Amazon (AWS) EC2 Monitoring Tips and Tricks


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Many customers ask us for best practices on how to monitor EC2 servers on AWS. We are constantly coming up with new techniques that we ourselves use in our own hosted Amazon EC2 environment and things we learn in working with Amazon customers.

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Amazon (AWS) EC2 Monitoring Tips and Tricks

  1. 1. Amazon (AWS) EC2 Monitoring Tips and Tricks CopperEgg
  2. 2. EC2 Instance Monitoring • Monitor critical OS, system, and process statistics in real-time • Performance monitoring data collected includes: – CPU utilization – Details of CPU Utilization (CPU steal and I/O wait) • Memory stats: cache, buffer, active • Network TX and RX across each NIC and in-aggregate • Disk volume consumption by volume • Disk I/O • Swap Activity • Processes • More 2
  3. 3. Installing on EC2 • Simple installation for CopperEgg on EC2 Instances • Log into your console, copy and paste the Linux command • Instantly see your Instance’s health and performance metrics • Cloud Automation Support: – Most of our Amazon EC2 Server Monitoring customers include our install command as part of their AMI. In this manner, CopperEgg is already monitoring instances as soon as they are activated. Many also utilize our Chef recipe available at 3
  4. 4. Effective EC2 Instance Tagging • Tagging EC2 Instances so you can effectively alert on certain conditions is a cloud monitoring best practice • Example: Tag your Instances East and West, so you can effectively alert for different zones or different groups of servers • Consider tagging Instances by availability zone, region, or AMI type • Tags are effective ways to filter your views, restrict read-only accounts or direct alert notifications 4
  5. 5. EC2 Instance Process Monitoring • 3 ways CopperEgg can help you with EC2 Instance Process Monitoring: 1. Easily identify a process that has consumed too much memory or CPU. If a system is running high on CPU or memory, you can detect which processes may need to be stopped or restarted. 2. Discover if an issue arises by 2 or more processes or jobs running simultaneously. This might cause a high load on the system and may extend the run time of the combined jobs as opposed to them running at various times. Example: running an AV scan while trying to do a backup. 3. Gain visibility into multiple CPUs to determine if a process or job may not be written to take advantage of multiple CPUs. If this was not visible, a job may take longer to execute than anticipated. With CopperEgg you can verify that a job is only using one CPU as opposed to multiple. 5
  6. 6. AWS EC2 Sizing Tool • The CopperEgg AWS Sizing Tool tracks the usage of your current systems (whether enterprise or cloud-based) and recommends optimal AWS EC2 instance sizes. For EC2 Sizing help visit our AWS Sizing Tool: 6
  7. 7. Who is CopperEgg? • Check out CopperEgg performance monitoring for your apps, websites, and servers at • More AWS Resources: – 7
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