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The RED Method helps monitor microservices using Rate, Errors, and Duration metrics.

Alerting helps notify the right people about production issues quickly.

Monitoring Kafka consumer lag helps prevent production problems by ensuring consumers keep up with message traffic.

The USE Method helps find and analyze infrastructure bottlenecks in software systems.

Observability helps engineers understand system behavior to debug production issues effectively.

Database bottlenecks slow down performance, but identifying them helps optimize and scale effectively.

Microservices can communicate using five key patterns based on their needs.

The Bulkhead Pattern isolates resources to protect critical workloads from failures.

Optimizing Elasticsearch involves using filters, caching, and measuring performance.

Microservices are useful when you need independent scaling, deployment, and clear boundaries in software design.

Timeouts in distributed systems indicate suspicion, not confirmed failure.

FAANG engineers use high-level design principles to create scalable systems.

Monolithic and microservices architectures each have unique advantages and challenges for software development.

Choosing the right boundaries for microservices is crucial for effective architecture.

The Transactional Outbox Pattern ensures database updates and event publishing are synchronized to avoid losing events.

Microservices and modular monoliths differ mainly in deployment and communication methods.

Token Bucket allows burst traffic, while Leaky Bucket smooths out traffic flow.

Distributed backpressure helps manage the flow of work between services to prevent overload.

Dependency failures can disrupt applications, but resilience patterns can help manage them.

Choosing the right distributed lock depends on your system's needs and existing tools.