We have 2 great talks scheduled from Instana and Mesosphere!.
1) Behind the Scenes: Monitoring Stream Based Services:
In this talk, we'll discuss how distributed tracing can help unravel this mystery and demonstrate how Instana monitors a containerized demo application which accepts data through a public endpoint, transforms it, stores it, and retrieves it across multiple services running atop Kafka and mongodb. In this demo we will discuss the technology behind runtime-based production observability and show the audience the benefits and use cases of distributed tracing.
Speaker: Kevin Crawley.
Kevin works in Developer Relations at Instana, a tool which provides automated cloud native application performance monitoring solutions. He speaks internationally on topics including distributed computing, microservices, containers, automation, observability, public speaking, alert fatigue and human ops. He has been distinguished by by his peers as a Docker Captain for his outstanding work with the community and the successful implementation of Docker in Production over the past 4 years.
At his previous jobs he‘s designed and built distributed scheduling systems utilizing Symfony (PHP), Amazon SQS, DynamoDB, and Redshift. His most recent project he was responsible for designing, building and delivering a modern software delivery platform using Go/Angular which was integrated with Docker Swarm and Gitlab. This application is capable of managing phoenix environments and a fully configurable production pipeline and manages the SDLC of over 1000 containers and dozens of engineers building on a Kafka, Cassandra, and Spring Boot stack.
2) "Addressing the Complexities for Running Kubernetes in Production"
Kubernetes adoption is skyrocketing in the enterprise, but once in production, it requires a slew of supporting technologies. Join us as guest speaker from Mesosphere provides insight into fully supported Cloud Native K8s Distributions that address this extremely complicated dilemma. Additionally, we'll hear about automating stateful workloads with K8s Declarative Operators and the value in Mixed Workload Testing.
For Remote attendees, please use this link:
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