The Challenge
Effectively managing and governing a large and spread-out cloud environment has always been a challenge for Reasonlabs.
Reasonlabs Supports millions of global users and continuously updates cyber-security threats to their customers’ assets, which means they release code to production in multiple regions several times a day.
Before ControlMonkey, they were manually reviewing and approving over 100 Git pull requests a day, in order to make sure the provisioned Infrastructure was compliant according to their organization’s Control Policies.
With team members spread over different time zones, communicating and syncing effectively on deployments was a huge challenge for everyone on the DevOps team.
As a DevOps manager, Anton wanted to improve his team’s productivity, gain full visibility over their cloud infrastructure, and accelerate the release to production, without needing to compromise on quality or compliance.
Before ControlMonkey, they tried to develop a solution in-house. But very quickly they understood that developing and maintaining such a robust system would take a lot of time and effort, which they didn’t really have to spare.
ControlMonkey’s Solution
Now with ControlMonkey, the DevOps team at Reasonlabs finally gained full visibility and control over what’s actually running on their cloud.
ControlMonkey’s solution for GitOps Infrastructure CI/CD automatically reviews the pull request and the ControlMonkey Bot tells them exactly where and why it failed, and then they can easily run to fix it, it’s that simple now.
ControlMonkey is the only solution that offers such a robust and complete GitOps CI/CD pipeline that not only validates that their AWS infra is always secure and compliant, but also saves the DevOps team plenty of time and effort, and increases their productivity by 30%.
The Challenge
Effectively managing and governing a large and spread-out cloud environment has always been a challenge for Reasonlabs.
Reasonlabs Supports millions of global users and continuously updates cyber-security threats to their customers’ assets, which means they release code to production in multiple regions several times a day.
Before ControlMonkey, they were manually reviewing and approving over 100 Git pull requests a day, in order to make sure the provisioned Infrastructure was compliant according to their organization’s Control Policies.
With team members spread over different time zones, communicating and syncing effectively on deployments was a huge challenge for everyone on the DevOps team.
As a DevOps manager, Anton wanted to improve his team’s productivity, gain full visibility over their cloud infrastructure, and accelerate the release to production, without needing to compromise on quality or compliance.
Before ControlMonkey, they tried to develop a solution in-house. But very quickly they understood that developing and maintaining such a robust system would take a lot of time and effort, which they didn’t really have to spare.
ControlMonkey’s Solution
Now with ControlMonkey, the DevOps team at Reasonlabs finally gained full visibility and control over what’s actually running on their cloud.
ControlMonkey’s solution for GitOps Infrastructure CI/CD automatically reviews the pull request and the ControlMonkey Bot tells them exactly where and why it failed, and then they can easily run to fix it, it’s that simple now.
ControlMonkey is the only solution that offers such a robust and complete GitOps CI/CD pipeline that not only validates that their AWS infra is always secure and compliant, but also saves the DevOps team plenty of time and effort, and increases their productivity by 30%.
