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Workload Monitoring

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May 14, 2024 2 minute read
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Workload Monitoring refers to the process of tracking and managing the performance of workloads, ensuring they perform optimally and efficiently. This involves observability into resource consumption, such as CPU and memory utilization, as well as metrics related to application behavior, including response times and error rates.

Who should learn Workload Monitoring?

Workload Monitoring is beneficial for individuals interested in developing their understanding of system administration, performance optimization, and cloud computing. It can be particularly valuable for those working with cloud-native applications, managed Kubernetes environments, and distributed systems.

Why should you learn Workload Monitoring?

Learning Workload Monitoring offers several advantages:

Path to Workload Monitoring

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We've curated two courses to help you on your path to Workload Monitoring. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Workload Monitoring.
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Secure Edge Computing
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Provides a comprehensive overview of workload monitoring and management in cloud computing environments. It covers topics such as workload characterization, performance modeling, resource provisioning, and workload scheduling.
Secure Edge Computing: Applications, Techniques and...
Paperback
$$$
Secure Edge Computing: Applications, Techniques and...
Kindle Edition
$$$
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Resource Management in Distributed Systems
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Provides a comprehensive survey of workload management in cloud computing. It covers topics such as workload characterization, resource provisioning, and workload scheduling.
Resource Management in Distributed Systems (Studies...
Kindle Edition
$$$$
Distributed Systems
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Provides a comprehensive overview of workload management in distributed systems. It covers topics such as load balancing, resource allocation, and scheduling.
Distributed Systems
Paperback
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Distributed Systems
Kindle Edition
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The Practice of System and Network Administration
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A DevOps-oriented guide to monitoring, emphasizing collaboration between development and operations teams. Covers modern monitoring tools and techniques.
The Practice of System and Network Administration
Paperback
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The Practice of System and Network Administration
Kindle Edition
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Relevant careers
Cloud Engineer
Performance Engineer
System Administrator
DevOps Engineer
Site Reliability Engineer
Operations Engineer
Data Engineer
Software Engineer
IT Manager
IT Architect
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