Fraud prevention has improved and security strengthens while monitoring and CI workflows still need work
What is our primary use case?
In my field, which is a FinTech company, Anyscale Platform is mainly used for security purposes, protecting data and everything by applying all the basic features from the platform.
For us, we are mainly using Anyscale Platform with VS Code development for providing services for production deployment from my end, as per my role.
We mainly do coding with Anyscale Platform, but if you dig deeper, as I mentioned, we are a FinTech company, so we work daily to prevent fraud. The entire integration with the platform helps us address this, along with faster service provision and risk assessment using Anyscale services.
What is most valuable?
Anyscale Platform provides top features including AI and ML workflows which are reliable and scalable, along with management capabilities. The integration with services like AWS and GCP is beneficial, and we also have a built-in monitor.
The monitoring feature of Anyscale Platform, particularly the metrics dashboard, stands out because it shows GPU memory usage and visualizations that simplify our experience with the entire dashboard along with a well-prepared debugging and logging system.
Since adopting Anyscale Platform, we have observed a drastic improvement in overall security, and it is cost-efficient. The performance and productivity boost have led to a reduction in the number of people needed for operations, and scalability has also improved significantly.
What needs improvement?
Anyscale Platform sometimes lags and there is no response, which happens rarely but is noted. Additionally, a built-in CI/CD integration could be a useful addition.
That was just a suggestion from my end regarding CI/CD integration since we have been using it differently, but I cannot add more than that.
The overall performance and boost from Anyscale Platform is amazing, but I still see some improvement points, which is why I chose that score.
For how long have I used the solution?
I have been using Anyscale Platform for more than over a year.
What do I think about the stability of the solution?
Anyscale Platform is stable.
What do I think about the scalability of the solution?
The scalability of Anyscale Platform is good.
How are customer service and support?
Customer support is outstanding, as the support team is always available whenever we need to reach out or raise a ticket, and they assist us effectively.
I rate the customer support a ten out of ten.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
I did not previously use a different solution.
How was the initial setup?
The entire process with pricing, setup cost, and licensing was smooth, with the costing sheet metrics provided and approval received, which seemed reasonable.
What was our ROI?
I do not really receive reports on exact numbers or budget saved, but if four people used to work on a particular task, that has reduced to one due to Anyscale Platform, allowing others to focus on different tasks.
I mentioned previously that we reduced the number of people needed for certain tasks from four to one, which signifies fewer people, less money saved, and time saved, although I do not have the entire metrics available.
What's my experience with pricing, setup cost, and licensing?
The entire process with pricing, setup cost, and licensing was smooth, with the costing sheet metrics provided and approval received, which seemed reasonable.
Which other solutions did I evaluate?
The other options were evaluated, but Anyscale Platform seemed the best choice.
What other advice do I have?
I advise others looking into using Anyscale Platform to consider its scalability and the services provided, which are all on point. I provided a review rating of seven out of ten.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Great tool for scaling AI workloads
What do you like best about the product?
What impresses me most is how it handles the heavy lifting for Ray. I can develop my AI application code right on my laptop and then deploy it to a large cluster without having to rewrite anything or wrestle with complex infrastructure setups. This effectively bridges the gap between code that only "works on my machine" and a real production environment, which is particularly useful when scaling LLM workloads and managing distributed training. In the end, it saves me a considerable amount of time on DevOps tasks.
What do you dislike about the product?
The pricing structure can feel somewhat unclear, making it difficult at times to anticipate your final monthly bill. This is especially noticeable when compared to the more straightforward cost management you get with handling raw EC2 instances on your own.
What problems is the product solving and how is that benefiting you?
I use Anyscale mainly to overcome the infrastructure challenges of scaling Python machine learning code from my local laptop to a large distributed cluster. My team operates a substantial Retrieval-Augmented Generation (RAG) pipeline, which includes OCR processing and embedding generation for millions of PDF files. Previously, running this workload on a single large EC2 instance would take weeks, and managing AWS Batch jobs involved a lot of boilerplate and ongoing DevOps work. With Anyscale, we were able to wrap our existing Python functions with Ray decorators, enabling the platform to automatically spin up a cluster of over 50 spot instances, process 2TB of data in less than four hours, and then scale back down to zero. This approach has reduced our compute costs by about 60% by taking advantage of spot instances without the need for manual fault-tolerance solutions, and it has allowed my data scientists to independently run large-scale experiments without waiting for DevOps to provision resources.
AI/ML
What do you like best about the product?
Anyscale makes it easy to scale AI/ML workloads without worrying about infrastructure complexity
What do you dislike about the product?
Documentation could be more beginner-friendly with clearer end-to-end examples
What problems is the product solving and how is that benefiting you?
solves the challenge of scaling machine learning and AI workloads without requiring deep expertise in distributed systems. eg remove complexity
Scalable and reliable platform for AI workloads
What do you like best about the product?
Anyscale simplifies the process of moving AI and ML workloads from development to production. Since it is built on Ray, it enables scalability without requiring major code changes.
What do you dislike about the product?
The platform has a noticeable learning curve, particularly for teams unfamiliar with Ray concepts. Pricing is not always transparent, which makes cost planning more challenging.
What problems is the product solving and how is that benefiting you?
Anyscale addresses the challenge of running distributed ML and GenAI workloads efficiently.
Good
What do you like best about the product?
The Anyscale platform was essential as it fully managed, production-ready version of Ray, offering a simplified and integrated developer experience and it made easy to build and it has good scalability.
What do you dislike about the product?
About the disadvantage is during building there is little trouble when debugging trouble.
What problems is the product solving and how is that benefiting you?
I solved the scalability and robustness problems as it was easier to solve.
Infrastructure for AI
What do you like best about the product?
It's provide infrastructure for AI and deep learning.
What do you dislike about the product?
I haven't found anything wrong with the product.
What problems is the product solving and how is that benefiting you?
We were struggling with the risk analysis for the wind turbines components but with the help of Anyscale ray technology we Easley crack it with high true rate.
