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Google Cloud Training
In this lab you will build a test appliction that sends metrics and trace data to Prometheus and Zipkin backends via OpenTelemetry collector and agent
Register for this course and see more details by visiting:
OpenCourser.com/course/ufkmri/opentelemetr
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Teaches core skills for building test applications in the cloud
Demonstrates how to use OpenTelemetry Collector and Agent
Taught by Google Cloud Training, recognized experts in cloud computing
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in OpenTelemetry with these
activities:
Review Python Basics
Show steps
Review fundamental Python concepts and syntax to strengthen your programming foundation before the course.
Browse courses on
Python Basics
Show steps
-
Identify and review core Python concepts
-
Practice writing simple Python programs in an IDE
Follow OpenTelemetry Tutorials
Show steps
Enhance your understanding of OpenTelemetry by following guided tutorials that cover its core concepts, instrumentation, and usage.
Browse courses on
OpenTelemetry
Show steps
-
Explore the official OpenTelemetry tutorials
-
Work through specific examples of setting up OpenTelemetry in different environments
-
Experiment with OpenTelemetry in your own projects
Show all two activities
Review Python Basics
Show steps
Review fundamental Python concepts and syntax to strengthen your programming foundation before the course.
Browse courses on
Python Basics
Show steps
Show steps
Show steps
- Identify and review core Python concepts
- Practice writing simple Python programs in an IDE
Follow OpenTelemetry Tutorials
Show steps
Enhance your understanding of OpenTelemetry by following guided tutorials that cover its core concepts, instrumentation, and usage.
Browse courses on
OpenTelemetry
Show steps
Show steps
Show steps
- Explore the official OpenTelemetry tutorials
- Work through specific examples of setting up OpenTelemetry in different environments
- Experiment with OpenTelemetry in your own projects
Show all two activities
Career center
Learners who complete OpenTelemetry will develop knowledge and skills
that may be useful to these careers:
Software Engineer
Software Engineer
Software Engineers specialize in building applications. This course will be especially useful for those developing systems that need monitoring. The skills learned in this course may lead to a Software Engineer getting promoted to a leadership or architectural role that has to design and integrate tools and platforms for monitoring and logging systems. Software Engineers with a foundation in monitoring tools and platforms are positioned well for career growth.
Data Scientist
Data Scientist
Data Scientists specialize in building models to identify trends. The skills learned in this course will be helpful for Data Scientists who want to build models that are scalable and performant. By understanding monitoring and logging systems, Data Scientists can build higher quality models that are able to withstand various loads and conditions.
Product Manager
Product Manager
Product Managers specialize in understanding customer needs. The skills learned in this course may be helpful for Product Managers who want to make decisions based on engineering data. Understanding logging and monitoring systems also helps Product Managers set expectations for engineering when building roadmaps.
DevOps Engineer
DevOps Engineer
DevOps Engineers specialize in building and deploying software. The skills learned in this course may be helpful for DevOps Engineers who want to improve the reliability and performance of their applications. By understanding monitoring and logging systems, DevOps Engineers can automate tasks and processes, which can lead to faster and more efficient deployments.
Systems Engineer
Systems Engineer
Systems Engineers specialize in maintaining and improving computer systems. The skills learned in this course may be helpful for Systems Engineers who want to improve the reliability and performance of their systems. By understanding monitoring and logging systems, Systems Engineers can identify and resolve issues quickly and efficiently.
Technical Support Engineer
Technical Support Engineer
Technical Support Engineers specialize in troubleshooting and solving technical problems. The skills learned in this course may be helpful for Technical Support Engineers who want to improve their ability to diagnose and resolve issues. By understanding monitoring and logging systems, Technical Support Engineers can quickly identify the root cause of an issue and provide a solution.
Performance Analyst
Performance Analyst
Performance Analysts specialize in evaluating and improving software performance. The skills learned in this course may be helpful for Performance Analysts who want to identify and resolve performance bottlenecks. By understanding monitoring and logging systems, Performance Analysts can quickly identify performance issues and recommend solutions.
Network Engineer
Network Engineer
Network Engineers specialize in designing and implementing computer networks. The skills learned in this course may be helpful for Network Engineers who want to improve the reliability and performance of their networks. By understanding monitoring and logging systems, Network Engineers can quickly identify and resolve network issues.
