What is Cortisol?
An open-source and easy to use command-line tool that provides cost estimation and forecasting for main observability tools like Datadog, New Relic, Grafana and GCP Cloud Logging, helping users plan and optimize their log costs pre-production. 💰📉.
Problem
Users need a way to estimate and forecast log costs for observability tools like Datadog, New Relic, Grafana, and GCP Cloud Logging pre-production. The lack of pre-production cost estimation and forecasting leads to unexpected expenses and budgeting challenges.
Solution
Cortisol is an open-source and easy to use command-line tool that provides cost estimation and forecasting for main observability tools like Datadog, New Relic, Grafana, and GCP Cloud Logging, helping users plan and optimize their log costs pre-production.
Customers
The DevOps engineers, system administrators, and developers who work with observability tools and are responsible for monitoring, logging, and cost optimization in pre-production environments.
Unique Features
The unique features of Cortisol include its open-source nature, command-line accessibility, direct support for leading observability tools, and the specific focus on cost estimation and forecasting pre-production.
User Comments
A precise feature set for forecasting costs accurately.
Ease of use for DevOps teams is a game-changer.
Support for major observability platforms is highly valued.
Open-source nature encourages community contribution.
A must-have tool for cost-conscious development environments.
Traction
At the time of analysis, specific traction metrics such as number of users, MRR, or financing were not publicly available.
Market Size
The global cloud monitoring market size was valued at $1.67 billion in 2020 and is expected to grow.
