Alternatives to Yandex Serverless Containers

You can use your favorite debugging software to locally troubleshoot your Kubernetes services. Telepresence, an open-source tool, allows you to run one service locally and connect it to a remote Kubernetes cluster. Telepresence was initially developed by Ambassador Labs, which creates open-source development tools for Kubernetes such as Ambassador and Forge. We welcome all contributions from the community. You can help us by submitting an issue, pull request or reporting a bug. Join our active Slack group to ask questions or inquire about paid support plans. Telepresence is currently under active development. Register to receive updates and announcements. You can quickly debug locally without waiting for a container to be built/push/deployed. Ability to use their favorite local tools such as debugger, IDE, etc. Ability to run large-scale programs that aren't possible locally.

Portainer Business makes managing containers easy. It is designed to be deployed from the data centre to the edge and works with Docker, Swarm and Kubernetes. It is trusted by more than 500K users. With its super-simple GUI and its comprehensive Kube-compatible API, Portainer Business makes it easy for anyone to deploy and manage container-based applications, triage container-related issues, set up automate Git-based workflows and build CaaS environments that end users love to use. Portainer Business works with all K8s distros and can be deployed on prem and/or in the cloud. It is designed to be used in team environments where there are multiple users and multiple clusters. The product incorporates a range of security features - including RBAC, OAuth integration and logging, which makes it suitable for use in large, complex production environments. For platform managers responsible for delivering a self-service CaaS environment, Portainer includes a suite of features that help control what users can / can't do and significantly reduces the risks associated with running containers in prod. Portainer Business is fully supported and includes a comprehensive onboarding experience that ensures you get up and running.

AWS Fargate, a serverless compute engine that runs containers, works with both Amazon Elastic Container Service and Amazon Elastic Kubernetes Service. Fargate makes it simple for you to concentrate on building your applications. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources. Fargate also improves security by application isolation by design. Fargate allocates the correct amount of compute, eliminating the need for instances to scale cluster capacity and choosing instances. You only pay for what you use to run your containers. There is no need to over-provision or purchase additional servers. Fargate runs each task and pod in its own kernel, giving them their own isolated computing environment. This allows your application to be isolated from the workload and provides greater security by design.

Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously--depending on traffic. Cloud Run only charges for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.

Kubernetes is the platform for big ideas. The leading enterprise container platform, hybrid cloud, empowers developers to innovate faster and ship more products. Red Hat OpenShift automates installation, upgrades, lifecycle management, and lifecycle management for the entire container stack, including Kubernetes, cluster services, and applications. It can be used on any cloud. Red Hat OpenShift allows teams to build with speed, agility and confidence. You can code in production mode wherever you choose to build. Do the important work. Red Hat OpenShift focuses on security at all levels of the container stack as well as throughout the application lifecycle. It includes enterprise support from one the most prominent Kubernetes contributors as well as open source software companies.

Amazon Elastic Kubernetes Service is a fully managed Kubernetes services. EKS is trusted by customers such as Intel, Snap and Intuit. It also supports GoDaddy and Autodesk's mission-critical applications. EKS is reliable, secure, and scaleable. EKS is the best place for Kubernetes because of several reasons. AWS Fargate is serverless compute for containers that you can use to run your EKS clusters. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources and improves security by application isolation by design. EKS is also integrated with AWS Identity and Access Management, AWS CloudWatch, Auto Scaling Groups and AWS Identity and Access Management, IAM, and Amazon Virtual Private Cloud (VPC), allowing you to seamlessly monitor, scale, and load balance your applications.

Spot Ocean allows you to reap the benefits Kubernetes without worrying too much about infrastructure, while simultaneously gaining deep cluster visibility. This can dramatically reduce costs. The key question is how can containers be used without the operational overhead of managing underlying VMs, while still maximizing the cost benefits associated to multi-cloud and spot instances. Spot Ocean solves this problem by managing containers within a "Serverless” environment. Ocean is an abstraction over virtual machines that allows Kubernetes clusters to be deployed without the need for managing the underlying VMs. Ocean makes use of multiple compute purchasing options such as Spot and Reserved instance pricing. It also has failover to On Demand instances whenever necessary, resulting in a 80% reduction in infrastructure expenses. Spot Ocean is a Serverless Compute Engine. It abstracts the provisioning (launching), autoscaling and management of worker nodes within Kubernetes clusters.

