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Cloud Cost Monitoring: Tracking and Optimizing AWS Spending
Building visibility into cloud costs that actually drives action. The dashboards we look at, the alerts that fire, and the queries we run.
Multi-Region Deployment: Building Resilient Cloud Applications
We run our app in two AWS regions for failover. The hard parts aren't the deployment — they're data consistency, traffic shifting, and the assumptions that break when "primary" is suddenly the wrong region.
AWS Lambda Optimization: Reducing Costs and Improving Performance
We run ~200 Lambda functions. Cold starts, memory tuning, and the cost-vs-latency trade-offs that actually move the bill.
DevOps Metrics and KPIs: Measuring Success
We track the four DORA metrics plus a handful of others. The trade-off between what's measurable and what's meaningful, and how we use the numbers.
Multi-Region Resilience: Failover, Data, and DNS
Design for region failure. Active/passive and active/active, data replication, and failover testing.
Canary Releases: Gradual Rollout Strategy
We've run canary deploys on most services for two years. The mechanics are easy; the metrics that decide "promote or roll back" are where the design is.
Blue-Green Deployments: Zero-Downtime Releases
We use blue-green for stateful services where canary doesn't fit. The actual mechanics, the data-layer subtleties, and when blue-green isn't the right answer.
Log Aggregation Strategies: Centralizing Your Logs
We collect ~800GB of logs per day across our fleet. The shape of our logging stack, what we keep, what we drop, and what we'd build differently.
Infrastructure Monitoring with Prometheus: Complete Setup Guide
A working Prometheus stack for a 40-node cluster: what we deploy, what we tune, and what we wish we'd known about cardinality two years ago.
Docker Multi-Stage Builds: Optimizing Image Size
A focused look at the techniques that shrink container images: which actually pay off, which are folklore, and the discipline that keeps images small over time.
Kubernetes Backup Strategies: Protecting Your Cluster Data
We've had to restore a Kubernetes cluster from backup twice. Once it worked. Once it took 14 hours. Here's the strategy we run now.
MLOps Pipelines: From Experiment to Production Models
Build MLOps pipelines for training, evaluation, and deployment. Reproducibility and monitoring.