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CORE BLOG

Technology, Architecture, AI, DevOps & Security

Practical articles from real projects. From enterprise architecture to AI agents — we share what works in production.

513

Articles

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FEATURED ARTICLES

Featured ai

AI in HR and IT talent acquisition in 2026

How AI is changing IT talent acquisition in 2026 — from CV screening to retention prediction. A practical view for...

How AI is changing software development in 2026

A practical look at how AI tools are changing the work of developers and CTOs in 2026. What actually works, what are...

Multi-Agent AI in Enterprise — Chatbots to Autonomous Teams

Why a single AI agent isn't enough and how multi-agent systems are changing the rules of enterprise automation....

Microservices security — from perimeter to zero trust

How to secure communication between microservices. mTLS, service mesh, API gateway security.

25. 11. 2016data

Grafana — Metric Visualisation and Dashboards

How we built operational dashboards in Grafana. From installation to production-ready monitoring.

10. 11. 2016ai

Event Sourcing and CQRS — An Alternative to CRUD

How Event Sourcing and CQRS change the way data is stored and read. Audit trail for free.

08. 11. 2016cloud

Helm Charts: Package Manager for Kubernetes

Helm simplifies application deployment to Kubernetes — parameterised templates, versioning, and sharing via chart...

06. 11. 2016ai

Kubernetes RBAC: access control in a container cluster

Kubernetes 1.6 introduces RBAC (Role-Based Access Control) — granular access control for API resources. How to...

28. 10. 2016ai

Domain-Driven Design — Modelling Complex Domains

How the DDD approach helps structure microservices around business domains. Bounded contexts in practice.

17. 10. 2016development

RxJS: reactive programming in JavaScript

RxJS (Reactive Extensions for JavaScript) brings observables, operators and a reactive paradigm. A key Angular 2...

12. 10. 2016devops

Prometheus — metrics and monitoring for microservices

How we started with Prometheus for metrics collection. Pull model, PromQL and Grafana dashboards.

09. 10. 2016development

Functional Programming in JavaScript: A Practical Guide

The functional paradigm is penetrating mainstream JavaScript — immutability, pure functions, composition. Why it...

28. 09. 2016ai

Feature Flags — Controlled Rollout of New Features

How feature flags allow you to deploy code to production without activating a feature. Canary releases and A/B tests.

11. 09. 2016development

styled-components: CSS-in-JS for React

styled-components brings a new approach to styling React components — CSS directly in JavaScript with the full power...

08. 09. 2016ai

Blue-Green Deployment — Zero-Downtime Releases

How blue-green deployment eliminates downtime when releasing new versions of applications.

28. 08. 2016cloud

CloudFormation — AWS Infrastructure as a Template

How CloudFormation complements Terraform for AWS-specific deployments. YAML templates and stacks.

17. 08. 2016ai

Traefik: a modern reverse proxy for microservices

Traefik is a reverse proxy and load balancer designed for dynamic container environments. Automatic configuration,...

15. 08. 2016cloud

AWS — First Experiences with Public Cloud

How we started using Amazon Web Services. EC2, S3, VPC and lessons learned from the first months.

01. 08. 2016development

GraphQL in Practice: Apollo, Relay, and Real-World Deployment

GraphQL is moving from experiment to production. Apollo Client and Relay Modern simplify integration. Practical...

20. 07. 2016cloud

Docker Swarm Mode: Native Container Orchestration

Docker 1.12 introduces Swarm Mode — container orchestration integrated directly into Docker Engine. Simplicity of...

05. 07. 2016devops

GitLab CI — CI/CD Integrated in the Repository

Why we switched from Jenkins to GitLab CI for some projects. .gitlab-ci.yml and runners.

04. 07. 2016cloud

Rancher: a management platform for container environments

Rancher Labs delivers a comprehensive platform for container management — multi-host, multi-orchestrator with an...

28. 06. 2016ai

Chaos Engineering — Getting Started with Chaos Monkey

How Netflix's Chaos Monkey inspired our approach to resilience testing of distributed systems.