Advanced apps can be run on a managed Kubernetes service that is secured and managed. GKE is an enterprise-grade platform that allows containerized applications to run, including stateful and non-stateful, Linux and Windows, AI and ML and complex web apps. It also supports APIs and backend services. You can leverage industry-first features such as four-way auto scaling and no stress management. Optimize GPU/TPU provisioning, make use of integrated developer tools, and get multicluster support from SREs. Single-click clusters allow you to quickly get started. You can leverage a high-availability control plan that includes multi-zonal clusters and regional clusters. Reduce operational overhead by using auto-repair, automatic-upgrade, or release channels. Secure by default, with vulnerability scanning of container images as well as data encryption. Integrated Cloud Monitoring with infrastructure, application and Kubernetes specific views. You can speed up app development without compromising security.

You code. We take care of the rest. Serverless code can be deployed instantly around the globe to provide exceptional performance, reliability, scale, and scaling. You don't have to configure auto-scaling or load balancers or pay for capacity you don’t use. Traffic is automatically routed to and load balanced across thousands upon thousands of servers. Your code scales seamlessly, so you can rest easy. Every deploy is made to a network data centers running V8 isolates. Cloudflare powers your code. It is only milliseconds from almost every Internet user. To get started building an app, creating functions, or writing an API, choose a template from your language. You will be up and running quickly with our tutorials, templates, and a CLI. Most serverless platforms experience a cold startup every time you deploy your service or increase in popularity. Your code can be run by workers instantly without any cold starts. The first 100,000 requests per day are free. Paid plans start at $5/10,000,000.

Run code as a scalable function in a fault-tolerant and secure environment, without having to create or maintain VMs. The service creates more instances of your function as the number of function call increases. All functions are run in parallel. The runtime environment is hosted on three availability zones to ensure availability even if a zone fails. Configure and prepare functions to be ready for processing loads at all times. This mode allows you avoid cold starts and to quickly process loads of all sizes. Give functions access to VPCs to accelerate interactions with private resources such as database clusters, virtual machine, Kubernetes Nodes, etc. Serverless Functions logs and tracks information about function calls, and analyzes the execution flow and performance. You can also describe the logging mechanisms within your function code. Launch cloud functions synchronized or delayed.

Set up the app using data models, access permission rules, and business logic. Full-stack capabilities deliver the power of services in a familiar front end developer experience. Serverless APIs that scale infinitely and without unexpected costs while maintaining performance. {Speed up your project timelines and bring ideas to life faster.|Accelerate your project timelines to bring ideas to life.} Our experts can help you solve any problem and free up time so that you can focus on developing your application. Digitalize business processes, reduce costs of tech, shorten resources, and decrease operational cost. Reduce communication friction and reduce compliance risks. It can be overwhelming to build a digital product. You don't have to be a coder to build a robust tech system. No-code allows you to quickly and efficiently design and run your tech infrastructure. Connect with a reliable tech infrastructure. SDK allows for easy integration of APIs into UI.

AWS App2Container is a command-line tool that allows you to migrate and modernize Java and.NET applications into container format. AWS A2C analyzes applications running on bare metal, virtual machine, Amazon Elastic Compute Cloud instances (EC2), or in the Cloud. Streamlining application development and operational skills sets will reduce infrastructure costs and training costs. Automate modernization through automatic analysis of applications, and auto-generated container images. Containerize applications running within your datacenter without code changes. Standardize the deployment and operation of your legacy applications. AWS CloudFormation Templates configure the required compute, networking, and security infrastructure. Use pre-created continuous delivery and integration (CI/CD pipelines) for AWS DevOps.

