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Event Sourcing Performance: Profiling Hazelcast at Scale
Flame graphs, JMH, and a 5-node EKS cluster reveal where an event-sourced Hazelcast system spends its time — and how clustering cut saga latency 95%.
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Event Sourcing Observability: Prometheus, Grafana, Jaeger
Instrument an event-sourced system on Hazelcast: 70 Micrometer metrics, Prometheus scraping, five Grafana dashboards, and Jaeger traces across four services.
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Hazelcast Write-Behind MapStore: Durable Event Sourcing
Hazelcast’s write-behind MapStore persists events to PostgreSQL off the hot path: sub-ms IMap writes, LRU eviction, zero service code changes.
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Claude Code Memory: Context, CLAUDE.md, and When to Clear
A four-tier memory model for Claude Code: what belongs in the conversation, CLAUDE.md, and persistent memory—and when clearing context helps, not hurts.
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Saga Orchestration vs Choreography on Hazelcast
Two saga patterns in one framework: choreography chains async events; orchestration drives synchronous HTTP steps. When to pick each — and how to run both.
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Claude Code Custom Skills & fastlane for iOS Releases
The five custom Claude Code skills and fastlane lane behind a shipping iOS app — why the boring, repeatable workflows are the real leverage.
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Dead Letter Queue + Idempotency: Exactly-Once on Hazelcast
A dead letter queue captures events that fail permanently; an idempotency guard blocks duplicates — exactly-once processing on Hazelcast.
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Claude Code for iOS: Shipping a Real App in 18 Days
First commit to a usable App Store release in 18 days: building an iOS app with Claude Code, SwiftUI, and SwiftData — with an honest credit split.
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Hazelcast Transactional Outbox: Guaranteed Delivery
Fire-and-forget publishing loses events when the shared cluster is down. The transactional outbox writes to a durable local IMap and retries until delivered.
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Circuit Breakers and Retry: Resilient Hazelcast Sagas
One slow service shouldn’t sink the whole saga. Circuit breakers and Resilience4j retry isolate failures and stop cascades in Hazelcast sagas.
