Best Incident Management Software for Terraform

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.

Port is a platform that allows you to build no-code, holistic, internal developer portals. Port's software catalog includes microservices, custom assets, and can be used with any data model. It also supports in-context maturity scorecards. Portals allow developers to automate workflows and self-service actions.

Squadcast is a tool for incident management that was specifically designed for SRE. Squadcast Actions can help you create a culture of blamelessness by reducing the need to have physical war rooms.

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.

Shoreline is the only cloud reliability platform that allows DevOps engineers to build automations in a matter of minutes and fix problems forever. Shoreline’s modern “Operations at the Edge” architecture runs efficient agents in the background of all monitored hosts. Agents run as a DaemonSet on Kubernetes or an installed package on VMs (apt, yum). The Shoreline backend is hosted by Shoreline in AWS, or deployed in your AWS virtual private cloud. Debugging and repairing issues is easy with advanced tooling for your best SREs, Jupyter style notebooks for the broader team, and a platform that makes building automations 30X faster by allowing operators to manage their entire fleet as if it were a single box. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment.

React to messages by using an emoji. This will automatically pin the message to your retrospective timeline. It is inefficient and inconsistent to memorize and follow hard-to-find incident manuals. Create workflows to set reminders, invite responders, post checklists, send out notifications, etc. Use our Workflow templates to adapt them to your specific incident process. Assign roles so you can quickly see who is doing what. Instantly generate retrospective templates, timelines and incident details. We'll do the rest. Create automated runbooks by using our drag-and drop workflow creator. You can automatically trigger specific runbooks depending on incident conditions such as severity or affected services, instead of scrolling down Google Docs/Confluence.