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Technologie, Architektur, KI, DevOps & Sicherheit

Praktische Artikel aus realen Projekten. Von Enterprise-Architektur bis KI-Agenten — wir teilen, was in Produktion funktioniert.

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EMPFOHLENE ARTIKEL

Building Your Own Enterprise AI Copilot — From Prototype to Production in 2026

How to build a custom AI Copilot for enterprise in 2026. A complete guide covering architecture, RAG pipeline,...

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Database Modernization in 2026 — NewSQL, Distributed Databases and Legacy System Migration

A complete guide to database modernisation in 2026. NewSQL databases (CockroachDB, YugabyteDB, TiDB), Vitess for...

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AI Code Review — how to automate code review in 2026

A practical guide to deploying AI tools for automated code review. From static analysis to LLM-based review, CI/CD...

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Angezeigt 20 von 506 Artikeln

26. 02. 2026devops

Kubernetes Cost Optimization: Jak ušetřit 40–60 % na cloud infrastruktuře v roce 2026

Praktický průvodce snižováním nákladů na Kubernetes v enterprise prostředí. Resource requests, autoscaling, spot...

26. 02. 2026ai

Model Context Protocol (MCP): How AI Agents Talk to Enterprise Systems

MCP from Anthropic is becoming the industry standard for connecting AI agents to enterprise systems. A practical...

22. 02. 2026ai

Building Your Own Enterprise AI Copilot — From Prototype to Production in 2026

How to build a custom AI Copilot for enterprise in 2026. A complete guide covering architecture, RAG pipeline,...

22. 02. 2026ai

Enterprise AI Copilot 2026: Jak AI agenti mění firemní infrastrukturu

AI copilot už není sci-fi — mění firemní workflow napříč odvětvími

21. 02. 2026security

Agentic AI and Security: A New Attack Surface for Enterprises in 2026

48% of security professionals identify agentic AI as the top attack vector for 2026. An analysis of risks — tool...

21. 02. 2026cloud

Platform Engineering: How the Internal Developer Portal Is Transforming Enterprise IT in 2026

Platform Engineering is transforming enterprise IT. Internal Developer Portals (IDP), self-service infrastructure,...

20. 02. 2026ai

MLOps Pipeline v produkci: Od experimentu k spolehlivému ML systému

Praktický průvodce stavbou MLOps pipeline pro produkční ML systémy. Feature store, model registry, CI/CD pro modely,...

20. 02. 2026development

Python in Production: Architecture, Performance and Best Practices for 2026

How to build production-grade Python applications in 2026. Architecture, typing, performance, testing, packaging and...

20. 02. 2026data

Real-time Streaming s Apache Kafka a Flink: Architektura pro 2026

Jak postavit produkční real-time streaming pipeline s Apache Kafka a Apache Flink. Architektura, best practices,...

19. 02. 2026architecture

GraphQL v enterprise: Kdy dává smysl a kdy zůstat u REST

GraphQL slibuje flexibilní API bez over-fetchingu. Kde v enterprise prostředí skutečně pomáhá, kde škodí a jak ho...

19. 02. 2026data

PostgreSQL as the Universal Database: Why It Replaces Specialised Systems in 2026

PostgreSQL in 2026 is more than a relational database. With extensions it replaces MongoDB, Elasticsearch, Redis and...

18. 02. 2026ai

AIOps and Autonomous Infrastructure — How AI Manages Operations in 2026

AIOps in 2026: from reactive monitoring to autonomous infrastructure. Anomaly detection, root cause analysis,...

18. 02. 2026infrastructure

Database Modernization in 2026 — NewSQL, Distributed Databases and Legacy System Migration

A complete guide to database modernisation in 2026. NewSQL databases (CockroachDB, YugabyteDB, TiDB), Vitess for...

18. 02. 2026ai

Feature Store: Key Infrastructure for ML in Production

Feature store is the bridge between data engineering and machine learning. How it works, why you need it and how to...

18. 02. 2026ai

LLMOps — jak provozovat velké jazykové modely v produkci

A complete guide to LLMOps — from prompt management through guardrails and evaluation to cost control. How to run...

18. 02. 2026security

Zero Trust Architecture in Practice — From Theory to Implementation

Zero Trust architecture in 2026: 5 pillars of ZTA, ZTNA vs VPN, microsegmentation, identity-first approach and a...

17. 02. 2026ai

Agentic AI in 2026: From Chatbots to Autonomous Systems

What has changed in agentic AI in 2026? Bounded autonomy, governance agents, hierarchical memory, production...

16. 02. 2026ai

Multimodální AI v enterprise — od teorie k nasazení

A practical guide to deploying multimodal AI models in the enterprise. Document processing, image+text analysis,...

15. 02. 2026ai

Why Your Company Needs AI Agents in 2026 — A Practical Guide

A practical guide to deploying AI agents in enterprise companies. ROI calculations, implementation strategies,...

14. 02. 2026ai

How to Choose the Right AI Model for Enterprise Deployment in 2026

A practical guide to choosing an AI model for the enterprise: Claude, GPT, open-source, selection criteria,...

Technologie, Architektur, KI, DevOps & Sicherheit

EMPFOHLENE ARTIKEL

Building Your Own Enterprise AI Copilot — From Prototype to Production in 2026

Database Modernization in 2026 — NewSQL, Distributed Databases and Legacy System Migration

AI Code Review — how to automate code review in 2026

Kubernetes Cost Optimization: Jak ušetřit 40–60 % na cloud infrastruktuře v roce 2026

Model Context Protocol (MCP): How AI Agents Talk to Enterprise Systems

Building Your Own Enterprise AI Copilot — From Prototype to Production in 2026

Enterprise AI Copilot 2026: Jak AI agenti mění firemní infrastrukturu

Agentic AI and Security: A New Attack Surface for Enterprises in 2026

Platform Engineering: How the Internal Developer Portal Is Transforming Enterprise IT in 2026

MLOps Pipeline v produkci: Od experimentu k spolehlivému ML systému

Python in Production: Architecture, Performance and Best Practices for 2026

Real-time Streaming s Apache Kafka a Flink: Architektura pro 2026

GraphQL v enterprise: Kdy dává smysl a kdy zůstat u REST

PostgreSQL as the Universal Database: Why It Replaces Specialised Systems in 2026

AIOps and Autonomous Infrastructure — How AI Manages Operations in 2026

Database Modernization in 2026 — NewSQL, Distributed Databases and Legacy System Migration

Feature Store: Key Infrastructure for ML in Production

LLMOps — jak provozovat velké jazykové modely v produkci

Zero Trust Architecture in Practice — From Theory to Implementation

Agentic AI in 2026: From Chatbots to Autonomous Systems

Multimodální AI v enterprise — od teorie k nasazení

Why Your Company Needs AI Agents in 2026 — A Practical Guide

How to Choose the Right AI Model for Enterprise Deployment in 2026

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