Deep dives into system design, architecture patterns, and building software at scale.
How to build custom API gateway plugins: Kong plugin development in Lua, Envoy WASM filters, NGINX Lua modules, custom authentication, request transformation, and rate limiting plugins.
A practical guide to API gateway request transformation: header injection, body transformation, URL rewriting, request/response mapping, protocol translation, and implementation with Kong, AWS API Gateway, and Traefik.
Design effective health check endpoints: liveness vs readiness vs startup probes, dependency checks, degraded state handling, health aggregation, standard response formats, and Kubernetes integration.
How to design reliable file upload systems: multipart form data, chunked uploads, the tus resumable protocol, presigned URLs, upload progress tracking, virus scanning, size limits, and S3 multipart uploads.
How to build reliable webhook infrastructure: at-least-once delivery, exponential backoff, HMAC verification, idempotency keys, dead letter queues, and tools like Svix.
How to scale WebSocket connections — sticky sessions, Redis pub/sub fan-out, horizontal scaling, connection limits, heartbeat/ping-pong, reconnection strategies, and Socket.IO cluster adapter.
Complete guide to blue-green deployment — DNS vs load balancer switching, database migration challenges, rollback strategies, smoke testing, tools (AWS CodeDeploy, Kubernetes, Argo Rollouts), and cost considerations.
A comprehensive guide to capacity planning — traffic estimation, server sizing, storage growth, database capacity, caching layers, load testing, auto-scaling policies, cost forecasting, and headroom planning.
Practical strategies for cutting cloud spend — right-sizing, reserved instances, spot instances, auto-scaling, idle resource detection, FinOps, tagging, cost allocation, and tools like Infracost, Kubecost, and AWS Cost Explorer.
A practical guide to database failover: automatic failover, read replica promotion, connection retry strategies, PgBouncer failover, HAProxy for databases, and multi-AZ deployment patterns.
How to detect, diagnose, and prevent database connection leaks: PostgreSQL pg_stat_activity, connection pool monitoring, leak prevention patterns, and automated alerting strategies.
How to manage database connection strings properly: anatomy of a connection string, secrets rotation, environment configs, connection builders, failover URLs, and read replica routing.
A practical guide to PostgreSQL table partitioning: declarative syntax, range/list/hash strategies, partition pruning, pg_partman for time-based logs, and production best practices.
Master PgBouncer connection pooling: transaction vs session mode, config tuning, connection limits, prepared statements, Odyssey alternative, and serverless pooling.
A practical guide to tuning PostgreSQL autovacuum: worker settings, naptime, scale factor, cost limits, monitoring bloat, wraparound prevention, and per-table configuration for high-throughput databases.
A complete comparison of deployment strategies — rolling update, blue-green, canary, A/B testing, shadow launch, feature flags, and recreate. Learn when to use each and how to choose.
How distributed systems keep time: NTP, Lamport clocks, vector clocks, Google TrueTime, Hybrid Logical Clocks, and the real impact of clock skew.
Compare Raft, Paxos, PBFT, and Zab consensus algorithms — performance, complexity, fault tolerance, use cases, and implementation difficulty for distributed systems.
How do nodes in a distributed system know which peers are alive, which have failed, and which just joined? A practical guide to membership protocols: SWIM, gossip-based dissemination, failure detection, suspicion mechanisms, and tools like Memberlist and Serf.
A comprehensive guide to DNS load balancing: round-robin DNS, weighted DNS, GeoDNS, latency-based routing, health-check integration, Route 53 failover, and DNS TTL strategies.
Master AWS EventBridge: event bus patterns, schema discovery, content-based filtering, archive and replay, cross-account events, and SaaS integrations for production event-driven architectures.
How to detect and remediate infrastructure drift: Terraform plan checks, Crossplane reconciliation, CI/CD drift pipelines, manual change detection, and remediation strategies.
A practical guide to infrastructure monitoring: host metrics, container metrics, Kubernetes observability, Prometheus and Node Exporter setup, Grafana dashboards, alerting rules, and capacity planning.
ConfigMap vs Secret in Kubernetes: mounting as volumes vs env vars, immutable configs, binary data, encryption at rest, and external secret management.
How to define custom resources, write CRD schemas, build controllers, use the operator pattern, validate with webhooks, and version your CRDs in production.
A complete guide to Kubernetes DaemonSets: use cases for logging and monitoring agents, node affinity, tolerations, rolling updates, priority classes, resource limits, and production best practices.
How the Horizontal Pod Autoscaler works in Kubernetes: CPU and memory metrics, custom metrics with Prometheus adapter, scaling behavior policies, cooldown, stabilization windows, and scale-to-zero with KEDA.
Deep dive into Kubernetes ingress controllers — NGINX Ingress, Traefik, Istio Gateway, AWS ALB Controller. TLS termination, path-based routing, rate limiting, and production configuration.
Master Kubernetes init containers — use cases for DB migrations, config loading, dependency checks, ordering guarantees, failure handling, resource sharing with app containers, and sidecar comparison.
Master Kubernetes Jobs and CronJobs: batch and parallel execution, completions, backoffLimit, CronJob schedules, concurrencyPolicy, TTL controller, and monitoring job failures.
