A FinOps tool will not fix your cloud cost problems, and cost cuts handed to teams can come back bigger. You will learn how to build a FinOps process and roll it out in your organization in phases.
Articles
Episode summaries, lessons from projects and articles on what we implement: AI agents, APIs, observability, FinOps, Azure and Kubernetes.
Tag: choose
- AI agents
- AI agent platform
- API Management
- MCP
- hybrid model
- API Ops
- API security
- case study
- observability
- OpenTelemetry
- Grafana
- PoC
- FinOps
- cloud costs
- governance
- AI assistant
- prompt injection
- coding agents
- Spec Driven Development
- Azure
- landing zone
- agent orchestration
- AI sandbox
- Microsoft Foundry
- Kubernetes
- SRE
- eBPF
- AI Gateway
- API Center
- iPaaS
- Prometheus
- monitoring
- human in the loop
- AI Act
- SDLC
- DevOps
- knowledge base
- cloud migration
- Infrastructure as Code
- HR
- SLO
- Logic Apps
AI and agents
Taking an AI agent from PoC to production: a documented process, system access and a decision after testing
You want to test an AI agent before you invest in a full solution. Prepare a PoC: write down the process, check access to systems, set success criteria and decide after testing.
When monitoring has grown over time as separate islands and per-user licenses discourage broad access, teams look at different systems during an outage. A plan for rolling out a self-hosted Grafana stack in phases.
CPU and memory look fine, yet the business reports that the system is down. See how observability differs from monitoring, what it gives a manager and what a rollout requires.