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By Perry Tapiero
Amazon has heard FinOps practitioners’ cries asking for new AI tools, and the answer is Titan and AWS Bedrock. These new tools provide the same generative AI abilities of generating images like expected from DALL-E, operating like a Large Language Model (LLM) like ChatGPT, and even transcribing audio to text. But how do these new tools compare to pre-existing ones like Azure’s OpenAI? Most importantly, which of these tools is the best financial investment for your organization?
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By Perry Tapiero
The future is AI. That’s a fact, and all the major cloud corporations are taking notice and investing in generative AI offerings to serve their customers better. Microsoft Azure has invested in OpenAI‘s ChatGPT, Google has Vertex AI, and Amazon has created Bedrock. But what exactly is AWS Bedrock? And, most importantly, how much will it cost? Will this generative AI be an easy investment, or will you have to break the budget to squeeze it in?
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By Perry Tapiero
Imagine standing on stage at AWS re:Invent, surrounded by the industry’s best, as Anodot is named the 2024 Rising Star Technology Partner. It’s a proud moment for our team and a testament to the innovation driving our platform.
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By Perry Tapiero
Azure IoT Hub enables you to monitor on-prem devices down to the smallest temperature change and react accordingly from cloud device commands. But how does it work? What other features does Azure IoT have? And, most importantly, how much does it cost? Learn all you need to know about Azure IoT Hub from our expert guide.
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By Gil Gross
So you’re an MSP supporting tens, hundreds or maybe even thousands of clients. Then there’s a good chance that you’re offering services for more than one cloud vendor. You may even have clients who are Multi-Cloud (using more than one cloud vendor).
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By Perry Tapiero
Here’s how Anodot became a leader in the Visionary category with its game-changing vision in FinOps and cloud-saving insights. It wasn’t just recognition from the leading authority in the technology industry but the culmination of a journey fueled by our incredible team’s dedication to providing our customers with FinOps-centric innovation and AI proprietary data. This wasn’t just any victory but an acclaimed win forged by industry-led expert leaders at our company.
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By Perry Tapiero
We’ve all been hearing about Amazon Bedrock – and the exclusive few who could access the full scope of AWS’ new product. But what exactly is AWS Bedrock? What can it help you accomplish? And, most importantly, when can you get full access to it? Learn all you need to know about AWS’ new tool from our cloud experts.
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By Perry Tapiero
Microsoft offers several cost-saving opportunities with Azure pricing. Azure Reserved Instances, Azure Savings Plan, Azure Hybrid Benefit… all can help you save a pretty penny if you know what you’re doing. If you’re looking to cut costs with your Azure VMs, Spot VMs can be the way to go – but the risks can be just as high as the rewards. How do you help your FinOps organization save big – and improve your chances of avoiding a complete resource shutdown?
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By Perry Tapiero
Tired of managing your Kubernetes clusters all on your own? Don’t have the time to figure out how to deploy, run, and optimize usage? Azure has just the thing for you: Azure Kubernetes Services. This article will cover everything you need to know about Azure Kubernetes Services, how it works, what the Azure pricing will be, whether you should use it, and, if so, how to save on your cloud cost.
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By Anodot
The cloud financial landscape is expanding with more vendors for companies to choose from to maintain healthy cloud costs. As the market grows, it’s important to partner with a third-party cloud financial management tool built on FinOps innovation and consistently adapt to meet future customer needs. A credible source recommending the right cloud cost tool can help you make an informed choice that positively impacts your cloud cost optimization.
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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.