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A production inference layer needs GPU compute sized to the model, a serving runtime such as vLLM or SGLang, orchestration that autoscales on queue depth, one endpoint with health-aware routing and failover, model weights cached near the GPUs, and observability, security, and cost controls.

Active-active means two or more locations serve live traffic at the same time, with the application running in each and its data replicated across them, so no location sits idle waiting for a failover. You build it in five layers, and data is the hardest.

Kubernetes workload rightsizing is one of those tasks everyone agrees is important and almost nobody enjoys doing by hand. Set requests too high and you pay for capacity that sits idle; set them too low and you invite CPU throttling, out-of-memory kills, and late-night pages. It’s no surprise, then, that many teams reach for the Vertical Pod Autoscaler (VPA) as their first step toward automated rightsizing.

Azure Functions monitoring guide: platform metrics by hosting plan, why executions go missing in Application Insights, OpenTelemetry setup and alerts. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

Most debugging content shows one feature in isolation. This walkthrough covers the whole path. The bug: a discount code stopped applying for customers on annual billing plans. It passed every existing test, worked for monthly accounts, and failed only for a subset of real annual customers. Nobody had reproduced it outside production. Here's how it went from ticket to verified fix.

We're excited to share that Honeycomb has achieved yet another Amazon Web Services (AWS) Competency—the Resilience Technology Competency—which recognizes our ability to help customers detect, investigate, and recover from failures in production systems running on AWS. While receiving the competency designation is a fantastic recognition of the capabilities of the Honeycomb platform (we also received one in Financial Services earlier this year), it's ultimately not the point.

If you’re looking for alternatives to US tech giants spying on your data and need a secure, private cloud storage solution for your files, then these best cloud storage for UK customers offer the best alternative to major cloud companies, with the added advantage of extra features, and no more subscriptions with lifetime options.

There is no single best neocloud for AWS or GCP teams. The right one depends on the workload. Bursty fine-tuning and batch jobs reward flexible billing and low hourly rates. Always-on inference and agents reward capacity you can keep plus a second place to run, and data-heavy pipelines reward cheap data movement.

Most cost questions have more than one layer. Which team spent the most, which services drove it, and which accounts were behind those services? Previously, following that path meant changing dimensions, adjusting filters, and re-running the query at every step. Multi-dimensional drill-down has been one of the most-requested features in Explorer. The team shipped two-level group-by earlier this year, collected feedback, and kept going. Now the path goes eight levels deep.