AppDynamics and PagerDuty Team Up to Conquer the World of False Alert Storms
SAN FRANCISCO, April 16, 2013 - AppDynamics, Inc., the next-generation application performance management solution that simplifies the management of complex apps, today announced that its solution is now integrated with PagerDuty, the SaaS-based provider of IT alerting and incident management software. By combining AppDynamics' granular visibility of applications with PagerDuty's intelligent alerting capabilities, customers ensure the right people are proactively notified when business impact occurs, allowing IT teams to get apps up and running as quickly as possible.
"AppDynamics with PagerDuty helps avoid the perils of "false alert storms", which tend to happen with applications experience slow performance and trigger notifications to the support teams, said Alex Solomon, PagerDuty CEO & Co-founder. "Now teams will only receive these notifications when the relevant application is their responsibility. When teams don't have to sift through irrelevant alerts, they can respond to incidents in a timely fashion."
AppDynamics recently extended its application support beyond Java and .NET to include PHP, further cementing its position as one of the leading APM companies in the enterprise. By offering tools that are scaleable and intuitive, AppDynamics has helped solve immensely complex application problems. AppDynamics' new integration with PagerDuty continues this problem-solving approach.
The PagerDuty/AppDynamics collaboration offers the following:
* Easy installation process
* Email notification to an on-call duty schedule that can be overridden for emergencies
* The ability to identify maintenance time to ignore bogus incidents
* Dashboard of incidents with assignments and status
* Options for acknowledging, reassigning, or resolving incidents
* Phone and SMS capabilities to over 170 countries
"PagerDuty is changing the way IT teams are notified of, and how they manage, incidents in their mission-critical applications," said Jyoti Bansal, Founder and CEO of AppDynamics. "AppDynamics with PagerDuty guarantees enterprise-grade alerting, configured for personal preferences. The advanced alert orchestration
features will save customers time, and with time savings come financial savings. This integration will also make life easier for overworked and overstretched ateams."
PagerDuty's SaaS alerting and incident tracking system helps IT operations and DevOps engineers resolve critical errors in their IT systems as quickly as possible. PagerDuty integrates with all IT infrastructure monitoring tools --
such as Splunk, New Relic, Nagios, Zenoss and others -- and handles the people part of the equation: alerting (via phone, SMS, email), on-call scheduling for teams, and automatic escalation of critical issues. Trusted by Fortune 500 companies and startups alike, PagerDuty customers include Microsoft, National Instruments, Electronic Arts, Adobe, Rackspace, Etsy, Square and Github. The company is headquartered in San Francisco and backed by leading venture capital firms Andreessen Horowitz, Baseline Ventures, Ignition Partners andothers. For more information, visit: http://www.pagerduty.com.
AppDynamics is the Application Intelligence company. With AppDynamics, enterprises have real-time insights into application performance, user performance and business performance so they can move faster in an increasingly sophisticated, software-driven world. AppDynamics’ integrated suite of applications is built on its innovative, enterprise-grade App iQ Platform that enables its customers to make faster decisions that enhance customer engagement and improve operational and business performance. AppDynamics is uniquely positioned to enable enterprises to accelerate their digital transformations by actively monitoring, analyzing and optimizing complex application environments at scale.
AppDynamics reserves the right to change any planned features at any time before making them generally available as well as never making them generally available. Any buying decisions should be made based on features that are currently generally available.
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