In recent months, the remarkable progress of Generative AI (GenAI) has sparked a transformative shift across industries, effectively reshaping the landscape. Indeed, every infrastructure team is talking about modernizing their stack. Yotascale has eagerly seized this opportunity, adopting GenAI within our solution as a game-changer.
Introducing Yota AI Assist – Revolutionizing Cloud Optimization
With GenAI, Yotascale is revolutionizing cloud cost management by automating 95% of the labor-intensive process of data analysis and correlation. We present Yota AI Assist, a virtual cloud cost analyst, who not only understands your role (whether you’re a CTO, engineer, finance professional, or SRE) but also readily provides answers to a wide range of questions. This democratizes access to cloud cost data and empowers individuals at every level, from C-level executives to department heads, to seek answers directly without relying on their teams. We have been working tirelessly with customers to develop this state-of-the-art GenAI assistant.
According to Patryk Sroka at Clickup, “Nobody is doing this today. This [Yotta AI Assist] has reduced my time spent on cloud cost management from 10 hours a week to 20 minutes. Just amazing.”
Yotascale Innovation Pace Increasing in the Face of Rising Cloud Costs
It is pretty well known now that GenAI adoption is driving steep increases in cloud computing costs while also increasing the complexity of enterprise engineering platforms. IDC reported, shared cloud infrastructure costs increased 13.7% in Q2 of 2023 with a shift towards complex workloads and new AI initiatives. Digital business success now requires strategic management of both external cloud provider costs as well as internal consumption costs simultaneously. This has required Yotascale to increase its pace of innovation to keep up with customer needs. So we launched our Total Platform Cost Management solution a few months back which enables customers to connect the cost of any infrastructure provider including Snowflake, Datadog, Databricks, Splunk, Jira, and many more. With our long-time engineering focus, it was natural for Yotascale to take on Total Platform Cost Management that our customer could integrate management of public cloud infrastructure with platform engineering services.
Jeremy Haber, Cloud Ops Financial Manager at Flatiron Health shares, “We’ve been looking at so many tools to track these different costs, and we couldn’t find one until now. Yotascale is easy and fast to implement, and their team has been great to partner with. We’re all really excited about the partnership.”
Yota AI Assist the First-ever FinOps Copilot
Yota AI Assist is the first-ever copilot for FinOps. Yotascale is a FinOps Foundation certified solution and has supported the foundation since its introduction. Now as we launch Yota AI Assist, we are proud to present a virtual FinOps cost analyst that can support every executive and manager in managing their cloud costs with natural language querying. Yota AI Assist jumps in whenever you need any help proactively suggesting common questions, and even anticipating questions based on your prompts. With that let me introduce you to Yota AI Assist with a short Q&A interview.
Asim: Hello, Yota AI Assist can you introduce yourself?
Yota AI Assist: Hi Asim, I’m designed to provide support and assistance with Yotascale’s services. My primary function is to help users understand and manage their cloud costs effectively using Yotascale’s features. I can fetch cost data, provide optimization recommendations, search support documentation for relevant articles, and route complex queries to a Virtual Cost Analyst for deeper insights. I’m here to make your experience with Yotascale as smooth and efficient as possible.
Asim: I have a board meeting in 45 minutes and our CFO just pinged me about how much the SaaS infrastructure of some of our customers is costing us. There is one specific customer, AcmeTech, that he believes we are losing a lot of money on. Can you help?
Yota AI Assist: Asim, I am happy to help you with that! It seems like you are looking for the infrastructure cost for AcmeTech, as well as other customers that you may be losing money on because of high infrastructure costs. I will pull the data for the last 30 days and we can take a look.
The total infrastructure cost for our customers for the last 30 days is $5.2M. Across 107 customers, AcmeTech is allocated $1M (~20%) this month. Would you like me to break this cost down further by service or any other attribute?
Asim: That is a lot given their contract is $14.4M a year or $1.2M per month! What do you predict their cost for next year will be?
Yota AI Assist: The forecast for AcmeTech’s infrastructure cost over the next year is $13M (22% higher than last year). This forecast is based on the historical data from the past two years and the SARIMA time series model.
Asim: How can we reduce this cost to under $750K/month?
Yota AI Assist: There are $225K per month in optimization opportunities identified. 80% of the savings can be achieved by rightsizing compute and database instances.
While this doesn’t get you to under $750k in monthly cost, it certainly gets you closer to the desired number. You may also consider utilizing spot instances for workloads that are tolerant of interruptions. Spot instances allow you to take advantage of unused EC2 capacity at a steep discount compared to the on-demand price. Please let me know if you have any further questions on how to optimize your compute resources.
Asim: Thank you! This is tremendously helpful.
Asim: Thank you Yota AI Assist. In closing, what would you say to a Yotascale prospect?
Yota AI Assist: As an AI assistant, I’d like to highlight that Yotascale is a leading cloud cost management solution designed to provide you with granular visibility, predictive analysis, and actionable recommendations for optimizing your cloud costs.
Here are some key benefits of using Yotascale:
Granular Visibility: Yotascale provides detailed insights into your cloud costs, breaking them down by service, region, account, and other dimensions that are relevant to your business. This can help you understand exactly where your money is going and identify areas for cost optimization.
Predictive Analysis: Yotascale’s advanced machine learning algorithms can forecast your future cloud costs based on your past usage patterns. This can help you plan your budget more accurately and avoid unexpected cost overruns.
Actionable Recommendations: Yotascale provides specific, actionable recommendations for reducing your cloud costs. These recommendations are based on a thorough analysis of your usage patterns and can help you achieve significant cost savings.
Customizable Alerts: You can set up customizable alerts to notify you of any significant changes in your costs. This can help you stay on top of your cloud spending and take timely action to prevent cost overruns.
Ease of Use: Yotascale’s user-friendly interface and robust API make it easy to integrate with your existing systems and workflows. Plus, our AI assistant (that’s me!) is always here to help you navigate the platform and answer any questions you may have.
If you’re looking for a comprehensive, easy-to-use solution for managing and optimizing your cloud costs, Yotascale is definitely worth considering. I’d be happy to provide more information or arrange a demo if you’re interested.
Asim: Thank you Yota AI Assist for that informative demonstration and interview.
Yota AI Assist: You’re welcome, Asim! I’m glad I could assist you. If you have any more questions or need further information, feel free to ask. Enjoy your day!
Yotascale is Investing So Your Business Can Win
As I said earlier, we’ve increased the pace of innovation here at Yotascale to meet rapidly evolving customer needs. We’ve adopted a GenAI-first culture with a rapid experimentation approach that has led to a remarkable increase in our AI IQ. This progress reflects our unwavering commitment to leveraging this technology throughout our organization.
The biggest factor of our GenAI success has been our domain-specific experience built over many years of working with renowned companies like Clickup, Zoom, Hulu, and Okta among others. We’ve taken on the challenging task of contextualizing this knowledge with AI for cost management collaborating closely with customers to build Yota AI Assist and Total Platform Cost Management.
We’ve drawn on our extensive industry domain knowledge, and with our world-class engineering team have delivered a cutting-edge cloud spending analysis and optimization solution. Yotascale now integrates years of product and engineering insights into a scalable, secure, and future-proof solution placing us at a significant advantage, as we’ve overcome the challenges that many companies are yet to face in this evolving landscape. This new generation of Yotascale is an inspiring step forward for our team, and the industry at large.
If you’re interested in learning more about how Yotascale’s GenAI-driven solutions can benefit your organization, feel free to reach out to our team for a discussion or to schedule a demonstration. We’d be happy to provide further information and insights on how our tools can help you manage your cloud costs effectively.