Protected Harbor Auto Scaling keeps track of your applications and adjusts capacity as needed to ensure consistent, predictable performance at the lowest feasible cost. Using our Traffic Scaling, it’s simple to set up application scaling for many resources across different services in minutes. The service has a simple yet powerful user interface that allows you to create resource scaling strategies. Our Traffic Scaling makes scaling easy by providing recommendations that help you to optimize performance, costs, or a balance of the two.
Protected Harbor Traffic Scaling ensures that your application has the proper amount of computing at all times and predictive scaling provisions capacity proactively.
Traffic scaling takes advantage of cloud-hosted systems’ elasticity while reducing management costs. It eliminates the need for an operator to constantly monitor a system’s performance and make resource additions or removal choices.[/wgl_custom_text]
Predictive Scaling foresees future traffic, including spikes and allocates the correct number of instances ahead of time. The machine learning algorithms used by Predictive Scaling detect changes in both daily as well as weekly patterns and automatically updates projections. This eliminates the need for any manual Auto Scaling parameter adjustments when cyclicality varies over time, making Auto Scaling easier to set up. Auto Scaling with Predictive Scaling makes capacity provisioning faster, easier, and more precise, leading to lower costs and more responsive applications.[/wgl_custom_text]
Network Flow Records Inspected Daily
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Uptime
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Petabytes of Storage Managed
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Protected Harbor Traffic Scaling allows you to closely follow the demand curve for your applications, reducing the need for pre-provision capacity. Target tracking scaling policies, for example, can be used to choose a loaded statistic for your application, such as CPU use. Alternatively, you might use Application Load Balancer’s new “Request Count Per Target” measure, a Load Balancing option for the Elastic Load Balancing service. After that, our Auto Scaling will alter the number of traffic instances as needed to keep you on track.
Get started with Protected Harbor Traffic Scaling.
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Best Performance for Compute-Intensive Workloads
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Components for Traffic Scaling
The following elements are usually included in an autoscaling strategy:
- At the application, service, and infrastructure levels, instrumentation and monitoring solutions are used. These systems all capture response times, queue lengths, CPU use, and memory consumption.
- The algorithm that compares these metrics to either predetermined thresholds or timetables and decides whether or not to scale them.
- Components that allow the system to scale.
- The autoscaling technique is tested, monitored, and tuned to guarantee that it works as expected.
A custom traffic scaling solution can be handy on occasion. For example, you could monitor and export application metrics using diagnostics, application-based metrics, and custom code. Then, depending on these measurements, you might create custom rules and leverage Resource Manager REST APIs (Representational State Transfer Application Programming Interface) to initiate autoscaling.
On the other hand, a custom solution is challenging to implement and should only be considered if none of the other options can meet your needs. A custom solution is an expensive option and requires engineers to build out the solution. Depending on the complexity of the project, that can take months or even years.
Therefore, it’s important to select the right Traffic Scaling solution for your business.
Protected Benefits
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SCALABLE. DYNAMIC. PERFORMANCE.
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