Logging Best Practices: Structured Logs, Levels, Aggregation
Master production logging with structured formats, proper log levels, correlation IDs, and scalable log aggregation. Includes patterns for containerized applications.
Posts in technical
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.
Publish/Subscribe Patterns: Topics, Subscriptions, Filtering
Learn publish-subscribe messaging patterns: topic hierarchies, subscription management, message filtering, fan-out, and dead letter queues.
RabbitMQ: The Versatile Message Broker
Explore RabbitMQ's exchange-queue-binding model, routing patterns, dead letter queues, and how it compares to Kafka for different messaging workloads.