A machine learning based recommendaiton engine using Prometheus metrics data, to optimize cost, performance, and compute capacity of Kubernetes workloads and clusters.
Most cloud billing optimization solutions look at your current cloud provider bill and shows you where your dollars go - within that cloud provider.
What they don’t tell you is how that relates to your workload’s performance, distribution, or optimal compute capacity. Knowing how much you spend on cloud services won’t help you figure out whether that’s justified or not.
Instead of looking at just one dimension, cost, we look at 3 dimensions - cost, performance, and capacity. This is a hard problem for humans to solve. It would take 2-3 humans to continually look at these dimensions to figure out whether they use spot instances, let alone when, how many, etc. When each hour/day the deployment frequency changes, the workload behavior changes and therefore the cost/performance ratio changes.
The customers that spend any where between 4 figure (1000s of $) to 6 figures (e.g $100K or more) have no idea how to optimize their spend without affecting the SLA's of their workloads.
These are the types of questions customers are asking us: https://www.katen.ai/quotes
Thank you for all the upvotes. It’s great to see people are interested in this problem.
We are also heartened that several people signed up for Early Access. Your support and encouragement means a lot to us at this trying time.
Be safe and be well!
Keep it coming. It's up to 43 votes now!. You are all awesome!
We added an updated screen shot as we make progress. Please sign up for early access. We are focusing on SME that are spending anywhere between $1K to $300K per month on their cloud bill. Note: we are focused on the key ratio of price/performance. Costs are just one part of the equation.
We'd love to learn more about your environment with this survey:
https://forms.gle/1U6A567YnDtKNvC6A
An update - we are saddened that two of our people have been impacted by COVID-19. not personally, but the economic impact on their families have taken a toll. We wish them well and encouraging them to take the time they need for their families.
Of course, this means that we have hit a bit of a snag in our delivery. Luckily, more people want to join and help us. As Ben Silberman of Pinterest says, recruiting is a lot easier when people care about solving hard problems. That is the case with us. We are grateful to them and look forward to on-boarding them so we can get back on track. Stay tuned.
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