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AWS

AWS CloudWatch

Master AWS CloudWatch for robust applications! Elevate your skills in monitoring & optimizing AWS ecosystems with our comprehensive course for cloud engineers, developers, and architects
Raghunandana Sanur
Staff Data Engineer & MLOps Engineer at Talabat
DevOps Pre-Requisite Course
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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!

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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.

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Introduction

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Introduction to Observability in AWS

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This course comes with hands-on cloud labs
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8
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Lessons
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55
Lessons
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Course Certificate
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03.25
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Hours of Labs
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Videos
Case Studies
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Demo
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Labs
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Cloud Labs
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Mock exams
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Slack channel support
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English
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