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What is Commando?

Optimize workflows, eliminate barriers, and save precious engineering resources by utilizing only native SSH, without the need for agents or external dependencies. This strategy not only enhances efficiency and security but also significantly lightens the workload. Users gain the ability to run distributed commands across servers via an easy-to-use web-based SSH interface, which includes a detailed activity and audit log that records who executed each command, along with their timing, location, and justifications. Similar to how GitHub transformed version control with its accessible interface and community features, Commando.io redefines server management and DevOps methodologies. Users can effortlessly add and categorize servers, whether they are physical or virtual/cloud-based, as long as they support sshd. Moreover, servers can be methodically grouped based on different parameters, including their functions or geographical positions. Recipes act as version-controlled command containers that can be developed in languages such as bash, terraform, Perl, Python, Ruby, Go, or Node.js. In addition, a centralized repository known as Files enables users to save text or binary files, which can be efficiently transferred to servers through recipes, thus boosting overall operational efficiency. By streamlining the server management process, teams can dedicate more time to their primary responsibilities rather than getting overwhelmed by administrative tasks, ultimately fostering a more productive environment. This enables organizations to leverage their engineering talent effectively while maintaining a focus on innovation and development.

What is AWS Auto Scaling?

AWS Auto Scaling is a service that consistently observes your applications and automatically modifies resource capacity to maintain steady performance while reducing expenses. This platform facilitates rapid and simple scaling of applications across multiple resources and services within a matter of minutes. It boasts a user-friendly interface that allows users to develop scaling plans for various resources, such as Amazon EC2 instances, Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. By providing customized recommendations, AWS Auto Scaling simplifies the task of enhancing both performance and cost-effectiveness, allowing users to strike a balance between the two. Additionally, if you are employing Amazon EC2 Auto Scaling for your EC2 instances, you can effortlessly integrate it with AWS Auto Scaling to broaden scalability across other AWS services. This integration guarantees that your applications are always provisioned with the necessary resources exactly when required. Ultimately, AWS Auto Scaling enables developers to prioritize the creation of their applications without the burden of managing infrastructure requirements, thus fostering innovation and efficiency in their projects. By minimizing operational complexities, it allows teams to focus more on delivering value and enhancing user experiences.