Network isolation via sandboxed container and virtual private cloud (VPC), ensures application runtime security. SAE offers high availability solutions for large-scale events, which require high capacity handling, high scaling, and service throttle and degradation. Fully managed IaaS with Kubernetes Clusters provides low-cost solutions to your business. SAE scales in seconds and improves Java application startup efficiency. One-Stop PaaS that seamlessly integrates basic services, microservices and DevOps products. SAE offers full-lifecycle management of applications. Different release policies can be implemented, including phased release or canary release. You can also use the traffic-ratio-based, canary release model. The release process can be reverted to earlier stages.

Azure Kubernetes Services (AKS), a fully managed service that manages containerized applications, makes it easy to deploy and manage them. It provides serverless Kubernetes and integrated continuous integration/continuous delivery (CI/CD), as well as enterprise-grade security, governance, and governance. You can quickly build, deliver, scale and scale applications using confidence by bringing together your operations and development teams. You can easily provision additional capacity by using elastic provisioning without having to manage the infrastructure. KEDA allows for event-driven autoscaling. Azure Dev Spaces allows for faster end-to-end development, including integration with Visual Studio Code Kubernetes tools and Azure DevOps. Azure Policy allows for advanced identity and access management, as well as dynamic rules enforcement across multiple clusters. More regions are available than any other cloud provider.

The fully managed multicloud Postgres, with a generously free tier. We separated storage from computing to provide autoscaling and branching. We separated computing and storage to enable on-demand scaling. When not in use, compute scales down to zero. Neon Storage uses the "copy on write" technique to provide data branching, checkpointing online, and point-in time restore. This eliminates expensive full-data backup and restore operations required with traditional database-as-a-service systems. Neon allows you branch your Postgres database instantly to support modern development workflows. You can create branches to support test environments and every deployment in your CI/CD workflow. Our serverless architecture reduces storage and computing costs. Neon's autoscaling capability prevents over-provisioning, and paying for instances that are not used.

Knative was created by Google with contributions of over 50 companies. It provides the essential components for building and running serverless applications on Kubernetes. Knative provides features such as scale-to-zero and autoscaling. It also offers in-cluster builds and an eventing framework for Kubernetes-native applications. Knative identifies the best practices of Kubernetes-based frameworks that have been successful, whether they are on-premises or in the cloud. Knative allows developers to concentrate on writing code and not worry about the "boring, but difficult" aspects of building, deploying, managing, or maintaining their application.

kpt is a package-centric, toolchain that allows for a WYSIWYG configuration authoring and automation experience. This simplifies Kubernetes platforms, KRM-driven infrastructure, and Kubernetes platforms at scale by manipulating declarative configura as data, separate from the code that transforms them. Kubernetes users manage their resources using either conventional imperative graphical user interfaces or command-line tools (kubectl), or automation (e.g. operators) that directly operate against Kubernetes APIs or declarative configuration tools such as Helm, Terraform or cdk8s. This is mostly due to familiarity and preference on a small scale. It becomes more difficult to create and enforce consistent configurations and security policies in a growing environment as companies increase the number of Kubernetes production and development clusters they use.

Scale your applications without the need to manage infrastructure. Scale your applications without the need to manage infrastructure. You can stay agile with support for many development languages and a variety of developer tools. You can quickly build and deploy apps using popular languages, or bring your own frameworks and runtimes. You can also manage your resources from the command-line, debug source code and run API backends easily. You can focus on writing code and not having to manage the infrastructure. Firewall capabilities, IAM rules, managed SSL/ TLS certificates can help protect your apps from security threats. You can operate in a serverless environment and not worry about over- or under provisioning. App Engine scales automatically based on app traffic and consumes resources only while your code is running.

