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.
Understand the two fundamental messaging patterns - point-to-point and publish-subscribe - and when to use each, including JMS, AMQP, and MQTT protocols.
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 lets multiple customers share infrastructure while keeping data isolated. Explore schema strategies, tenant isolation patterns, and SaaS architecture.
Explore NoSQL database types, CAP theorem implications, and when to choose MongoDB, Cassandra, DynamoDB, or graph databases over relational systems.
Learn how object storage systems like Amazon S3 handle massive unstructured data, buckets, keys, metadata, versioning, and durability patterns.
Explore the PACELC theorem extending CAP theorem with latency-consistency trade-offs. Learn when systems choose low latency over strong consistency and vice versa.
Learn Prometheus metrics collection, PromQL querying, and Grafana dashboard creation. Complete guide to building observable systems with metrics.
Learn publish-subscribe messaging patterns: topic hierarchies, subscription management, message filtering, fan-out, and dead letter queues.
Explore RabbitMQ's exchange-queue-binding model, routing patterns, dead letter queues, and how it compares to Kafka for different messaging workloads.
Rate limiting protects APIs from abuse. Learn token bucket, sliding window, fixed window algorithms and distributed rate limiting at scale.