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Course
@eon01 published a course, 1ย month, 2ย weeks ago
Founder, FAUN.dev

Cloud Native CI/CD with GitLab

GitLab GitLab CI/CD Helm Prometheus Docker GNU/Linux Kubernetes

From Commit to Production Ready

Cloud Native CI/CD with GitLab
Course
@eon01 published a course, 1ย month, 2ย weeks ago
Founder, FAUN.dev

Observability with Prometheus and Grafana

Prometheus Docker k3s Grafana GNU/Linux Kubernetes

A Complete Hands-On Guide to Operational Clarity in Cloud-Native Systems

Observability with Prometheus and Grafana
Course
@eon01 published a course, 1ย month, 2ย weeks ago
Founder, FAUN.dev

Cloud-Native Microservices With Kubernetes - 2nd Edition

Helm Jaeger OpenTelemetry Prometheus Docker Grafana Loki Grafana Kubernetes Kubectl

A Comprehensive Guide to Building, Scaling, Deploying, Observing, and Managing Highly-Available Microservices in Kubernetes

Cloud-Native Microservices With Kubernetes - 2nd Edition
Course
@eon01 published a course, 1ย month, 2ย weeks ago
Founder, FAUN.dev

Building with GitHub Copilot

GitHub Copilot Go Python

From Autocomplete to Autonomous Agents

Building with GitHub Copilot
Link
@anjali shared a link, 1ย month, 2ย weeks ago
Customer Marketing Manager, Last9

Instrument Jenkins With OpenTelemetry

Instrument Jenkins with OpenTelemetry to understand pipeline behavior, stage latency, and deploy steps using a single telemetry flow.

Otel_injector
ย Activity
@devopslinks added a new tool Fleet , 1ย month, 2ย weeks ago.
ย Activity
@kaptain added a new tool Rancher Kubernetes Engine (RKE2) , 1ย month, 2ย weeks ago.
Course
@eon01 published a course, 1ย month, 2ย weeks ago
Founder, FAUN.dev

End-to-End Kubernetes with Rancher, RKE2, K3s, Fleet, Longhorn, and NeuVector

Rancher Longhorn Rancher Kubernetes Engine (RKE2) Rancher Kubernetes Engine (RKE) Fleet NeuVector k3s GNU/Linux Docker Traefik Kubectl

The full journey from nothing to production

End-to-End Kubernetes with Rancher, RKE2, K3s, Fleet, Longhorn, and NeuVector
Story
@laura_garcia shared a post, 1ย month, 3ย weeks ago
Software Developer, RELIANOID

๐Ÿ”ฅ ๐—•๐—น๐—ฎ๐—ฐ๐—ธ ๐—™๐—ฟ๐—ถ๐—ฑ๐—ฎ๐˜† ๐—ฎ๐˜ ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐——: ๐—˜๐˜…๐—ฐ๐—น๐˜‚๐˜€๐—ถ๐˜ƒ๐—ฒ ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ผ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—”๐—ฟ๐—ฒ ๐—Ÿ๐—ถ๐˜ƒ๐—ฒ! ๐Ÿ”ฅ

This year, weโ€™re taking Black Friday to the next level โ€” with ๐˜๐—ฎ๐—ถ๐—น๐—ผ๐—ฟ๐—ฒ๐—ฑ ๐—ฝ๐—ฟ๐—ผ๐—บ๐—ผ๐˜๐—ถ๐—ผ๐—ป๐˜€ designed specifically for our users, partners, and customers, who will receive their ๐—ฒ๐˜…๐—ฐ๐—น๐˜‚๐˜€๐—ถ๐˜ƒ๐—ฒ ๐—ผ๐—ณ๐—ณ๐—ฒ๐—ฟ ๐—ฑ๐—ถ๐—ฟ๐—ฒ๐—ฐ๐˜๐—น๐˜† tomorrow, perfectly matched to their environment โžก๏ธ ๐ŸŽ ๐—–๐˜‚๐˜€๐˜๐—ผ๐—บ๐—ถ๐˜‡๐—ฒ๐—ฑ ๐—ข๐—ณ๐—ณ๐—ฒ๐—ฟ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—˜๐˜ƒ๐—ฒ๐—ฟ๐˜† ๐—ก๐—ฒ๐—ฒ๐—ฑ. ๐Ÿš€ ๐——๐—ผ ๐˜†๐—ผ๐˜‚ ๐˜„๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—ธ๐—ป๐—ผ..

Story
@thiagoterzi shared a post, 1ย month, 3ย weeks ago
CEO, dgt27

Overcoming Data Duplication in CRM Systems

Learn how to prevent and resolve CRM data duplication using automation, AI tools, and smart integrations like Marketo Salesforce integration to maintain cleaner data.

Overcoming Data Duplication in CRM Systems
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.