
Opsramp
Opsramp is an AIOps-based IT operations platform that monitors hybrid infrastructure and cloud environments, manages events, and automates incident response for digital operations teams.
OpsRamp is an AIOps-driven IT operations management platform that centralizes monitoring, event correlation, and remediation across hybrid and multi-cloud environments. It discovers and maps on-premises infrastructure, cloud resources, containers, and applications, maintaining an up-to-date configuration and service topology. The platform aggregates metrics, logs, and events from diverse tools and environments, then applies machine learning to reduce noise through event correlation, deduplication, and intelligent alerting.
OpsRamp provides unified dashboards for real-time visibility into service health, performance, and availability. IT teams can define service-level objectives, track compliance, and quickly identify the root cause of incidents using dependency maps and contextual insights. Built-in runbook automation enables teams to standardize and automate common operational tasks, such as restarting services, scaling resources, or applying configuration changes, reducing manual effort and mean time to resolution.
Tags
Launch Team
Alternatives & Similar Tools
Explore 50 top alternatives to Opsramp
Intellectyx AI
Intellectyx AI is a platform that builds and deploys data-driven AI solutions for analytics, automation, and decision support across enterprise applications and workflows.

Cold Email Outreach Tool
Cold Email Outreach Tool is a platform that manages large-scale cold email campaigns using multiple mailboxes, automated warmups, deliverability optimization, and performance tracking.

Adsgency Ai
Adsgency Ai is a platform that uses artificial intelligence to help businesses create, manage, and optimize digital advertising campaigns across multiple channels.

Superannotate
Superannotate is a platform for creating, managing, and iterating data annotation and evaluation workflows to produce training datasets for diverse AI and machine learning applications.
Comments (0)
Please sign in to comment
💬 No comments yet
Be the first to share your thoughts!



