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@faun shared a link, 1 year ago
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10 Open Source Kubernetes Security Tools 2025

A wild440%spike in Kubernetes vulnerabilities over five years calls for open-source security tools that actually get the job done. Still, half of the organizations feel like they're playing catch-up trying to lock it down. Enter tools likeFalcoandIstio. Falco sniffs out runtime anomalies while Istio.. read more  

10 Open Source Kubernetes Security Tools 2025
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@faun shared a link, 1 year ago
FAUN.dev()

High Available Mosquitto MQTT on Kubernetes

Running a Kubernetes-nativeMQTT brokerwith Eclipse Mosquitto cuts downtime to a mere5 seconds. Compare that to the usual 5-minute snooze. This feat involves Traefik sorcery and a custom failover rig. Uninterrupted message flow? Check. Real-time state? Handled with message bridges that practically da.. read more  

High Available Mosquitto MQTT on Kubernetes
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@abc_01 shared a link, 1 year ago

The Evolution of String Handling in Java: From Legacy to Lambdas

The Evolution of String Handling in Java: From Legacy to Lambdas
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@abc_01 shared a link, 1 year ago

The Evolution of String Handling in Java: From Legacy to Lambdas

Hey, ever stopped to think about how Java handles all the text we throw at it every day? Well, get ready for a wild ride through the evolution of Java string handling! It’s a journey packed with performance secrets and clever tricks, I promise! 😉 Seriously, did you know a modern string can take upha.. read more  

The Evolution of String Handling in Java: From Legacy to Lambdas
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@arshadmas shared a post, 1 year ago
Product Marketer, manageengine

Challenges in synthetic monitoring

Synthetic monitoring is a vital technique used to replicate user actions on a website or application in order to evaluate speed, availability, and functionality. It plays a crucial role in helping organizations maintain a seamless online presence and deliver a flawless user experience. However, desp..

Story
@laura_garcia shared a post, 1 year ago
Software Developer, RELIANOID

🚨 Critical Infrastructure Under Cyber Threat

Nova Scotia Power recently suffered a major data breach, impacting customer data and disrupting essential services like billing and online access for over half a million people. These attacks are not just IT issues — they're national resilience issues. At RELIANOID, we help utility providers and cri..

Blog Canadian data breach
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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9

Windows Error Logs: Your Guide to Simplified Debugging

Windows error logs hold clues to what’s going wrong. Learn how to read them and make debugging faster and less frustrating.

api metrics dashboard
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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9

Kubernetes Logs: How to Collect and Use Them

Understand how to collect, manage, and troubleshoot Kubernetes logs to keep your applications running smoothly and issues easy to debug.

log consolidation
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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9

Docker Container Lifecycle: Key States and Best Practices

Explore the key stages of the Docker container lifecycle and learn best practices to manage containers efficiently and reliably.

Docker metrics
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@laura_garcia shared a post, 1 year ago
Software Developer, RELIANOID

🚀 BeDIGITAL 2025 – We’re heading to Bilbao! 🇪🇸

From June 3–5, RELIANOID will be at BeDIGITAL 2025, the key event for driving industrial digital transformation. 🔹 Live demos 🔹 Real-world use cases 🔹 Powerful networking 🔹 Part of +INDUSTRY, Spain’s biggest smart manufacturing showcase 📍 Let’s connect in Bilbao and explore how RELIANOID’s networkin..

bedigital bilbao 2025 relianoid
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.