For the first time you don't have to wait for the worst when you push a change. Discover and detect the risks you can't see. Overmind gives you the insight of a post-mortem without the fallout of broken infra.
Terraform tells you what it’s going to change, but not whether this change will break everything. Teams need to understand dependencies to properly understand impact.
Due to the reliance on “tribal knowledge”, expert staff are stuck doing approvals rather than productive work and newer staff take longer to become productive.
Outages are not caused by simple cause-and-effect relationships1. More often than not downtime is a result of dependencies people didn’t know existed.
IaC and automation means that changes spend substantially more time in review and approval steps then the change itself actually takes.
DevOps professionals dread the risk of post-deployment system failures, with manual reviews often missing the critical faults that lead to downtime. Overmind addresses this tension head-on, offering an automated pre-mortem platform that analyses and alerts you to potential issues before you commit to a change, allowing teams to deploy with confidence.
High severity risk identified in infrastructure cha...
Overmind maps your AWS & Kubernetes* dependencies in real-time using read-only access. The blast radius uncovers dependencies that you didn’t know existed, even if they were created manually by people who have left the company.
Take the guesswork out of identifying risks. Overmind only shows you relevant information meaning you can make deployment decisions within minutes not hours.
Overmind calculates the diff of your changes in real-time. Confidently move on post change without the fear of needing to trawl through logs or metrics, or stay glued to dashboards.
Use a Run Tasks integration to calculate the blast radius and risks for each Terraform run. Then track your changes after deployment to ensure there are no unexpected changes.
Try out the new Overmind CLI today for free.
No agents, 3 minute deployment.