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UID:01a1989d-2cc6-738a-9b0a-aef2139c92b4@www.devopschat.co
DTSTAMP:20261106T131840Z
DTSTART:20201127T043000Z
DTEND:20201127T053000Z
SUMMARY:Demystifying​ ​Distributed Tracing
DESCRIPTION:--- This is a FREE ONLINE WEBINAR ---\n\nLink to attend event w
 ill be updated before event day :)\n\nDescription:\n\nMicroservices are be
 coming mainstream now and the majority of new applications are developed u
 sing microservices architecture. But they throw some unique challenges aro
 und DevOps and Observability due to following:\n\n● Rise of API ecosyste
 m\n● Application complexity is rising\n● Applications are becoming mor
 e distributed\n● Tech Stack is becoming broader and bigger everyday\n●
  Hybrid and multi-cloud is becoming reality\n● Monoliths to Microservice
 s\n\nDistributed Tracing\, which is getting a lot of mindshare in the last
  few years is now becoming the new foundation of DevOps. Unlike traditiona
 l Application Performance Monitoring (APM)\, Distributed Tracing is intend
 ed to address the observability challenges and use-cases in the new micros
 ervices world.\n\neBPF advancement in Linux kernel brings whole new opport
 unities around kernel and application tracing. eBPF used in conjunction wi
 th distributed tracing unlock many interesting opportunities.\n\nEventuall
 y\, Distributed Tracing will be a new APM\, addressing MELT use-cases comp
 rehensively (Metrics\, Events\, Logs and Traces). It is particularly well-
 suited to debugging and monitoring modern distributed software architectur
 es\, such as microservices. It helps pinpoint or isolate where failures oc
 cur and what causes sub-optimal performance.\n\nIt basically traces a netw
 ork request as it travels through your services\, as it would be in a micr
 oservices-based architecture. One of the main reasons you may want to do t
 his is to troubleshoot or monitor the latency of a request as it travels t
 hrough the different services.\n\nIn this talk\, we will discuss Distribut
 ed Tracing and it’s various use cases in today’s cloud native world al
 ong with Demo of Distributed Tracing using some sample applications!\n\nSp
 eaker Bio:\n\n1) José Carlos Chávez:\n\nJosé Carlos Chávez is a Softwa
 re Engineer at Traceable\, a Hypertrace contributor\, a Zipkin team member
  and a Mathematics student at the University of Barcelona. He enjoys worki
 ng with APIs and distributed systems\, and is the author of official libra
 ries for Zipkin and OpenTracing.\n\nWhile not working with code\, you can 
 find him sipping on craft beers or spending time with his son.\n\nTwitter:
  ​https://twitter.com/jcchavezs\n\n2) Jayesh Bapu Ahire\n\nJayesh is Fou
 nding Engineer at Traceable.ai where he primarily works on OSS project Hyp
 ertrace. Jayesh is the first AWS ML Hero in India. He is the Organizer of 
 AWS UG\, Elastic UG\, TensorFlow UG and Microsoft AI community and many ot
 her communities in India. His research interest involves Distributed Neura
 l computers and he has authored books on Neural Networks\, Reinforcement L
 earning\, and Simulation Hypothesis. His articles are published in renowne
 d publications and endorsed by the community. He has also been awarded a t
 itle of Twilio Champion by Twilio and Most Valuable Blogger by Dzone.\n\nT
 witter: ​https://twitter.com/Jayesh_Ahire1\nLinkedIn: ​https://linkedi
 n.com/in/jayesh-ahire\n\nhttps://www.devopschat.co/meetings/demystifying-d
 istributed-tracing
URL:https://www.devopschat.co/meetings/demystifying-distributed-tracing
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