Tencent Container Registry (TCR), offers high-performance, secure container image hosting and distribution services. To reduce bandwidth and time, you can create dedicated instances in multiple locations around the world and pull container images from your nearest region. TCR offers data security with granular permission management. Access control is also available. It supports P2P accelerated distributed to break the performance bottleneck caused by concurrent pulling large images by large-scale clusters. This will allow you to quickly expand and update your business. TCR can be customized to set up image synchronization rules. You can also use TCR with your existing CI/CD workflows to quickly implement container DevOps. TCR instance supports containerized deployment. To manage sudden spikes in business traffic, you can dynamically adjust your service capability based upon actual usage.

You can run containers without having to manage servers Azure Container Instances allows you to focus on the design and building of your applications, rather than managing the infrastructure. Containers on demand increase agility With one command, deploy containers to the cloud with unrivalled speed and simplicity. ACI can be used to provision additional compute for your most demanding workloads whenever you require. ACI can be used to elastically burst your Azure Kubernetes Service cluster (AKS) when traffic spikes. Secure applications with hypervisor isolation You can use virtual machines to secure your container workloads while still using lightweight containers. ACI provides hypervisor isolation to each container group so containers can run in isolation and not share a kernel.

Container-based workloads, full GPU support and autoscaling. Custom built solutions. Worker will take care of your jobs so that you can concentrate on your application. Hosted background job solution that allows you to manage your containers with dynamic scale and detailed analytics. You can run short-term containers quickly or containers that need to be used over multiple days. We can help you with any job, no matter how small or large. You can confidently containerize your background tasks. Our shared infrastructure will allow you to run your containers. You can use dedicated hardware to support your workloads. This is a great option if you need consistent performance and throughput. Our autoscale technology allows you to scale up or down depending on your usage. We manage scheduling, authentication, and all other details. You can run workers on your hardware. This is a great option if you have your own infrastructure or have higher security requirements.

The Percona Kubernetes Opera for Percona XtraDB Cluster and Percona Server For MongoDB automates the creation of, alteration or deletion of members within your Percona XtraDB Cluster and Percona Serverfor MongoDB environments. It can be used for creating a Percona XtraDB Cluster, Percona Server For MongoDB replica set or scaling an existing environment. The Operator contains all required Kubernetes settings for a consistent Percona XtraDB cluster or Percona Server to MongoDB instance. The Percona Kubernetes Operators follow best practices in the configuration and setup of a Percona XtraDB cluster or Percona Server to MongoDB replica set. The Operator has many benefits, but the most important is to save time and provide a consistent, vetted environment.

Many components are required to build real-time apps or services. These components include Kafka and VPC hosting, infrastructure code, container orchestration and observability. The Quix platform handles all the moving parts. Connect your data and get started building. That's it. There are no provisioning clusters nor configuring resources. You can use Quix connectors for ingesting transaction messages from your financial processing system in a virtual private clouds or on-premise data centers. For security and efficiency, all data in transit is encrypted from the beginning and compressed using Protobuf and G-Zip. Machine learning models and rule-based algorithms can detect fraudulent patterns. You can display fraud warning messages in support dashboards or as troubleshooting tickets.

We provide a geo-distributed, real-time database, stream processing, and compute runtime for event driven applications across up to 175 global edge data centers. Our platform is loved by API and app developers because it solves the most difficult problems of sharing mutable states across hundreds of locations around the world. We also have high consistency and low latency. Macrometa allows you to surgically expand your existing infrastructure to bring your application closer to your users. This allows you to improve performance and user experience, as well as comply with global data governance laws. Macrometa is a streaming, serverless NoSQL database that can be used for stream data processing, pub/sub, and compute engines. You can create stateful data infrastructure, stateful function & containers for long-running workloads, and process data streams real time. We do the ops and orchestration, you write the code.

You can set policies to manage and control cloud-native environments. This will not affect speed or agility. Budgets can be allocated to specific projects or teams. You can also keep track of costs and manage resource usage. Real-time alerts are generated for overruns. Track the entire asset life cycle, from creation and ownership to modification and termination. Decentralized development teams can be analyzed in detail to determine resource consumption and costs. Developers can then be engaged in creating value for each deployment. You can ensure that microservices, containers and pods as well as Kubernetes clusters have a minimal resource footprint without compromising reliability, availability or performance. Replex allows you the right size Kubernetes instances and Kubernetes nodes based on historical utilization data. It is a single source for all performance-critical metrics.

