By this definition, we've been running "serverless" on Google App Engine for most of a decade. * We don't monitor how many instances are running and don't really care. Our "functions" are http endpoints. GAE spins up or down instances to meet the load. Our interface with "instances" is just the size of the bill at the end of the month. * Async task processing is also just an http endpoint function. We even have a lit…
Serverless Architectures
81–90 of 149 posts
Re: Serverless Architectures
#82Earlier quoted context omitted.
Heroku is much slower at resuming on incoming traffic, because it has to boot up a dyno to serve your code. A cold start on Heroku usually takes 30 seconds (for me anyways). A cold start on AWS Lambda takes 2-5 seconds, which the user won't notice on my services because the frontend is served from S3 and rendering is client side. And the way services are coupled to the app is about the same. I've used both Heroku and…
Sure, it's designed to be faster to boot up, but Heroku could optimize their startup time.
Re: Serverless Architectures
#83By this definition, we've been running "serverless" on Google App Engine for most of a decade. * We don't monitor how many instances are running and don't really care. Our "functions" are http endpoints. GAE spins up or down instances to meet the load. Our interface with "instances" is just the size of the bill at the end of the month. * Async task processing is also just an http endpoint function. We even have a lit…
We've been discussing Google BigQuery as serverless lately. It's a nice succinct way of saying "fully-managed" + "no-ops" + "no resource deployment" + "seamless scaling" + "separation of storage and compute" + "deployed regionally" + etc. Some customers talk about BigQuery as "Data Center is the Database". So these buzzword help describe what BigQuery is and how it is different from other analytics services and technologies.
In any case, if a buzzword helps get across some meaning, sure, go for it. Folks just get carried away :)
(work on BigQuery)
Re: Serverless Architectures
#84Earlier quoted context omitted.
That's true, but for a public cloud service, you wouldn't let random people run arbitrary code based purely on inet.d or systemd socket activation.
Why not? RedHat will let you run arbitrary binaries just fine on OpenShift - both long-running/worker/"PaaS" and on-demand/per-request/"FaaS". Obviously this is tightly locked down with cgroups.
Re: Serverless Architectures
#85What kind of evil genius devised a term that suggests peer-to-peer, to describe something that relies more than ever before on central services and authorities? It feels like "intellectual property" all over again —which suggests the rules used for rival goods can be used for ideas, hence ignoring the difference between moving and copying.
We can even deploy that code to IoT devices and embed it inside of desktop and mobile apps.
Serverless frees us from lock-in, but it does not have its own state, so it's easy to become locked into various web services. However, it's also easy enough to rely on your services (microservices) for state, avoiding lockin to other IaaS/SaaS products.
Re: Serverless Architectures
#86Is Google App Engine an example of serverless? The user does not really think about servers, and the code is mostly written as event handlers. The abstraction is a bit leaky though, and you can tell that there are instances being spun up and down.
The difference is that traditional PaaS like App Engine and Heroku imply a certain amount of lock-in (although this has gotten better over time), whereas Serverless is a more raw compute service that is no more locked-in than, say, EC2.
Re: Serverless Architectures
#87By this definition, we've been running "serverless" on Google App Engine for most of a decade. * We don't monitor how many instances are running and don't really care. Our "functions" are http endpoints. GAE spins up or down instances to meet the load. Our interface with "instances" is just the size of the bill at the end of the month. * Async task processing is also just an http endpoint function. We even have a lit…
If GAE has had "serverless" for most of a decade, then why did Google decide to create Google Cloud Functions? https://cloud.google.com/functions/docs/
Re: Serverless Architectures
#88By this definition, we've been running "serverless" on Google App Engine for most of a decade. * We don't monitor how many instances are running and don't really care. Our "functions" are http endpoints. GAE spins up or down instances to meet the load. Our interface with "instances" is just the size of the bill at the end of the month. * Async task processing is also just an http endpoint function. We even have a lit…
Re: Serverless Architectures
#89By this definition, we've been running "serverless" on Google App Engine for most of a decade. * We don't monitor how many instances are running and don't really care. Our "functions" are http endpoints. GAE spins up or down instances to meet the load. Our interface with "instances" is just the size of the bill at the end of the month. * Async task processing is also just an http endpoint function. We even have a lit…
If GAE has had "serverless" for most of a decade, then why did Google decide to create Google Cloud Functions? https://cloud.google.com/functions/docs/
The answer is that Cloud Functions and AppEngine fulfill different use cases. There's clearly room for both.
Re: Serverless Architectures
#90By this definition, we've been running "serverless" on Google App Engine for most of a decade. * We don't monitor how many instances are running and don't really care. Our "functions" are http endpoints. GAE spins up or down instances to meet the load. Our interface with "instances" is just the size of the bill at the end of the month. * Async task processing is also just an http endpoint function. We even have a lit…
I've been using Elastic Beanstalk lately and it's a true pleasure.
I'm considering using beanstalk for a php app but we have content changes that are very frequent. 134 domains (virtual hosts) and maybe 500 pages (the html) change a day.
How do you update the load balanced set of instances when the instances count changes? tks