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By Perry Tapiero
Cloud budgeting just got easier on the Anodot platform. Our budget monitoring tool has transformed to make tracking finances in the cloud seamless, customizable, and, above all, easy.
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By Elisha Ben-Zvi
The FinOps Open Cost and Usage Specification (FOCUS) 1.0 was officially launched on June 20, 2024, marking a revolutionary shift in Cloud Cost Management (CCM). Long awaited by MSPs and FinOps, this framework now aligns data sharing among vendors, FinOps tools, and users in a simple manner. It’s an exciting new era for shaking up business strategies in cloud cost analysis. But let’s take a step back and refocus on what FOCUS 1.0 is.
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By Perry Tapiero
If your company is a big Azure spender, you should use Azure Hybrid Benefit. If not, you’re leaving money on the table. But how much money? If eligible, your company can save up to 40% on Azure Virtual Machines, up to 55% on Azure SQL databases, and, if you combine that with Azure Reserved Instances, you can even save up to 80%. Source: Azure Azure Hybrid Benefit is the perfect way to cut costs while migrating to the cloud.
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By Perry Tapiero
Table of Contents Toggle If your business has predictable compute workloads and wants to save on Azure spend, Azure Savings Plan might be an appealing solution. So long as you fully understand this plan’s offering and consistently use the same amount of resources every year, you can save significant amounts. Read on to discover the pros and cons of Azure Savings Plan and if this offering is a good fit for your company.
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By Perry Tapiero
If you’re working in the cloud, you’re part of a rapidly growing industry. Global spending on public cloud services is set to double, reaching $482 billion in 2024, up from $243 billion in 2019, with a compound annual growth rate (CAGR) of 16.5% What’s the takeaway? With organizations increasingly depending on cloud services, managing costs effectively is a must. Otherwise, the expenses will pile up, and money will flow down.
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By Anodot
Trying to find the best virtual machine on the market that gives you the flexibility of easy scalability and the promise of a secure network – and doesn’t cost an arm and a leg (and maybe another arm)? Azure VM is likely the best solution for you… assuming you can project costs correctly. However, Azure doesn’t make it easy with its different offerings and pricing models.
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By Anodot
Azure Structured Query Language (SQL) has 18 different deployment options, service tiers, compute models, and two different pricing models: vCores and Database Transaction Units (DTU). Because of these complexities, it’s nearly impossible to project monthly budgets! This guide will explain the common Azure SQL pricing configurations and offer tips on optimizing your cloud budget.
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By Anodot
Microsoft Azure storage pricing can be confusing. With cloud storage-specific tiers, reservations, time lengths, and other cost considerations, starting monthly budget calculations can be more than intimidating—especially since you’ll also want to watch out for any extra provider-specific fees. We’ll break things down so you can easily calculate your Azure storage pricing.
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By Anodot
Calculating your Azure DevOps budget doesn’t need to make your palms clammy. Consider this your 2024 guide to figuring out all you need about Azure DevOps pricing so nothing sneaks up on your monthly budget. But let’s define some terms before we get into the nitty-gritty details.
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By Anodot
Azure Functions is a serverless computer Microsoft Azure service. Its goal is to enable developers to create scalable, cost-optimized, event-driven applications without the hassle of server management. However, like most Azure cloud-based offerings, the costs of Azure Functions can be muddied by the different pricing models and the factors that can increase (or decrease) your monthly bill. Our guide simplifies things so you can be confident your Azure spend is optimized down to the last dime.
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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.
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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.
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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!
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By Anodot
Anodot's FinOps specialist shares the top 5 strategies to optimize cloud costs and reduce waste.
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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.
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By Anodot
Take a quick tour of the Calculated Metrics page, where you can view both composite metrics and output metrics created from alerts.
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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.
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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.
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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.
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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.
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By Anodot
Learn now anomaly detection can remedy urgent problems faster and capture opportunities sooner.
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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.
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By Anodot
Immediately address data quality problems and save weeks of dealing with inaccurately reported data.
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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.
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By Anodot
An introduction to design principles of creating a machine learning based anomaly detection system.
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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.