Operations | Monitoring | ITSM | DevOps | Cloud

A shared Kubernetes cluster rarely belongs to one team. Payments runs checkout in one namespace, search runs search-api in another, and a risk team runs a scorer somewhere else. One Speedscale forwarder captures API traffic for all of them. Redacting that traffic before it leaves the cluster is what makes it safe to use for testing (the background is in The PII Testing Dilemma). Until now, that forwarder ran exactly one DLP rule. Every team that needed a field redacted had to edit the same JSON document.

ElevenLabs pricing runs from a free plan to $990 per month across six published tiers, with custom Enterprise above that. Plans meter usage in credits, where one credit roughly equals one character of speech. Voice agents cost $0.08 per minute on every tier, plus separate LLM and telephony charges. The AI agency PxlPeak published its own ElevenLabs invoice: $303 for January 2026, covering voice content for six clients, IVR systems for two, and live voice agents for three.

Token-based pricing charges for AI by the volume of text a model processes, metered separately for input tokens (what you send) and output tokens (what the model returns). As of 2026, OpenAI, Anthropic, and Google all bill their APIs this way, and the model is spreading into enterprise chat products. Bills scale with usage rather than seats.

A software factory is a system for turning engineering intent into production software through repeatable, increasingly automated workflows. It connects the tools, infrastructure, people, agents, validation, and delivery controls required to move work from an idea or issue into production. Coding agents have made the model newly relevant. Teams can now produce software changes much faster than traditional development processes were designed to evaluate and coordinate.

In November 2025, Progress Chef outlined their plans to deprecate Chef Infra Server; which will reach end of life effective November 30, 2026. For Infra Server users, this means you have an opportunity to evaluate your infrastructure solutions to make sure it meets enforces internal or regulatory compliance policies, lets you manage infra everywhere it lives today, and sets you on the right path for the future.

See how machine learning is changing secure SDLC practices, from AI-assisted code review and finding triage to new risks like model supply chain attacks.