vLLM serves language models on GPU using PagedAttention and continuous batching, two techniques that multiply throughput compared with a naive server. It exposes an OpenAI-compatible API, so migrating an existing application only requires changing the base URL and deploying the right binary.
Kubecost and OpenCost map real costs to namespaces, deployments, and labels in Kubernetes. OpenCost, the Apache 2.0 open-source core, covers essentials for free. Kubecost adds multi-cluster visibility and advanced cloud billing. For clusters spending over $5,000/month the ROI is clear: identified savings typically exceed software cost within the first month.
Litestream is an open-source tool that replicates a SQLite database to an S3 bucket in near real time by reading the WAL SQLite already writes. It offers point-in-time recovery, overhead of only 1 to 3% CPU, and replaces the need for a separate database server in small apps.
Cloudflare Workers is no longer an isolated edge function. In 2024, together with KV, D1, R2, and Durable Objects, it forms a complete platform that matches AWS on latency and drops egress fees, though it still falls short on long-running compute and the mature managed databases AWS offers.
Kubernetes 1.31 brings no fireworks, but it closes old debts: AppArmor reaches GA, native sidecars now run enabled by default on their way to stable in 1.33, and DRA moves through alpha toward beta. A practical review from the perspective of someone operating clusters in production.
OpenTelemetry declared logs signals stable in July 2024. The third pillar of modern observability finally joins metrics and traces under a single protocol and a shared data model.
In 2024, the sidecar-or-not debate has an answer: Istio Ambient Mesh and Cilium Service Mesh bring sidecarless architecture to production, while Linkerd keeps ultra-light Rust sidecars. The right choice depends on your current CNI, the features you need, and the size of your ops team, not on which project wins in the abstract.
Redis moved to dual SSPL/RSAL licensing in March 2024, no longer meeting the OSI open-source definition. Valkey emerged as a BSD 3-Clause fork backed by AWS, Google Cloud, Oracle, and the Linux Foundation, fully protocol-compatible with Redis 7.2. Migrating is almost always trivial: swap the binary or the Docker image.
cAdvisor is still embedded in kubelet and covers surface metrics, but falls short for production Kubernetes. The modern minimum stack pairs it with kube-state-metrics, node-exporter, Prometheus, and Grafana as a base, eBPF for deep network and syscall visibility, and OpenTelemetry for application context.
PostgreSQL 17, released in September 2024, cuts vacuum memory use by up to 20x, adds slot synchronization so logical replication survives a failover without a full resync, ships JSON_TABLE as standard SQL:2023 syntax, and introduces streaming I/O to speed up sequential scans. Teams running Postgres in production should start testing it in staging.
PostgreSQL 16 closes the historical gaps in logical replication: parallel apply near 2x faster, logical slots served from physical standbys, and the scaffolding for bidirectional replication. The result is a first-line tool for cross-version migrations and CDC pipelines.
Containerising SCADA makes sense for the upper architecture layers: HMI, historians, and data gateways. PLCs still control hardware with hard determinism. The biggest risk is cultural: applying DevOps patterns without adapting to OT context causes incidents. NIS2 requires managing containers as any other critical infrastructure asset.
Cilium Service Mesh replaces Istio or Linkerd sidecars with eBPF in the kernel: it handles policy, WireGuard encryption, and Hubble observability without a per-pod proxy, cutting memory overhead from roughly 100 GB to about 5 GB in a 100-node cluster. It suits large clusters with teams comfortable with eBPF.
SQLite in production is more viable than most teams assume. WAL mode removes read contention, Litestream replicates the WAL to S3 in near-realtime, and LiteFS adds multi-node replication. Without a separate database server, apps like Tailscale and PocketBase already do this in production. This article explains when it makes sense and its real limits.
Linkerd is the pragmatic service mesh for Kubernetes, prioritizing simplicity over feature catalogues. Its Rust proxy uses ~10 MB RAM per sidecar versus 50-100 MB for Envoy under Istio. This comparison explains when adopting it pays off, what it costs to operate, and when Istio makes more sense.
This guide installs PostgreSQL 16 with pgvector on Debian or Ubuntu using the official PGDG repository, creates a dedicated role and database, tunes memory for production, and explains when the HNSW index beats IVFFlat depending on vector volume and the available maintenance window.
An Internal Developer Platform (IDP) centralises service discovery, provisioning and observability in a single portal, so developers stop depending on stale wikis and Slack channels. Backstage, Port and Cortex dominate the market: Backstage is open source with a dedicated team, Port is fast low-code SaaS, and Cortex focuses on scorecards for measurable technical discipline based on team size.
pgvector matured in 2023-2024 with the HNSW index type and parallel construction that arrived in version 0.6. For projects already running PostgreSQL, a dedicated vector database is not needed in most cases: this guide explains when PostgreSQL is enough, how to configure the index, and where it starts to fall short.
SQLite and DuckDB are both embedded databases that work from a single file, no server needed. Their architecture differs: SQLite stores rows and excels at short transactions (OLTP); DuckDB stores columns and shines at large-scale analytics (OLAP). Choosing the right one, or combining both, delivers a genuine technical edge.
ArgoCD has established GitOps as the standard deployment practice for Kubernetes: the Git repository is the single source of truth for the desired state, and the agent continuously reconciles the cluster. This guide covers the four formal GitOps principles, sync policies, common production mistakes, and a comparison with Flux.
