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@david6983 started using tool Argo CD , 2 days, 8 hours ago.

Story

@laura_garcia shared a post, 2 days, 10 hours ago

Software Developer, RELIANOID

𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗿𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝘁𝗵𝗲 𝘁𝗿𝘂𝗲 𝗰𝗼𝘀𝘁 𝗼𝗳 𝗱𝗼𝘄𝗻𝘁𝗶𝗺𝗲

🎉 We're honored to be featured in this excellent article on one of today's most important topics: 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗿𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝘁𝗵𝗲 𝘁𝗿𝘂𝗲 𝗰𝗼𝘀𝘁 𝗼𝗳 𝗱𝗼𝘄𝗻𝘁𝗶𝗺𝗲. It's always rewarding to see industry experts recognize the critical role that intelligent application delivery, high availability, and resilient tr..

Story Keploy Team

@sancharini shared a post, 3 days, 4 hours ago

Building Production-Ready Pipelines with Open Source Automation Tools: Real Patterns That Work

Learn the patterns that separate production-ready pipelines from those that fail. How experienced teams use open source automation tools effectively.

Open Source Automation Tools Modern Engineering Teams Are Building Pipelines Around

Story

@laura_garcia shared a post, 5 days, 14 hours ago

Software Developer, RELIANOID

Network Load Balancer

🌐 𝘎𝘳𝘦𝘢𝘵 𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦 𝘴𝘵𝘢𝘳𝘵𝘴 𝘸𝘪𝘵𝘩 𝘪𝘯𝘵𝘦𝘭𝘭𝘪𝘨𝘦𝘯𝘵 𝘵𝘳𝘢𝘧𝘧𝘪𝘤 𝘥𝘪𝘴𝘵𝘳𝘪𝘣𝘶𝘵𝘪𝘰𝘯. A 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿 helps organizations maximize availability, eliminate bottlenecks, and keep critical applications running smoothly—even under heavy traffic or unexpected failures. In our latest article, we explain how Layer 4 l..

Story

@laura_garcia shared a post, 6 days, 11 hours ago

Software Developer, RELIANOID

SOC2 compliance

🔐 𝗦𝗢𝗖 𝟮 alignment is about trust, resilience, and doing security right by design. At 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗, our load balancing and application delivery platform is aligned with the 𝗦𝗢𝗖 𝟮 𝗧𝗿𝘂𝘀𝘁 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗖𝗿𝗶𝘁𝗲𝗿𝗶𝗮—𝗰𝗼𝘃𝗲𝗿𝗶𝗻𝗴 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆, 𝗖𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝘁𝗶𝗮𝗹𝗶𝘁𝘆, 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗜𝗻𝘁𝗲𝗴𝗿𝗶𝘁𝘆, 𝗮𝗻𝗱 𝗣𝗿𝗶𝘃𝗮𝗰𝘆. From encryption ..

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@kevin-faun started using tool BOOM , 6 days, 13 hours ago.

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@goutham-annem started using tool vLLM , 6 days, 19 hours ago.

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@goutham-annem started using tool Kubernetes , 6 days, 19 hours ago.

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@goutham-annem started using tool Istio , 6 days, 19 hours ago.

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@goutham-annem started using tool GPT-5.3-Codex , 6 days, 19 hours ago.

LangChain is a modular framework designed to help developers build complex, production-grade applications that leverage large language models. It abstracts the underlying complexity of prompt management, context retrieval, and model orchestration into reusable components. At its core, LangChain introduces primitives like Chains, Agents, and Tools, allowing developers to sequence model calls, make decisions dynamically, and integrate real-world data or APIs into LLM workflows.

LangChain supports retrieval-augmented generation (RAG) pipelines through integrations with vector databases, enabling models to access and reason over large external knowledge bases efficiently. It also provides utilities for handling long-term context via memory management and supports multiple backends like OpenAI, Anthropic, and local models.

Technically, LangChain simplifies building LLM-driven architectures such as chatbots, document Q&A systems, and autonomous agents. Its ecosystem includes components for caching, tracing, evaluation, and deployment, allowing seamless movement from prototype to production. It serves as a foundational layer for developers who need tight control over how language models interact with data and external systems.