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.
ember.js might be a bit more popular than Cast.ai. We know about 33 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.
Django, for example, has a template engine that allows you to define a template in HTML and render it with a context -- data usually sourced from the database via the Django view. However, with its filters and helpers, it is almost too powerful -- undermining the core idea of templating. The same goes for Ember.js, as well. - Source: dev.to / about 1 month ago
While working on EmberJS projects, I've been using pre-alpha version of @embroider/app-blueprint quite a lot lately and I hit a baffling error:. - Source: dev.to / 3 months ago
I had a need to dynamically load a folder images in my EmberJS app that is using embroider-build/app-blueprint and ResponsiveImage. Turns out I could use vite glob imports and resulting code looked something like:. - Source: dev.to / 3 months ago
If you're using PNPM as a package manager for your EmberJS project and you find yourself in a need to install a v2 addon from git(hub) fork (because you have a branch with patched version), then you might find that GitHub URLs in package.json tricks don't work for you. - Source: dev.to / 9 months ago
Ember-leaflet is a very popular addon from EmberJS ecosystem that allows a lot of flexibility. - 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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