Over the last decade, the cost of Amazon Web Services (AWS) has become a primary concern of businesses. That’s no surprise: AWS has many services that offer a range of IT resources — from IT infrastructure and bandwidth to analytics tools and machine learning — and each affects the total cloud bill.
While AWS offers many fully-managed services like CloudWatch, CloudTrail, Trusted Advisor, etc to help you detect potential cost savings. Understanding and managing cloud costs isn’t simple with AWS.
That’s why, I came up one year ago, with an open source tool called Komiser to help reduce your AWS infrastructure cost based on custom recommendations.
After 1 year of intense development, I’m thrilled to announce the fresh new release of Komiser: 2.0.0 with support of new AWS services:
With the GDPR becoming real in EU, logging and storage of (potentially) personally identifiable information now need to be reduced in many organizations. Komiser allows you to analyze and manage cloud cost, usage, security, and governance in one place. Hence, detecting potential vulnerabilities that could put your cloud environment at risk.
It allows you also to control your usage and create visibility across all used services to achieve maximum cost-effectiveness and get a deep understanding of how you spend on the AWS, GCP and Azure.
Below are the available downloads for the latest version of Komiser (2.0.0). Please download the proper package for your operating system and architecture.
Note: make sure to add the execution permission to Komiser chmod +x komiser and update the user’s $PATH variable.
Komiser is also available as a Docker image:
docker run -d -p 3000:3000 --name komiser mlabouardy/komiser:2.0.0
If you point your favorite browser to http://localhost:3000, you should see Komiser awesome dashboard:
The versioned documentation can be found on https://docs.komiser.io.
Komiser is written in Golang and is MIT licensed — contributions are welcomed whether that means providing feedback or testing existing and new features.
Drop your comments, feedback, or suggestions below — or connect with me directly on Twitter @mlabouardy.