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

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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
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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!

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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