Best Enterprise Container Management Software

Container management in Google Cloud Run is simplified due to its serverless nature, where Cloud Run automatically handles the deployment, scaling, and management of containerized applications. This means that developers don't need to worry about managing virtual machines or configuring load balancers, as Cloud Run takes care of these tasks on its own. Cloud Run dynamically allocates resources based on incoming traffic, ensuring efficient and cost-effective scaling by spinning up or shutting down containers as needed. New customers can take advantage of $300 in free credits to explore the platform and test various container management options without any initial investment. This makes Cloud Run an ideal choice for businesses seeking to deploy containerized applications while minimizing overhead. Additionally, users benefit from enhanced security and automated patching, providing a more secure environment for containerized workloads.

Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community. Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team. Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is. Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.

Run advanced apps on a secured and managed Kubernetes service. GKE is an enterprise-grade platform for containerized applications, including stateful and stateless, AI and ML, Linux and Windows, complex and simple web apps, API, and backend services. Leverage industry-first features like four-way auto-scaling and no-stress management. Optimize GPU and TPU provisioning, use integrated developer tools, and get multi-cluster support from SREs. Start quickly with single-click clusters. Leverage a high-availability control plane including multi-zonal and regional clusters. Eliminate operational overhead with auto-repair, auto-upgrade, and release channels. Secure by default, including vulnerability scanning of container images and data encryption. Integrated Cloud Monitoring with infrastructure, application, and Kubernetes-specific views. Speed up app development without sacrificing security.

Portainer is an intuitive container management platform for Docker, Kubernetes, and Edge-based environments. With a smart UI, Portainer enables you to build, deploy, manage, and secure your containerized environments with ease. It makes container adoption easier for the whole team and reduces time-to-value on Kubernetes and Docker/Swarm. With a simple GUI and a comprehensive API, the product makes it easy for engineers to deploy and manage container-based apps, triage issues, automate CI/CD workflows and set up CaaS (container-as-a-service) environments regardless of hosting environment or K8s distro. Portainer Business is designed to be used in a team environment with multiple users and clusters. The product includes a range of security features, including RBAC, OAuth integration, and logging - making it suitable for use in complex production environments. Portainer also allows you to set up GitOps automation for deployment of your apps to Docker and K8s based on Git repos.

Telepresence streamlines your local development process, enabling immediate feedback. You can launch your local environment on your laptop, equipped with your preferred tools, while Telepresence seamlessly connects them to the microservices and test databases they rely on. It simplifies and expedites collaborative development, debugging, and testing within Kubernetes environments by establishing a seamless connection between your local machine and shared remote Kubernetes clusters. Why Telepresence: Faster feedback loops: Spend less time building, containerizing, and deploying code. Get immediate feedback on code changes by running your service in the cloud from your local machine. Shift testing left: Create a remote-to-local debugging experience. Catch bugs pre-production without the configuration headache of remote debugging. Deliver better, faster user experience: Get new features and applications into the hands of users faster and more frequently.

D2iQ Enterprise Kubernetes Platform (DKP) Run Kubernetes Workloads at Scale DKP includes everything you need to ease Kubernetes adoption, expand Kubernetes use, and enable advanced workloads across any infrastructure, whether on-prem, on the cloud, in air-gapped environments, or at the edge. Built to Solve the Toughest Enterprise Kubernetes Challenges Created to accelerate the journey to production at scale, DKP provides a single, centralized point of control to build, run, and manage applications across any infrastructure. Enable Day 2 Readiness Out-of-the-Box Without Lock-In DKP takes care of the heavy lifting by providing a comprehensive, enterprise-grade Kubernetes distribution and a full stack of CNCF-certified Day 2 platform applications that are integrated, automated, and tested at scale for an out-of-the-box, production-ready experience.

Container based workloads, full GPU support, autoscaling, custom built solutions. Let Worker take care of your jobs so you can focus on your application. A hosted background job solution that lets you run your containers with dynamic scale, detailed analytics and world class customer support. Run short lived containers quickly, or even containers needing to work across multiple days. Whether it's a one-off job, or one that needs 1000's of workers running in parallel, we've got you covered. Containerize your background tasks with confidence. Run your containers on our shared infrastructure. Dedicated hardware for your workloads. A great option when you need consistent performance and throughput. Our autoscale technology helps you scale up and down based on your usage. You run workers on your own hardware, and we take care of the authentication, scheduling, and everything else. If you have access to your own infrastructure and/or have higher security needs, this is often a great fit.

Single Tenant Public Cloud with all the security, savings and control of private cloud. Fully Managed by Joyent. Single Tenant Security, Full Operations control over your Private Cloud with Installation, Onboarding and Support provided by Joyent. Open Source or Commercial support for on-premises, user managed private cloud. Built to deliver VMs, containers and bare metal. Built to support exabyte-scale workloads. Joyent engineers provide 360 degree support for modern application architectures, including microservices, apis, development frameworks and container-native devops tooling. Hybrid, Modern and Open, Triton is engineered to run the world’s largest cloud native applications.

Apprenda Cloud Platform empowers enterprise IT to create a Kubernetes-enabled shared service on the infrastructures of their choice and offer it to developers across business units. ACP supports your entire custom application portfolio. Rapidly build, deploy, run, and manage cloud-native, microservices, and container-based .NET and Java applications or modernize traditional workloads. ACP gives your developers self-service access to the tools they need to rapidly build applications, while IT operators can very easily orchestrate the environments and workflows. Enterprise IT becomes a true service provider. ACP is a single platform spanning your multiple data- centers and clouds. Run ACP on-premise or consume it as a managed service on the public cloud; both with the assurance of complete infrastructure independence. ACP enables policy-driven control over all of your application workloads' infrastructure utilization and DevOps processes.