Armakuni Achieves the AWS Cloud Operations Competency

North America, 12 October 2026: Armakuni, an AWS Premier Tier Services Partner, has achieved the AWS Cloud Operations Competency, with validation in two categories: Cloud Financial Management, and Monitoring and Observability. AWS awards Competencies to partners that pass its technical validation and show customer success in a specific area.

The new competency sits alongside Armakuni's AWS AI Competency and AWS Agentic AI Specialization, which cover building AI workloads on AWS. Cloud Operations covers what happens after launch, when those workloads need to run at a predictable cost and the teams operating them need to know what they are doing.

AI has made both of those harder.

On the cost side, inference spend scales with usage rather than provisioned capacity, so monthly bills can move in ways a fixed budget doesn’t anticipate. On the operations side, agent-based systems chain calls across models and external tools, so when something slows down or fails, the cause can sit several steps away from the symptom. Armakuni’s work in the two validated categories addresses each problem in turn.

• Cloud Financial Management. Armakuni makes cost traceable first, through account structure and tagging enforced with Service Control Policies. It then adds budgets, anomaly detection and cost dashboards, and brings spend down through rightsizing and commitment planning. The work uses AWS Cost Explorer, AWS Budgets, AWS Cost Anomaly Detection, AWS Compute Optimizer, Savings Plans and CUDOS dashboards, with Kubecost and Karpenter for Kubernetes workloads.

• Monitoring and Observability. Armakuni combines Amazon CloudWatch with open-source tools such as Prometheus, Grafana and OpenSearch, and APM platforms such as Datadog and Sentry. It picks the mix for each customer based on scale and data ingestion costs.

In both areas, Armakuni trains the customer’s own teams to run what it builds.

"They come because the AWS bill jumped and nobody can explain why, or because an incident took hours to trace. We’re seeing both more often as customers put AI into production, and that’s the work this competency recognises."

A U.S. AI-powered marketing platform ran more than 50 microservices across nine AWS accounts with no way to see which services were driving cost. Armakuni standardised Amazon EKS with GitOps pipelines, consolidated the accounts from nine to four and built CUDOS cost dashboards. Overall cloud spend fell 25% and compute cost 48%, and the platform held 99.996% uptime throughout. Read the case study.

A U.S. CRM platform was having three to four critical outages a month, and each one cost its merchant clients revenue. Armakuni built observability across the platform, with Amazon CloudWatch, Prometheus and Grafana for infrastructure and container metrics, and Datadog for application tracing. Critical outages fell to around one a quarter, and incidents are now resolved in 30 to 60 mins instead of several hours.

To talk through cost or observability on your AWS platform, book a 30-minute architecture review with a senior Armakuni architect.