Observability is a notion which has been perceived in different ways by different organizations. During their journey of building Epsagon, Ran realized the importance of correlating these desperate data sources and providing value on top of it. In this episode of talkin' Observability podcast, Jayesh and Ran talk about some very interesting use-cases, customer problems and perceptions around Observability. And yes, you definitely don't want to miss the advice Ran has for you at the end.  

Speaker bio:

Ran Ribenzaft is the CTO at Epsagon, an AWS Advanced Technology Partner that specializes in monitoring and tracing for serverless applications. Ran is a passionate developer that loves sharing open-source tools to make everyone’s lives easier and writing technical blog posts on the topics of serverless, microservices, cloud, and AWS on Medium and the Epsagon blog.

Host:

Jayesh Ahire (@Jayesh_Ahire1) is Founding Engineer/ Product Manager at Traceable where he primarily works on Hypertrace. Jayesh is the AWS ML Hero. 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.

This podcast is Sponsored by Traceable. 

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 evangelising technology, meeting developers and helping in solving their problems. He is a backend developer and has seven years of development experience.

Currently he 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 where he primarily works on Hypertrace. Jayesh is 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.

This podcast is Sponsored by Traceable. 

Observability has different meanings in different contexts and every once in a while, you come across some definition or some perspective which you feel is interesting. Kislay has an interesting perspective of looking towards Observability and in this episode of talkin Observability, we will be discussing with Kislay that why he feels “Observing is not debugging” and also understand his views on event-driven Observability.

Speaker bio:

Kislay(@kislayverma) is currently Software engineer at Cure.fit. He is a technical architect with 13+ years of experience in shipping robust, large scale architectures. In his free time, he writes interesting blog posts which you can find on his website https://kislayverma.com. Kislay also hosts “it depends” podcast (https://anchor.fm/kislayverma) and newsletter (https://kislayverma.com/newsletter-archive/), do check it out as well.

Host:

Jayesh Ahire (@Jayesh_Ahire1) is Founding Engineer at Traceable where he primarily works on Hypertrace. Jayesh is 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.

This podcast is Sponsored by Traceable. 

Observability, for applications, is the design and delivery of data from telemetry signals to provide the ability to infer and discover how the applications (and subsequently, their infrastructure) are behaving. Collecting this telemetry data is one of the most important things when it comes to Observability. In this episode of talkin’ Observability, we will be talking with Pavol Loffay who is one of creators of Hypertrace Java Agent and worked significantly on projects like OpenTelemetry, Jaeger and, Hypertrace, about telemetry data collection, OpenTelemetry project and hear his advice for people who are getting started with Observability.

About Speaker:

Pavol Loffay(@ploffay) is a Senior Software Engineer at RedHat, working on Observability and Tracing cloud native applications. He is a maintainer of Hypertrace, Jaeger and OpenTracing projects. He is one of the creators of Hypertrace Java Agent and contributes to OpenTelemetry Javaagent as well.

Host:

Jayesh Ahire (@Jayesh_Ahire1) is Founding Engineer at Traceable where he primarily works on Hypertrace. Jayesh is 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.

This podcast is Sponsored by Traceable. 

        Service mesh is a way to control how different parts of an application  share data with one another. Unlike other systems for managing this  communication, a service mesh is a dedicated infrastructure layer built  right into an app. Most of the time it acts as a tool for adding  observability, security, and reliability features to applications by  inserting these features at the platform layer rather than the  application layer.
Service mesh provides us a lot of out of the box  capabilities like service discovery and resilience but at the same time  it can also help with Observability. Observability helps us to  continuously monitor the state of the application and determine what’s  going on in the guts of our application, or help us detect when  something goes wrong with the application. Service mesh supports  collection of telemetry data especially metrics, traces and logs which  are pillars of Observability and it can also collect additional  important metrics.
In this episode, we will discuss how service  mesh Observability works and what is the future of it with Wu Sheng who  has been working on service mesh for quite a long time. We will also  understand challenges and give some pointers for people who are getting  started with service mesh Observability.

About Speaker:
Wu Sheng (@wusheng1108) is a Founding Engineer at tetrate.io, leads the observability for service mesh and hybrid cloud. A searcher, evangelist, and developer in  observability, distributed tracing, and APM. He is a member of the  Apache Software Foundation. Love open source software and culture.  Created the Apache SkyWalking project and is its VP and PMC member.  Co-founder and PMC member of Apache ShardingSphere. Also as a PMC member  of Apache Incubator and APISIX. He is awarded as Microsoft MVP, Alibaba  Cloud MVP, Tencent Cloud TVP.

Host:

Jayesh Ahire (@Jayesh_Ahire1) is Founding Engineer at Traceable where he primarily works on Hypertrace. Jayesh is 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.

This podcast is Sponsored by Traceable. 

Distributed Tracing, which is getting a lot of mindshare in the last few years, is now becoming the new foundation of DevOps. Unlike traditional Application Performance Monitoring (APM), Distributed Tracing is intended to address the observability challenges and use-cases in the new microservices world. It is particularly well-suited to debugging and monitoring modern distributed software architectures, such as microservices. It helps pinpoint or isolate where failures occur and what causes sub-optimal performance.

In this discussion, Jose Carlos will talk about how distributed tracing provides the context which metrics and logs don’t and what are different interesting use-cases he came across and challenges he faced while working on tracing in the past few years.

Guest bio: 

José Carlos 'JC' Chávez (@jcchavezs) is a Sr. Software Engineer at Traceable where he works on Zipkin, Hypertrace & OpenTelemetry, and all things tracing! Prior to Traceable, JC worked at Expedia where he contributed to Zipkin and Haystack

Host: 

Jayesh Ahire (@Jayesh_Ahire1) is Founding Engineer at Traceable where he primarily works on Hypertrace. Jayesh is 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.  

This podcast is Sponsored by Traceable. 

Observability plays an important role in a world full of modern  cloud-native applications. It helps us to understand complex  architectures, the root cause of the problems, and performance issues  easily. Observability has a diverse community of open source and  enterprise solutions and every solution has something better to offer on  its own. In this Panel discussion, we will understand our panelists' visions around observability and discuss the challenges that lie ahead.  We will also hear some interesting use-cases and ways companies are  trying to utilize observability to detect problems in their tech stack.

Panelists:

• Sanjay Nagaraj, CTO, Traceable AI |
• Jonah Kowall, CTO of Logz.io |
• Wu Sheng, Founder of Skywalking, Founding engineer@Tetrate, BOD@Apache foundation
  

If you are exploring Observability solutions for your organization and need some help in understanding, join Hypertrace slack and discuss with experts. Hypertrace is Open source distributed tracing and Obervability platform by Traceable.

This podcast is Sponsored by Traceable.