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AWS CloudWatch
What you’ll learn
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Description
Explore the depths of AWS CloudWatch in this comprehensive course designed to elevate your understanding of observability and monitoring within the AWS ecosystem. From foundational concepts to advanced techniques, immerse yourself in a journey through CloudWatch's powerful suite of tools.
• Introduction to Observability in AWS
- Understanding the significance of monitoring and tracing
- Exploring the basics of logging within cloud environments
• Anatomy of Alarms
- Setting up, configuring, and managing proactive alerts
- Responding to system deviations and anomalies effectively
• CloudWatch Dashboards
- Crafting intuitive and informative visualizations
- Efficiently comprehending complex data sets for actionable insights
• CloudWatch Logs
- Aggregating, analyzing, and extracting valuable insights
- Troubleshooting and optimizing system performance
• CloudWatch Events, EventBridge, and Event Buses
- Facilitating seamless event-driven architectures
- Streamlining communication between AWS services
• CloudWatch Insights, X-Ray, and Service Map
- Gaining unparalleled visibility into application performance
- Understanding dependencies and behavior for optimization
• Advanced Observability with CloudWatch
- Exploring sophisticated methodologies and best practices
- Leveraging cutting-edge techniques for maximum value extraction
Who Should Attend:
- Aspiring cloud engineers
- Seasoned developers
- Systems architects seeking advanced AWS proficiency
Unlock the power of AWS CloudWatch, build resilient applications, and master observability within AWS!
What our students say
About the instructor
Raghunandana Krishnamurthy is a seasoned Staff Data Engineer and MLOps expert, skilled in navigating both GCP and AWS cloud platforms to accelerate model development and deployment. His experience spans modernizing legacy data systems, architecting hybrid infrastructures, and ensuring data quality for diverse applications. He used to hold Associate AWS Solution Architect certification, Cloudera Hadoop Admin certification, Airflow certification, and Databricks Lakehouse certification
A technical leader and passionate trainer, Raghunandana excels at building and maintaining big data platforms, championing DevOps best practices, and fostering team alignment. With hands-on expertise in tools like SageMaker, VertexAI, Prometheus, Grafana, and extensive DevOps tools focusing on Data Engineering and MLOps.
Introduction
Introduction to Observability in AWS
Anatomy of Alarms
Cloudwatch Dashboards
CloudWatch Logs
CloudWatch Events, EventBridge, Event Buses
Cloudwatch Insights , X-Ray and Service Map
Advanced Observability with cloudwatch
Frequently Asked Questions
Who are KodeKloud courses for?
KodeKloud courses are designed for learners at different skill levels, from beginners to experienced IT professionals looking to develop or strengthen their technical skills.
Do KodeKloud courses include hands-on practice?
Yes. Many KodeKloud courses include hands-on labs and practical exercises that let you apply what you learn in real-world environments.
Do I need any prior experience to take a KodeKloud course?
Prerequisites vary by course. Each course page provides information about the recommended knowledge or experience you may need before starting.
Can I learn at my own pace?
Yes. KodeKloud courses are designed for self paced learning, so you can learn according to your schedule and revisit lessons and practice activities as needed.
Can I access KodeKloud courses on mobile devices?
Yes. KodeKloud can be accessed through supported web browsers and mobile devices, allowing you to learn from different devices.
Do KodeKloud courses provide certificates?
Certificate availability depends on the course and your KodeKloud plan. Check the individual course page or your account for the applicable certificate details.
How long does it take to complete a KodeKloud course?
Course completion time varies depending on the course length, your prior experience, and how much time you spend on hands-on practice.
Can I practice while taking the course?
Yes. Courses that include hands-on labs allow you to practice concepts as you progress through the lessons.
How do I start learning a KodeKloud course?
Choose a course that matches your learning goals, review its requirements and curriculum, and select the available subscription option to start learning.
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