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47 resultsREST API Versioning Strategies
URL path, header, and query-param versioning compared with real-world tradeoffs.
Privacy-First Data Design — PII Handling Patterns
Tokenisation, pseudonymisation, encryption at rest, and right-to-deletion workflows.
Choosing a vector database: pgvector vs Pinecone vs Weaviate
A practical comparison across dimensions that matter for production RAG systems.
Secure Coding — OWASP Top 10 for Backend Engineers
Injection, broken auth, XSS, IDOR, and how to prevent each.
CI/CD Pipeline Design — From Commit to Production
Stages, gates, deployment strategies, and keeping pipelines fast.
REST API design principles we follow
Versioning, error formats, pagination, and auth patterns used across all Intersysop-built APIs.
Observability — Logs, Metrics, and Traces
Implementing the three pillars with OpenTelemetry and making them actionable.
Data Warehouse Modelling — Star Schema and Dimensional Design
Facts, dimensions, slowly changing dimensions, and why modelling choices matter for query performance.
Progressive Delivery — Feature Flags, Canary, and Dark Launching
Techniques for releasing software confidently at any scale.
Designing a Reliable Webhook System
Delivery guarantees, signature verification, retry logic, and consumer best practices.
Background Job Queue Design
Idempotency, retries, dead letter queues, and job observability.
Distributed Tracing — Propagating Context Across Services
Trace context propagation, sampling strategies, and analysing traces.
Running Data Workloads on Kubernetes
Spark on K8s, Airflow on K8s, resource requests, and storage patterns.
Orchestrating Pipelines with Apache Airflow
DAGs, operators, scheduling, and production best practices for Airflow.
Kubernetes Deployment Patterns for Production Services
Deployments, Services, Ingress, HPA, and resource management.
API Documentation Best Practices
What makes documentation useful, tooling, and keeping docs accurate.
Implementing Rate Limiting in APIs
Token bucket, sliding window, fixed window — algorithms and implementation patterns.
GraphQL vs REST — When to Use Each
Comparing query flexibility, over-fetching, tooling, and operational complexity.
Time-Series Databases — InfluxDB vs TimescaleDB vs ClickHouse
Comparing purpose-built and general-purpose solutions for time-series data.
Idiomatic REST API Design Patterns
Naming conventions, filtering, sorting, sparse fieldsets, and HATEOAS considerations.
Secrets Management for Data Platforms
HashiCorp Vault, AWS Secrets Manager, and patterns for rotating credentials safely.
MongoDB Schema Design Patterns
Embedding vs referencing, the subset pattern, and indexing strategy.
API Error Handling — Consistent Error Responses
Error format standards, HTTP status code usage, and client-friendly error design.
Serverless Architecture — When Functions Work and When They Don't
Cold starts, event-driven patterns, cost model, and the right use cases.
Data Mesh — Principles and Practical Implementation
Domain ownership, data products, self-serve infrastructure, and federated governance.
API Pagination — Cursor, Offset, and Keyset Patterns
When each method works, performance tradeoffs, and implementation details.
Elasticsearch Indexing Strategy and Performance
Mapping, sharding, bulk indexing, and query optimization for Elasticsearch.
API Gateway — Responsibilities and Implementation Patterns
Authentication, rate limiting, routing, request aggregation, and when not to use a gateway.
OAuth 2.0 and OIDC — Implementing Secure Third-Party Auth
Authorization code flow, PKCE, scopes, and integrating with identity providers.
Apache Spark — Core Concepts and When to Use It
RDDs, DataFrames, Spark SQL, and the use cases where Spark is the right tool.
Data & Platform — Service Overview
Pipelines, vector stores, governance, and privacy-first data design.
Designing and Publishing API Client SDKs
Auto-generation vs handwritten, retry logic, versioning, and developer experience.
API Idempotency — Safe Retries for Mutations
Idempotency keys, implementation, and which HTTP methods are idempotent by definition.
CDN and Edge Caching Strategy
Origin offload, cache key design, purging, and choosing a CDN.
Product Engineering — Service Overview
APIs, dashboards, and services delivered with tests, CI/CD, and observability from day one.
Implementing Data Lineage Tracking
Column-level lineage, tools, and why it is critical for debugging and compliance.
Load Testing with k6
Script a realistic load test, interpret results, and find bottlenecks before they find users.
OpenAPI Spec-First API Development
Write the contract before writing code — benefits, tooling, and workflow.
Event Sourcing and CQRS — Practical Implementation
Event store design, projection rebuilding, and operational realities.
API Testing Strategy — Unit, Integration, Contract, and E2E
Building a test pyramid that catches real bugs without slowing delivery.
Logging Best Practices for Production Services
Structured logging, log levels, correlation IDs, and log aggregation.
gRPC Service Design — Protocol Buffers and Production Patterns
Proto file design, streaming, deadlines, interceptors, and error handling.
Designing a Data Lake on AWS S3
Folder structure, naming conventions, lifecycle policies, and access patterns.
Airflow Best Practices for Production Pipelines
Idempotency, backfilling, SLA misses, and common pitfalls to avoid.
Semantic Versioning — MAJOR.MINOR.PATCH in Practice
When to bump each version number and how to communicate breaking changes.
Extracting Microservices from a Monolith
The strangler fig pattern, identifying seams, and avoiding the distributed monolith.
HTTP Caching Strategies for APIs and Web Applications
Cache-Control headers, ETags, CDN caching, and cache invalidation.