GitOps-driven model rollouts: automating ML deployments with Argo CD and KServe

Deploying machine learning models reliably is harder than shipping regular services: models are data-dependent, versioned artifacts, and they can silently degrade in production. GitOps — using Git as the single...

MLOps Automation

Designing short-lived, dynamic secrets with HashiCorp Vault: practical best practices

Short-lived, dynamic secrets are one of Vault’s most powerful features for reducing blast radius, simplifying rotation, and improving auditability. This article walks through a practical approach you can apply today:...

Security Secrets Management

Embeddings + LLMs for early detection: a practical pattern for AI-driven log analysis

Why this matters Infrastructure logs are high-volume, noisy, and heterogeneous. Detecting the faint, early signals of a problem (slow memory leak, mounting error-rate, or a failing hardware sensor) requires correlating...

AI Observability

Make onboarding frictionless: marry internal developer portals, LLM assistants, and prebuilt cloud dev environments

Developer onboarding still eats time. New hires and transfers spend days or weeks fighting environment setup, hunting for documentation, and waiting for approvals—work that’s low value but high friction. The...

Platform Developer Experience

Agentic DevOps: How Copilot and Incident AI Agents Are Rewiring the DevOps Loop

AI copilots in development used to mean helpful in-editor suggestions. Lately, that definition has been stretching — and fast. Over the last year we’ve seen a transition from single-turn code...

AI Automation

Bringing GPUs into Airflow + Kubernetes ML Pipelines: practical patterns for efficient training and inference

Machine learning pipelines increasingly need more than CPU cycles — they need GPUs. If you’re running Airflow on Kubernetes, that’s good news: Kubernetes gives you the hardware and scheduling primitives,...

MLOps Machine Learning

Agentic copilots in DevOps: from chatty helpers to autonomous teammates

The last few years turned code-completing copilots into something more ambitious: autonomous, agentic copilots that can pick up an issue, spin up a workspace, run tests, and open a pull...

AI Automation

Cloud cost optimization for beginners: Stop wasting money on idle resources

Cloud bills are painless until they’re not. The good news: most cloud “waste” comes from predictable, fixable issues — idle VMs, forgotten storage, over-provisioned containers, and always-on dev environments. This...

Cloud Sustainability