OrbOps AI
OrbOps AI is an agentic infrastructure operations platform for DevOps, SRE, Platform Engineering, Cloud, and Security teams. O2 AI uses specialized AI agents to coordinate and automate workflows across CI/CD, releases, incidents, on-call, infrastructure, Kubernetes, security, access governance, provisioning, observability, and FinOps.
The platform brings together context from source code, cloud infrastructure, Infrastructure as Code, monitoring, security, identity, and cost-management systems to help teams investigate issues, prepare deployment plans, correlate alerts, understand dependencies, and automate repetitive operations.
OrbOps AI follows an Observe → Reason → Plan → Approve → Act → Verify model, combining agentic automation with human and policy controls for critical infrastructure actions. It is designed to work with existing DevOps ecosystems including GitHub, GitLab, Terraform, Kubernetes, AWS, GCP, Azure, Prometheus, Grafana, OpenTelemetry, PagerDuty, and Jira.
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VictoriaMetrics Cloud
VictoriaMetrics Cloud allows users to run the Enterprise version of VictoriaMetrics, hosted on AWS, without the need to perform typical DevOps tasks such as proper configuration, monitoring, log collection, access protection, software updates, and backups.
We run VictoriaMetrics Cloud instances in our environment on AWS and provide easy-to-use endpoints for data ingestion and querying. The VictoriaMetrics team takes care of optimal configuration and software maintenance.
It comes with the following features:
It can be used as a Managed Prometheus - configure Prometheus or Vmagent to write data to Managed VictoriaMetrics and then use the provided endpoint as a Prometheus data source in Grafana;
Every VictoriaMetrics Cloud instance runs in an isolated environment, so instances cannot interfere with each other;
VictoriaMetrics Cloud instance can be scaled up or scaled down in a few clicks;
Automated backups;
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Massdriver
Massdriver is an internal developer platform and platform orchestrator. Platform teams publish the Terraform, OpenTofu, and Helm they already write to a catalog; developers and AI agents provision from it with policy enforced before every deploy. Self-hosted or managed.
Platform and operations teams encode their security, compliance, and cost requirements into pre-approved modules using the IaC tools they already use. Developers and AI agents discover and provision those modules from a central catalog, and policy is checked before anything is created. Built-in secrets management, monitoring, and attribute-based access control cover AWS, Azure, GCP, and Kubernetes.
Massdriver generates an ephemeral pipeline per deploy from each module's own tooling, so there are no standing CI/CD pipelines to maintain. Run it self-hosted, on-prem, or in your cloud, or let Massdriver manage it for you.
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NudgeBee
NudgeBee is an AI Agents and Agentic Workflow platform built for SRE, CloudOps, and DevOps teams. It combines pre-built AI Assistants for incident troubleshooting, cloud cost optimization, and Kubernetes operations with a visual no-code Workflow Builder for custom automation. NudgeBee's AI engine auto-investigates alerts using a live semantic Knowledge Graph, grounded in your actual infrastructure topology. It queries data in place from existing tools (Prometheus, Datadog, Grafana, Loki) with zero data ingestion. The Workflow Builder supports 20+ action categories, native AWS/Azure/GCP CLI nodes, A2A and MCP protocol support, and human-in-the-loop approval gates. 49+ integrations. Enterprise-ready with RBAC, audit trails, BYOM (Bring Your Own Model), and self-hosted deployment. SOC-2 Type II and ISO 27001 compliant.
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