Tim analyzes and forecasts AWS costs in real-time so you can get ahead of anything that would rack up the AWS bill.
Enabling developer autonomy while scaling your cloud costs sustainably has never been easier.
Taloflow provides a highly configurable Grafana dashboard. Drill into your data how you want to by tags, service, region, container, etc. You can look at your spend velocity in 1-hour to weekly intervals, and virtually any perspective on cost you need is available to you.
Accidents happen. In a complex environment with continuous deploys it's easy for anyone to push bad code. While it's easy to find out when your service is down it's difficult to find out if you're accidentally overspending on resources. Tim uses machine learning to help detect anomalies in real-time so you can find mistakes and resolve them before they rack up your bill.
While your application and engineering team works around the clock, the AWS cost report has always had long delays. That's why we've built a real-time running cost feature that allows you to know your AWS spend in real-time before and between the bill.
When something hits the fan, dollars keep burning while you find a fix. Why should you have to wrangle information from disparate teams, services and tools to get a timely answer? That's why we made it super easy to tie your events from any deployment or CI/CD tool (e.g.: Jenkins, CloudFormation, Terraform, GitHub Actions) to spend anomalies.