AI-Driven Project Management: Introducing MCP-Vikunja
How mcp-vikunja connects AI coding agents to self-hosted task infrastructure, enabling structured and state-aware project execution beyond prompt-response loops.
Deep dives, architecture notes, and practical walkthroughs across DevOps, cloud, and AI-enabled operations.
How mcp-vikunja connects AI coding agents to self-hosted task infrastructure, enabling structured and state-aware project execution beyond prompt-response loops.
A compact YAML-driven filter utility for repeatable inbox workflows across cron jobs and skill hooks.
A focused MCP server that turns manual calendar work into a reproducible workflow.
A scoped Gmail MCP server for controlled mailbox operations in automation pipelines.
An operations team needed faster incident communication while keeping human review in control.
A product team with frequent release blockers needed a fast reliability reset without pausing feature delivery.
How Terraform, Ansible, and policy-as-code patterns help audited organizations move faster without sacrificing traceability.
Metrics, logging, and tracing combined with Prometheus and Grafana, including fundamentals, use cases, and practical best practices.
Harden SSH, enforce firewalls, reduce privilege scope, and close common gaps with practical Linux host security controls.
How to set up, scale, and automate Kubernetes clusters, including practical best practices for deployments, resources, and security.
Use reserved capacity, autoscaling, and multi-cloud planning to reduce cost without sacrificing availability and security.
Terraform vs. Ansible comparison, frequent mistakes, best practices, and scaling strategies for repeatable infrastructure.
Comparison and best practices for CI/CD with Jenkins and GitHub Actions, from pipeline-as-code to secrets and matrix builds.