The company blog of MongoHQ, a hosted MongoDB service, covering product launches, monitoring tools, and database advice.
HN commenters link it for product announcements like elastic deployments and two-factor authentication, and for guides on connecting to MongoDB.
> Until you want some analytics.
I can actually respond to this specifically, as we recently had a project that needed us to build some decently-sized and complex analytics into their app. I spent about a month researching how most analytics solutions are structured and work, and became very familiar with the codebase for FnordMetric, which is one such open-source analytics solution.
You wouldn't initially think it (I certainly didn't), but Mongo is actually a great use-case for analytics data. Here's why...
Most analytics platforms don't query live-data and build reports on the fly. It's terribly inefficient and doesn't scale. If something like Google Analytics did this, it'd take forever for your Analytics dashboard to load, especially at their scale.
What most analytics platforms do, is they know before-hand what data you want to aggregate and at what granularity, and they perform calculations (such as incrementing a counter) and then store the result in a separate analytics database/table. In fact, there are several presentations and articles about doing things like this with Mongo:
http://blog.mongohq.com/first-steps-of-an-analytics-platform-with-mongodb/
http://www.10gen.com/presentations/mongodb-analytics
http://blog.tommoor.com/post/24059620728/realtime-analytics-at-buffer-with-mongodb
And then, this is an interesting article that discusses the difference between processing data into buckets on the way in, and creating an analytics platform that does more…
The title "Guide to MongoDB for Startups" is hand-wavy, and is more like a high level overview of MongoDB architecture. If you are looking for a "Guide to MongoDB for Startups", it would probably be part of a much larger series of technology choices for startups. Since I found the other lacking, I'll give you my perception of a Guide to MongoDB for Startups:
* Do you have a customer yet? If not, technology choices do not matter, go build your product as fast as possible and get a customer.
* Is your system starting to have slow performance during max usage? If so, every system will have a few easy optimizations, find those using something like NewRelic. Aside from those, technology choices do not matter, throw money at any scaling problem (at this point, it typically isn't that much money). This will optimize your time for sales and marketing to get more customers.
* Is your system starting to buckle under the weight of customers? If so, go hire someone who can scale everything you learned from your customers, and not someone who bends to the latest trends on HN.
Here is an article on my philosophy and experience with scaling businesses and architectures: http://blog.mongohq.com/changing-the-growth-formula/
A few Heroku add-ons have also high availability options. Along with a new add-on status page http://status.addons.heroku.com/
RedisToGo - http://blog.togo.io/status/redistogo-hurricane-preparation/
MongoHQ - http://blog.mongohq.com/blog/2012/10/29/monitoring-the-weather-situation-with-hurricane-sandy/
I think you should be able to do it.
You can access S3 using this: http://code.google.com/p/js3db/
MongoHQ has a REST API, so calling it from Javascript should be easy. This document might help you: http://blog.mongohq.com/blog/2012/02/20/connecting-to-mongohq
Links for those who desire the clicky:
http://blog.mongohq.com/new-elastic-deployments-now-available
Continued: https://gist.github.com/mrkurt/7629bab3e9a8016a5fda
Blog post with more information: http://blog.mongohq.com/two-factor-authentication-made-authfully-easy/