February 2024
Intermediate to advanced
64 pages
1h 28m
English
Overview
Cloud native technologies allow you to build scalable, resilient, and novel software architectures with idiomatic backend systems. Cloud native observability, on the other hand, measures how well you understand the total state of your system, with all of the complexities of highly interlinked, flexible, and scalable components running in containers on a microservices architecture in the cloud.
With this insightful guide, authors Kenichi Shibata, Rob Skillington, and Martin Mao take you through the differences between traditional and cloud native system observability. SREs, cloud native engineers, CIOs, and CTOs will learn that while many principles of cloud native and traditional systems are similar, highly scalable and dynamic cloud native systems present unique challenges to overcome.
In four succinct chapters, this report helps you explore:
- Cloud native's impact on observability: Learn how interlinked, highly flexible, and dynamic cloud native systems present new observability challenges.
- Challenges of cloud native in the real world: Understand performance on growing observability data.
- Observability data growth and complexity: Learn the impact of uncontrolled data growth and weigh practical mitigation strategies.
- Implementations of open source cloud native telemetry standards: Explore the rise of de facto standards like Prometheus, OpenTelemetry, and more.
Kenichi Shibata is a cloud native architect at esure.
Rob Skillington is the cofounder and CTO of Chronosphere.
Martin Mao is the cofounder and CEO of Chronosphere.
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