Search results
43 resultsChoosing a vector database: pgvector vs Pinecone vs Weaviate
A practical comparison across dimensions that matter for production RAG systems.
Observability — Logs, Metrics, and Traces
Implementing the three pillars with OpenTelemetry and making them actionable.
Secure Coding — OWASP Top 10 for Backend Engineers
Injection, broken auth, XSS, IDOR, and how to prevent each.
REST API design principles we follow
Versioning, error formats, pagination, and auth patterns used across all Intersysop-built APIs.
Privacy-First Data Design — PII Handling Patterns
Tokenisation, pseudonymisation, encryption at rest, and right-to-deletion workflows.
REST API Versioning Strategies
URL path, header, and query-param versioning compared with real-world tradeoffs.
Running Data Workloads on Kubernetes
Spark on K8s, Airflow on K8s, resource requests, and storage patterns.
Idiomatic REST API Design Patterns
Naming conventions, filtering, sorting, sparse fieldsets, and HATEOAS considerations.
Data Mesh — Principles and Practical Implementation
Domain ownership, data products, self-serve infrastructure, and federated governance.
Extracting Microservices from a Monolith
The strangler fig pattern, identifying seams, and avoiding the distributed monolith.
Distributed Tracing — Propagating Context Across Services
Trace context propagation, sampling strategies, and analysing traces.
Secrets Management for Data Platforms
HashiCorp Vault, AWS Secrets Manager, and patterns for rotating credentials safely.
Amazon Redshift — Architecture and Query Optimization
Distribution styles, sort keys, VACUUM, ANALYZE, and WLM tuning.
API Error Handling — Consistent Error Responses
Error format standards, HTTP status code usage, and client-friendly error design.
Orchestrating Pipelines with Apache Airflow
DAGs, operators, scheduling, and production best practices for Airflow.
GraphQL vs REST — When to Use Each
Comparing query flexibility, over-fetching, tooling, and operational complexity.
API Gateway — Responsibilities and Implementation Patterns
Authentication, rate limiting, routing, request aggregation, and when not to use a gateway.
API Pagination — Cursor, Offset, and Keyset Patterns
When each method works, performance tradeoffs, and implementation details.
Designing a Data Lake on AWS S3
Folder structure, naming conventions, lifecycle policies, and access patterns.
Container Registry Management and Image Lifecycle
Tagging conventions, vulnerability scanning, retention policies, and registry options.
Kubernetes Deployment Patterns for Production Services
Deployments, Services, Ingress, HPA, and resource management.
Infrastructure as Code for Data Platforms with Terraform
Managing cloud data infrastructure reproducibly with Terraform.
Feature Stores — Bridging Data Engineering and ML
What a feature store is, online vs offline stores, and when to build vs buy.
Logging Best Practices for Production Services
Structured logging, log levels, correlation IDs, and log aggregation.
API Testing Strategy — Unit, Integration, Contract, and E2E
Building a test pyramid that catches real bugs without slowing delivery.
API Idempotency — Safe Retries for Mutations
Idempotency keys, implementation, and which HTTP methods are idempotent by definition.
OpenAPI Spec-First API Development
Write the contract before writing code — benefits, tooling, and workflow.
Designing and Publishing API Client SDKs
Auto-generation vs handwritten, retry logic, versioning, and developer experience.
API Documentation Best Practices
What makes documentation useful, tooling, and keeping docs accurate.
OAuth 2.0 and OIDC — Implementing Secure Third-Party Auth
Authorization code flow, PKCE, scopes, and integrating with identity providers.
Background Job Queue Design
Idempotency, retries, dead letter queues, and job observability.
HTTP Caching Strategies for APIs and Web Applications
Cache-Control headers, ETags, CDN caching, and cache invalidation.
CDN and Edge Caching Strategy
Origin offload, cache key design, purging, and choosing a CDN.
Implementing Data Lineage Tracking
Column-level lineage, tools, and why it is critical for debugging and compliance.
Apache Spark — Core Concepts and When to Use It
RDDs, DataFrames, Spark SQL, and the use cases where Spark is the right tool.
Elasticsearch Indexing Strategy and Performance
Mapping, sharding, bulk indexing, and query optimization for Elasticsearch.
gRPC Service Design — Protocol Buffers and Production Patterns
Proto file design, streaming, deadlines, interceptors, and error handling.
Semantic Versioning — MAJOR.MINOR.PATCH in Practice
When to bump each version number and how to communicate breaking changes.
Load Testing with k6
Script a realistic load test, interpret results, and find bottlenecks before they find users.
Message Queue Patterns — SQS, RabbitMQ, and Dead Letter Queues
Fan-out, work queues, priority queues, and poison message handling.
Implementing Rate Limiting in APIs
Token bucket, sliding window, fixed window — algorithms and implementation patterns.
Serverless Architecture — When Functions Work and When They Don't
Cold starts, event-driven patterns, cost model, and the right use cases.
Product Engineering — Service Overview
APIs, dashboards, and services delivered with tests, CI/CD, and observability from day one.