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18 resultsREST API design principles we follow
Versioning, error formats, pagination, and auth patterns used across all Intersysop-built APIs.
Apache Kafka — Core Concepts and When to Use It
Topics, partitions, consumer groups, and the use cases where Kafka excels.
Observability — Logs, Metrics, and Traces
Implementing the three pillars with OpenTelemetry and making them actionable.
Monitoring and Alerting for Data Pipelines
What to monitor, SLIs/SLOs for data, and building effective alerting.
Schema Registry and Avro for Kafka Data Contracts
Why schema management matters for streaming pipelines and how to implement it.
Serverless Architecture — When Functions Work and When They Don't
Cold starts, event-driven patterns, cost model, and the right use cases.
Message Queue Patterns — SQS, RabbitMQ, and Dead Letter Queues
Fan-out, work queues, priority queues, and poison message handling.
Fix a Corrupted Windows User Profile
Symptoms of a corrupt profile and how to migrate to a new one without data loss.
gRPC Service Design — Protocol Buffers and Production Patterns
Proto file design, streaming, deadlines, interceptors, and error handling.
Data & Platform — Service Overview
Pipelines, vector stores, governance, and privacy-first data design.
DORA Metrics — Measuring Engineering Delivery Performance
Deployment frequency, lead time, MTTR, and change failure rate in practice.
The Twelve-Factor App — Principles for Modern Services
How the twelve factors apply to real production services today.
Amazon Redshift — Architecture and Query Optimization
Distribution styles, sort keys, VACUUM, ANALYZE, and WLM tuning.
Background Job Queue Design
Idempotency, retries, dead letter queues, and job observability.
API Error Handling — Consistent Error Responses
Error format standards, HTTP status code usage, and client-friendly error design.
Microservices Communication — Sync vs Async Patterns
REST, gRPC, message queues, and choosing the right pattern for each interaction.
Async/Await Patterns and Common Pitfalls
Concurrency, parallelism, error handling, and avoiding common async bugs.
WebSockets — Building Real-Time Features
Connection lifecycle, heartbeats, reconnection logic, and scaling with Redis pub/sub.