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By David Drai
If you’re a U.S. federal, state, or local government agency trying to deliver services to the public faster without sacrificing a single inch of security, GovCloud is the PaaS (Platform as a Service) solution. But what exactly is GovCloud, and how can it ensure you deliver services more efficiently and effectively? We’ll tell you all you need to know so you can decide if you’re ready to upgrade your tech stack with this tool.
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By Perry Tapiero
If you’re ready to leap to the government cloud, you’re likely looking back and forth between Amazon and Microsoft, wondering which is the best (and safest) bet. We’ve got you covered! Learn all you need to know from our cloud experts about which government cloud offering will work best for you – and it may come as a surprise, but there are other options outside of AWS and Azure… get into the details below!
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By Perry Tapiero
Every government – especially the U.S. government – needs secure cloud space. And there is no better way to get guaranteed security and compliance-ready services than through Microsoft Azure Government’s world-class cloud offerings. But what is Azure Government? How does it work? And, most importantly, will your organization qualify to reap the benefits?
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By Perry Tapiero
Undoubtedly, AI is our future—which means it’s past time to integrate machine learning models into your FinOps multi-cloud tech stack. AI turns simple tasks into something that can be executed at the click of a button. With well-trained models, FinOps, MSPs, and Enterprises can automate cost detection, forecasting, and anomaly identification, streamlining complex financial operations without increasing their workforce. The good news?
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By David Drai
Why are Azure cloud costs such a head scratcher? A big factor is not knowing the main driver that causes your monthly bills to fluctuate. We might know the culprit behind your cloud costs— it’s almost always data transfer costs or changes to Azure bandwidth pricing. We’ll give you the insider scoop so you can demystify your cloud budget and properly prepare yourself for your monthly Azure bill. Table of Contents Toggle.
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By David Drai
Autoscaling in cloud computing is the ability of a system to adjust its resources in response to changes in demand automatically. This guarantees that applications always have the resources they need to perform optimally, even during periods of high traffic. Autoscaling eliminates manual intervention, allowing your dev team time to focus on your product. All major cloud providers like AWS, Azure, and Google Cloud Platform offer robust autoscaling solutions with many features and capabilities.
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By Perry Tapiero
If your business has predictable compute workloads and wants to save on Azure spend, Azure Reserved Instances can make you the FinOps department’s new favorite person. But we’re getting ahead of ourselves. Before we tell you how you can start saving on your cloud spend, let’s define a few terms.
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By Perry Tapiero
Managed Service Providers (MSPs) are definitely in a competitive market. If you’re checking out Anodot, there’s a good chance you’re an MSP looking for a partner who can provide the right mix of tools and services to help you stand out to potential prospects. However, landing the client is only the start of the sales cycle. So, how can MSPs keep increasing profits while maintaining the quality that initially won them that business?
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By David Drai
Green Operations (GreenOps) is an approach to creating an eco-friendly cloud. The aim is to minimize energy waste, increase renewable resources, and decrease their carbon footprint on the planet. Several public cloud providers are aiming to become carbon-negative. By 2030, Google Cloud plans to operate on carbon-free energy around the clock. Microsoft Azure has committed to being carbon-negative by 2030, and AWS aims to run its operations on 100% renewable energy by 2025.
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By Perry Tapiero
Most enjoy the peace of mind cloud backups offer for all the damage the costs can do to their wallets. Microsoft Azure offers Azure Backup service to safely backup your data on Microsoft Azure cloud, allowing you to store Azure VMs and even on-premise machines and workloads. But Azure prices can be confusing, and Azure Backup is no different. To best understand how much you’re paying and why you’re paying that much, read on! Source: Azure.
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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.