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About
Zeet is a comprehensive cloud deployment and operations platform designed to simplify Kubernetes and Terraform management for engineering teams. It brings together CI/CD pipelines, container orchestration, networking, monitoring, and debugging into one intuitive dashboard, eliminating the need to juggle multiple disparate tools. With Zeet, teams can go multi-cloud effortlessly, deploying workloads across AWS, GCP, Linode, CoreWeave, and more without friction. Developers get self-service capabilities like one-click rollbacks, preview environments, and replica scaling, while SREs benefit from audit logs, cluster crash alerts via Slack, and built-in observability. Zeet supports a wide range of workloads, including GPU-intensive ML/AI tasks, databases, scheduled jobs, and serverless applications. It integrates with existing Git repositories and cloud accounts, making adoption seamless without requiring teams to restructure their workflows. Trusted by over 70,000 SREs, DevOps engineers, and developers, Zeet has helped organizations like LiveKit run across three cloud providers simultaneously, dramatically reducing operational overhead. Teams report saving hundreds of engineering hours previously spent on manual cloud management. Whether you're a startup shipping fast or an enterprise managing a complex Kubernetes footprint, Zeet provides the control, flexibility, and speed needed to focus on building product instead of managing infrastructure.
Key Features
- Multi-Cloud Deployments: Deploy and manage workloads simultaneously across AWS, GCP, Linode, CoreWeave, and more from a unified dashboard.
- CI/CD Pipeline Integration: Connect your Git repositories and automate build, test, and deployment pipelines with rollbacks, preview environments, and audit logs.
- Kubernetes & Container Operations: Manage clusters, scale replicas, and operate containerized services including GPU workloads, databases, and scheduled jobs.
- Built-in Observability & Alerts: Get real-time metrics, logging, and Slack-integrated cluster crash alerts to catch and resolve issues fast.
- Developer Self-Service: Empower developers with one-click rollbacks, preview branches, and infrastructure blueprints without requiring deep DevOps expertise.
Use Cases
- A startup engineering team uses Zeet to automate CI/CD pipelines and deploy across multiple clouds, saving hundreds of hours previously spent on manual AWS management.
- An ML/AI company leverages Zeet's GPU workload support to spin up and scale AI inference services on-demand across CoreWeave and GCP.
- A SaaS platform uses Zeet's preview environments and rollback features to enable safe, rapid feature releases without risking production stability.
- An enterprise DevOps team consolidates Kubernetes cluster management, networking, and observability for dozens of microservices into a single Zeet dashboard.
- A platform engineering team uses Zeet's infrastructure blueprints and self-service tools to empower developers to deploy their own services without requiring dedicated SRE support.
Pros
- Unified Platform: Eliminates tool sprawl by combining CI/CD, Kubernetes management, networking, and observability in one place, reducing operational complexity.
- True Multi-Cloud Support: Seamlessly run workloads across multiple cloud providers simultaneously, avoiding vendor lock-in and improving resilience.
- Developer Empowerment: Self-service capabilities let developers own their deployments without burdening SRE teams, accelerating shipping velocity.
- ML/AI Workload Ready: Native support for GPU workloads makes it well-suited for teams deploying machine learning and AI services at scale.
Cons
- Pricing Opacity: Pricing details require contacting sales or requesting a demo, making it harder for small teams to evaluate cost upfront.
- Learning Curve for Smaller Teams: The breadth of features may feel overwhelming for very small teams or solo developers with simple deployment needs.
- Kubernetes Dependency: Teams not already using Kubernetes or Terraform may need to invest time in foundational infrastructure knowledge to fully leverage the platform.
Frequently Asked Questions
What cloud providers does Zeet support?
Zeet supports major cloud providers including AWS, Google Cloud Platform (GCP), Linode, and CoreWeave, enabling true multi-cloud deployments from a single dashboard.
Can Zeet handle ML/AI and GPU workloads?
Yes. Zeet is designed to support GPU-intensive workloads, making it suitable for teams deploying machine learning and AI services that require specialized compute resources.
Does Zeet integrate with my existing Git workflow?
Absolutely. Zeet connects to your existing Git repositories and cloud accounts, allowing you to import clusters and trigger deployments directly from your code pushes without restructuring your workflow.
How does Zeet help with incident response?
Zeet sends cluster crash alerts directly to Slack and provides built-in metrics and logging so teams can quickly detect, diagnose, and resolve production issues.
Is Zeet suitable for startups or only large enterprises?
Zeet serves both startups and enterprises. Startups benefit from fast deployments and reduced operational overhead, while enterprises gain multi-cloud flexibility, audit logs, and SRE-grade tooling.
