Observability should be in culture!

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Presented by

Jayesh Bapu Ahire - Hypertrace | Aravind Putrevu - Elastic

About this talk

Observability as a notion evolved a lot over the past few years. What many organizations getting started with Observability sometimes don’t understand is you can’t just build systems and later on spend time in making them “Observable”. While building modern organizations, we should consider Observability as a part of development culture itself. In this podcast, Aravind and Jayesh will be talking about what are interesting use-cases people are solving with Observability and how Observability should be the part of culture itself! Speaker bio: Aravind(@aravindputrevu) is passionate about evangelizing technology, meeting developers and helping in solving their problems. He is a backend developer and has seven years of development experience. Currently Aravind works at Elastic as Developer Advocate and looks after the Developer Relation function of India. Previously, He worked at McAfee Antivirus as a Sr. Software Engineer in Cloud Security Domain. He has deep interest in Search, Machine Learning, Security Incident Analysis and IoT tech. In his free time, he plays around Raspi or an Arduino. Aravind also has a newsletter you should definitely subscribe to here. Host: Jayesh Ahire (@Jayesh_Ahire1) is Founding Engineer/ Product Manager at Traceable AI where he primarily works on Hypertrace. Jayesh is the first AWS ML Hero in India, and youngest one to receive the title to date. He is the organizer of AWS UG, Elastic UG, TensorFlow UG and Microsoft AI community and many other communities in India. His research interest involved Distributed neural computer and DeFi. He is also one of the few Twilio Champions and MVB at Dzone. For more information on Observability and Open Source Distributed Tracing, visit: https://www.hypertrace.org For information on API Security and how to understand, and improve, the security posture of your applications and APIs, visit: https://traceable.ai

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Traceable enables security to keep up with engineering and the continuous pace of change and protect modern applications from modern threats. Traceable applies the power of machine learning and distributed tracing to understand the DNA of your APIs, how they are changing, and where there are anomalies in order to detect and block threats, making businesses more secure and resilient.