The cloud-native DBOS OS provides a simpler and more secure way to create fault-tolerant cloud apps. DBOS is the result of 3 years of open source R&D by MIT and Stanford. It revolutionizes cloud native architecture. DBOS is a cloud native OS that uses a relational database as the foundation to simplify today's complex cloud applications stacks. DBOS is the engine behind DBOS Cloud. This serverless platform provides fault tolerance, observability and cyber-resilience to stateful TypeScript apps. OS services are implemented over a distributed DBMS. Stack is simplified by the built-in fault-tolerant, transactional state management. No need for cluster management, workflow orchestration, or containers. Scaling, performance and availability are all achieved with ease. Metrics and logs are stored in SQL tables. Cyber-resilience, self-detection of cyber attacks, and a smaller cyber attack surface.

WebContainers are a browser runtime environment developed by StackBlitz that allows the execution of Node.js apps and operating system commands within a web tab. This technology allows developers create instant interactive coding environments, from tutorials to fully-fledged Integrated Development Environments, without the use of local setups or cloud based virtual machines. WebContainers are client-side applications that offer a unique user experience with zero latency and offline capabilities. They also provide enhanced security by eliminating the risks associated with server side code execution. They are compatible with all major frameworks and support native Node.js tools, such as npm and pnpm. WebContainers also allow WebAssembly to run out of the box. This allows for the porting various languages and frameworks into the browser environment.

With VMware Tanzu Kubernetes grid, you can power your modern applications. For a consistent, secure experience, all developers can use the same K8s in data center, edge, and public cloud. Your workloads should be kept secure and isolated. You can get a complete Kubernetes runtime that is easy to upgrade with preintegrated, validated components. Scale all clusters with no downtime Security fixes can be applied quickly. You can run containerized applications on a Kubernetes certified distribution. This distribution is supported by the global Kubernetes network. Your existing data center tools, workflows, and data centers can be used to provide developers secure, self-serve, access to conformant Kubernetes clouds in your VMware private cloud. You can also extend the same Kubernetes runtime to your public cloud or edge environments. You can simplify operations in large-scale, multicluster Kubernetes environments and keep your workloads isolated. Automate lifecycle management to reduce risk and shift your focus towards strategic work.

Red Hat Openshift Cloud Functions is a FaaS – Function as a service that can be deployed to Openshift. It is based on Knative, a FaaS project within the Kubernetes community. It will allow developers to run code without having to know any details about the underlying platform.

Cloud Foundry makes it easier to build, test and deploy applications faster. It offers a variety of cloud, developer frameworks and application services. It is open-source and available through a variety private cloud distributions as well as public cloud instances. Cloud Foundry uses a container-based architecture to run apps in any programming language. You can deploy apps to CF with your existing tools and without any modifications to the code. With CF BOSH, you can instantly deploy, manage, and manage Kubernetes clusters that are high-availability. You can decouple applications from infrastructure to make individual decisions about where to host workloads. This allows you to move workloads as needed in minutes with no changes to your app.

What is Podman? Podman is a daemonless container engine that allows you to develop, manage, and run OCI Containers on your Linux System. Containers can be run in root or rootless mode. Simply put: alias docker=podman. Manage containers, pods, and container images.

AppFactor reduces the labor and cost that would be required to manually modernize an application. Our platform empowers teams after modernization to deploy, operate and maintain existing applications in a more cost-effective and efficient manner. Increase engineering velocity, upgrade your business-critical apps, streamline innovation and gain a competitive advantage. Transform legacy apps, both physical and virtual, into cloud-native forms to kickstart the iterative modernization, deployment, and improvement of architecture. Intelligently persist runtime relationships and process-toprocess relationships across multiple server hosts in cloud-native architectures. Accelerate legacy apps and integrate them into CI/CD pipelines. Remove old physical and virtual infrastructure, along with the need to maintain operating systems. Modernize your cloud migration as you move to more mature cloud services, such as Kubernetes or PaaS.

