gMaestro – Make your Kubernetes cost optimization easy

gMaestro is a free tool launched by Granulate to make Kubernetes cost optimization easy. Kubernetes is used in a wide range of companies to manage their containers based on its benefits. But, there are some challenges on Kubernetes for managing resources and costs. gMaestro can reduce the costs of over-provisioning and mismanaged, idle, and forgotten resources.

Kubernetes is the best open-source platform for containerized workloads and services that have declarative configuration and automation benefits. But it’s challenging when it comes to cost optimization and resource management. gMaestro is a way to overcome these challenges. gMaestro provides:

• Kubernetes cost optimization – gMaestro can reduce cost by 60%. Users can directly apply for HPA, CPU, and memory request changes.
• Avoid over-provisioning – gMaestro can be used to gain visibility into Kubernetes clusters.
• Optimal performance – It’s easy to achieve performance. There is no need to compromise performance matrices and so you can offer competitive SLAs.
• No limitations – It works with HPA and different resource reservation sizes and cluster autoscalers. gMaestro autonomous, continuous workload and pod rightsizing.

gMaestro can manage resources and optimise cost by 60% on Kubernetes. gMaestro works on different platforms including AWS, OpenShift, Kubernetes, Azure and Google Cloud Platform. gMaestro can simply be installed with a single line of code. And it allows users end-to-end overview of Kubernetes clusters which helps to eliminate over-provisioning and reduce cost.

Containers have provided more flexibility for running cloud-native applications on physical and virtual infrastructure. A container is a software package that is portable across different computing environments. Containers draw on resources of the host OS, they are much lighter weight than virtual machines and so containers efficiently use underlying infrastructure. Container runtime APIs are well suited for a single container.

Do you think about hundreds of containers? Don’t be overwhelmed.! Here comes the solution ‘Kubernetes’ for your confusion.

Kubernetes also known as K8s is open-source software that automatically manages, scales, and maintains multi-container workloads in desired states. Containers are a good way to bundle and run your applications. But you need to manage containers and make sure that they are not downtime. A system like Kubernetes makes this job easier. Kubernetes provides you,

• Compute scheduling by considering the resource needs of your containers, to find the right place to run them automatically.
• If a container crashes, Kubernetes self heals by replacing the container with a new one.
• Horizontal scaling by adding or removing instances as needed.
• Automated rollouts and rollbacks – During updates, the health of your new instances are monitored, and if a failure occurs, it can roll back to the previous version automatically.
• It distributes workloads to a set of nodes that run containerized applications and automates dynamic container networking needs.
• Kubernetes allows you to allocate the storage system of your choice.
• Secret & configuration management. Kubernetes helps you to store and manage sensitive information.

Kubernetes is a better solution for container orchestration. Kubernetes provides some generally applicable features like deployment, scaling, load balancing, and lets users integrate their logging, monitoring, and alerting solutions. In the user point of view K8s conserve user choice and flexibility. Kubernetes have no limitations on types of applications. And this may affect workloads. It cannot build your application, workflows are determined by organization clusters. And it does not provide machine configuration, maintenance management or self healing system.

Kubernetes is good at managing container environments and reducing development time. But it has limitations in the case of cost optimization and resource management. Granulate introduced a free tool for these limitations, ‘gMaestro’, which is installed just by a single line of code. gMaestro provides DevOps, SREs and FinOps full visibility into their Kubernetes clusters hence it reduces over-provisioning and cost optimization.