Anodot

Redwood City, CA, USA
2014
  |  By Perry Tapiero
Our Cloud Cost platform just got some practical upgrades to help you manage cloud costs better and boost your operational efficiency. Curious about the new features? Let’s jump right in! Forecast in ChatGPT Interacting with cloud cost data just got easier and smarter. Ask any cost-related question using natural language, and let CostGPT do the rest. It instantly delivers insightful visualizations and forecasts of your cloud costs.
  |  By Perry Tapiero
As of 2023, 89% of companies are using a multi-cloud approach. The race to the cloud might feel truly like that – a race – but the finish line isn’t hybridization or even a full migration. Even after you’ve made it to the cloud, there’s still more work. Namely, determining cloud costs. Microservices, containers, Kubernetes made resource costs, associated costs and more are near-impossible to sort though.
  |  By Anodot
FinOps is a cultural practice that brings financial accountability to the world of cloud computing. It’s a strategic approach that aids organizations in understanding their cloud costs and making informed business decisions. FinOps is a new way of managing costs in an IT environment that is increasingly shifting towards the variable cost model of cloud services. It combines the best of the technical and financial worlds, resulting in an effective model for managing cloud costs.
  |  By Anodot
Navigating the complexities of cloud financial management requires more than just tracking costs – it demands a strategic approach to measure and optimize cloud spend. We have put together our top 7 KPIs, ranging from allocatable cloud spend and average hourly costs to sophisticated forecasting, to effectively gauge your FinOps solution success. Each KPI offers unique insights, helping businesses manage and maximize their cloud investments.
  |  By Anodot
Managing cloud migration, cybersecurity, and your IT stack – all of which somehow always needs to be updated – while juggling turning a profit is more than a full-time job. It’s downright impossible without the right team, the right expertise. That’s where managed service providers come in. Managed service providers (MSPs) are third-party companies who are the experts you need.
  |  By Anodot
CUDOS is one of the six specialized dashboards, in the AWS Cloud Intelligence Dashboards framework. The Cloud Intelligence Dashboards framework is focused on providing comprehensive usage and cost insights for AWS resources. It is a very crucial tool that provides deep insights that can be used to optimize AWS infrastructure.
  |  By Anodot
February 20, 2024 We’re excited to announce the latest enhancements to Anodot’s Cloud Cost platform, bringing cutting-edge improvements in anomaly detection and budgeting capabilities. Our commitment to innovation continues to shape the way businesses approach data analysis and financial planning.
  |  By David Drai
As Microsoft Azure continues its rapid growth, becoming an Azure reseller presents a major opportunity for managed service providers (MSPs) to expand their offerings and drive recurring revenue. This comprehensive guide will walk through everything MSPs need to know to successfully start reselling Azure services.
  |  By David Drai
As cloud adoption accelerates, managed service providers (MSPs) have a major opportunity to capitalize on this trend by reselling Amazon Web Services (AWS). Becoming an AWS reseller allows MSPs to expand their service offerings, achieve recurring revenue, and solidify their status as cloud experts. This comprehensive guide will walk through everything MSPs need to know to successfully start reselling AWS services.
  |  By Anodot
Our solution (Anodot) and Flexera are two possible options for FinOps in enterprise cloud environments. With over 85% of organizations projected to adopt a cloud-first approach by 2025, finding a partner who can navigate the ever-evolving world of FinOps for cloud success is crucial. So, which solution actually makes good on their promises? Let’s look at both providers and see whose features truly embrace a FinOps approach in the cloud.
  |  By Anodot
Watch this on-demand webinar to discover how to turn manual cost control into automated, data-driven insights for optimizing client experiences in the cloud. #cloudcost #aws #cloudoptimization #cloudmanagement #finops #anodot.
  |  By Anodot
  |  By Anodot
The Cloud is dynamic, and your costs can change any moment. The trick to cost control? It might just be catching anomalies. Learn more and get more insights from our 2023 State of Cloud report.
  |  By Anodot
Introducing CostGPT: Anodot’s New AI Tool gives instant insights into cloud cost structure. Get actionable cloud cost insights by simply asking a question!
  |  By Anodot
Anodot's FinOps specialist shares the top 5 strategies to optimize cloud costs and reduce waste.
  |  By Anodot
Effective management of cloud costs is critical for digital-first organizations, especially during times of market volatility. But, it can be very challenging to effectively drive organizational alignment around FinOps. Join CyberArk and Anodot as we explore tactics for delivering successful ongoing FinOps in your organization.
  |  By Anodot
Take a quick tour of the Calculated Metrics page, where you can view both composite metrics and output metrics created from alerts.
  |  By Anodot
In this webinar, led by Ira Cohen and Jeff Haines, you will hear how you can foresee the evolution of your cloud spend by harnessing the power of AI.
  |  By Anodot
In this webinar, led by Nir Shtein from Komodor and Jeff Haines from Anodot, you will learn how to empower your team to own reliability and FinOps for Kubernetes.
  |  By Anodot
Anodot's cloud cost management solution enables you to visualize costs in a single screen — across AWS, Azure, GCP and Kubernetes. Anodot leverages proprietary ML-based algorithms to offer root-cause analysis and recommended remediation. With continuous monitoring and deep visibility, you gain the power to align FinOps, DevOps, and Finance teams and cut your cloud bill.
  |  By Anodot
This introduction to next-generation analytics includes a step-by-step comparison between legacy BI and Autonomous Analytics, from data integration to anomaly detection and forecasting.
  |  By Anodot
Learn now anomaly detection can remedy urgent problems faster and capture opportunities sooner.
  |  By Anodot
Learn how different industries are using Machine Learning Powered Analytics.
  |  By Anodot
Learn how leading adtechs like Rubicon Project, Uprise, and NetSeer are leveraging the power of machine learning - discovering outliers in time series data and turning them into valuable business insights.
  |  By Anodot
Immediately address data quality problems and save weeks of dealing with inaccurately reported data.
  |  By Anodot
This white paper presents unique insights into the costs, benefits, and complexities associated with anomaly detection systems, including whether it makes more sense for your company to build or to buy, and which will give the best and fastest return on investment.
  |  By Anodot
An introduction to design principles of creating a machine learning based anomaly detection system.

Anodot applies AI to deliver autonomous analytics in real-time, across all data types, at enterprise scale. Unlike the manual limitations of traditional Business Intelligence, we provide analysts mastery over their business with a self-service AI platform that runs continuously to eliminate blind spots, alert incidents, and investigate root causes.

Autonomous Analytics uses machine learning to understand behavioral patterns within time series data, to identify anomalies and to continuously forecast future values. Our alerts operate in real time and offer you context - correlating each incident to similar anomalies, relevant factors and the potential root cause. Detect and diagnose high-impact problems faster than is humanly possible.

Why Autonomous Analytics?

  • Track Every Business Parameter: Anodot uses its patented technology to learn the normal behavior of all your business metrics and constantly monitor their every move. All without configuring a thing.
  • See The Anomalies That Matter: Not all anomalies are created equal. Anodot scores every business abnormality by degree of deviation so you can prioritize and act based on what’s most important to you.
  • Models Automatically Trained For Accuracy: Our solution uses deep learning to automatically optimize forecasts. It selects a model that’s uniquely suited to your metrics from a library of predictive analytics algorithms. Data feedback is used to train your model for the highest possible accuracy.
  • Continuous Forecasting For Operational Agility: Autonomous Forecast is always running. It works on data streams in real time to provide forecasts in the moment. With these capabilities, businesses can anticipate changing conditions and optimize their operations in advance, to improve customer satisfaction and seize opportunities.

The only alerts you need. Just when you need them.