Matheus Guimaraes

Microservices Common Failure Modes (And How Teams Actually Hit Them)

Why do healthy-looking microservices suddenly fail? Discover the three hidden couplings that create stuck orders and cascading failures in your distributed systems.

Microservices Common Failure Modes (And How Teams Actually Hit Them)
#1about 2 minutes

Understanding common failure modes in distributed systems

Microservices offer benefits like independent deployment but introduce complex failure modes such as cascade failures and retry storms.

#2about 8 minutes

Exploring the system architecture and purchase workflow

The system uses an aggregator service to orchestrate a purchase workflow by making sequential calls to catalog, pricing, inventory, and order services.

#3about 6 minutes

Solving intermittent failures with timeouts for temporal coupling

Synchronous calls create temporal coupling where a slow service blocks the entire workflow, which can be solved by implementing timeouts and retry logic using an orchestrator.

#4about 4 minutes

Using the saga pattern to fix transactional coupling

When a multi-step workflow fails midway, it creates data inconsistency, which can be resolved by implementing the saga pattern with compensating actions.

#5about 3 minutes

Preventing breaking changes with contract testing

Implicit dependencies on API schemas cause contract coupling, which can be prevented by using contract testing to validate service interactions before deployment.

#6about 1 minute

How small design choices lead to major system failures

Major failures in microservice architectures often stem from the cumulative effect of small, reasonable shortcuts that compromise structural integrity over time.

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