Best Incident Management Software for Amazon EC2

New Relic’s enterprise-grade Incident Management software offers a complete solution for promptly detecting, responding to, and resolving incidents. Built for large-scale environments, our unified data platform aggregates telemetry data across your software ecosystem, providing robust full-stack analysis tools to quickly pinpoint issues and identify root causes. With real-time monitoring, automated alerts, and customizable workflows, New Relic enables teams to streamline incident response, reduce downtime, and maintain service reliability. Enhance incident resolution times, improve team collaboration, and deliver exceptional customer experiences with New Relic’s advanced Incident Management capabilities.

PagerDuty, Inc. (NYSE PD) is a leader for digital operations management. Organizations of all sizes rely on PagerDuty to deliver the best digital experience to their customers in an ever-on world. PagerDuty is used by teams to quickly identify and solve problems and to bring together the right people to prevent future ones. PagerDuty's 350+ integrations include Slack, Zoom and ServiceNow as well as Microsoft Teams, Salesforce and AWS. This allows teams to centralize their technology stack and get a holistic view on their operations. It also optimizes processes within their toolkits.

Sedai intelligently finds resources, analyzes traffic patterns and learns metric performance. This allows you to manage your production environments continuously without any manual thresholds or human intervention. Sedai's Discovery engine uses an agentless approach to automatically identify everything in your production environments. It intelligently prioritizes your monitoring information. All your cloud accounts are on the same platform. All of your cloud resources can be viewed in one place. Connect your APM tools. Sedai will identify and select the most important metrics. Machine learning intelligently sets thresholds. Sedai is able to see all the changes in your environment. You can view updates and changes and control how the platform manages resources. Sedai's Decision engine makes use of ML to analyze and comprehend data at large scale to simplify the chaos.

StackState's Topology & Relationship-Based Observability platform allows you to manage your dynamic IT environment more effectively. It unifies performance data from existing monitoring tools and creates a single topology. This platform allows you to: 1. 80% Reduced MTTR by identifying the root cause of the problem and alerting the appropriate teams with the correct information. 2. 65% Less Outages: Through real-time unified observation and more planned planning. 3. 3.3.2. 3x faster releases: Developers are given more time to implement the software. Get started today with our free guided demo: https://www.stackstate.com/schedule-a-demo

Automate service catalogs and alert audits across all your observability tools. Temperstack gives visibility, surfaces issues proactively, and allows collaboration across teams - from CTOs to SRE Engineers. Control metrics, prevent system downtimes, fix issues, and improve the reliability of your system. Visualize dependencies and streamline SLOs to achieve goals. Automate alerts and reduce fatigue. Measure, streamline and accelerate incident resolution. Facilitate postmortems and optimize configurations to cultivate excellence. Temperstack integrates the most popular monitoring software, providing a unified interface for all observability. Operates on most cloud providers. Integrate tools into the entire development toolchain. Experts are available to help you at any time. No heavy lifting of infrastructure is required.