Webscale’s patented predictive auto-scaling leverages big data and predictive analytics to forecast changes in user demand (site traffic) and proactively scale out / scale in application infrastructure, in real-time.
A typical web application, hosted in the cloud, consists of an application tier, containing a few application servers, and a data tier, containing one or more databases. The application tier typically consists of more than one application server for high availability. The Webscale control plane constantly monitors key health metrics from each of these application servers, such as CPU load, memory usage, and incoming traffic demand. This gives the control plane a real time snapshot of the load on the application and a predictive signal as to when to increase the capacity by scaling out the infrastructure.
When the load on application servers passes critical levels, application performance and page load speeds suffer. One of Webscale’s key differentiators, when compared to other auto-scaling solutions in the market, is its ability to proactively identify the need to scale out and do so before the load hits critical levels. This not only ensures 100% uptime but also high performance of the application during a surge event of visitors. This ultimately translates into a great user experience, regardless of load or traffic surges.
Elastic Data Plane
The key to ensuring longevity of the application is to first ensure the Webscale data plane itself never gets overloaded. When there are traffic surges to the application, the Webscale data plane, that fronts all traffic, expands its own capacity by automatically scaling out its infrastructure to add the additional capacity to absorb the surge in visitor traffic. This guarantees that the Webscale data plane is not a point of failure causing downtime. The functionality of the data plane and control plane, together, is synonymous with traditional appliances called Application Delivery Controllers (ADCs).
A typical e-commerce cloud application consists of an application tier, containing a few application servers, and a data tier, containing one or more databases. To enhance availability of the application, Webscale, in its role as a reverse proxy to the application, distributes the load evenly across the application servers, ensuring no one server is overloaded at any point. This load balancing maximizes efficiency of the application, reduces future infrastructure spend and more importantly, ensures high uptime and performance. Webscale load balancing has customizable policies, with the goal always being to offload the application from a surge in traffic and scaling out the load balancing layer to millions of sessions without downtime. This functionality is synonymous with traditional load balancers available as software on cloud marketplaces and from appliance vendors.
Often, the problem does not lie with increased visitors to your site but with a faulty application server, leaking memory or with alarmingly high CPU usage. The Webscale control plane can detect such anomalies and automatically reset faulty applications, data plane or load balancing servers by draining the faulty ones, re-imaging them or bringing up entirely new instances of these servers.
Errors are inevitable in an application development lifecycle. Webscale’s Cloud Backup technology makes a copy of a customer’s entire backend— both the application and data tiers — on a periodic basis. This makes it easier to overcome downtime caused by code errors, by instantly rolling back to a pristine application backup.Infrastructure outages, while infrequent, can cause significant downtime when they occur. For mission critical applications, Webscale’s Cloud Mirror allows customers to architect a highly available application across regions of a cloud provider (or even multiple cloud providers), and keep a near real-time replica of their systems in an alternate cloud provider location. This enables applications to be up and running in minutes, in an alternate location during widespread outages of the cloud provider.
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