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Consumption, Utilization and Elasticity: Basics
Lets start with a basic scenario where there is a sudden peak in the demand for an application service as the amount of clients’ requests increase. This event leads to a direct and immediate impact of the loa placed on the web servers that host the service. In the traditional world, the number of servers is fixed, therefore an overload adversely affects the application performance and the service may slow down or even be terminated. The IT team would want to restore the environment functionality and bring the service up as soon as possible. The immediate impact of such an event on the business can be devastating. Starting with this simple understanding, we can move into the world of cloud computing use including resources consumption, while relating to the key differences between the traditional data center and today’s cloud technologies.
Compute Utilization Efficiency (High Load)
Newvem continuously monitors servers’ CPU load and notifies on high CPU loads. We consider an average CPU load of 80% and above as a high load. As high CPU load can lead to a major service availability risks, which results in service degradation. In order to protect the system one should consider changing the instance size or implementing a different scaling method. We suggest that you either:
- Scale up your computer instances – vertical scaling; move your workload to larger servers.
- Scale out your compute instances – horizontal scaling; use additional servers.
- Auto-scaling – AWS offers the ability to dynamically and automatically scale up or down according to conditions you define. With Auto Scaling, you can ensure that the number of Amazon EC2 instances you’re using increases seamlessly during demand spikes to maintain performance, and decreases automatically during demand lulls to minimize costs. Auto Scaling is enabled by Amazon CloudWatch and available at no additional charge beyond Amazon CloudWatch fees.
Compute Utilization Efficiency (CPU Load)
Newvem continually monitoring your servers CPU load and notifies you on high loads. High-load lead to a major down time risk, you might need to consider changing the instance type or implement a different scaling method. We consider an arbitrary of 80% CPU load and above as an high load and suggest that you scale up or scale out your compute instances (i.e. move your workload to larger servers or use additional servers).
Keywords: compute utilization efficiency, CPU Load, Newvem
Amazon AWS Storage Basics: Stop the Sprawl Before it Begins!
There is a common perception that cloud storage should not really worry you because it is very cheap and available at any time. But is that really true? I often hear AWS consumers say that AWS storage means S3 (Simple Storage Service) – this is true but it is not the whole truth. There are actually 4 different AWS cloud storage models. We’ll get back to those but first let’s focus on the importance of understanding your AWS S3 footprint.
The IaaS Management Market: Evolution, Vendors and More
A lot have already been said about the false cloud use where the IaaS platform utilized as an hosting extension of the IT organization’s data center and not taking advantage of the elasticity benefits to generate a cost effective and scalable IT operation. Using the public IaaS whether it is Amazon, Rackspace or any other vendor means using an highly dynamic environment which presents an increasing complexity hence loss of control. Checking the list below I can say that cloud (including all its layers IaaS, PaaS and SaaS) control basically contains the same aspects as the good old system management.
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