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Join us for the DevNetwork Dev Professional Series —

Episode #06:
Solving the Hidden Costs of Kubernetes with Observability

Featuring:
Parker Edwards — Solutions Engineering Manager, Lightstep

Kubernetes has enabled software organizations to realize the benefits of microservices through its convenient and powerful abstractions. Deploying, scaling, and running distributed software at scale is much easier through the use of Kubernetes.
However, these benefits have not come without costs compared to traditional software operations. Spiraling monitoring expenses, the creation of single points of human failure, and a lack of understanding of service dependencies all contribute to significant hidden costs associated with running software with Kubernetes.

In this webcast, we’ll discuss

- How observability addresses these costs and helps you quantify and understand them.
- How new open source tools such as OpenTelemetry can help you understand performance of cloud-native software.
- How you can easily get started using them today.

Come be a part of the future of cloud-native observability!
Agenda
  • How observability addresses these costs and helps you quantify and understand them.
  • How new open source tools such as OpenTelemetry can help you understand performance of cloud-native software.
  • How you can easily get started using them today.
Presenter
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Parker Edwards
Solutions Engineering Manager
Parker Edwards currently manages the Global Solutions Engineering team at Lightstep. Parker developed an affinity for understanding software performance at New Relic, before leaving to start a Solutions Engineering practice at Lyft Enterprise. As a user of Lightstep at Lyft he saw firsthand the insights that tracing could provide engineers at scale and started working at Lightstep in 2017 as a Solutions Engineer. There, he was able to help organizations like Under Armour, Zalando, Skyscanner, and FactSet integrate Observability into their application architectures and DevOps processes. Parker has a dog named Granger that is equally excited about enabling engineers to understand their complex application environments.
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