Next9

Next9 is a powerful Reliability Management Platform designed to boost on-call productivity. With its AI based centralized dashboard, it streamlines manual tasks, aligns your team, and accelerates time to resolution. Keep all your on-call activities in one place, improving efficiency and ensuring faster responses to critical issues.


Key Features

- Incident Annotation: Easily tag noisy PagerDuty incidents, add resolution notes, and track follow-up actions to maintain clear communication across shifts.

- Intelligent Alerts & Resolutions: Automatically surface similar alerts and historical resolutions to help engineers triage incidents faster and reduce time to resolution.

- Streamlined Handoffs: Eliminate manual handoff reports with a shift-by-shift on-call summary that streamlines handover conversations, organizing incidents by severity, annotations, or status.

 - Actionable Insights: Gain data-driven insights into your on-call processes, such as metrics on noisy incidents, outdated runbooks, and follow-up tasks, to make informed improvements.

- Slack Integration: Seamlessly integrate with Slack to allow engineers to annotate incidents, take actions, and sync updates in real-time with the Next9.ai dashboard.

Benefits

- Robust communication and knowledge sharing:  Easily tagging noisy PagerDuty incidents and adding resolution notes ensures clear communication across shifts. This improves knowledge sharing, reduces confusion during handoffs, and helps the team track follow-up actions more effectively, enhancing continuity and response efficiency.

- Quicker Time To Resolution: By automatically surfacing similar alerts and historical resolutions, engineers can triage incidents faster and make informed decisions. This feature significantly reduces time to resolution by providing quick access to relevant past incidents and their solutions, helping engineers solve problems more efficiently.

- Process Simplification: The shift-by-shift on-call summary eliminates the need for manual handoff reports, organizing incidents by severity, annotations, or status. This simplifies and accelerates handovers, ensuring no critical details are missed, and enabling smoother transitions between shifts, ultimately enhancing team coordination and reducing errors.

- Actionable Insights: With data-driven insights into on-call processes, including noisy incidents, outdated runbooks, and follow-up tasks, your team can pinpoint areas for improvement. This feature empowers you to make informed decisions to optimize on-call performance, reduce inefficiencies, and continuously improve incident resolution workflows.

Use Case

The on-call process is critical for quickly resolving incidents, but many teams still rely on outdated manual handoff reports. This method is time-consuming, error-prone, and often leads to missed details or confusion. So why are we still using them?

Here’s why manual handoff reports aren’t the best approach:

- Time-Consuming: Writing these reports takes precious time, and engineers risk missing important details or making errors.

- Lost Context: Without clear communication, essential information can get lost during the shift handoff, resulting in slower resolutions and unnecessary delays.

- Fragmented Information: Reports are often scattered across different systems, making it harder to get the full picture of an incident.

Next9 provides an integrated shift summaries in your monitoring too. Here’s how this modern approach can streamline your handoffs:

- Centralized, Real-Time Information – Everything you need in one place, reducing the risk of missed updates.

- Streamlined Conversations – No more “Did we try this?” or “What happened with that incident?” Focus on actionable next steps.

- Annotation-Driven Insights – Detailed notes from previous shifts help ensure continuity and clearer context.

- Automatic Categorization – Incidents are automatically categorized by severity, making it easy to prioritize.

- Smoother Handover – Engineers can dive right into the most urgent issues, without wasting time deciphering reports.