CAST AI is driven by a vision of decentralizing the cloud industry to free innovators from the limitations of cloud service providers. Our AI-powered cloud optimization engine delivers a cost-efficient, high-performing, and resilient infrastructure for every Kubernetes workload. Its unique blend of automation and optimization algorithms empowers innovators to build future-ready products and embrace the autonomous cloud. No more vendor lock-in or downtime, the cloud just got solved.
Google App Engine might be a bit more popular than Cast.ai. We know about 31 links to it since March 2021 and only 24 links to Cast.ai. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If Google App Engine (GAE) is the "OG" serverless platform, Cloud Run (GCR) is its logical successor, crafted for today's modern app-hosting needs. GAE was the 1st generation of Google serverless platforms. It has since been joined, about a decade later, by 2nd generation services, GCR and Cloud Functions (GCF). GCF is somewhat out-of-scope for this post so I'll cover that another time. - Source: dev.to / 4 months ago
As Windsales Inc. expands, it adopts a PaaS model to offload server and runtime management, allowing its developers and engineers to focus on code development and deployment. By partnering with providers like Heroku and Google App Engine, Windsales Inc. Accesses a fully managed runtime environment. This choice relieves Windsales Inc. Of managing servers, OS updates, or runtime environment behavior. Instead,... - Source: dev.to / 6 months ago
Google App Engine (GAE) is their original serverless solution and first cloud product, launching in 2008 (video), giving rise to Serverless 1.0 and the cloud computing platform-as-a-service (PaaS) service level. It didn't do function-hosting nor was the concept of containers mainstream yet. GAE was specifically for (web) app-hosting (but also supported mobile backends as well). - Source: dev.to / 7 months ago
In 2014, I took a web development on Udacity that was taught by Steve Huffman of Reddit fame. He taught authentication, salting passwords, the difference between GET and POST requests, basic html and css, caching techniques. It was a fantastic introduction to web dev. To pass the course, students deployed simple python servers to Google App Engine. When I started to look for work, I opted to use code from that... - Source: dev.to / 10 months ago
GCP offers a comprehensive suite of cloud services, including Compute Engine, App Engine, and Cloud Run. This translates to unparalleled control over your infrastructure and deployment configurations. Designed for large-scale applications, GCP effortlessly scales to accommodate significant traffic growth. Additionally, for projects heavily reliant on Google services like BigQuery, Cloud Storage, or AI/ML tools,... - Source: dev.to / 10 months ago
There are tools CastAI (https://cast.ai/) and KubeCost (https://www.kubecost.com/) which helps you get these values. I haven't tried it personally, but they are promising. There are other tools as well. One of the approach OP suggested, monitor the values over a period of time to determine the right requests value, is really good one. I would modify it a bit. Generally take the p95 value for requests and 1.5-2x... Source: almost 2 years ago
Not sire if this helps but someone just showed me this free tool that looks at cost for Kube https://cast.ai/. Source: about 2 years ago
Curious about what about cast.ai sets it apart for you? I went with spot because it is owned by a big company and knew it wasn't going to disappear. I think cast was still in invite only mode, as well. Source: over 2 years ago
I found that cast.ai seems to have this functionality but am wondering if there is a free option. Also pursuing gMaestro but they're not available on arm64 yet. Source: over 2 years ago
If you're using Kubernetes, CAST AI is the fastest way to significantly reduce your compute bill and keep it there. It manages compute capacity automatically and has dedicated support to get you started even faster. The best part - Kubernetes cost monitoring and security insights are free. Source: over 2 years ago
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