Implement Kubernetes network policies: default deny, namespace isolation, pod-to-pod rules, egress policies, Calico vs Cilium comparison, debugging connectivity, and zero-trust networking patterns.
The complete guide to Kubernetes persistent storage: PersistentVolumes, PersistentVolumeClaims, StorageClasses, dynamic provisioning, access modes, reclaim policies, CSI drivers, stateful workloads, and backup strategies.
How PodDisruptionBudgets work in Kubernetes — minAvailable vs maxUnavailable, voluntary vs involuntary disruptions, rolling updates, node drain, and cluster autoscaler interaction.
How to control resource consumption in Kubernetes: ResourceQuota vs LimitRange, namespace quotas for compute, storage, and object counts, priority class quotas, quota scopes, and monitoring quota usage in production.
K8s Secrets are base64-encoded, not encrypted. Learn External Secrets Operator, Sealed Secrets, Vault CSI, SOPS, secret rotation, RBAC hardening, and production best practices.
A detailed comparison of Istio, Linkerd, Consul Connect, and Cilium service meshes: architecture, performance overhead, complexity, features, and when to choose each for your Kubernetes cluster.
How Kubernetes Service types work: ClusterIP for internal traffic, NodePort for development, LoadBalancer for production ingress, ExternalName for external DNS, headless services for direct pod access, service discovery, DNS resolution, and endpoints.
How to build resilient multi-cloud systems: abstraction layers, Terraform multi-provider, data portability, cost arbitrage, compliance, and disaster recovery across AWS, GCP, and Azure.
How to manage observability infrastructure as code: Grafana dashboards in JSON, Terraform-managed alerts, SLO definitions in YAML, and Jsonnet/CUE for config generation.
Design observability pipelines that collect, transform, and route logs, metrics, and traces. OpenTelemetry Collector, Vector, Fluentd, sampling strategies, filtering, and multi-destination routing.
A comprehensive guide to reverse proxy architecture: forward vs reverse proxy, SSL termination, caching, compression, load balancing, and hands-on configuration with Nginx, HAProxy, Caddy, Traefik, and Envoy.
Complete guide to API gateway patterns — authentication, rate limiting, request routing, circuit breaking, and when to use Kong, AWS API Gateway, Nginx, or Envoy. With architecture diagrams.
How modern systems handle configuration: 12-factor principles, config servers, feature flags as config, hot reload, validation, and GitOps-driven config management.
Deep dive into DNS architecture — record types (A, AAAA, CNAME, MX, TXT, SRV), resolution flow, TTL strategies, GeoDNS, failover, DNSSEC, private zones, and tools like Route 53, Cloudflare DNS, and NS1.
Understand DNS from first principles — resolution flow, record types (A, CNAME, MX, TXT), TTL strategies, GeoDNS, DNS failover, and how companies like Netflix and Cloudflare use DNS at scale.
The definitive guide to scaling strategies — vertical (bigger machines) vs horizontal (more machines). Auto-scaling, stateless design, session affinity, and cost analysis with real examples.
Everything you need to know about load balancers — L4 vs L7, algorithms (round robin, least connections, weighted, consistent hashing), health checks, and cloud options (ALB, NLB, Nginx, HAProxy).
How time series databases handle billions of data points: write-optimized storage, gorilla compression, retention policies, downsampling, and when to use InfluxDB, TimescaleDB, Prometheus, or ClickHouse.
How the circuit breaker pattern works in distributed systems: states, thresholds, fallbacks, and implementation with real-world examples.
How consistent hashing works, why it matters for caching and databases, virtual nodes, and real-world usage in DynamoDB, Cassandra, and CDNs.
How database indexes work under the hood: B-trees, hash indexes, composite indexes, covering indexes, and when NOT to add an index.
How to design a content pipeline: upload processing, format conversion, quality checks, metadata extraction, CDN distribution, and analytics at scale.
How to implement distributed locks: Redis SETNX, Redlock, ZooKeeper ephemeral nodes, fencing tokens, and when you actually need one.
How to design a centralized logging system: structured logging, collection, aggregation, storage, search, alerting, and the ELK/Grafana Loki stacks.
How to design a rate limiter for system design interviews: token bucket, sliding window, distributed rate limiting, and real-world implementation patterns.
How to design a search system: crawling, indexing, query processing, ranking algorithms, autocomplete, and scaling search infrastructure.
How to design a task queue system: producer-consumer pattern, job scheduling, retry strategies, dead letter queues, and scaling with Celery, Bull, or SQS.
How to design a web crawler like Googlebot: URL frontier, politeness policies, duplicate detection, distributed architecture, and content extraction.
How Elasticsearch works under the hood: inverted indexes, sharding, replication, near-real-time search, and when to use it vs alternatives.
A practical comparison of gRPC and REST APIs: protocol buffers vs JSON, streaming, performance benchmarks, and real-world usage patterns.
How content delivery networks work: edge servers, caching strategies, DNS routing, cache invalidation, and when to use a CDN.
A clear breakdown of Kubernetes architecture: control plane, worker nodes, pods, services, and how they work together. Plus when K8s is overkill.
How Nginx works: event-driven architecture, master-worker process model, reverse proxy, load balancing, and configuration patterns.
How Redis achieves sub-millisecond latency: single-threaded event loop, in-memory data structures, persistence options, and clustering patterns.
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