Software Engineer
Cased
Cased provides a web-based terminal that enables DevOps teams to deploy applications directly from Slack, GitHub, or the command line, while integrating automated deploy analysis and anomaly detection. This platform reduces deployment complexity and enhances team productivity by ensuring real-time visibility and automatic rollbacks during critical production changes.
- Artificial Intelligence
- Developer Tools
- Enterprise Software
- Software Only
Updated 7 months ago
Funding
Raised to date
$10.5MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Deploying applications to production environments can be complex and time-consuming, often requiring specialized DevOps expertise and manual intervention. Monitoring deployments for anomalies and ensuring stability during critical production changes adds further overhead and risk.
Solution
Cased provides a web-based platform that simplifies application deployment and monitoring by enabling DevOps teams to deploy directly from Slack, GitHub, a web interface, or the command line. The platform automates deploy analysis using AI to identify changes being released and detect high-volume anomalies immediately after deployments. Cased also supports automatic rollbacks based on anomaly detection, ensuring stability and minimizing downtime during critical production changes. By integrating with existing CI/CD workflows and providing real-time visibility, Cased enhances team productivity and reduces the complexity associated with application deployments.
Target Audience
Cased targets DevOps teams and software engineers who need to streamline application deployments, improve monitoring, and ensure stability in production environments.
Features
- Deploy applications from Slack, a web interface, GitHub, or the command line
- Branch deploys to increase confidence and velocity by deploying branches to any environment
- AI-powered deploy analysis to understand changes being released
- High-volume anomaly detection to spot spikes during and immediately after deploys
- Automatic rollbacks to revert deployments if a high-volume anomaly is detected
- Integrates with existing CI/CD workflows
- Notifications for every deploy via Slack
- Web UI and API for deployment management