Observability foundation
Consistent metrics, logs and traces with OpenTelemetry, a service map and the data quality that AI-driven operations depend on.
AIOps / AI DevOps: AI for cloud operations and delivery
We bring machine learning and LLMs into the way your cloud is built and run: fewer and better alerts, faster root cause analysis, self-healing routine incidents and pipelines that catch problems before they reach production.
What we do
Scope of work
Anomaly detection and alert correlation
Models that learn the normal behaviour of your services, flag deviations early and group related alerts into a single incident.
AI-assisted incident analysis
LLM-based assistants that summarise incidents, match them with recent deployments and configuration changes and point to likely causes with links to the evidence.
Automated remediation
Runbooks turned into automated actions (restarts, scaling, failover or rollback) with approval steps where the risk requires it.
AI in CI/CD pipelines
AI-assisted code review, test generation, change risk scoring and release verification built into GitHub Actions, GitLab CI or Azure DevOps.
AI-assisted infrastructure as code
Generating and reviewing Terraform, Helm and Ansible code with AI, combined with policy checks, drift detection and human approval.
Technologies
Typical technologies
We are not tied to any single vendor: we work on public and private clouds and adapt to your environment, licences and team skills. These are the tools we use most often in this area.
AIOps and observability platforms
- Datadog
- Dynatrace
- Elastic Stack
- Grafana
- New Relic
Monitoring and observability
- OpenTelemetry
- Prometheus
- Loki
- Grafana
CI/CD and delivery
- GitHub Actions
- GitLab CI
- Azure DevOps
- Argo CD
- Flux
Infrastructure as code
- Terraform
- OpenTofu
- Ansible
- Helm
Automated remediation
- Ansible
- Rundeck
- StackStorm
- Argo Workflows
Models and platforms
- OpenAI
- Claude
- Gemini
- Llama
Related services
Often combined with this service
- AWS
- Microsoft Azure
- Google Cloud
- OVHcloud
Cloud Development, Deployment, Migration & Maintenance
Cloud-native development, deployment and migration on AWS, Azure, Google Cloud, OVHcloud, Hetzner Cloud, UpCloud and private clouds, followed by maintenance and post-migration cost and performance optimisation.
- AWS
- Microsoft Azure
- Google Cloud
- OVHcloud
AI Infrastructure
GPU-ready, secure and cost-controlled infrastructure for training, serving and monitoring AI models.
- AWS
- Microsoft Azure
- Google Cloud
- OVHcloud
Cloud Cost Optimisation
FinOps practices, rightsizing and commitment planning that cut AWS, Azure and Google Cloud bills without hurting performance.
Let's talk about your project
Tell us where you are today and what you want to achieve. We will suggest a concrete first step, and we can sign an NDA before any technical discussion.