If you are reading this article then I presume that you might have some exposure to AWS Applications and network load balancers and their metrics Yes, with just Application load balancer metrics you would be able to understand your application behaviour and know when something is going wrong. You can simply use the traffic statistics of your API gateway or Application Load Balancer Let's suppose you do not have any of these aforementioned items, and if you want to find out what the response time of your application or microservice These are undeniably great ways to monitor and understand your application.īut that's not all, there is one more crucial data we can use to understand the application which is network or traffic data. Custom metrics built by the Developers inside the App.Telemetry data produced by the Application itself ( StatsD, open telemetry).Application performance monitoring (APM). We mostly think of the following solutions When you think about benchmarking and monitoring application performance and throughput time. You would be using Application and network load balancers to expose your application to the outside world. Whether you have monolith infrastructure (or) microservices infrastructure like Kubernetes EKS. Adding the AWS ChatBot App to the Slack Channelĭetecting Application Slowness with Target Response time.Creating AWS Chatbot and integration SNS topic and Slack Channel.Creating CloudWatch Alarms - For ALB Response Time.Configure Cloudwatch to send Slack Alert through AWS Chatbot.How CloudWatch alarms are sent to Slack Channel.Monitoring the CloudWatch ALB Metric and Creating Slack Alerts.Detecting Application Slowness with Target Response time.
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