hosted | Vendor-hosted or self-hosted | Vendor-hosted |
| Data residency | Your cloud region | Vendor infrastructure | Vendor or your infra | Vendor infrastructure |
| Pricing basis | Flat $29/mo per instance | Per seat + per trace tier | Per log event tier | Per host + per span |
| Prompt management | Built-in with versioning | Prompt playground | No (proxy-focused) | No |
| Open source | Yes (MIT) | No (proprietary) | Yes (Apache 2.0) | No (proprietary) |
| Eval framework | Built-in with custom scorers | Online evals + datasets | Limited (request-level analytics) | Partial (trace-level) |
Comparison focuses on architectural properties (deployment model, pricing basis, open-source status) that don't change with vendor pricing pages. Verify current pricing on each vendor's own site.
FAQ
Common questions about Langfuse on ManageStacks.
What LLM frameworks does Langfuse on ManageStacks integrate with?
Langfuse integrates with LangChain, LlamaIndex, OpenAI SDK, LiteLLM, and Vercel AI SDK via native integrations. Any other framework can send traces using the Langfuse REST API or Python/JS SDKs.
Can I use Langfuse for prompt versioning on ManageStacks?
Yes. Langfuse includes a prompt management system where you can store, version, and deploy prompts. Your application pulls the active prompt version at runtime, enabling A/B testing and rollback.
How does ManageStacks handle Langfuse trace data retention?
ManageStacks provisions Langfuse with a PostgreSQL database and configurable retention policies. Automated daily backups ensure your trace data and evaluation results are protected.
Deploy Langfuse in under 5 minutes.
Subscribe through your AWS, Azure, or GCP marketplace. We handle provisioning, SSL, monitoring, backups, updates, and security. From $29/app/month.