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Job Description
Topic 1: Interactive Dashboard for Performance Monitoring
Description: This topic focuses on creating an interactive performance monitoring dashboard on AWS with an emphasis on selecting tools integrating systems and visualizing data effectively. The process begins by examining criteria for choosing monitoring tools such as usability integration options scalability and costeffectiveness. Participants will gain handson experience integrating these tools into a cohesive dashboard using APIs and SDKs developing custom dashboards that aggregate data from various sources and designing userfriendly interfaces that incorporate stakeholder feedback. Additionally the topic covers establishing performance metrics and configuring alerts with AWS CloudWatch to proactively monitor system health.
Key Attributes / Main Competencies: Key skills developed include evaluating and comparing monitoring tools like AWS CloudWatch Datadog and Grafana effectively integrating these tools and building impactful visualizations using AWS QuickSight. Cost management strategies and validation techniques are also emphasized to create solutions that are accurate budgetfriendly and usercentered.
Learning Outcomes: Participants will be able to integrate appropriate monitoring tools design efficient dashboards and manage costs to deliver a robust and reliable performance monitoring solution.
Topic 2: Enhancing Desktop Application Performance by Leveraging AWS Lambda for Task Offloading
Description:
This topic explores how to optimize the performance of a desktop application by offloading resourceintensive tasks to AWS Lambda functions. By identifying highlatency processes within the desktop application well outline methods for delegating these tasks to the cloud where they can be processed efficiently in a serverless environment. AWS Lambda allows for scalable ondemand execution of these jobs. The focus will include designing the workflow for task offloading setting up secure data transfer between the application and AWS and ensuring that Lambda functions are optimally configured to handle these jobs.
Key Attributes / Main Competencies:
Key skills developed include understanding AWS Lambdas serverless architecture creating and deploying Lambda functions integrating AWS services with desktop applications and implementing efficient data transfer methods. Additionally competencies in optimizing resource usage and managing costs with AWS will be covered.
Learning Outcomes:
Upon completion youll be able to offload heavy processes to AWS Lambda effectively reducing local processing time and boosting application performance.
Employment Type
Full Time
