I just logged into my AWS account and I noticed every charge has doubled for my September usage, literally overnight!
I called AWS and they said this has been reported by multiple people and they still don't know how many accounts are affected, did this happen to you too?
I work with a company that has a few GPU-intensive ML models. Over the past few weeks, growth has accelerated, and with that costs have skyrocketed. AWS cost is about 80% of revenue, and the company is now almost out of runway.
There is likely a lot of low hanging cost-saving-fruit to be reaped, just not enough people to do it. We would love any pointers to anyone who specializes in the area of cost optimization. Blogs, individuals, consultants, or magicians are all welcome.
I’m Kaveh, founder and CEO of Usage, and am excited to show you Usage, an app that helps you slash your AWS EC2 bill by 50% in ~5min by trading reservations. As of today, Usage is in General Availability and any AWS user can use it. It works by creating a limited-access IAM role (ReadOnly + Ability to Manage Reservations) into your AWS account(s).
The AWS console interface has made it hard for companies to optimize their AWS spend. After years of working for different companies that use AWS, I still find it difficult to understand how much money I’m spending on AWS. I don’t know who owns what instances, how our commitments are saving us money (RIs, SPs, EDPs), and what instances can be sized down (or switched to spot).
At Usage, we are building a web-based app that keeps you in charge of your AWS while minimizing your bill. No code change, no moving your AWS account or instances around, and no downtime. We’ve built:
1) Real-Time RI/SP Recommendations: See which instances are uncovered by your SPs and/or RIs and get them covered with a single button tap. Instant savings.
2) RI Sell Recommendations: RIs that are no longer utilized are highlighted and sold instantly. No more worrying about unutilized RIs and no more needing to forecast your compute needs.
3) Consolidated View: View your EC2 instances and RI/SPs across all your AWS accounts in a single space. No more switching between AWS accounts.
4) Teams and Audit Log: Add as many users as you’d like to your Usage dashboard, and see who approved which recommendations.
We built Usage in ReactJS, Python, Java– and along the way we built our own internal accounting system to keep track of customer savings. We have plans to eventually release an open-source version of Usage.
Our business model is 20% of the savings we find you. We only make money when we save you money. We bill monthly and have longer-term enterprise plans available.
We take privacy extremely seriously. Your data is always protected both at-rest and in-transit. Additionally, Usage never collects or stores sensitive information. Usage only collects meta-data such as CPU utilization, launch time, instance configuration, region, etc. You can read our full privacy policy here: www.usage.ai/policy/
We are confident we can deliver a better AWS cost savings experience that is meaningfully better than other tools. If you use AWS, please give it a shot at www.usage.ai and let us know.
CAST AI (https://cast.ai) has built a cloud optimization platform that reduces AWS cloud costs 50% to 90%, optimizes DevOps, and automates disaster recovery via multi-cloud with a single cluster. Intelligent optimization engine delivers a cost-efficient, high-performing, and resilient infrastructure for every Kubernetes workload.
If it sounds too good to be true - try free. To make it easier CAST AI provides AWS and GCP cloud credentials for free. Visit https://cast.ai
Here's how it works:
1.Use CAST AI to deploy your K8s clusters. Next, take a look at the CAST AI Console, APIs, CLI, or Terraform to manage your declared application state. The platform will take care of the cluster management and deployment with standard Kubernetes.
2.If you use cloud services, they will just continue to work as usual.
3.CAST AI deploys inside your cloud accounts: CAST AI is an orchestration layer that commands cloud platforms via APIs. This means that the platform creates and sets up all the cloud resources in your existing cloud accounts (AWS, Azure, Google). All these resources are yours, available in your accounts, and under your control. This includes the master nodes and control plane.
I'll cut straight to the chase here, our AWSbill is creeping up faster than we can actually control our resources and I need some help. I work for compute intensive AI SaaS company and that had a pretty big spike in traffic last month so now our AWS costs are at least 3x. Currently we don't really have that manpower to manage the bill so I would appreciate any advice that you'll throw at me. (People to follow, tools, blogs, or just any sort of general tips)
What we considered: -Spot instances, but that very short shutdown notice doesn't sound attractive to our workloads -AWS savings plans, though we aren't keen on that long term commitment -I've seen many people mention calling AWS support, so do we just bargain there to get better prices?
I called AWS and they said this has been reported by multiple people and they still don't know how many accounts are affected, did this happen to you too?