Autonomous Operations- Intelligent Automation for IT Ops0 reviews
Managing IT incidents is no easy feat, especially if you’re working with complex or disparate environments. Events, dependencies, machines, and infrastructures need to be managed and understood, and using several different applications to do just that is pretty much the norm rather than the exception. The result is that whenever new code is deployed or an infrastructure change is implemented, an avalanche of monitoring alerts ensues, bogging most IT teams down.
BigPanda maximizes the effectiveness of the monitoring tools you already have by consolidating all your alerts in one place. It correlates all IT events and makes root cause analysis faster and less tedious than manually sorting through your alert streams to make sense of what’s going on. It provides a centralized location where you see critical incidents next to code deployments or infrastructure changes.
Different teams have different monitoring requirements. For example, network operation centers need complete IT stack visibility; application developers only need alerts relevant to the app they’re working on; the database team needs database performance tracked across data centers and cloud environments; and service level administrators only need to monitor service level agreements.
BigPanda’s custom monitoring feature enables users to create monitoring views specific to any data center, application, customer, team, or business service. This allows teams to focus their energy on alerts that matter to them.
One failure is all it takes to create a stream of related failures. And you know what happens next: a storm of monitoring notifications that can both be critical or just noise. BigPanda’s clustering engine not only standardizes your monitoring alerts from multiple monitoring applications into one data model, it also automatically analyzes your alert feed in real time, determines the relationships between alerts, and groups them together into a list of high-level incidents.
Out-of-the-box alert consolidation is available with no setup, and BigPanda’s data consolidation algorithms can be taught to accommodate infrastructure and application requirements that are unique to your needs.
Because BigPanda consolidates related alerts and correlates them to infrastructure changes, code deployments, runbooks, time-series metrics, and other data in real time, identifying critical incidents, including the hows and the whys, becomes a quicker and less tiresome process. The app provides not just high-level incidents but also a deep dive into each alert, with embedded links to the monitoring tools the alerts originated from for more insights.
Access to data critical to the decision-making process, e.g., real-time activity log, historical alerts, notes, and other metrics such as top problematic apps, machines, and services – can be done in a few clicks. BigPanda also comes with a search and filtering mechanism that simplifies the way you look for alerts and incidents across your monitoring system. In the search bar, simply enter the logical subset you want.
BigPanda not just integrates with monitoring and deployment tools, it connects with ticketing systems and collaboration solutions as well. This means you can automatically create and assign tickets via JIRA, ServiceNow, PagerDuty, Zendesk, or BMC Remedy and share incidents with other team members through HipChat, Slack, Asana, SMS, or email.
Tickets are always up-to-date and you know who’s working on what, while you can access real-time activity logs and shared notes to keep everyone on the same page.
Most popular features of all IT Management apps