Next9.ai is an advanced centralized dashboard solution built to optimize and streamline your engineering team's on-call workflows. By eliminating time-consuming data gathering and manual reporting, Next9.ai empowers your team to resolve incidents with greater speed and efficiency. Designed with simplicity and effectiveness in mind, Next9.ai provides a suite of powerful features that allow engineers to stay focused on critical issues while minimizing the overhead of administrative tasks. From tracking incidents and resolutions to streamlining handoffs between shifts, Next9.ai helps your team collaborate seamlessly and make faster, more informed decisions.
Incident Annotation: With Next9.ai, engineers can easily tag noisy PagerDuty incidents, add resolution notes, and track follow-up actions. This ensures that communication remains clear and consistent across shifts, helping the team stay aligned and reducing confusion during handovers. By having all necessary context at your fingertips, engineers can quickly pick up where others left off and resolve incidents more efficiently.
Intelligent Alerts & Resolutions: Next9.ai automatically surfaces similar alerts and historical resolutions, allowing engineers to quickly triage new incidents based on prior experiences. By providing access to past incident resolutions and relevant patterns, this feature significantly reduces time to resolution and allows your team to leverage past knowledge for faster, more accurate troubleshooting.
Streamlined Handoffs: Say goodbye to manual handoff reports. With Next9.ai's shift-by-shift on-call summary, you can automatically organize incidents by severity, annotations, or status, ensuring that handovers are smooth and thorough. This helps reduce the risk of important information slipping through the cracks and ensures that incoming engineers have all the context they need to handle incidents swiftly.
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Based on our record, PagerDuty seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Our team at PagerDuty has a number of open source repositories for our Ops Guides. These are a bunch of online docs that we created and manage about topics we think will help folks who use our products. The projects are stable; they don’t get much in the way of additions, outside pull requests, or issues, which means we’re not watching them too closely. So, when something does come in, we’d like to know about it... - Source: dev.to / over 2 years ago
Koblime uses Sentry (https://sentry.io) to detect crashes and performance issues and PagerDuty (https://pagerduty.com) to send me an alert. The data tells me if an issue is isolated to a single region or user or if it's a site-wide outage. PagerDuty alerts me if something is wrong (because it's impractical for me to watch r/kobo or r/koblime for issues 24/7). The performance logs tell me if I'm overspending on the... Source: over 2 years ago
In this tutorial, we're going to walk through together how to build our very own Incident Management Tool like Incident.io or PagerDuty. We can then have our own on call schedule that can be rotated between many users, and have incidents come and be assigned according to the schedule! - Source: dev.to / over 2 years ago
If you’re familiar with PagerDuty, you probably associate it with alerts about technical services behaving in ways they shouldn’t. Maybe you yourself have been notified at some point that a service wasn’t available, was responding slowly, or was returning incorrect information. That’s the common use of a service in the PagerDuty platform. - Source: dev.to / over 2 years ago
Hi everyone! Welcome to the PagerDuty Community Weekly Update! Here you’ll find what’s going on in PagerDuty land. - Source: dev.to / over 2 years ago
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