With an OCI distribution fully managed and geo-replicated, you can create, store, secure and scan container images and artifacts. Connect across Azure services such as Azure Kubernetes Service, Azure Red Hat OpenShift and Batch. Geo-replication allows you to efficiently manage multiple registry locations. OCI artifact repository to add helm charts, singularity support and new OCI-supported formats. Automated container building, patching, and updates of base images. Task scheduling. Integrate security with Azure Active Directory (AzureAD) authentication, role-based control, Docker content trusted, and virtual network integration. Azure Container Registry Tasks streamlines the process of building, testing and pushing images to Azure.

With over 14,000 clusters of managed production, we are leading the charge. This is just the beginning. Operational visibility into Kubernetes-based services, platforms, and applications. Advanced features to monitor, troubleshoot, create alerts, and build custom dashboards. Cluster level, 30-day retention and natural language processing are all available. High security environment for production workloads. Integrate with advanced IBM services such as AI, Watson and Blockchain to extend your app's capabilities. This is done through an automated, standardized, and secure architecture. This includes Kubernetes secrets that can be managed by customers through IBM Cloud™. Key Protect

Deploying container-based web applications has never been easier. Web App for Containers can deploy containerized apps with your chosen dependencies in production within seconds by pulling images from Docker Hub, Azure Container Registry or private Azure Container Registry. The platform takes care of OS patches, capacity provisioning and load balancing. Automatically scale vertically or horizontally according to application needs. Granular scaling rules can be used to automatically handle peak workloads while minimizing costs at off-peak hours. With just a few mouse clicks, you can deploy data and host services to multiple locations.

Azure Kubernetes Service clusters can easily handle multicluster scenarios, such as workload propagation (for traffic flowing to member clusters) and upgrade orchestration. Fleet cluster allows for centralized management at scale of all clusters. The managed hub cluster will take care of upgrades and Kubernetes configuration for you. Kubernetes configuration dissemination allows you to use policies and overrides for disseminating objects across clusters. North-South load balancer orchestrates traffic across workloads deployed across multiple member clusters in the fleet. Group any combination Azure Kubernetes Service clusters (AKS) to simplify multi-cluster workflows such as Kubernetes configuration dissemination and multi-cluster network. Fleet requires a hub Kubernetes Cluster to store configurations such as placement policy and multi-cluster networking.

Azure Red Hat OpenShift is a highly available, fully-managed OpenShift Cluster on Demand, monitored and operated by Microsoft and Red Hat jointly. Red Hat OpenShift is built around Kubernetes. OpenShift adds value to Kubernetes by bringing additional features, making it an integrated container platform as a Service (PaaS), with a significantly enhanced developer and operator experience. Highly available, fully-managed public and private clusters. Automated operations. Over-the-air platform updates. Use the web console's enhanced user interface to build, deploy and configure containerized applications, as well as cluster resources.

Oracle Container Cloud Service, also known as Oracle Cloud Infrastructure Container Service Classic, offers Operations and Development teams the benefits of Docker containerization for building and deploying applications. Oracle Container Cloud Service: - Provides an easy-to use interface to manage Docker environments - Provides out-of-the box examples of containerized services or application stacks that can all be deployed in just one click - Allows developers to connect to their Docker registries to 'bring their containers' - enables developers to focus on building containerized application images and Continuous Integration/Continuous Delivery (CI/CD) pipelines, not on learning complex orchestration technologies

Red Kubes, a Dutch start up, was founded in 2019 by Sander Rodenhuis and Maurice Faber. After years of operating Kubernetes clusters, we noticed that organizations were having trouble keeping up with the growing complexity of Kubernetes. Otomi Container Platform is our first product. It's a value-added layer that sits on top Kubernetes. This makes Kubernetes fun and easy.

