For data center & cloud service providers - AIMS uses machine learning to automate monitoring and insight across cloud and on-premise data centers. Unlike other monitoring tools, machine learning is the core - allowing automated, self-learning anomaly-based insight across thousands of systems - to understand what's going on and make smart decisions.Contact us
Organizations are adopting new technologies rapidly, both on-prem, hybrid, and public cloud. Customers expect service providers to keep up with the rapid pace of IT transformation which exposes the weaknesses in traditional monitoring tools - that fail to efficiently provide the necessary control and insight across all IT silos.
As a consequence, service providers need tools that adapt seamlessly with technology changes, regardless of the data center - on-prem or cloud - or a combination. AIMS addresses the challenges and provides a solution for today and future needs.
Partnering with AIMS will enable you to win new customers & increase revenue. White label AIMS as part of your managed service offering and charges a premium. Customers in today's market will pay a premium fee to enable artificial intelligence, proactive monitoring, and flexible reporting services on top of critical business applications and infrastructure.
Pay as you grow - provides a simple and cost-effective way of onboarding your customers onto the AIMS platform. Start by monitoring 1 service or 100, the flexibility is yours. Increased usage of AIMS = lower cost per resource monitored. Service providers using the 'Pay-As-You-Grow' licensing model receive up to a 30% discount.
'The site license' requires a larger upfront commitment and in return service providers receive up to 40% discount and lower fees on future added resources. A site license will also enable access to direct AIMS co-marketing, development pipeline, and more.
As a service provider, we know you are constantly looking for ways to streamline operations and utilize the latest technology to better serve your customers and increase revenue and bottom line.
According to Gartner, 30% of service providers working hours are spent on troubleshooting customer incidents and challenges. On top of that, monitoring solutions today require manual configuration defining alerts triggered by certain values and thresholds. These thresholds are likely based on little or no significant analytical or scientific baseline.
At AIMS monitoring goes beyond 'the know' and takes into consideration all the blind spots you and your customer never knew existed. AIMS monitors thousands of performance metrics at any given time and provides unique patterns and anomalies allowing your team to pinpoint the blind spots quicker and with more accuracy.
Traditional monitoring tools require extensive implementation projects, hundreds and even thousands of hour setup, in addition to maintenance and updates. All of the above represents a significant portion of any service provider's budget.
AIMS automatically learns the behavior of your customer's infrastructure and applications. The key is the AI engine that automates a majority of the tasks that are required - with traditional tools - to install, monitor, and upkeep modern applications and their ecosystems. After two weeks of learning, AIMS has created a first high-resolution baseline consisting of patterns and performance analysis. The baseline with its data, performance metrics and thresholds will automatically adapt and change according to your customer's infrastructure and applications behavior.
The AIMS AI engine will enable better service offerings to your customers, lower impact on your spend/budgets, and increased revenue opportunities. But most importantly, a truly accurate and comprehensive real-time representation of the overall health of your customers' environments and services.
As a service provider, your challenge is to control and monitor large volumes of different customer environments. Firefighting is the norm and traditional tools are reactive and only show you status on/off and spam your operations with alerts of no use or significance. Customers expect stability and performance on all critical applications and infrastructure. Not reaching customers' SLA targets will have an impact on revenue and customer loyalty.
AIMS anomalies deliver proactive monitoring. AIMS' self-learning capability is a unique feature changing the way in which you run your operations. A core AIMS capability is anomalies, meaning alerting on changed behavior. When AIMS detects an anomaly, AIMS will search for correlation with other affected systems and calculate the degree of severity. Based on the calculation and preference, AIMS only alerts when a high or critical anomaly is detected.
In short, service providers using AIMS experience a significant reduction in false alarms and noise. Customers expect monitoring services to mature from a reactive "service is down" level to proactive services.
As a service provider, we know you have an abundance of solutions meant to maintain control and insight. Each tool requires a domain expert and quickly you are faced with a variety of tech silos, little or no control across environments, and internal "political views" affecting overall strategy and decisions.
In short, as a service provider, you control, own, and maintain valuable customer data, performance data, and patterns (big data), but have no way to analyze or act upon those data in a coherent way.
AIMS loves data. Provide AIMS with access to your data, either via agents or custom API/SDK, and AIMS will enable you to understand and make use of the data. All of the collected data is presented in one view, resulting in fewer dependencies on individual resources or tools. AIMS helps you gather, analyze and provide insight, across on-premise, hybrid, and public cloud, allowing more flexibility towards customer requests.