Compare Amazon EKS vs. Quest Foglight Container Management

Amazon EKS is ranked 13th in Container Management while Quest Foglight Container Management is ranked 16th in Container Management. Amazon EKS is rated 0, while Quest Foglight Container Management is rated 0. On the other hand, Amazon EKS is most compared with VMware Tanzu Build Service, whereas Quest Foglight Container Management is most compared with .
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13th
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33
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16th
Views
2
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1
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0
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0
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Also Known As
Amazon Elastic Kubernetes ServiceFoglight Container Management
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Overview

Amazon Elastic Kubernetes Service (Amazon EKS) is a fully managed Kubernetes service. Customers such as Intel, Snap, Intuit, GoDaddy, and Autodesk trust EKS to run their most sensitive and mission critical applications because of its security, reliability, and scalability.

EKS is the best place to run Kubernetes for several reasons. First, you can choose to run your EKS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, EKS is deeply integrated with services such as Amazon CloudWatch, Auto Scaling Groups, AWS Identity and Access Management (IAM), and Amazon Virtual Private Cloud (VPC), providing you a seamless experience to monitor, scale, and load-balance your applications. Third, EKS integrates with AWS App Mesh and provides a Kubernetes native experience to consume service mesh features and bring rich observability, traffic controls and security features to applications. Additionally, EKS provides a scalable and highly-available control plane that runs across multiple availability zones to eliminate a single point of failure.
EKS runs upstream Kubernetes and is certified Kubernetes conformant so you can leverage all benefits of open source tooling from the community. You can also easily migrate any standard Kubernetes application to EKS without needing to refactor your code.

Using containers to modernize application deployment is about to get a whole lot easier with Foglight Container Management. This powerful solution delivers real-time and historical analytics of containers and their hosts, across physical, virtual and cloud environments, giving you the container monitoring metrics needed to make the optimal choices when it comes to container deployment.

Many IT organizations aim to modernize and “cloud architect” application deployment and management through the use of containers. These standard units of software package up code and all its dependencies so applications can be quickly deployed, scaled and, if needed, reliably migrated from on-premises to a public cloud. Foglight Container Management ensures your ability to onboard, operate and support containerization without the struggle.

Foglight Container Management makes using containers significantly easier by providing real-time and historical analytics of containers and their hosts, across physical, virtual and cloud environments. This container management tool identifies performance bottlenecks, failed containers and issues within the orchestration layer.

Foglight Container Management keeps container data in-context with the supporting infrastructure. This unique approach helps infrastructure teams assimilate container technology more easily by removing the guesswork and hours of troubleshooting normally associated with contention within a container compute and storage platform.

The co-operation and data sharing typically required from DevOps is often impacted by using disparate tools. Foglight Container Management provides a common toolset for infrastructure and application IT staff to see containers in-context with the infrastructure that supports them. With Foglight Container Management, you can ensure optimal container performance through real-time and historical metrics.

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Learn more about Amazon EKS
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Sample Customers
GoDaddy, Pearson, FICO, Intuit, Verizon, Honeywell, Logicworks, RetailMeNot, LogMeIn, Conde Nast, mercari, Trainline, Axway
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