Customers and users demand high Quality of Experience (QoE) of modern operators - Data Centers, internet service providers (ISPs), content delivery networks (CDNs), mobile operators and Telcos. And they have strict Service Level Agreements (SLAs) to ensure they deliver on them.
To deliver on these QoE expectations and SLAs, most companies over provision their network to ensure they meet those requirements. But that locks up a significant amount of capital that could be used for better purposes.
Maxwell’s machine learning, closed-loop platform enables successful companies like yours to provision where and when needed to lower their overall infrastructure Total Cost of Ownership (TCO) while at the same time delight their customers and users.
Network attacks, site outages, network link cuts, and other such disasters happen whether we like it or not. But network applications and network traffic need to continue to route traffic to customers and users even when the infrastructure is hampered by misfortune.
Maxwell performs continuous simulations of potential failures and identifies risks to your network performance and potential impacts to Quality of Experience.
Maxwell’s Application Resilience Meter enables your operations teams and business leaders to measure risk and your opportunity costs to determine the most cost effective ways to increase your network resilience.
How do you ensure that infrastructure will be always available?
What is the cost of adding another level of availability?
Maxwell can help
From routers, to network links, to CDN servers, Maxwell learns behavioral patterns of important metrics such as round trip latency, re-buffering, throughput, and 500 and 408 error counts, all based on historical data gathered from your existing monitoring services (e.g.Nagios). These are correlated and used to create insightful forecasts to help you deliver on committed SLAs, plan for site or equipment outages, simulate adding new customer demand or identify unused network infrastructure.
With the predictive power of machine learning coupled with the wealth of data you have at your disposal, your operational teams can draw valuable insights and meet your company’s KPIs.
Our applications generate precise forecasts generated from data collection pipelines that tap into your monitoring systems or directly into your routers, switches, network elements anywhere in the world.
With these forecasts, Maxwell empowers companies like yours to reliably and efficiently deliver network applications reliably and cost effectively to users in corporate, industrial, personal networks and to the far reaches of the Edge.
Predictive Routing Case Study
Very simply, Maxwell forecasts where congestion will be and updates routing information to route traffic away from those links and avoid congestion.
Maxwell plugs into existing monitoring systems to learn network behavior and forecast growth and more importantly where congestion will occur. Maxwell plugs into existing network infrastructure to make changes in routing tables to migrate traffic.
Capacity Planning & Prescriptive Operations
Maxwell’s deep learning platform is leveraged to learn past behavior of network traffic across all 150 locations and apply that learning to:
