# Learn on Tailscale Recent learn articles from Tailscale This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Securely connect Claude Code to Redis via MCP DevFeed: [Securely connect Claude Code to Redis via MCP]() Original publisher: [Read original article]() Published: 2026-04-13T13:39:49Z Content type: tutorial Language: en Sources: [Learn on Tailscale]() Topics: [Redis](), [Claude Code](), [Model Context Protocol](), [Access Control](), [audit](), [codex](), [cursor]() Tags: [access-control](), [audit](), [claude-code](), [codex](), [cursor](), [mcp](), [redis]() ### AI overview This tutorial explains how to connect Claude Code and other AI coding clients to Redis through the official Redis MCP server. It covers setup, supported Redis operations, client configuration, credential management, network access, permission scoping, and audit practices for staging and production. ### Source excerpt Set up Redis MCP for Claude Code, Cursor, Codex fast, and see how to handle credentials, access control, and audit trails. ## Securely connect Claude Code to ClickHouse via MCP DevFeed: [Securely connect Claude Code to ClickHouse via MCP]() Original publisher: [Read original article]() Published: 2026-04-13T13:32:25Z Content type: tutorial Language: en Sources: [Learn on Tailscale]() Topics: [clickhouse](), [Claude Code](), [Model Context Protocol (MCP)](), [Access Control](), [audit]() Tags: [access-control](), [article](), [audit](), [claude-code](), [clickhouse](), [how-to](), [mcp]() ### AI overview This tutorial explains how to connect Claude Code to ClickHouse through MCP and compares local, ClickHouse Cloud remote, and self-managed private-gateway deployment patterns. It also discusses credential handling, access control, and query audit trails for broader or production use. ### Source excerpt Set up ClickHouse MCP for Claude Code, Cursor, Codex fast, and see how to handle credentials, access control, and audit trails. ## Securely connect Claude Code to Postgres via MCP DevFeed: [Securely connect Claude Code to Postgres via MCP]() Original publisher: [Read original article]() Published: 2026-04-13T13:24:20Z Content type: tutorial Language: en Sources: [Learn on Tailscale]() Topics: [Model Context Protocol](), [Claude Code](), [Database](), [Access Control](), [audit]() Tags: [access-control](), [audit](), [claude-code](), [codex](), [cursor](), [health-checks](), [mcp](), [oauth](), [postgres](), [rate-limiting]() ### AI overview A practical guide to connecting Claude Code, Cursor, and Codex to Postgres through MCP. It covers quick local setup, comparing Postgres MCP servers, and securing team or production deployments with least-privilege credentials, environment variables, access controls, audit trails, and related governance features. ### Source excerpt Set up Postgres MCP for Claude Code, Cursor, Codex fast, and see how to handle credentials, access control, and audit trails. ## Securely troubleshoot Kubernetes clusters with Claude Code and MCP DevFeed: [Securely troubleshoot Kubernetes clusters with Claude Code and MCP]() Original publisher: [Read original article]() Published: 2026-04-13T13:05:11Z Content type: tutorial Language: en Sources: [Learn on Tailscale]() Topics: [Kubernetes](), [Model Context Protocol](), [Claude Code](), [MCP Server](), [Authorization](), [observability]() Tags: [access-control](), [claude-code](), [cli](), [codex](), [commands](), [cursor](), [gitops](), [helm-charts](), [kubernetes](), [mcp](), [observability](), [opentelemetry]() ### AI overview A practical guide to connecting Claude Code and other MCP-compatible clients to Kubernetes through an MCP server. It compares server implementations and explains operational safeguards including RBAC scoping, context pinning, observability, non-destructive mode, and secrets masking. ### Source excerpt Set up Kubernetes MCP for Claude Code, Cursor, Codex fast, and see how to handle credentials, access control, and audit trails. ## Zero Trust VPN and networking guide for business security teams DevFeed: [Zero Trust VPN and networking guide for business security teams]() Original publisher: [Read original article]() Published: 2025-09-23T18:03:01Z Content type: tutorial Language: en Sources: [Learn on Tailscale]() Topics: [zero trust networking](), [Virtual Private Network](), [Security](), [Business Security](), [tailscale](), [Authorization](), [Single sign-on (SSO)](), [okta](), [Google](), [Microsoft]() Tags: [authorization](), [entra-id](), [google](), [implementation](), [networking](), [okta](), [security](), [teams](), [vpn](), [zero-trust]() ### AI overview This guide explains Zero Trust networking as an approach that verifies users and devices for each access request, applies least privilege and segmentation, and limits lateral movement. It compares this model with traditional VPN access and describes how Tailscale uses identity, device posture, authorization, SSO, and SSH features to support Zero Trust principles. ### Source excerpt Learn how Zero Trust works and why it beats traditional VPNs for business security. Get implementation