Best Incident Response Software for GitHub

The Dynatrace software intelligence platform. Transform faster with unmatched observability, automation, intelligence, and efficiency in one platform. You don't need a bunch of tools to automate your multicloud dynamic and align multiple teams. You can spark collaboration between biz and dev with the most purpose-built use cases in one location. Unify complex multiclouds with out-of the box support for all major platforms and technologies. Get a wider view of your environment. One that includes metrics and logs, and trace data, as well as a complete topological model with distributed traceing, code-level detail and entity relationships. It also includes user experience and behavioral information. To automate everything, from development and releases to cloud operations and business processes, integrate Dynatrace's API into your existing ecosystem.

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

Pagerly understands the unique needs of every organization. Our platform allows for extensive customization to tailor the incident-management process to your requirements. Pagerly integrates seamlessly with your existing tech stack, so you don't have to introduce a new tool. Manage all requests and incidents in one window and enjoy all the collaboration features of Slack. When oncall changes, update the team's topic in the channel with the new oncall. You can easily monitor and view the status, progress and resolution time for these tickets. This will ensure prompt action and prevent any potential breaches.

StackPulse automates incident management and response, enabling continuous software service reliability. The StackPulse platform provides SREs, developers, and on-callers with the context and control to analyze, respond, and resolve incidents across all levels of the stack. StackPulse changes the way engineering and operations teams manage software and infrastructure services. Our Platform makes it easy for you to collaborate with a range of incident management tools, including automated war room creation, data capture, and auto-generated postmortems. These incidents provide data that can be used to generate recommendations for playbooks and triggers. This can help reduce MTTR and improve SLO compliance. StackPulse identifies risks based on the unique patterns of your organization's monitoring, infrastructure and operational data. Then, it recommends automated playbooks that are tailored to your company.

Your security operations teams will be empowered with the right expertise and automated response capabilities to meet the demands of the cloud era. Gem provides a centralized approach for dealing with cloud threats. It includes incident response readiness, out-of-the box threat detection, investigation, and response in real time (Cloud TDIR). Traditional response and detection tools are not designed for cloud environments, which leaves organizations vulnerable to attacks and security teams unable to respond quickly enough to meet cloud demands. Continuous real-time visibility to monitor daily operations and respond to incidents. MITRE ATT&CK cloud provides complete threat detection coverage. You can quickly identify what you need and fix visibility gaps quickly, while saving money over traditional solutions. Automated investigation steps and incident response know-how are available to help you respond. Visualize incidents and automatically combine context from the cloud ecosystem.