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Cloud Native Infrastructure with Azure
Cloud Native Infrastructure with Azure
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€65.99
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A01=Michael Kehoe
A01=Nishant Singh
Age Group_Uncategorized
Age Group_Uncategorized
Author_Michael Kehoe
Author_Nishant Singh
automatic-update
Category1=Non-Fiction
Category=UTC
COP=United States
Delivery_Delivery within 10-20 working days
Distributed tracing
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Immutability
Infrastructure as Code
Kubernetes
Language_English
Observability
PA=Available
Price_€50 to €100
PS=Active
Self Healing
Service Mesh
softlaunch
Product details
- ISBN 9781492090960
- Dimensions: 178 x 233mm
- Publication Date: 28 Feb 2022
- Publisher: O'Reilly Media
- Publication City/Country: US
- Product Form: Paperback
- Language: English
The cloud is becoming the de facto home for companies ranging from enterprises to startups. Moving to the cloud means moving your applications from monolith to microservices. But once you do, running and maintaining these services brings its own level of complexity. The answer? Modularity, deployability, observability, and self-healing capacity through cloud native development.
With this practical book, Nishant Singh and Michael Kehoe show you how to build a true cloud native infrastructure using Microsoft Azure or another cloud computing solution by following guidelines from the Cloud Native Computing Foundation (CNCF). DevOps and site reliability engineers will learn how adapting applications to cloud native early in the design phase helps you fully utilize the elasticity and distributed nature of the cloud.
This book helps you explore:
Why go cloud native?
How to use infrastructure as code
What it takes to containerize an application
Why and how Kubernetes is the "grand orchestrator"
How to create a Kubernetes cluster on Azure
How observability complements monitoring
How to use service discovery and a service mesh to find new territories
How networking and policy management serve as gatekeepers
How distributed databases and storage work
Nishant Singh is a Site Reliability Engineer at LinkedIn, where he works toward improving the reliability of the site with a focus on reducing MTTD & MTTR of incidents. Prior to joining LinkedIn, he worked at companies like PayTM and Gemalto as a DevOps Engineer, spending his time building custom solutions for clients and managing, maintaining services over public cloud.
Michael is a Senior Staff Site Reliability Engineer at LinkedIn. While previously working on Incident Response, Disaster Recovery, Visibility Engineering & Reliability Principles, he is now leading an effort to migrate to the cloud. He is currently a lead for LinkedIn's migration to Microsoft Azure. Michael specializes in maintaining large system infrastructure as demonstrated by his work at LinkedIn (applications, automation & infrastructure) and at The University of Queensland (networks). He has also spent time building small satellites at NASA and writing thermal environments software at Rio Tinto.
Cloud Native Infrastructure with Azure
€65.99
