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42 resultsWhat is Retrieval-Augmented Generation (RAG)?
A plain-English explanation of RAG: why it beats pure LLM memory for production knowledge systems.
REST API design principles we follow
Versioning, error formats, pagination, and auth patterns used across all Intersysop-built APIs.
JWT Authentication — Implementation and Security Patterns
Access tokens, refresh tokens, rotation, revocation, and common mistakes.
Building a Data Quality Framework
Dimensions of data quality, validation layers, and monitoring in production pipelines.
Privacy-First Data Design — PII Handling Patterns
Tokenisation, pseudonymisation, encryption at rest, and right-to-deletion workflows.
Introduction to Data Pipelines
What a data pipeline is, the core stages, and when to build vs buy.
Multi-Tenancy Patterns — Database-per-Tenant, Schema-per-Tenant, and Row-Level
Tradeoffs for SaaS data isolation, compliance, and operational complexity.
Resilience Patterns — Circuit Breaker, Retry, Bulkhead, and Timeout
Prevent cascading failures with proven resilience patterns.
Customer telephony AI with live agent handoff
Real-time STT/LLM/TTS pipeline; cut hold time by 41%.
Diagnostic RAG for heavy equipment
Indexed 4M+ pages across PDFs & manuals; latency < 400ms; 32% fewer escalations.
CI/CD Pipeline Design — From Commit to Production
Stages, gates, deployment strategies, and keeping pipelines fast.
Implementing Rate Limiting in APIs
Token bucket, sliding window, fixed window — algorithms and implementation patterns.
Microservices Communication — Sync vs Async Patterns
REST, gRPC, message queues, and choosing the right pattern for each interaction.
API Gateway — Responsibilities and Implementation Patterns
Authentication, rate limiting, routing, request aggregation, and when not to use a gateway.
Designing a Data Lake on AWS S3
Folder structure, naming conventions, lifecycle policies, and access patterns.
Batch vs Streaming Pipelines — Choosing the Right Pattern
Lambda architecture, Kappa architecture, and practical guidance for choosing.
Monitoring and Alerting for Data Pipelines
What to monitor, SLIs/SLOs for data, and building effective alerting.
ETL vs ELT — Which Pattern Should You Use?
Understand the difference between Extract-Transform-Load and Extract-Load-Transform and when each fits.
Schema Registry and Avro for Kafka Data Contracts
Why schema management matters for streaming pipelines and how to implement it.
Real-Time Analytics Architecture Patterns
Lambda, Kappa, HTAP, and choosing the right pattern for sub-second analytics.
Data Observability — Detecting Silent Pipeline Failures
Freshness, volume, distribution, schema, and lineage monitoring for data reliability.
Running Data Workloads on Kubernetes
Spark on K8s, Airflow on K8s, resource requests, and storage patterns.
Snowflake Best Practices for Cost and Performance
Virtual warehouses, clustering, query optimization, and controlling spend.
Secrets Management for Data Platforms
HashiCorp Vault, AWS Secrets Manager, and patterns for rotating credentials safely.
DuckDB — Blazing Fast Local Analytics
When to reach for DuckDB instead of Spark, and how to use it effectively.
MongoDB Schema Design Patterns
Embedding vs referencing, the subset pattern, and indexing strategy.
Idiomatic REST API Design Patterns
Naming conventions, filtering, sorting, sparse fieldsets, and HATEOAS considerations.
Serverless Architecture — When Functions Work and When They Don't
Cold starts, event-driven patterns, cost model, and the right use cases.
API Pagination — Cursor, Offset, and Keyset Patterns
When each method works, performance tradeoffs, and implementation details.
Message Queue Patterns — SQS, RabbitMQ, and Dead Letter Queues
Fan-out, work queues, priority queues, and poison message handling.
Orchestrating Pipelines with Apache Airflow
DAGs, operators, scheduling, and production best practices for Airflow.
gRPC Service Design — Protocol Buffers and Production Patterns
Proto file design, streaming, deadlines, interceptors, and error handling.
Database Connection Patterns in PHP
PDO, prepared statements, connection pooling, and transaction management.
Testing Strategy for Data Pipelines
Unit tests, integration tests, data contract tests, and regression testing for pipelines.
Redis Caching Patterns for Production Applications
Cache-aside, write-through, TTL strategy, and cache invalidation approaches.
Infrastructure as Code for Data Platforms with Terraform
Managing cloud data infrastructure reproducibly with Terraform.
Predictive maintenance for fleet management
Time-series models reduced unplanned downtime by 18% across a mixed heavy equipment fleet.
Feature Flags — Safe Deployment and Gradual Rollout
Types of flags, implementation patterns, and avoiding flag sprawl.
Amazon Redshift — Architecture and Query Optimization
Distribution styles, sort keys, VACUUM, ANALYZE, and WLM tuning.
Kubernetes Deployment Patterns for Production Services
Deployments, Services, Ingress, HPA, and resource management.
Event-Driven Data Architecture Patterns
Event sourcing, CQRS, outbox pattern, and when event-driven beats request/response.
Async/Await Patterns and Common Pitfalls
Concurrency, parallelism, error handling, and avoiding common async bugs.