From datacenter to cloud to edge, Rancher lets you deliver Kubernetes-as-a-Service. Rancher is a complete stack of software for teams that adopt containers. It addresses the security and operational challenges associated with managing multiple Kubernetes clusters. It also provides DevOps teams integrated tools to run containerized workloads. Rancher's open-source software allows you to run Kubernetes anywhere, from the edge to the cloud to the datacenter. Rancher is a great choice compared to other Kubernetes management platforms. You don't have to figure Kubernetes by yourself. Rancher is an open-source software with a large user base. Rancher Labs builds software that helps enterprises deliver Kubernetes-as-a-Service across any infrastructure. Our community is familiar with the fact that we can provide world-class support when Kubernetes workloads are running in mission-critical environments.

EKS is community-driven. It supports the latest Kubernetes version and native Kubernetes cluster administration. It is available as a plugin that supports Tencent Cloud products such as storage, networking, load balancers, and other services. EKS is built on Tencent Cloud’s well-developed virtualization technology. It also uses Tencent Cloud’s network architecture to provide 99.95% service availability. Tencent Cloud ensures that EKS clusters are isolated from each other via virtual and network isolation. You can set up network policies for specific products by using security groups, network ACLs, and other options. EKS's serverless framework ensures better resource utilization and lower OPS cost. EKS uses only the resources required by the current load. Flexible and efficient auto scaling makes sure that EKS is only using the resources necessary. EKS can integrate with many Tencent Cloud services such as CBS, CFS and COS, TencentDB products and VPC.

TKE is compatible with all Kubernetes capabilities. It has been adapted to Tencent Cloud’s fundamental IaaS capabilities, such as CVM or CBS. Tencent Cloud's Kubernetes cloud products, such as CBS or CLB, allow for one-click deployment to container clouds for a variety open-source applications. This greatly improves deployment efficiency. TKE makes it easy to manage large-scale clusters, as well as the management and OPS distributed applications. You don't need to use cluster management software. Launch TKE, specify the tasks that you wish to run, and TKE will handle all the cluster management tasks. This allows you to concentrate on developing Dockerized apps.

You can quickly build, deploy, scale, and scale web apps or APIs according to your schedule. You can use.NET Core, Node.js Java, Python, PHP or containers on Windows or Linux. A trusted, fully managed platform that handles more than 40 billion requests per day can meet strict, enterprise-grade performance, security, and compliance requirements. Fully managed platform with infrastructure maintenance, security patching, scaling. Zero-downtime deployments and CI/CD integration built-in. For seamless deployments in public cloud, Azure Government and on-premises environments, Rigorous security and compliance are required, including SOC/PCI. Use the framework language you prefer to bring your code or container. Visual Studio Code and Visual Studio integrate tightly to increase developer productivity. Streamline CI/CD using Git, GitHub and GitHub Actions.

Karpenter simplifies Kubernetes Infrastructure by launching the right nodes when they are needed. Karpenter is a high-performance, open source Kubernetes autoscaler. It simplifies infrastructure management through the automatic launch of the appropriate compute resources for your cluster's application. Karpenter is designed to take advantage of the full cloud potential. It enables Kubernetes clusters to quickly and easily provision compute resources. It increases application availability by quickly responding to changes in the application load, scheduling and resource requirements. It efficiently places new workloads on a variety available computing resources. Karpenter reduces cluster computing costs by identifying opportunities to remove unutilized nodes, replacing expensive nodes with cheaper alternatives, and consolidating workloads onto more efficient resources.

Prioritize the most important risks for your business with clear and actionable insights. Harden your Kubernetes availability continuously. Avoid making the same mistakes as others. Eliminate risks prior to incidents. Keep up-to-date with visibility across your entire infrastructure. Catalog containers, clusters and dependencies. Consolidate insights from cloud, on-prem and more. Receive alerts about all EOL versions and incompatible versions. Never again use spreadsheets or scripts. Chkk's goal is to empower developers to prevent incidents by learning from other developers and not repeating mistakes. Chkk's collective-learning technology collects and curates errors, failures, disruptions, and other known incidents that the Kubernetes Community (including users/operators and cloud providers) have experienced, ensuring past mistakes aren't repeated.

