Monitoring is a critical aspect of managing your Amazon Elastic Container Service (ECS) deployments effectively. With ECS, AWS offers robust monitoring capabilities that allow you to gain insights into the performance and health of your containerized applications. In this blog post, we will delve into the world of ECS monitoring, exploring its various capabilities, providing code examples for implementation, discussing real-world use cases, highlighting the pros and cons, and sharing best practices to help you optimize the monitoring of your ECS clusters.
Continue reading “Exploring AWS ECS Monitoring Capabilities”Category: Monitoring
Elastic Beanstalk Best Practices
AWS Elastic Beanstalk simplifies the deployment and management of applications, providing a platform for developers to focus on building great software. To make the most of Elastic Beanstalk, it’s important to follow best practices that ensure scalability, reliability, security, and cost optimization. In this post, we will delve into the best practices for using Elastic Beanstalk and explore various strategies to optimize your application deployment.
Continue reading “Elastic Beanstalk Best Practices”S3 Access Logs
S3 access logs are log files generated by Amazon S3 (Simple Storage Service) that capture detailed information about access and requests made to S3 buckets. These logs provide valuable insights into who accessed the buckets, what operations were performed, and when they occurred. S3 access logs can be enabled for individual buckets and are stored in another S3 bucket designated to store the logs.
Introduction to AWS Monitoring
AWS monitoring services are essential for maintaining the performance, availability, security, and cost-effectiveness of your AWS infrastructure. They provide real-time insights, automate monitoring and alerting, assist in troubleshooting, and enable proactive management of your resources, leading to optimized operations and improved customer experiences.
ELK Stack Architecture 1
In this post we are going to look at an ELK stack architecture for a small scale implementation. Keep in mind that this architecture is suitable for a small sized on-prem installation and the index capacity is determined by the hardware and disk space availability.
ELK Stack – Monitor elastic nodes using cerebro
One of the most often asked question about the ELK stack is how can i monitor the elastic nodes itself. Monitoring the nodes here includes all indexes, all the data nodes, index size, total index size, etc. One tool that i use for my implementations is Cerebro.
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