Performance monitoring in Cloud computing
Classic computing capacity models clearly indicate that over-provisioning is essential to keep up with peak loads of traffic while the over-provisioned capacity is largely left under-utilized during non-peak periods. Such over-provisioning and under-utilization can be avoided by moving to an elastic cloud-computing capacity model where just-in-time provisioning and deprovisioning can be achieved by automatically scaling up and down on-demand.
Cloud auto-scaling decisions are often made based on infrastructure metrics such as CPU Utilization. However, in a cloud or virtualized environment, infrastructure metrics may not be reliable enough for making auto-scaling decisions. Auto-scaling decisions based on application metrics, such as request-queue depth or requests per minute, are much more useful since the application is intimately familiar with conditions such as:
- When the existing number of compute instances cannot handle the incoming arrival rate of traffic and must elastically scale up additional instances based on a high-watermark threshold on a given application metric
- When it’s time to scale back down based on a low-watermark threshold on the same application metric.
- For a given arrival rate λ, we need to maximize the service rate μ with an optimum value of n resources. Monitoring either the arrival rate λ itself for synchronous requests or q depth for asynchronous requests will help us tune the application system to see if we need additional service compute instances to meet the demands of the current arrival rate.
- Having visibility into this data allows us not only to find bottlenecks in the code but also possibly flaws in design and architecture. AppDynamics provides visibility into these application metrics.
Let’s take an example to illustrate how this actually works in AppDynamics. ACME Corporation has a multi-tier distributed online bookstore application running on AWS EC2:
The front-end E-Commerce tier is experiencing a very heavy volume of requests resulting in the tier going into a Warning (Yellow) state.
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I did some of that.by CalifornianNative
My ex-employer told me he will subcontract a job to me to install a composite material vacuum and temperature monitoring system. I designed and bid it, but he does not want the work. He told me I can have all the profit if I assume responsibility for providing satisfactory performance. The cost of my monthly California State Disability Insurance and liability insurance was more than he would make on the job. There is not enough profit in automation and instrumentation anymore.
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I'm looking for a new job. So far, this resume has gotten me nowhere. Any obvious problems? Too much crap? I'm looking for a mech engineering job, btw. Thanks
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