Kubernetes: Container Orchestration for Microservices
Learn Kubernetes fundamentals: pods, services, deployments, ingress controllers, Helm charts, autoscaling, and microservices architecture patterns.
Posts in technical
Load Balancing: Traffic Control for Modern Infrastructure
Learn how load balancers distribute traffic across servers, the differences between L4 and L7 load balancing, and when to use software vs hardware solutions.
Logging Best Practices: Structured Logs, Levels, Aggregation
Learn production logging with structured formats, useful log levels, correlation IDs, and scalable aggregation. Includes secure patterns for containerized apps.
Message Queue Types: Point-to-Point vs Publish-Subscribe
Understand the two fundamental messaging patterns - point-to-point and publish-subscribe - and when to use each, including JMS, AMQP, and MQTT protocols.
Metrics, Monitoring, and Alerting: From SLIs to Alerts
Learn the RED and USE methods, SLIs/SLOs/SLAs, and how to build alerting systems that catch real problems. Includes examples for web services and databases.
Multi-Tenancy: Shared Infrastructure, Isolated Data
Multi-tenancy lets multiple customers share infrastructure while keeping data isolated. Explore schema strategies, tenant isolation, and SaaS architecture.
NoSQL Databases: Document, Key-Value, Column-Family, Graph
Explore NoSQL database types, CAP theorem implications, and when to choose MongoDB, Cassandra, DynamoDB, or graph databases over relational systems.
Object Storage: S3, Blob Storage, and Scale of Data
Learn how object storage systems like Amazon S3 handle massive unstructured data, buckets, keys, metadata, versioning, and durability patterns.
PACELC Theorem: Latency vs Consistency Trade-offs
Explore the PACELC theorem extending CAP theorem with latency-consistency trade-offs. Learn when systems choose low latency over strong consistency and vice versa.
Prometheus and Grafana: Metrics Collection and Visualization
Learn Prometheus metrics collection, PromQL querying, and Grafana dashboard creation. Complete guide to building observable systems with metrics.