Best Container Orchestration Software for Prometheus

Amazon Elastic Container Service (Amazon ECS), is a fully managed container orchestration and management service. ECS is used by customers such as Duolingo and Samsung, GE and Cook Pad to run their most sensitive and critical mission-critical applications. It offers security, reliability and scalability. ECS is a great way to run containers for a variety of reasons. AWS Fargate is serverless compute for containers. You can also run ECS clusters with Fargate. 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. ECS is also used extensively in Amazon to power services like Amazon SageMaker and AWS Batch. It is also used by Amazon.com's recommendation engines. ECS is extensively tested for reliability, security, and availability.

D2iQ Enterprise Kubernetes Platform (DKP) Enterprise Kubernetes Platform: Run Kubernetes Workloads at Scale D2iQ Kubernetes Platform (DKP): Adopt, expand, and enable advanced workloads across any infrastructure, whether on-prem, on the cloud, in air-gapped environments, or at the edge. Solve the Toughest Enterprise Kubernetes Challenges 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 * Simplify and Accelerate Kubernetes Adoption * Ensure Consistency, Security, and Performance * Expand Kubernetes Across Distributed Environments * Ensure Fast, Simple Deployment of ML and Fast Data Pipeline * Leverage Cloud Native Expertise

Marathon is a production-grade container orchestration platform that Mesosphere's Datacenter Operating System(DC/OS) as well as Apache Mesos uses. High availability. Marathon runs as an active/passive cluster, with leader election for 100 percent uptime. Multiple container runtimes. Marathon provides first-class support for Mesos containers (using Docker) and Mesos containers using cgroups. Stateful apps. Marathon can bind persistent storage volumes directly to your application. You can run databases such as Postgres and MySQL, and have storage accounted by Mesos. Beautiful and powerful UI. Service Discovery & Load Balancing. Several methods available. Health checks. Use HTTP or TCP checks to assess the health of your application. Subscribe to Events To receive notifications, you will need to provide an HTTP endpoint. This is used to integrate with external load balancers. Metrics. You can query them at /metrics using JSON format. Push them to DataDog, StatsD, and Graphite. Or, you can scrape them with Prometheus.

You can accelerate your development by using a storage platform that integrates with Kubernetes. While you focus on running your application we ensure that you have the persistent volumes you need to give you the stability and scale you require. Integrating stateful storage into Kubernetes will simplify your app modernization process and increase efficiency. You can run your database or any other persistent workload in a Kubernetes-based environment without worrying about managing the storage layer. Ondat allows you to provide a consistent storage layer across all platforms. We provide persistent volumes that allow you to run your own databases, without having to pay for expensive hosted options. Kubernetes data layer management is yours to take back. Kubernetes-native storage that supports dynamic provisioning. It works exactly as it should. API-driven, tight integration to your containerized applications.

Make your Kubernetes autoscaling proactive. PredictKube will help you move from reactive to proactive scaling. Our AI model makes predictions that will allow you to complete autoscaling before load rises. Our AI model can work with your data for up to 2 weeks to provide reliable prediction and autoscaling. PredictKube, a predictive Keda scaler, helps you save time and automates autoscaling. Our KEDA scaler was built using the best technologies for Kubernetes or AI. You can input data for up to 1 week and get proactive autoscaling with AI prediction. This will allow you to scale up to 6 hours per hour. Our AI model can analyze your data and use data from custom and public business metrics to determine the right time for scaling. Access to API is free and all features are available to enable autoscaling.