Practical engineering notes on APIs, integration, distributed systems, Salesforce, MuleSoft, DataWeave, testing, developer tooling and architecture.
Architecture, design decisions, resilience, scalability and production engineering.
Design SOQL for Salesforce large data volumes using selectivity, indexes, Query Plan analysis, stable pagination, Bulk API extraction patterns, and architecture-aware tradeoffs.
Read deep dive →An architecture deep dive into production-grade MuleSoft–Salesforce integrations: API selection, synchronous and bulk patterns, CDC/Pub/Sub, idempotency, replay, resilience, security, observability, and recovery.
Read deep dive →An architecture deep dive into reducing CDC noise, carrying correlation context, consuming with Pub/Sub API, and designing replay, idempotency, backpressure, and recovery.
Read deep dive →Longer tutorials, integration guides and engineering notes across Salesforce, MuleSoft, DataWeave and distributed systems.
Practical DataWeave patterns for Salesforce integrations: contract mapping, null handling, field normalization, reusable functions, and keeping transformations maintainable.
Read article →A practical MuleSoft guide to choosing bulk-oriented Salesforce operations, designing asynchronous jobs, handling result sets, and avoiding memory-heavy large-volume flows.
Read article →A focused migration checklist for MuleSoft Salesforce Connector 12.x covering runtime and Java requirements, removed authentication, listener changes inherited from 11.x, and regression testing.
Read article →A practical guide to Salesforce Connector authentication in Mule 4, including OAuth Client Credentials, JWT, OAuth 2.0, SAML, migration considerations, and production design choices.
Read article →A production-oriented error-handling strategy for Salesforce integrations in MuleSoft, separating transient connectivity failures from validation, authorization, and business errors.
Read article →A practical observability model for MuleSoft Salesforce integrations covering correlation IDs, latency, Salesforce errors, event lag, replay checkpoints, bulk jobs, and actionable alerts.
Read article →Focused answers and implementation notes designed for quick reference.