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April Special Edition 2023

Improve profitability, simplify your internal processes, and make your managed cloud offering stand out with the most advanced cost management platform: Anodot

Improve profitability, simplify your internal processes, and make your managed cloud offering stand out with the most advanced cost management platform: Anodot

Anodot enables organizations to leverage the transformational power of AI to optimize their business. Anodot’s AI-driven, autonomous business monitoring solution identifies revenue-critical business incidents in real time. Anodot’s cloud cost management solution helps companies manage and optimize their cloud cost and resource utilization across AWS, GCP, Azure and Kubernetes. Anodot was founded in 2014 by a team with deep experience in AI and DevOps with the goal of taking a completely new approach to analytics and business monitoring. Monitoring autonomously and in real-time was a much needed solution for data driven companies that struggle to monitor metrics at scale.

In 2021, Anodot acquired Pileus, merging its ML-based technology with cutting-edge cloud cost management to offer a new kind of cloud cost management experience that helps companies quickly and easily identify and act on cloud cost savings opportunities.

Built for Autonomous Business Monitoring

Deep 360 monitoring™ technology leverages AI to both learn the behavior of every single metric in HD quality and map the network of correlations between the metrics in the data. Deep 360 then mines the stream of incoming data to rapidly identify and score anomalies. Backed by four patents, Deep 360 ensures fast and accurate monitoring of the organization’s most revenue-critical metrics. Deep 360 seamlessly aggregates inputs from storage, databases, analytics, monitoring, APIs and SDKs, CRM and data streams into one centralized analytics platform to analyze 100% of data streams and metrics, regardless of the business’s original data architecture and silos. Starting with your machine, application, and business data at its most granular level, Anodot’s unique technology engineers an HD view of your data aggregation layers and top line KPIs.

Deep 360 leverages advanced AI and ML to learn the unique behavior of every metric and its weekly, monthly and annual seasonality—in real time and at scale, using Anodot’s patented Vivaldi Method. Every metric that comes in goes through a classification phase, and is matched with the optimal model from a library of model types for different signal types. Modified Holt-Winters, ARIMA and other algorithms are used for the sequential adaptive learning that initializes a model of what is normal on the fly, and then computes the relation of each new data point going forward.

Correlation is crucial for understanding metrics in context. Anodot uses a patented combination of four derivatives of behavioral topology learning: abnormal correlation, naming correlation, graph correlation, and implicit analytics topology. Scale is achieved through algorithmic metric partitioning and grouping, which enables to maintain rapid run time at any scale, without increasing computational costs. At Anodot, false positive reduction is our main KPI. Every alert counts. Alerts are scored according to deviation, duration, frequency, and related conditions. Anodot’s patented anomaly scoring method runs probabilistic Bayesian models to evaluate the anomaly delta both relative to normal, and relative to each other. Statistical models—such as ratios between metrics and influencing metrics—group and correlate different metrics in order to analyze them according to the specific business context. Feedback from end users is collected for each alert instance to further improve the system’s ML brain.

AWS Cost Management

The Cloud Intelligence Dashboards are a collection of Amazon QuickSight dashboards that are based on the CUR reports. They offer powerful visuals, in-depth insights, and intuitive querying without having to build complex solutions or share your cost data with third-party companies. 

The cloud intelligence dashboards are built on native AWS services and take anywhere from 1-2 hrs to install and onboard per dashboard.

Dashboards come in three main forms:

  1. Cost and Usage Report Dashboards
  2. Compute Optimizer Dashboard
  3. Trusted Advisor Organizational Dashboard

AWS Budgets, AWS Budget Actions and AWS Cost Anomaly Detection

AWS Budgets — establish and enforce budgets for certain AWS services, and send messages or emails through the Simple Notification Service (SNS) when you reach or exceed your budget. Budgets allows you to specify an overall cost budget or relate the budget to certain data points, including data usage or the number of instances. The dashboard shows views similar to Cost Explorer, showing the use of services against budgets.

AWS Budget Actions — configure actions that will be applied automatically or via a workflow approval process once a budget target has been exceeded. There are three action types: Identity and Access Management (IAM) policies, Service Control policies (SCPs), or target running instances (EC2 or RDS). Actions can be configured for actual (after they’ve occurred) or for forecasted (before they occur) budgeted amounts.

AWS Cost Anomaly Detection — develop your own contextualized monitor and receive notifications of any anomalous spending, through a series of simple steps. When you have set up your alert and monitor preference, AWS can provide you with daily or weekly alerts via email or SMS. These include summary and individual alerts. You can monitor and carry out your own anomaly analysis using AWS Cost Explorer.

David Drai, CEO and Co-Founder

“Improve profitability with tailored recommendations for waste elimination and commitment utilization, custom charge types, billing rules and SP/RI re-allocation.”


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