Platform & Operations
Writing Runbooks for AI Agent On-Call
AI agent on-call runbooks need decision trees for runaway spend, guardrail bypass, and stuck queues, not just restart-the-service steps.
Blog
Insights & updates — page 14
AI agent security, identity, governance, cost, and the engineering behind the control plane.
Platform & Operations
Web Push Alerts for AI Operations
Browser push notifications deliver agent failures and budget alerts to operators the moment they happen — no open tab or email check required.
Platform & Operations
Multi-Region Failover for AI Agent Workloads
Multi-region failover for AI agents means deciding what fails over and what must stay pinned — control plane logic differs from tenant data. A practical design.
Platform & Operations
Golden Signals for Agent Services
The four golden signals — latency, traffic, errors, saturation — need a fifth for agent services: task outcome quality, since correct output is a distribution.
Platform & Operations
In-App Notifications That Cut Through
How a purpose-built in-app notification system keeps AI platform operators informed of critical agent events and alerts without noise or alert fatigue.
Platform & Operations
Disaster Recovery for an AI Control Plane
Disaster recovery for an AI control plane means restoring policy, audit chain, and credentials from backup, distinct from live regional failover.
Platform & Operations
Chaos Engineering for Agent Systems
Chaos engineering for agent systems means injecting tool, provider, and guardrail failures deliberately, before an incident does it for you.
Platform & Operations
Auth Monitoring and Login Security
How to capture, aggregate, and act on authentication events in your AI platform so credential attacks surface in minutes, not days.
AI Governance & Compliance
Change Management for Agent Configurations
Change management for agent configurations governs model, tool-scope, and budget edits with approval and audit, distinct from a canary or a policy cutover.
Platform & Operations
Capacity Planning for AI Agent Fleets
Capacity planning for agent fleets means forecasting token budgets and provider rate-limit headroom, not CPU or memory. A method for doing it right.
Platform & Operations
Visualizing AI Usage and Cost
Charts, dashboards, and cost breakdowns that make AI agent spend legible — from real-time KPIs to anomaly detection and per-team attribution.
Platform & Operations
Canary Releases for Agent Prompts and Instructions
Canary releases for agent prompts route a small share of traffic to a new prompt version and promote on eval score and task success, not just error rate.
Platform & Operations
Blue-Green Deployment for Agent Policies
Blue-green deployment for agent policies means running old and new guardrail and permission bundles side by side, with an instant cutover and instant rollback.
Platform & Operations
Prometheus Metrics and Observability
Praesidia exposes a standard Prometheus metrics endpoint so you can monitor AI agent task throughput, latency, and spend using the tools your team already runs.
Platform & Operations
Beating Alert Fatigue in Agent Monitoring
Alert fatigue in agent monitoring comes from thresholds built for deterministic services. Tune thresholds to your own measured variance instead.
Platform & Operations
Global Search Across Your AI Estate
Search across agents, tasks, connections, workflows, and audit logs from a single entry point — find any resource in your AI estate instantly.
Platform & Operations
Saved Views for Faster Operations
Saved views let AI operations teams restore any dashboard state in one click — cutting investigation setup time and reducing filter errors under pressure.
Platform & Operations
Service Level Objectives for AI Services
Set measurable SLOs for task success rate, latency, and agent availability — then alert before users notice. A practical guide for AI agent deployments.
Platform & Operations
Executive Reports for AI Governance
Turn AI activity into board-ready governance reports covering usage, cost, and risk — with scheduled delivery and export for compliance teams.
Platform & Operations
The Operations Dashboard for Your AI Estate
How an AI operations dashboard correlates agent counts, spend, trust scores, and security events in one view — and what to do when the numbers look wrong.
Platform & Operations
Advanced Analytics for AI Operations
Go beyond basic dashboards: model comparison, cost-per-team allocation, anomaly detection, and compliance analytics for AI operations teams.
Platform & Operations
Analytics and the Event Stream
How a per-interaction event model powers AI agent dashboards, cost attribution, and forensic investigation — without additional collection infrastructure.
AI Governance & Compliance
Tamper-Evident Audit Logs with Cryptographic Proofs
Tamper-evident audit logs use hash-chaining and signed Merkle proofs to give compliance teams independently verifiable records—no platform access needed.
AI Governance & Compliance
GDPR and EU AI Act: A Combined Readiness Programme
How to run one readiness programme covering GDPR erasure and EU AI Act risk classification — shared controls, evidence collection, and the 2026-27 timeline.