Jul 2018
23 Mon
24 Tue
25 Wed
26 Thu 07:45 AM – 06:15 PM IST
27 Fri 07:45 AM – 05:35 PM IST
28 Sat
29 Sun
Jul 2018
23 Mon
24 Tue
25 Wed
26 Thu 07:45 AM – 06:15 PM IST
27 Fri 07:45 AM – 05:35 PM IST
28 Sat
29 Sun
Abhishek Agarwal
At Appdynamics, we have been trying to push the limits to which we can scale the metric ingestion. Toward this goal, we have been taking logical pieces out of monolithic application and re-architecting these pieces to handle large scale.
Initially, we decided to adopt a stream processing platform to port these new pieces to, but later we realized that not all of these pieces are typical real time streaming application. Some of these pieces are regular web services but they also have common concerns such as orchestration, fault tolerance, resiliency, up-scaling/down-scaling etc. In fact, most organizations have this same problem but usually end up deploying different infrastructures for different category of applications. However, operational simplicity and a lean infrastructure were importants concerns for us and motivated us to take a different route.
In this talk, I am going to talk about how modelling our real time data pipelines as asynchronous microservices has allowed us to use same kubernetes infrastrucutre for both data pipelines and regular web services. I will talk on how this unification immensly simplifies our deployment and operations work and keeps our services lean.
Abhishek is Staff Software Engineer at Appdynamics India Pvt Ltd and works on real time stream processing infrstructure at Appdynamics. He is also a core member of the team which is responsible for transitioning appdynamics product from a monolith to asynchronous microservices driven architecture. Previously, he has worked in InMobi user/data platform team. He is also a PMC member of Apache storm.
https://docs.google.com/presentation/d/1Ao1ae14k0qQq8LKWZXCv0UOeL-Ki_JeqE94udFNiFTM/edit?usp=sharing
Jul 2018
23 Mon
24 Tue
25 Wed
26 Thu 07:45 AM – 06:15 PM IST
27 Fri 07:45 AM – 05:35 PM IST
28 Sat
29 Sun
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