{"id":32693,"date":"2023-08-31T11:35:05","date_gmt":"2023-08-31T15:35:05","guid":{"rendered":"https:\/\/www.eginnovations.com\/blog\/?p=32693"},"modified":"2023-08-31T11:38:50","modified_gmt":"2023-08-31T15:38:50","slug":"shift-left-monitoring-a-pathway-to-optimized-cloud-applications","status":"publish","type":"post","link":"https:\/\/www.eginnovations.com\/blog\/shift-left-monitoring-a-pathway-to-optimized-cloud-applications\/","title":{"rendered":"Shift Left Monitoring: A Pathway to Optimized Cloud Applications"},"content":{"rendered":"
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I recently worked on a customer project to migrate an in-house application to the cloud, using a shift-left monitoring and testing strategy. The original application was developed with LAMP architecture and was being migrated to Spring Boot to modernize it and then run it on the cloud. I was fortunate to be part of the conversation during the day-0 talks. Not all IT managers do this. Many of the meeting rooms for day-0 discussions do not provide a seat for observability engineering, as if it is something that will be dealt with on day-2.<\/p>\n

We suggested the team onboard eG Enterprise from day-1. The outcome was impressive, the load testing<\/a> applications combined with the observability solution revealed all the application bottlenecks during the stress and load testing phases. The load testing tools measured the response time, while the observability tools identified the root cause. This enabled the client to identify and address any potential performance issues before production deployment.<\/p>\n

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<\/span>What is Shift-Left Monitoring?<\/span><\/h2>\n

Shift-left monitoring is a practice of integrating monitoring and testing early in the software development process. It helps identify issues, such as defects and performance problems, before deployment, improving software quality, reducing costs, and enhancing collaboration between development and operations teams.<\/p>\n<\/div>\n

<\/span>Shift-left Requires a Strategic Approach Towards Observability<\/span><\/h2>\n

There is a pressing need for improved monitoring especially when migrating applications to the cloud. The monitoring industry is like a library full of books of varying genres. Some specialize in databases, others in cloud computing, apps, Dev-ops, or unified solutions. What is the most effective strategy to adopt? Gartner’s Magic Quadrant report for Application Performance Monitoring and Observability,<\/a> covers how the best approach is to analyze multiple forms of telemetry data, such as traces, metrics, and logs, to identify and address any potential problems.<\/p>\n

Indeed, on this project we leveraged all of the three pillars of observability<\/a> \u2013 metrics, logs and traces. In brief:<\/p>\n