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19 resultsHard Drive Clicking — Data Recovery Options
What clicking means, what NOT to do, and your recovery options from DIY to professional.
Progressive Delivery — Feature Flags, Canary, and Dark Launching
Techniques for releasing software confidently at any scale.
Observability — Logs, Metrics, and Traces
Implementing the three pillars with OpenTelemetry and making them actionable.
Resilience Patterns — Circuit Breaker, Retry, Bulkhead, and Timeout
Prevent cascading failures with proven resilience patterns.
Secure Coding — OWASP Top 10 for Backend Engineers
Injection, broken auth, XSS, IDOR, and how to prevent each.
Customer telephony AI with live agent handoff
Real-time STT/LLM/TTS pipeline; cut hold time by 41%.
Fix Monitor or Laptop Screen Flickering
Identify whether flickering is caused by the cable, driver, refresh rate, or hardware.
Load Testing with k6
Script a realistic load test, interpret results, and find bottlenecks before they find users.
Data Observability — Detecting Silent Pipeline Failures
Freshness, volume, distribution, schema, and lineage monitoring for data reliability.
Set Up Dual Monitors in Windows
Connect, configure, and troubleshoot a two-monitor setup.
CDN and Edge Caching Strategy
Origin offload, cache key design, purging, and choosing a CDN.
API Error Handling — Consistent Error Responses
Error format standards, HTTP status code usage, and client-friendly error design.
Monitoring and Alerting for Data Pipelines
What to monitor, SLIs/SLOs for data, and building effective alerting.
DORA Metrics — Measuring Engineering Delivery Performance
Deployment frequency, lead time, MTTR, and change failure rate in practice.
Implementing Rate Limiting in APIs
Token bucket, sliding window, fixed window — algorithms and implementation patterns.
API Gateway — Responsibilities and Implementation Patterns
Authentication, rate limiting, routing, request aggregation, and when not to use a gateway.
Building a Data Catalog with DataHub
Ingestion, metadata, search, and making your catalog actually useful.
Our observability stack for production services
Logs, metrics, traces — how we instrument every service we ship.
BigQuery Cost and Performance Optimization
Partitioned tables, clustered tables, slot usage, and avoiding full scans.