Massdriver
At Massdriver, we believe in prevention, not permission, letting ops teams enforce guardrails while developers deploy confidently. Our platform encodes your non-negotiables into self-service modules built with your preferred IaC (Terraform, Helm, OpenTofu, etc.) standardizing infrastructure across AWS, Azure, GCP, and Kubernetes out-of-the-box.
By bundling policy, security, and cost controls into functional IaC assets, Massdriver cuts overhead for ops teams and speeds developer workflows. Through a central service catalog, developers can provision what they need with integrated monitoring, secrets management, and RBAC baked in. No more brittle IaC pipelines; ephemeral CI/CD spins up automatically from each module’s tooling.
Scale faster with unlimited cloud accounts and projects, all while reducing risk and ensuring compliance. Massdriver—fast by default, safe by design.
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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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Rely.io
A live software catalog that maps your entire software ecosystem, unifies your engineering stack, and trains your own custom AI assistant. Simplify complex DevOps questions without wasting hours navigating multiple tools or relying on tribal knowledge. Rely's integrations gather data from various sources like K8s, Terraform, CI/CD, environments, services, and dependencies. This information is then presented in the software catalog, making it easily accessible and providing context. It also centralizes live data on ownership, documentation, deployments, on-call schedules, SLOs, and operational maturity, ensuring everything is always up-to-date. Having a central team to define the software catalog's data model, helps all engineering teams to understand and represent the assets in their software ecosystem. Our platform offers a pre-made data model based on broad research, adaptable to most company needs.
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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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