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@anjali shared a link, 8 months, 1 week ago
Customer Marketing Manager, Last9

A Practical Guide to Python Application Performance Monitoring(APM)

Monitor, debug, and optimize Python apps in production with APM—track transactions, DB queries, errors, and external calls.

python_apm
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@idjuric660 shared a post, 8 months, 1 week ago
Technical Content Writer, Mailtrap

How to Send Emails from Supabase using SMTP or Email API

Whether you’re confirming user signups, sending notifications, or automating workflows, Supabase makes it easy to integrate and send emails with SMTP or third-party APIs. And in this guide, I’ll walk you through every step of the process, including: - Sending emails using Supabase Auth[click here to..

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@anjali shared a link, 8 months, 1 week ago
Customer Marketing Manager, Last9

APM Logs: How to Get Started for Faster Debugging

Understand how APM logs connect metrics, traces, and events to speed up debugging and uncover root causes faster.

Prometheus_resource_attributes
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@anjali shared a link, 8 months, 1 week ago
Customer Marketing Manager, Last9

OpenTelemetry API vs SDK: Understanding the Architecture

Understand how the OpenTelemetry API and SDK work together, clean instrumentation in code, and flexible data processing in configuration.

Otel_injector
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@anjali shared a link, 8 months, 1 week ago
Customer Marketing Manager, Last9

What is Database Monitoring

Database monitoring tracks performance, health, and availability, helping detect issues early and maintain optimal operations.

Db_monitoring
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@laura_garcia shared a post, 8 months, 1 week ago
Software Developer, RELIANOID

🔒 Incident Response in 2025: Lessons Learned

June–August 2025 brought a surge in high-profile cyber incidents—from UNFI’s food supply disruption and Qantas’ customer data breach to sector-wide attacks on insurers. At the same time, AI-powered detection and new resilience features showed how fast response capabilities are evolving. At RELIANOID..

Incident Response june, july, august 2025
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@idjuric660 shared a post, 8 months, 1 week ago
Technical Content Writer, Mailtrap

Send Emails with Windsurf and Mailtrap

Node.js Mailtrap.io

Learn how to seamlessly integrate Mailtrap with Windsurf to send transactional emails using simple AI prompts.

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@laura_garcia shared a post, 8 months, 1 week ago
Software Developer, RELIANOID

Japan Ushers in a New Era of Cybersecurity with the Active Cyberdefence Law

Japan has taken a bold step in reshaping its national cybersecurity posture with the new Active Cyberdefence Law (ACD) — a proactive response to the growing wave of cyber threats affecting critical infrastructure, airlines, and financial institutions. 🚨 Key highlights of the ACD Law: Legal authority..

Japan's Active Cyberdefence Law
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@laura_garcia shared a post, 8 months, 2 weeks ago
Software Developer, RELIANOID

🚀 Introduction to NFV

Network Functions Virtualization (NFV) is transforming networking by moving critical functions like firewalls, routers, and load balancers from specialized hardware into software running on standard servers. This shift brings flexibility, scalability, and cost efficiency, enabling organizations to a..

kb NFV Network functions virtualization
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@laura_garcia shared a post, 8 months, 2 weeks ago
Software Developer, RELIANOID

🌐 ISO/IEC 27001 Compliance Alignment at RELIANOID

At RELIANOID, security isn’t just a feature—it’s part of our foundation. Both our organization and load balancing platform are strongly aligned with the ISO/IEC 27001:2022 ISMS framework and its Annex A controls. This means our clients in finance, healthcare, public sector, and enterprise environmen..

iso27001 image ssnn
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.