Archive
nerdctl is a Docker-compatible CLI that talks directly to containerd, the standard Kubernetes runtime since dockershim was removed in 2022. It adds rootless support by default, encrypted images with ocicrypt, lazy-pulling, and native CNI. It fits best where containerd already runs, though Docker Engine still wins on advanced Compose and Swarm.
Google's SRE book (2016) is canonical reading, but it is written for thousands of engineers and in-house datacenters: applying it literally on a small team creates friction. Five principles do travel (SLOs, error budgets, blameless postmortems, toil management, humane on-call); what does not scale is Google's infrastructure and dedicated roles.
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.
With 30 or more microservices, end-to-end tests become slow, fragile and impractical. Pact implements consumer-driven contract testing: the consumer defines what it expects, the provider verifies it in its own CI pipeline, with no shared environment needed. The result is integration proof in seconds, not minutes.
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.
Google launched Bard in February 2023 with PaLM 2 as its answer to ChatGPT, unveiling the model in May the same year in four sizes: Gecko, Otter, Bison, and Unicorn. PaLM 2 competes with GPT-3.5 and GPT-4 on benchmarks like MMLU and BIG-bench, but Google's real edge is Workspace integration, not the model itself.
Fine-tuning your own LLM pays off in three cases: you need a very specific style or voice, a rigid structured output format, or you want lower cost and latency from a small specialised model. LoRA and QLoRA have cut the GPU cost, but preparing data and running the model in production are still expensive. For everything else, RAG and prompt engineering are usually enough.
The NIS2 Directive expands European cybersecurity from 7 to 18 sectors, mandates 10 minimum technical measures and 24-hour incident notification, and imposes fines of up to 10 million euros or 2% of global turnover, with personal liability for management bodies that fail to comply.
Stable Diffusion XL marks a leap in open-licence image generation quality. What changes versus SD 1.5/2.1, the hardware requirements, and when to pick SDXL over Midjourney or DALL-E 3 for your workflow.
ChatGPT plugins let the model invoke external services through an OpenAPI specification. Three months after launch, the ecosystem has around 500 plugins with a clear pattern: they work well for live data lookup and internal API exposure, but show friction in multi-plugin orchestration and real-money transactions.
To write Prometheus alerts that won't get ignored, alert on customer-observable symptoms (latency, error rate, saturation) instead of internal causes like CPU or memory, define SLOs with multi-window burn rate to scale severity, add a watchdog alert that confirms the system is still alive, and review the signal-to-noise ratio every quarter.
