Blog — Page 5 of 53
Browsing page 5 of 53 — 634 articles and counting.
How Terraform Works Internally: HCL Parsing, Dependency Graph Execution, and the Provider Protocol Behind Infrastructure as Code
A deep dive into Terraform's internal architecture covering HCL parsing, the expression evaluation engine, DAG-based dependency resolution, the gRPC provider plugin protocol, state mechanics, and the plan/apply lifecycle.
How Amazon S3 Works Internally: Object Storage Architecture, Request Routing, and Durability Engineering at Planetary Scale
A deep dive into S3 internals covering the flat object namespace, request routing through the front-end fleet and partition index, erasure coding for 11 nines durability, the consistency model evolution, storage class tiering, multipart uploads, S3 Select pushdown, and event notification architecture with TypeScript SDK examples.
How Apache Kafka Works Internally: Log-Structured Storage, Partition Replication, and Consumer Group Coordination
A deep dive into Kafka internals covering the append-only partitioned log with segment files, zero-copy transfer, ISR-based replication, consumer group rebalancing, KRaft metadata consensus, idempotent and transactional producers, log compaction, and production tuning considerations with TypeScript examples.
How NATS Works Internally: Subject-Based Messaging, JetStream Persistence, and the Simplicity That Makes It the Fastest Message Broker
A deep dive into NATS internals covering the subject-based pub/sub model, zero-allocation message parser, client-server protocol, JetStream persistence with file and memory storage, Raft-based replication, cluster formation with full-mesh routing, leaf nodes, queue groups, and production considerations with TypeScript examples.
How ClickHouse Works Internally: The MergeTree Storage Engine, Columnar Compression, and Distributed Query Execution
A deep dive into ClickHouse internals covering the MergeTree storage engine, sparse primary indexing, columnar compression with codec chains, the write path from insert to immutable parts, vectorized query execution, distributed two-phase queries, and replication via ClickHouse Keeper.
How CockroachDB Works Internally: Distributed SQL, Range-Based Replication, and the Raft-Backed Storage Engine Behind Horizontal Scaling
A deep dive into CockroachDB internals covering the SQL-to-KV mapping layer, range-based partitioning with automatic splits and merges, Raft consensus per range, the DistSQL query planner, and MVCC serializable transactions with hybrid logical clocks and write intents.
How Elasticsearch Works Internally: Inverted Indexes, Segment Merging, and Distributed Search Across Shards
A deep dive into Elasticsearch internals covering the Lucene storage engine with inverted indexes and doc values, the write path through the translog to segment flush and merge, distributed query-then-fetch search mechanics, cluster coordination, and production considerations including shard sizing and hot-warm-cold tiering.
How Kubernetes Works Internally: The Control Loop, Scheduler, and Pod Lifecycle
A deep dive into Kubernetes internals: the declarative reconciliation model, the scheduler's filtering and scoring pipeline, kubelet pod lifecycle management, kube-proxy service networking with iptables and IPVS, the informer/watch event-driven architecture, and admission controllers as the policy layer.
How Prometheus Works Internally: TSDB Storage, PromQL Execution, and the Pull-Based Architecture Behind Modern Monitoring
A deep dive into Prometheus internals covering the pull-based scrape model, TSDB head and persistent block architecture, WAL crash recovery, PromQL query execution pipeline, compaction, and the tradeoffs between Prometheus, Mimir, Thanos, VictoriaMetrics, Datadog, and InfluxDB.
How RabbitMQ Works Internally: AMQP Protocol, Exchange Routing, and the Quorum Queue Engine Behind Reliable Messaging
A deep dive into RabbitMQ internals covering the AMQP 0-9-1 channel model, exchange types and binding routing mechanics, classic queue vs quorum queue storage engines with Raft-based replication, credit-based flow control, consumer acknowledgment semantics and prefetch tuning, clustering and network partition handling, and a tradeoffs comparison table across RabbitMQ, Kafka, NATS, Amazon SQS, and Redis Streams.
How Docker Works Internally: Namespaces, Cgroups, Union Filesystems, and the OCI Runtime Behind Every Container
A deep dive into what happens when you run docker run: Linux namespaces for process isolation, cgroups v2 for resource enforcement, overlay2 union filesystem for layered images, the OCI runtime spec and how runc spawns containers, content-addressable storage, the containerd shim architecture, and networking with veth pairs.
How etcd Works Internally: Raft Consensus, MVCC Storage, and the Watch API Behind Kubernetes State Management
A deep dive into etcd's internals: how Raft achieves consensus through leader election and log replication, how the MVCC storage engine uses bbolt with revision-based versioning, how the Watch API delivers change notifications without polling, and what linearizability actually costs you in production.