It was only a few years ago that Rackspace did everything manually to launch new products. The process would take us two years and by the time the product launched, someone would beat us on time to market and it would diminish our hard work. We were entering the cloud market and it was clear that we either had to innovate more quickly and get products out faster or we would not be competitive in this growing, fast-paced market.
Maintaining host files on standard *nix system has been traditionally done by hand. This becomes a challenge as the number of systems grows and is more true in the cloud model, where you might add/delete servers at a higher rate. One solution would be to use DNS and use a local zone to store your host name to IP mapping. If you are using Chef for automation, here is another example on how to automatically generate the host file entries.
Alerting is so passé. Think about it. How much of an outage is spent on alerting? Two minutes, maybe 15 if you’re unlucky and the person you’re looking for is not-so-easy-to-find. There are lots of services that alert you when something broken, but what happens after that?
For the fast-growing Internet-centric and SaaS applications that you deploy weekly or even daily, you need specialized DevOps engineers who can look beyond servers to help you build the most agile and scalable platform possible.
You are pouring a sizeable portion of your life into building a world-class product. Amid the stress and passion of building out new features and fixes, it is important to also develop the discipline of automated testing and configuration management. Here’s why:
MongoDB adoption has exploded in the last few years, making it the leading NoSQL database. This widespread acceptance is largely due to its appeal among developers – MongoDB has many traits that make it the go-to option to rapidly develop applications.
This is a guest post written by Nigel Kersten, CTO of Puppet Labs, a Rackspace partner that makes IT automation software enables system administrators to deliver the operational agility and efficiency of cloud computing at enterprise-class service levels, scaling from handfuls of nodes on-premise to tens of thousands in the cloud.
MongoDB, the leading NoSQL database, incites a lot of passion on the web. There are some who love this schemaless database and others who think it’s overrun with challenges. We polled several of our Rackspace developers and operations engineers to find out what they think of MongoDB.