My primary use case for Spot revolves around managing and optimizing my compute infrastructure across AWS, mainly EC2 and EKS on a daily basis, such as monitoring the workloads and ensuring that Kubernetes and EC2 instances are provisioned, scaling, and replacing spot instances for ephemeral tasks. Recently, I have been using Spot for Kubernetes through Ocean, which continuously analyzes pod capacity requirements and adjusts the node groups accordingly. It helps handle node drains, rebalancing, and spot interruption gracefully without requiring custom automation. I have been using it recently for provisioning ephemeral tasks for applications such as stateless applications. Another main use case for Spot revolves around managing ephemeral tasks or stateless application workloads. Additionally, I focus on cost optimization and optimization of my overall work nodes so that I do not need to manage everything or the nodes for my workloads.
I have been using Spot for five years. My main use case for Spot is cloud optimization.We use Spot for optimization by leveraging real-time optimization as well as auto-optimization. The company allows organizations to achieve substantial savings on their cloud spend and helps realize a reduction in costs by 50 to 70 percent. It improves resource utilization and reliability, enhances agility by enabling teams to adapt seamlessly to changing demands, and supports FinOps practices for better financial governance. It integrates with major cloud providers such as AWS and is available in the marketplace, allowing customers to benefit from decreased spend while sellers mutually benefit due to their compensation, which enables us to account plan and achieve the best outcome for the customer. Overall, the main takeaway is that Spot helps the organization maximize efficiency while reducing costs across cloud environments.
Spot by Flexera provides automated cost optimization and container management with multi-cloud integration, achieving up to 70% savings and greater efficiency. It adapts to demand changes using AI-driven insights.Spot enables organizations to optimize cloud infrastructure in environments such as Kubernetes, AKS, EKS, and AWS. It offers advanced automation features for managing resources, leading to reduced overhead and increased production output. Spot's intelligent autoscaling and node...
My primary use case for Spot revolves around managing and optimizing my compute infrastructure across AWS, mainly EC2 and EKS on a daily basis, such as monitoring the workloads and ensuring that Kubernetes and EC2 instances are provisioned, scaling, and replacing spot instances for ephemeral tasks. Recently, I have been using Spot for Kubernetes through Ocean, which continuously analyzes pod capacity requirements and adjusts the node groups accordingly. It helps handle node drains, rebalancing, and spot interruption gracefully without requiring custom automation. I have been using it recently for provisioning ephemeral tasks for applications such as stateless applications. Another main use case for Spot revolves around managing ephemeral tasks or stateless application workloads. Additionally, I focus on cost optimization and optimization of my overall work nodes so that I do not need to manage everything or the nodes for my workloads.
I have been using Spot for five years. My main use case for Spot is cloud optimization.We use Spot for optimization by leveraging real-time optimization as well as auto-optimization. The company allows organizations to achieve substantial savings on their cloud spend and helps realize a reduction in costs by 50 to 70 percent. It improves resource utilization and reliability, enhances agility by enabling teams to adapt seamlessly to changing demands, and supports FinOps practices for better financial governance. It integrates with major cloud providers such as AWS and is available in the marketplace, allowing customers to benefit from decreased spend while sellers mutually benefit due to their compensation, which enables us to account plan and achieve the best outcome for the customer. Overall, the main takeaway is that Spot helps the organization maximize efficiency while reducing costs across cloud environments.
Spot by NetApp is primarily used for backup and also for Fiservware.
We use Spot Ocean to manage our Kubernetes infrastructure, including AKS and EKS.