Security Engineer
Security Engineer
Security Engineers specialize in protecting computer systems from unauthorized access. The skills learned in this course may be helpful for Security Engineers who want to improve the security of their systems. By understanding monitoring and logging systems, Security Engineers can quickly identify and respond to security threats.
IT Manager
IT Manager
IT Managers specialize in managing and supporting computer systems. The skills learned in this course may be helpful for IT Managers who want to improve the efficiency and effectiveness of their IT departments. By understanding monitoring and logging systems, IT Managers can make better decisions about how to allocate resources and improve the performance of their systems.
Cloud Engineer
Cloud Engineer
Cloud Engineers specialize in designing and implementing cloud-based solutions. The skills learned in this course may be helpful for Cloud Engineers who want to improve the reliability and performance of their cloud-based applications. By understanding monitoring and logging systems, Cloud Engineers can quickly identify and resolve issues with their cloud-based applications.
Data Analyst
Data Analyst
Data Analysts specialize in collecting, analyzing, and interpreting data. The skills learned in this course may be helpful for Data Analysts who want to improve their ability to analyze data and identify trends. By understanding monitoring and logging systems, Data Analysts can quickly identify data that is relevant to their analysis and make more informed decisions.
Business Analyst
Business Analyst
Business Analysts specialize in analyzing business needs and recommending solutions. The skills learned in this course may be helpful for Business Analysts who want to improve their ability to identify and solve business problems. By understanding monitoring and logging systems, Business Analysts can quickly identify the root cause of business problems and recommend solutions that are based on data.
Project Manager
Project Manager
Project Managers specialize in planning and executing projects. The skills learned in this course may be helpful for Project Managers who want to improve their ability to manage projects and deliver successful outcomes. By understanding monitoring and logging systems, Project Managers can quickly identify and resolve project risks and issues.
Technical Writer
Technical Writer
Technical Writers specialize in writing documentation for software and hardware products. The skills learned in this course may be helpful for Technical Writers who want to improve their ability to write clear and concise documentation. By understanding monitoring and logging systems, Technical Writers can write documentation that is easier for users to understand and use.
For more career information including salaries, visit:
OpenCourser.com/course/ufkmri/opentelemetr
Reading list
We've selected 12 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
OpenTelemetry.
Provides a deep dive into distributed tracing, with a focus on the Jaeger tracing system. It covers concepts such as span, trace, and context propagation, and how to use Jaeger to troubleshoot and improve the performance of distributed applications.
Provides a comprehensive guide to Prometheus, the popular open-source monitoring and alerting system. It covers topics such as Prometheus architecture, metrics collection, and alert configuration.
Provides a comprehensive guide to site reliability engineering (SRE), a discipline that focuses on the operational reliability of large-scale software systems. It covers topics such as incident management, capacity planning, and performance monitoring.
Provides a comprehensive guide to Elasticsearch, the popular open-source search and analytics engine. It covers topics such as data indexing, search queries, and cluster management.
Save
Provides a comprehensive guide to designing and building data-intensive applications. It covers topics such as data modeling, data storage, and data processing.
Provides a collection of patterns for designing and implementing microservices. It covers topics such as service decomposition, communication, and data management.
Provides a comprehensive guide to big data analytics using Java. It covers topics such as data collection, data processing, and data visualization.
Provides a comprehensive guide to Hadoop, the popular open-source big data processing framework. It covers topics such as data storage, data processing, and cluster management.
Provides a comprehensive guide to Spark, the popular open-source big data processing engine. It covers topics such as data processing, machine learning, and stream processing.
Provides a practical guide to building microservices. It covers topics such as service design, deployment, and testing.
Provides a comprehensive guide to reinforcement learning, a type of machine learning that deals with learning how to take actions in an environment in order to maximize a reward.
Provides a comprehensive guide to natural language processing (NLP) using Python. It covers topics such as tokenization, stemming, and machine learning for NLP.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ufkmri/opentelemetr
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Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Good to know
Teaches core skills for building test applications in the cloud
Demonstrates how to use OpenTelemetry Collector and Agent
Taught by Google Cloud Training, recognized experts in cloud computing
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