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Service Guide & Evaluation Criteria
Technical Evaluation Framework: Vetting Akka & Reactive Systems Specialists
Akka enables high-throughput, fault-tolerant distributed systems using the Actor model. Evaluating Akka specialists requires assessing distributed systems design and resiliency.
1. Reactive Architecture & Akka Ecosystem
- ▸Actor Model Mastery: Designing message-driven actor hierarchies, supervision strategies, and non-blocking asynchronous state machines.
- ▸Akka Cluster & Distributed State: Configuring Akka Cluster, Akka Sharding, Distributed Data, and split-brain resolver policies.
- ▸Event Sourcing & CQRS: Implementing Akka Persistence for event sourcing, state recovery, and read-side projection synchronization.
2. Buyer Diligence & Vetting Criteria
- ▸Resilience & Supervision Design: Explicit failure handling strategies, backpressure management via Akka Streams, and circuit breaking.
- ▸Concurrency & Thread Pool Tuning: Custom dispatcher configurations, preventing actor mailbox starvation, and isolating blocking I/O threads.
- ▸Distributed System Testing: Comprehensive testing using Akka TestKit, multi-node testing, and chaos testing scenarios.
3. Red Flags to Watch For
- ▸Blocking Calls Inside Actors: Executing synchronous database or network operations inside actor
receivemethods, blocking the dispatcher thread pool. - ▸Mutable State Sharing: Passing mutable objects in messages between actors, destroying concurrency guarantees and causing race conditions.
- ▸Oversized Actor Messages: Transmitting large binary payloads across Akka remoting networks, saturating network bandwidth and actor mailboxes.
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