Any concept.
clear in 60 seconds.

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

Message queues allow services to communicate asynchronously, improving scalability and reliability.

Queues distribute tasks to one consumer, while Pub/Sub broadcasts events to multiple subscribers.

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

Backpressure prevents system overload by managing message processing rates in Kafka.

Backpressure helps manage message flow in Kafka during traffic spikes.

Kafka uses retry topics and delayed retries to manage message failures efficiently.

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

Latency is the time for one request, while throughput is how many requests are processed.

The Token Bucket algorithm helps manage how many requests a server can handle.

Cache breakdowns can overwhelm databases, but request coalescing solves this issue.

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