Anthos allows you to create, deploy, manage, and monitor applications from anywhere in a secure and consistent way. Modernize existing applications on virtual machines and deploy cloud-native apps on containers. This allows you to create hybrid and multi-cloud environments. Our application platform ensures consistency in development and operations across all deployments, while reducing operational overhead and increasing developer productivity. Anthos GKE Enterprise-grade container orchestration service and management service to run Kubernetes clusters in any environment, cloud or on-premises. Anthos Config Management: Create, automate, enforce policies across environments to meet your company's unique security requirements. Anthos Service Mesh: Anthos relieves development and operations teams of the burden of managing and securing traffic between services, while monitoring, troubleshooting and improving application performance.

Amazon EKS Anywhere, a new Amazon EKS deployment option, allows you to create and manage Kubernetes clusters anywhere. This includes on your own virtual machines (VMs), and bare metal servers. EKS Anywhere offers an easy-to-install software package that allows you to create and operate Kubernetes clusters. It also includes automation tools for supporting the cluster's lifecycle. EKS Anywhere provides a consistent AWS management experience for your data center. It builds on the strengths and capabilities of Amazon EKS Distro (the same Kubernetes which powers EKS on AWS). EKS Anywhere makes it easy to buy or build your own management tools. It allows you to create EKS Distro clusters and update software. You can also handle backup and recovery. EKS Anywhere allows you to automate cluster management, reduce support cost, and eliminate redundant effort of using multiple open-source or third-party tools to operate Kubernetes clusters. AWS fully supports EKS Anywhere.

SUSE Rancher Prime is designed to meet the needs of DevOps teams who deploy applications using Kubernetes, and IT operations that deliver enterprise-critical services. SUSE Rancher Prime is compatible with any CNCF-certified Kubernetes Distribution. RKE is available for on-premises workloads. We support all public cloud distributions including EKS AKS and GKE. We offer K3s at the edge. SUSE Rancher prime provides easy, consistent cluster operation, including provisioning and version management, visibility, diagnostics, monitoring, alerting and centralized audit. SUSE Rancher Prime automates processes and applies a consistent security and user access policy to all clusters, regardless of where they are running. SUSE Rancher Prime offers a wide range of services to build, deploy, and scale containerized applications. These include app packaging, CI/CD and monitoring.

YAML allows you to declare AWS Lambda functions as well as their triggers using simple abstract syntax. AWS Lambda functions and triggers, as well as code, will be automatically deployed and wired together in cloud. Install thousands of Serverless Framework plugins to create new serverless use cases on AWS. You can track usage, performance, and errors of your serverless applications with powerful, instant metrics. All serverless apps and their resources can be viewed in one place, regardless if they are located in the same region or AWS account. You can easily share secrets and outputs from serverless applications, and delegate AWS account accessibility. The Serverless Framework allows you to deploy many of your most familiar use-cases immediately. You can use the Serverless Framework to create REST APIs in Node.js and Python. Go, Java or GraphQL APIs. Scheduled tasks, Express.js apps, and front-end software are all possible.

Manage, control, secure, and manage the apps, data, and IT that run your business from edge to cloud. HPE Ezmeral accelerates digital transformation initiatives by shifting resources and time from IT operations to innovation. Modernize your apps. Simplify your operations. You can harness data to transform insights into impact. Kubernetes can be deployed at scale in your data center or on the edge. It integrates persistent data storage to allow app modernization on baremetal or VMs. This will accelerate time-to-value. Operationalizing the entire process to build data pipelines will allow you to harness data faster and gain insights. DevOps agility is key to machine learning's lifecycle. This will enable you to deliver a unified data network. Automation and advanced artificial intelligence can increase efficiency and agility in IT Ops. Provide security and control to reduce risk and lower costs. The HPE Ezmeral Container Platform is an enterprise-grade platform that deploys Kubernetes at large scale for a wide variety of uses.