A service mesh adds mTLS, uniform observability, and traffic management between microservices without modifying application code. The ecosystem has consolidated: Istio is the most complete and complex, Linkerd prioritises simplicity with Rust proxies, and Cilium delivers sidecarless service mesh via eBPF.
containerd is the runtime that runs containers in most modern Kubernetes clusters, and almost nobody notices. It manages the full container lifecycle: pulling the image, starting it, networking, and mounting the filesystem. It became the default runtime after Kubernetes 1.24 removed dockershim in May 2022.
Event-driven architecture decouples services through message brokers. Each component publishes events when something changes, instead of calling other services directly. It reduces coupling and improves resilience. It adds real value in domains with multiple consumers and natural asynchronous processing, but introduces operational complexity worth evaluating before adoption.
Backstage is the open-source platform from Spotify for building Internal Developer Platforms: a web portal (Node.js + React) that centralises service catalogs, scaffolding, and technical documentation. Adopted by Netflix, American Airlines, and hundreds of companies since 2020, it needs 1-3 dedicated engineers and pays off for organisations with more than 50 developers.
eBPF is a Linux kernel technology that lets you load and run verified, high-performance programs without recompiling the kernel or rebooting the system. It runs safely inside a virtual machine in the kernel and underpins tools such as Cilium, Pixie, Falco, and Tetragon for real-time tracing, networking, and security.
Vector databases have gone from an experimental curiosity to the central component of most LLM-based products. This comparison covers Qdrant, Pinecone, and Weaviate: architecture, strengths, limitations, and a decision tree for choosing the right option based on your operational priorities and budget.
PostgreSQL 16, released in September 2023, adds logical replication from a standby, the pg_stat_io view for breaking down I/O by operation type and context, and parallel FULL OUTER JOIN support. Upgrading from 15 is straightforward; 13 loses support in November 2025, so plan the update soon.
pgvector turns PostgreSQL into a fully functional vector database without adding a separate service to the stack. It extends Postgres with the vector type, IVFFlat indexes for approximate nearest-neighbour search (ANN), and the ability to combine relational SQL filters with vector ranking in a single query. For most RAG projects and internal chatbots, those limits never become a problem.
Chroma is the easiest vector database to get started with embeddings and semantic search: install it with pip install chromadb, no extra infrastructure required, and it exposes a minimal API (add, query, delete). It suits prototypes and mid-sized RAG systems well; past a few million vectors, Qdrant or Milvus scale better.
Micro-frontends bring the microservices idea to the UI: split the frontend into pieces that separate teams can develop and deploy independently. They pay off when coordination costs across four or more teams in the same SPA exceed the added technical overhead; without a mature design system and platform team, they tend to multiply problems.
Platform engineering formalizes the internal product development teams need. An Internal Developer Platform (IDP) centralises deployment, observability and self-service behind a unified interface so product teams deliver value without becoming infrastructure experts. Investment pays off from around 30 to 50 developers.
Redis alone isn't a caching strategy, just an ingredient: picking the right pattern among cache-aside, read-through, write-through, and write-behind, sizing TTL to how fast data actually changes, invalidating explicitly for critical data, and mitigating thundering herd with jitter and locking are the decisions that actually matter in production.
Kubernetes 1.27 ("Chill Vibes"), released in April 2023, makes SeccompDefault stable so pods get safer syscall defaults automatically, moves KMS v2 to beta with rotatable encryption keys for etcd secrets, and stabilises scheduling gates. It also removes PodSecurityPolicy for good: without migrating to Pod Security Admission first, the upgrade is blocked entirely.
Apache Kafka has consolidated in 2023 as the enterprise event backbone thanks to KRaft, now GA and removing the ZooKeeper dependency. The most mature patterns are CDC with Debezium, event sourcing, and stream processing with Kafka Streams or Flink, while Redpanda and Pulsar compete as real alternatives depending on the case.
OpenTelemetry is the CNCF project, graduated in May 2026, that unifies logs, metrics, and traces under one SDK and the OTLP protocol, without locking you into a single backend. Traces have been stable since 2021 and metrics since 2023; logs are still maturing, but already worth adopting on new projects.
Cilium replaces iptables with eBPF programs loaded directly into the Linux kernel, substituting O(n) linear chains with O(1) hash lookups. Documented benchmarks show up to 50% lower p95 latency, 2-3x more throughput, and 70% less kernel CPU in large Kubernetes clusters.
Kafka gets the headlines as the byword for modern messaging, but RabbitMQ remains the better choice for task queues with retries, asynchronous RPC, and pub/sub with complex routing. This guide compares both against NATS, walks through classic patterns and production mistakes, and helps you decide based on the actual use case rather than the trend.
Kubernetes 1.28 introduces native sidecar containers in alpha via KEP-753: adding restartPolicy Always to initContainers ensures correct startup and shutdown ordering. It fixes Jobs that never terminate. Istio, Linkerd, and observability agents like Fluent Bit are the primary beneficiaries.
Pixie uses eBPF to automatically instrument Kubernetes clusters without modifying application code. A per-node agent captures HTTP, gRPC, SQL, and Redis traffic at the kernel level, exposing service maps, CPU profiles, and SQL traces within minutes. It complements Prometheus for reactive diagnosis with no sidecars or redeploys.
Migrating from monolith to microservices means splitting a single system into independent services that deploy and scale on their own. It gains granular scalability and team autonomy, but adds real operational complexity: stable interfaces, Kubernetes orchestration, and a mature DevOps culture are conditions, not optional extras, for the migration to pay off.
Choose modular architecture when your team has fewer than ten people and ships the system as a single unit; choose microservices when separate teams need to deploy independently or when specific components require very different scaling, in exchange for higher operational complexity.
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