Qdrant Deployment Options
Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment types for a new project.
MCP get_skill({ skillId: "which-qdrant-deployment-do-i-need-8ebd8b34" })Use this skill with your agent
Create a free account and connect via MCP
# Which Qdrant Deployment Do I Need? Start with what you need: managed ops or full control? Network latency acceptable or not? Production or prototyping? The answer narrows to one of four options. ## Getting Started or Prototyping Use when: building a prototype, running tests, CI/CD pipelines, or learning Qdrant. - Use local mode (Python only): zero-dependency, in-memory or disk-persisted, no server needed [Local mode](https://search.qdrant.tech/md/documentation/quickstart/) - Local mode data format is NOT compatible with server. Do not use for production or benchmarking. - For a real server locally, use Docker [Quick start](https://search.qdrant.tech/md/documentation/quickstart/?s=download-and-run) ## Going to Production (Self-Hosted) Use when: you need full control over infrastructure, data residency, or custom configuration. - Docker is the default deployment. Full Qdrant Open Source feature set, minimal setup. [Quick start](https://search.qdrant.tech/md/documentation/quickstart/?s=download-and-run) - You own operations: upgrades, backups, scaling, monitoring - Must set up distributed mode manually for multi-node clusters [Distributed deployment](https://search.qdrant.tech/md/documentation/operations/distributed_deployment/) - Consider Hybrid Cloud if you want Qdrant Cloud management on your infrastructure [Hybrid Cloud](https://search.qdrant.tech/md/documentation/hybrid-cloud/) ## Going to Production (Zero-Ops) Use when: you want managed infrastructure with zero-downtime updates, automatic backups, and resharding without operating clusters yourself. - Qdrant Cloud handles upgrades, scaling, backups, and monitoring [Qdrant Cloud](https://search.qdrant.tech/md/documentation/cloud-quickstart/) - Supports multi-version upgrades automatically - Provides features not available in self-hosted: `/sys_metrics`, managed resharding, pre-configured alerts ## Need Lowest Possible Latency Use when: network round-trip to a server is unacceptable. Edge devices, in-process search, or latency-critical applications. - Qdrant EDGE: in-process bindings to Qdrant shard-level functions, no network overhead [Qdrant EDGE](https://search.qdrant.tech/md/documentation/edge/edge-quickstart/) - Same data format as server. Can sync with server via shard snapshots. - Single-node feature set only. No distributed mode. ## What NOT to Do - Use local mode for production or benchmarking (not optimized, incompatible data format) - Self-host without monitoring and backup strategy (you will lose data or miss outages) - Choose EDGE when you need distributed search (single-node only) - Pick Hybrid Cloud unless you have data residency requirements (unnecessary Kubernetes complexity when Qdrant Cloud works)
Related Skills
More skills in DevOps & Cloud
1password Skill
1password Skill linked from Juliano Barbosa Claude Code Skills, with the upstream skill instructions available on GitHub.
Actions Manager
GitHub Actions command center -- view workflow runs, read logs, re-run failed jobs, manage workflows, and debug CI failures entirely from the editor. Bypasses the deeply nested, visually-dependent Actions UI that is largely inaccessible to screen readers.
Airunway Aks Setup
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
Alz Accelerator
Deploy Azure Landing Zones using the ALZ Accelerator with AVM (Azure Verified Modules). Use this skill whenever the user mentions Azure Landing Zones, ALZ, Azure landing zone accelerator, AVM modules for landing zones, deploying management groups, hub-and-spoke networking, Virtual WAN, platform landing zones, or asks about Bicep vs Terraform for Azure infrastructure. Also trigger when the user wants to bootstrap CI/CD for Azure platform deployment, set up management groups hierarchy, or deploy connectivity/identity/management platform subscriptions.
Alz Accelerator Skill
Alz Accelerator Skill linked from Juliano Barbosa Claude Code Skills, with the upstream skill instructions available on GitHub.
Ansible Conventions and Best Practices
Ansible conventions and best practices
Explore Other Categories
Skills from other categories with shared topics
Qdrant Scaling
Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.
Qdrant Clients SDK
Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.
Qdrant Monitoring
Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, Grafana, or health checks. Also use when debugging production issues that require metric analysis.