5 Expensive Kubernetes Cost Traps and How to Deal with Them

If you still can’t make sense of your team’s expenses in detail, don’t worry. You’re not the only one out there who struggles to keep costs at bay. To improve your cost control, start by exploring these cost challenges.

1. Calculating Cost Per Container

2. You Pay via Different Cost Centers

3. Tracking Costs Across Clouds Is Not Easy

4. Scaling Complicates the Matter Further

5. Containers Are Way More Dynamic

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50+ Useful Kubernetes Tools for 2020 - Part 2

Introduction

Last year, we provided a list of Kubernetes tools that proved so popular we have decided to curate another list of some useful additions for working with the platform—among which are many tools that we personally use here at Caylent. Check out the original tools list here in case you missed it.

According to a recent survey done by Stackrox, the dominance Kubernetes enjoys in the market continues to be reinforced, with 86% of respondents using it for container orchestration.

(State of Kubernetes and Container Security, 2020)

And as you can see below, more and more companies are jumping into containerization for their apps. If you’re among them, here are some tools to aid you going forward as Kubernetes continues its rapid growth.

(State of Kubernetes and Container Security, 2020)

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Kubernetes: Monitoring, Reducing, and Optimizing Your Costs

Over the past two years at Magalix, we have focused on building our system, introducing new features, and scaling our infrastructure and microservices. During this time, we had a look at our Kubernetes clusters utilization and found it to be very low. We were paying for resources we didn’t use, so we started a cost-saving practice to increase cluster utilization, use the resources we already had and pay less to run our cluster.

In this article, I will discuss the top five techniques we used to better utilize our Kubernetes clusters on the cloud and eliminate wasted resources, thus saving money. In the end, we were able to cut our monthly bill by more than 50%!

• Applying Workload Right-Sizing
• Choosing The Right Worker Nodes
• Autoscaling Workloads
• Autoscaling Worker Nodes
• Purchasing Commitment/Saving Plans

#cloud-native #kubernetes #optimization #kubecost #kubernetes-cost-savings #kubernetes-cost-monitoring #kubernetes-reduce-cost #kubernetes-cost-analysis

Improve Your Cost Management with AWS Saving Plans

The adaptability and flexibility of today’s cloud services present a lot of opportunities to cut infrastructure costs. Amazon Web Services and its plethora of services let you set up any kind of cloud environment for any type of application, without forcing you to make long-term commitments. At the very least, you don’t have to make a big initial investment to set up your cloud environments.

AWS resources are designed to make deploying cloud-native applications easy and affordable. Affordability is always important for businesses because cost-efficient applications guarantee higher returns on cloud investment. The way AWS services are set up allows for easy scaling of apps and cloud resource usage, but keeping your cloud environment efficient is not without its challenges.

#aws #amazon web services #cost #cost optimization #cost analysis #cost management #cost analytics #aws costs

Kubernetes in the Cloud: Strategies for Effective Multi Cloud Implementations

Kubernetes is a highly popular container orchestration platform. Multi cloud is a strategy that leverages cloud resources from multiple vendors. Multi cloud strategies have become popular because they help prevent vendor lock-in and enable you to leverage a wide variety of cloud resources. However, multi cloud ecosystems are notoriously difficult to configure and maintain.

This article explains how you can leverage Kubernetes to reduce multi cloud complexities and improve stability, scalability, and velocity.

Kubernetes: Your Multi Cloud Strategy

Maintaining standardized application deployments becomes more challenging as your number of applications and the technologies they are based on increase. As environments, operating systems, and dependencies differ, management and operations require more effort and extensive documentation.

In the past, teams tried to get around these difficulties by creating isolated projects in the data center. Each project, including its configurations and requirements were managed independently. This required accurately predicting performance and the number of users before deployment and taking down applications to update operating systems or applications. There were many chances for error.

Kubernetes can provide an alternative to the old method, enabling teams to deploy applications independent of the environment in containers. This eliminates the need to create resource partitions and enables teams to operate infrastructure as a unified whole.

In particular, Kubernetes makes it easier to deploy a multi cloud strategy since it enables you to abstract away service differences. With Kubernetes deployments you can work from a consistent platform and optimize services and applications according to your business needs.

The Compelling Attributes of Multi Cloud Kubernetes

Multi cloud Kubernetes can provide multiple benefits beyond a single cloud deployment. Below are some of the most notable advantages.

Stability

In addition to the built-in scalability, fault tolerance, and auto-healing features of Kubernetes, multi cloud deployments can provide service redundancy. For example, you can mirror applications or split microservices across vendors. This reduces the risk of a vendor-related outage and enables you to create failovers.

#kubernetes #multicloud-strategy #kubernetes-cluster #kubernetes-top-story #kubernetes-cluster-install #kubernetes-explained #kubernetes-infrastructure #cloud

5 Cost-Inefficient Kubernetes Traps and Solutions

Understand the challenges Kubernetes poses in cost management and solve the Kubernetes cost optimization riddle with the best practices found in this article.

Cost management gets complicated fast in Kubernetes, and more businesses will face this problem soon. According to Gartner, 75% of companies will be running containerized applications in production by 2022.

If you use Kubernetes on AWS, you’re probably implementing best practices to reduce your bill already. To maximize your cloud cost savings, though, you need to understand the specific challenges Kubernetes poses in cost management and optimization. Read this article to find out what they are and how to handle them.

Why Are Kubernetes Cloud Costs So Confusing?

Before containerization, allocating resources and costs was way easier. You just had to tag resources to a particular project or a team. This was enough for FinOps to determine your typical cost structure and control your budget better. Calculating the total project cost was easier once you mapped the vendor tags and identified the team that owns the project.

Naturally, in this scenario, you’d also be run the risk of overprovisioning your resources. Developers might order more resources than they need to make sure applications run without interruption. As Kubernetes and other containerization tools become more widespread, the traditional process of allocating and reporting on costs doesn’t work anymore. Figuring out Kubernetes cost estimation, allocation and reporting isn’t easy.

If you still can’t make sense of your team’s expenses in detail, don’t worry. You’re not the only one out there who struggles to keep costs at bay. To improve your cost control, start by exploring these cost challenges.

#devops #aws #kubernetes #eks #cloud cost management #cloud cost analysis #spot instances