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@laura_garcia shared a post, 5 days, 20 hours ago

Software Developer, RELIANOID

How to Load Balance Navitaire

✈️ Airline platforms can't afford downtime. Discover how RELIANOID helps improve the availability, performance, and security of Navitaire environments with load balancing, high availability, SSL offloading, and advanced protection capabilities. Read the 3-minute guide. 👇 https://www.relianoid.com/re..

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@rafidbottler gave 🐾 to Android Architecture: Components, Patterns & Best Practices Guide , 5 days, 22 hours ago.

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@rafidbottler gave 🐾 to Artificial Intelligence vs Machine Learning: What's the Difference? , 5 days, 22 hours ago.

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@anjali5 shared a link, 6 days, 18 hours ago

How to Fix Developer Productivity at 50+ Engineers

You ship a feature. It works. A week later, someone asks why it's not in staging yet, and you realize it's behind an infrastructure request that's still in review. The ticket isn't urgent enough to escalate. It's also not small enough to ignore. So it waits.

That's what a developer productivity problem feels like at 50 engineers.

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@laura_garcia shared a post, 6 days, 18 hours ago

Software Developer, RELIANOID

AI Reliability Engineering: The New Era of SRE

🤖 As AI becomes part of critical business operations, reliability is no longer just an infrastructure concern. From latency and model drift to observability and trust, AI workloads introduce a new set of challenges for modern SRE teams. In our latest article, we look at how reliability engineering i..

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@pluto_native started using tool Terraform , 1 week, 2 days ago.

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@pluto_native started using tool Kubernetes , 1 week, 2 days ago.

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@pluto_native started using tool Google Cloud Platform , 1 week, 2 days ago.

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@pluto_native started using tool Amazon Web Services , 1 week, 2 days ago.

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@eon01 shared a link, 1 week, 2 days ago

Founder, FAUN.dev

A curated list of free AI models, APIs, and tools you can use without paying a cent.

Running AI shouldn't require a credit card. This list curates genuinely free models — open-weight models you can self-host, free API tiers from major providers, and tools to run everything locally.

FastMCP is an open-source Python framework designed to simplify the development of Model Context Protocol servers. It allows developers to define MCP components such as tools, resources, and prompts using decorators, and to organize them through a modular architecture built around providers and transforms. Providers determine where components originate, including local code, directories, OpenAPI specifications, or remote MCP servers. Transforms modify components as they flow to clients, enabling namespacing, filtering, versioning, and visibility control.

The framework supports component versioning, per-component authorization, and middleware for cross-cutting concerns such as authentication and logging. It includes a built-in command-line interface for listing, calling, discovering, and installing MCP servers. FastMCP also supports session-scoped state, background task execution, OpenTelemetry tracing, pagination for large component sets, and transport options including stdio and HTTP-based protocols.

FastMCP is intended for developers building agent-compatible backends and structured tool interfaces for large language model systems that implement the Model Context Protocol.