tips, compare solutions, and discover how to limit access without killing productivity. ## How Tailscale simplifies site-to-site VPN connections DevFeed: [How Tailscale simplifies site-to-site VPN connections]() Original publisher: [Read original article]() Published: 2025-09-23T17:57:09Z Content type: tutorial Language: en Sources: [Learn on Tailscale]() Topics: [Virtual Private Network](), [tailscale](), [networking](), [cloud-infrastructure](), [Security](), [Routing (disambiguation)]() Tags: [aws](), [azure](), [cloud-infrastructure](), [firewall](), [hybrid](), [networking](), [networks](), [tailscale](), [vpn]() ### AI overview This article explains how site-to-site VPNs securely connect separate offices, cloud environments, and on-premises networks. It compares traditional IPSec-based configurations with Tailscale's mesh networking and subnet routing approach. ### Source excerpt Learn how site-to-site VPNs connect offices and cloud networks securely. Compare traditional setups vs modern solutions that eliminate firewall configs and IP conflicts for good. ## How to choose a business VPN DevFeed: [How to choose a business VPN]() Original publisher: [Read original article]() Published: 2025-09-23T17:52:03Z Content type: tutorial Language: en Sources: [Learn on Tailscale]() Topics: [Virtual Private Network](), [tailscale](), [networking](), [Encryption](), [MFA](), [Single sign-on (SSO)](), [Logging](), [health checks](), [remote access]() Tags: [authentication](), [encryption](), [health-checks](), [how-to](), [logging](), [mfa](), [networking](), [remote-access](), [vpn]() ### AI overview This guide explains how to evaluate a business VPN, covering remote-access and site-to-site models, protocol support, identity integration, logging, encryption, SSO, MFA, device posture checks, and least-privilege policies. It presents Tailscale's peer-to-peer, identity-based approach as a way to avoid VPN backhaul bottlenecks and overly broad network access. ### Source excerpt Learn how to choose a business VPN that actually works for real teams. Cut through the noise and find secure, simple solutions that won't create headaches six months later. ## Artificial Intelligence in Network Management: Benefits and Adoption Challenges DevFeed: [Artificial Intelligence in Network Management: Benefits and Adoption Challenges]() Original publisher: [Read original article]() Published: 2025-04-01T00:16:58Z Content type: article Language: en Sources: [Learn on Tailscale]() Topics: [Artificial Intelligence](), [Network](), [networking](), [Monitoring](), [Human-AI evaluation]() Tags: [ai](), [anomaly-detection](), [artificial-intelligence](), [data-quality](), [monitoring](), [network](), [networking](), [privacy]() ### AI overview The article explains how artificial intelligence and machine learning can automate network operations, detect anomalies, improve reliability, and support capacity planning. It also discusses adoption challenges including data privacy, skilled personnel, resistance to change, and data quality. ### Source excerpt Artificial intelligence (AI) companies are a lot like other networking companies in that they need a management solution to solve challenges across production and dev environments. ## Best Pastebin Alternatives for Secure Text (or Code) Sharing in 2025 DevFeed: [Best Pastebin Alternatives for Secure Text (or Code) Sharing in 2025]() Original publisher: [Read original article]() Published: 2025-03-25T20:57:16Z Content type: comparison Language: en Sources: [Learn on Tailscale]() Topics: [Security](), [Encryption](), [End-to-End Encryption](), [passwords](), [web applications](), [tailscale]() Tags: [alternatives](), [article](), [code-sharing](), [encryption](), [running](), [security](), [syntax-highlighting]() ### AI overview This comparison examines Pastebin's use for sharing text and code, along with concerns about privacy, spam, malicious content, and feature limitations. It presents more secure alternatives that may offer encryption, password protection, or private sharing. ### Source excerpt Pastebin is an online platform for sharing, storing and managing text-based content, but has grown into a general-purpose tool or sharing plain text securely. The article addresses some concerns and alternative options to this service. ## OpenVPN vs. Cloudflare: Which is Best for Developer-Friendly Networking? DevFeed: [OpenVPN vs. Cloudflare: Which is Best for Developer-Friendly Networking?]() Original publisher: [Read original article]() Published: 2025-03-24T21:17:43Z Content type: comparison Language: en Sources: [Learn on Tailscale]() Topics: [Virtual Private Network](), [tailscale](), [Cloudflare](), [SASE](), [Security](), [Cloudflare Access](), [remote access]() Tags: [alternatives](), [cloudflare](), [cloudflare-access](), [encryption](), [remote-access](), [sase](), [security](), [tailscale](), [vpn]() ### AI overview This comparison examines OpenVPN, Cloudflare, and Tailscale for developer and engineering-team networking needs, including security, performance, remote access, and management. It describes OpenVPN as a traditional VPN requiring dedicated servers and manual configuration, Cloudflare Access as an identity-based Zero Trust alternative, and Tailscale as a WireGuard-based peer-to-peer approach for accessing internal resources. ### Source excerpt As VPN alternatives go, OpenVPN, Cloudflare and Tailscale each serve different networking priorities for developers, making the right choice dependent on security, performance, and management needs. ## Twingate vs. Zscaler: Which is Best for Distributed Teams? DevFeed: [Twingate vs. Zscaler: Which is Best for Distributed Teams?]