Grindr: Aggregate, Analyze, and Act on 900M Daily API Calls
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Amazon Web Services775 тыс
Следующее
21.07.16 – 2 4231:16Популярные
36 дней – 8984:36
94 дня – 34213:23Опубликовано 21 июля 2016, 17:52
Learn More: amzn.to/2abM3xP
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Monitoring and making sense of infrastructure data can be an arduous process. Managing a volume of API calls from more than one million active users every minute presents an even more complex and demanding challenge. Using Amazon Web Services (AWS) and Datadog, Grindr overcame a series of infrastructure challenges by both implementing and managing highly scalable, high availability, and top performing infrastructure, as well as aggregating, analyzing, and acting on key infrastructure data KPIs.
Datadog is a monitoring service and data platform for Dev and Ops teams in the cloud age.
Join us to learn:
• Which monitoring and deployment challenges Grindr experienced throughout their growth life cycle.
• How to keep alerts actionable when managing both static and burst workloads.
• How to avoid “pager fatigue” in a dynamic and scalable AWS environment.
Who should attend:
IT, Operations, and Development team members who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
- - - - - - - - - - - - - - - - -
Monitoring and making sense of infrastructure data can be an arduous process. Managing a volume of API calls from more than one million active users every minute presents an even more complex and demanding challenge. Using Amazon Web Services (AWS) and Datadog, Grindr overcame a series of infrastructure challenges by both implementing and managing highly scalable, high availability, and top performing infrastructure, as well as aggregating, analyzing, and acting on key infrastructure data KPIs.
Datadog is a monitoring service and data platform for Dev and Ops teams in the cloud age.
Join us to learn:
• Which monitoring and deployment challenges Grindr experienced throughout their growth life cycle.
• How to keep alerts actionable when managing both static and burst workloads.
• How to avoid “pager fatigue” in a dynamic and scalable AWS environment.
Who should attend:
IT, Operations, and Development team members who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
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