AI Governance & Cost Control
AI governance for infrastructure is the set of controls - RBAC, budget limits, audit trails, and compliance policy - that lets AI agents operate infrastructure within safe, attributable boundaries.
Anyone can spin up containers fast. The hard part is making sure agents do not break things. We have seen 500 million dollars in AI credits burned in a single month, entire annual budgets exhausted early, and breaches from over-permissioned AI tools.
AI governance means every agent action is bounded and attributed: who can do what and where (RBAC), how much they can spend (budgets), and a full audit trail exportable to your SIEM - all while meeting SOC 2, DORA, HIPAA, and the frameworks your industry requires.
These guides cover governance, cost control, security architecture, and compliance for AI-driven infrastructure.
$500 Million in One Month: What Happens When AI Has No Guardrails
A company burned $500M in Claude credits because nobody set a limit. Uber exhausted its 2026 AI budget. Microsoft canceled Claude Code licenses. The problem isn't AI - it's the total absence of governance around how people use it.
Shadow IT Is Back - And Vibe Coding Made It 10x Worse
AI coding tools are the new Shadow IT - but instead of rogue Trello boards, they have OAuth access to your code repos, cloud accounts, and production databases. Here's what's already gone wrong, and how platform engineering fixes it.
Secret Manager Integration: One Source of Truth for Humans and Agents.
Production secrets should live in one place and stay there, whether your next deployment is triggered by a developer or an AI agent. The Secret Manager integration connects AWS Secrets Manager, AWS SSM, or GCP Secret Manager to Qovery so secrets are referenced, never copied, and enterprise governance holds regardless of who deploys.
Beyond the spreadsheet: Using GitOps to generate DORA-compliant audit trails.
By adopting GitOps and utilizing management platforms like Qovery, fintech teams can automatically generate DORA-compliant audit trails, transforming regulatory compliance from a manual, time-consuming chore into an automated, native byproduct of their infrastructure.
Zero-friction DevSecOps: get instant compliance and security in your PaaS pipeline
Shifting security left shouldn't slow you down. Discover how to achieve "Zero-Friction DevSecOps" by automating secrets, compliance, and governance directly within your PaaS pipeline.
Qovery Achieves SOC 2 Type II Compliance
Qovery is officially SOC 2 Type II compliant with an Unqualified Opinion. Get the highest assurance of continuously verified security controls for enterprise-grade application deployments and simplify due diligence.
Kubernetes cost optimization: agentic FinOps for enterprise fleets
The three pillars of Kubernetes spend (Compute, Network, and Storage) compound rapidly at enterprise scale. While manual cost-cutting works for a single cluster, managing 1,000+ clusters requires an agentic FinOps approach. By automating resource right-sizing, Spot instance orchestration, and idle environment shutdowns, organizations can eliminate cloud waste without sacrificing production stability.
Railway vs Render vs Your Own Cloud Account: What Actually Fits a Scaleup Outgrowing Managed PaaS
An honest 2026 comparison of Railway, Render, Fly.io and deploying into your own AWS, GCP, Azure or Scaleway account - with the six measurable signals you have outgrown managed PaaS, a priced cost model, and a four-step framework with if-then verdicts.
6 Best Cloud Cost Optimization & FinOps Tools in 2026
Compare the top cloud cost optimization and FinOps tools - Vantage, nOps, CloudZero, CloudAware, PointFive, and Qovery - across spend visibility, Kubernetes rightsizing, and migration cost control.
8 Cloud Governance Automation Tools for Multi-Cloud Kubernetes in 2026
Compare cloud governance automation tools for multi-cloud Kubernetes across policy enforcement, SOC 2 and HIPAA automation, multi-cloud coverage, and CI/CD integration.
Governance Starts at the Network: How We Put AI Agents in Production
AI agents are becoming a new persona in the org chart. Learn how Qovery enforces data control, limited access, and auditability at the network level.
Claude Routines Need a Governed Home: Centralizing What Your AI Agents Can Reach
Claude Routines are a great automation primitive. But the network rules that decide what an agent can reach are set per engineer - and that's the real enterprise risk. Here's why Routines need a centrally governed home.
How the market pulled us into becoming an agentic platform
We didn't decide to become an agentic platform - our customers pulled us there. Here's why infrastructure breaks first when agents show up, the problems nobody planned for, and how to move fast with control.
OpenAI Just Proved Our Thesis: Everyone Is a Builder Now. Here's What Comes Next.
OpenAI reports 5M weekly Codex users - 20% non-developers, growing 3x faster. Six role plugins, hosted Sites, zero enterprise governance. The governed runtime is what's missing.
The Lovable Experience. Enterprise Governance. Your Infrastructure. We Built It.
Introducing the AI Builder Portal - the governed alternative to Lovable and Bolt.new for enterprise. Same one-click builder experience, running on your Kubernetes cluster, under your governance.
Don't Ban the Builders - Govern Them
AI tools turned everyone into a builder. Your sales team, your finance team, your CEO - they're all shipping apps now. The answer isn't to ban them. It's to give them a governed platform they actually want to use.
Agentic AI infrastructure: moving beyond Copilots to autonomous operations
The shift from AI copilots to autonomous agents is redefining infrastructure requirements. Discover how to build secure, stateful, and compliant Agentic AI systems using Kubernetes, sandboxing, and observability while meeting EU AI Act standards
GPU orchestration guide: How to auto-scale Kubernetes clusters and slash AI infrastructure costs
To stop GPU costs from destroying SaaS margins, teams must transition from static to consumption-based infrastructure by utilizing Karpenter for dynamic provisioning, maximizing hardware density with NVIDIA MIG, and leveraging Qovery to tie scaling directly to business metrics.
Inside Qovery’s security architecture: how we secure your cloud & Kubernetes infrastructure
Discover how Qovery bridges the gap between developers and infrastructure with a "security by design" approach. From federated identities and unique encryption keys to real-time audit logs and SOC2 Type 2 certification - see how we protect your data while eliminating vendor lock-in.
Cut tool sprawl: automate your tech stack with a unified platform
Stop letting tool sprawl drain your engineering resources. Discover how unified automation platforms eliminate configuration drift, close security gaps, and accelerate delivery by consolidating your fragmented DevOps stack.
DevOps Guide: Automating HIPAA Compliance on Azure and Qovery
HIPAA compliance on Azure: the BAA, the shared responsibility split, and how to configure identity, encryption and network controls.
AWS HIPAA Compliance: A Comprehensive Guide & Checklist
How to build a HIPAA-compliant architecture on AWS: the shared responsibility model, the BAA, required services and a controls checklist.
How To Automatically Save 24 Days of Infrastructure Maintenance per Quarter
Discover how Qovery helps DevOps and SRE teams save up days on infrastructure maintenance by automating updates, ensuring compliance, and freeing your team to focus on innovation and business growth.
Cloud Cost Optimization Strategies: How to Reduce Cloud Infrastructure Costs
Learn how mid-size companies can dramatically cut cloud infrastructure costs using practical strategies like compute rightsizing, serverless, storage tiering, and automated scaling. This guide also explores how Qovery simplifies and automates cost optimization for growing teams - no full DevOps team required.
Longer, question-shaped articles that work through a single buying decision end to end. They are not listed on the blog index.
Frequently asked
How do you govern AI agents that deploy infrastructure?
How do you prevent AI agents from causing runaway cloud costs?
Speed is easy. Governance is the hard part.
Give agents a governed path to production - RBAC, budgets, and a full audit trail on every operation, on your own infrastructure.