() Original publisher: [Read original article]() Published: 2025-03-21T18:11:36Z Content type: comparison Language: en Sources: [Learn on Tailscale]() Topics: [tailscale](), [Virtual Private Network](), [ZTNA](), [Security](), [networking]() Tags: [authentication](), [compare](), [distributed](), [networking](), [performance](), [security](), [setup](), [teams]() ### AI overview A comparison of Twingate, Zscaler, and Tailscale for distributed teams, focusing on setup, ease of use, performance, and security. The supplied text highlights Tailscale's minimal deployment and peer-to-peer VPN architecture, Twingate's application-level access controls, and Zscaler's cloud-based security enforcement. ### Source excerpt Compare Twingate, Zscaler and Tailscale's ease of use and setup, performance, and security for distributed teams and the engineering organizations that support them. ## TPU vs. GPU: Differences in Performance, Applications, Cost, and Ecosystem DevFeed: [TPU vs. GPU: Differences in Performance, Applications, Cost, and Ecosystem]() Original publisher: [Read original article]() Published: 2025-03-11T23:10:26Z Content type: comparison Language: en Sources: [Learn on Tailscale]() Topics: [GPU](), [Artificial Intelligence](), [AI Infrastructure](), [Deep learning](), [Google](), [Google Cloud Platform (GCP)](), [High-Performance Computing](), [Neural Network]() Tags: [ai](), [applications](), [deep-learning](), [efficiency](), [google](), [google-cloud-platform](), [gpu](), [high-performance-computing](), [speed](), [tpu](), [vs]() ### AI overview This comparison explains how Google TPUs and GPUs differ in AI processing. TPUs are designed for high-speed, low-precision deep-learning computation on Google Cloud, while GPUs provide more flexible parallel processing and broad framework compatibility. ### Source excerpt Two key players dominate the efficiency and speed of AI applications: the Graphics Processing Unit (GPU) and the Tensor Processing Unit (TPU). Both have their strengths and weaknesses. ## What is AI Infrastructure? DevFeed: [What is AI Infrastructure?]() Original publisher: [Read original article]() Published: 2025-03-11T22:11:25Z Content type: article Language: en Sources: [Learn on Tailscale]() Topics: [AI Infrastructure](), [AI Platform](), [AI Development](), [Deployment]() Tags: [ai-infrastructure](), [ai-operations](), [deployment](), [infrastructure](), [software]() ### AI overview The article explains that AI infrastructure combines specialized hardware, software, networking, scalable storage, and data-management tools to support AI workloads. It also introduces strategies for improving processing and workflows while managing complexity and performance. ### Source excerpt AI infrastructure requires more than just high-speed networking solutions for rapid data transfer. Here we explore the advanced software tools, components and strategies advanced AI operations need to run efficiently. ## What Are Network Nodes? DevFeed: [What Are Network Nodes?]() Original publisher: [Read original article]() Published: 2025-03-05T00:25:00Z Content type: tutorial Language: en Sources: [Learn on Tailscale]() Topics: [networking](), [Networks](), [Routing (disambiguation)]() Tags: [network](), [networking](), [node](), [routing]() ### AI overview An explainer defining network nodes as physical or virtual devices or points that connect to a network. It describes end devices, network devices, data communication nodes, and telecommunication nodes and their roles in transmitting, receiving, routing, and processing data. ### Source excerpt Nodes can vary greatly depending on their role and the type of network they belong to. ## What is a Data Processing Agreement (DPA)? DevFeed: [What is a Data Processing Agreement (DPA)?]() Original publisher: [Read original article]() Published: 2025-03-04T22:53:17Z Content type: tutorial Language: en Sources: [Learn on Tailscale]() Topics: [data-processing](), [data]() Tags: [compliance](), [data-processing](), [data-protection](), [dpa](), [gdpr](), [legal]() ### AI overview A Data Processing Agreement (DPA) is a legally binding contract between a data controller and a data processor. It defines responsibilities for handling personal data, supports compliance with GDPR and other regulations, and is required when processing is outsourced to an external service provider. ### Source excerpt A Data Processing Agreement (DPA) defines how personal data is handled to make sure compliance is met and data protection laws are followed.