In the dynamic realm of software deployment, the rise of Cloud native technologies has transformed technological and cultural standards. This shift, while bringing innovation and agility also introduces paradigms and complexities with the interplay of microservices in on-premise, multi and hybrid cloud. To address these challenges, Observability engineering is now a necessity and is crucial for survival in the competitive world of Industry 4.0, AI and cloud native.
Observability Engineering with Cilium dives into the Cloud native ecosystem, exploring observability's core principles and applications. The goal is to delve into the under-addressed aspects of observability critical for cloud-native deployment. It aims to provide a deep understanding of cloud native environments. Throughout, we demystify key definitions, paradigms and shed light on the socioeconomic and sociotechnical change, Conway's Law, maturity models and other less-discussed aspects to guide you in designing, building, and operating a comprehensive Observability platform, leveraging technologies like Kubernetes, service mesh and eBPF and tools like Cilium, Hubble, Tetragon, Prometheus, OpenTelemetry, Cribl, Splunk, Pixie, Falco, Grafana Beyla and Alloy.
By the end, you'll have the tools to level up your knowledge base to become a sophisticated cloud native observability engineer.
You Will Learn:
This Book is for:
Kubernetes specialists, and application architects, as well as CISOs, CTOs, and CIOs who wish to learn how to utilize modern concepts and tools to plan, design and operate a flexible Observability platform that backs you during migration from current state of operation to the cloud native state.
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