Daily Giveaway Calendar
Linux Journal is proud to introduce our Daily Giveaway Calendar. Originally designed as part of our special 200th issue celebration, it was a huge hit with readers–we received up to 650 entries per day. Bringing in more than 3,000 unique entries during only 30 days, this represents an amazing lead generation opportunity for our partners.
Giveaway calendar sponsors can choose to sponsor a single week during a month, or every day of the month. Each day, sponsors provide an item(s) of their choosing to give away. Prizes may be something as small as a T-shirt or sticker, or they may be a server, laptop or other high-end product. Obviously, more valuable giveaways will generate more leads.
To be entered in the drawing for the daily giveaway, visitors simply complete a short entry form on LinuxJournal.com. After each day of sponsorship is completed, we will announce the winner of the giveaway, then send you the collected information for all of the entries for that day–hundreds of contacts who have shown direct interest in acquiring your product.
In addition to receiving the leads generated on the days of your sponsorship, we will also promote your giveaways in our e-mails and newsletters and via LinuxJournal.com and social media, offer entrants the opportunity to subscribe to your newsletter when they complete the registration form, and you will have the opportunity to provide us with a URL to be linked to in the daily giveaway product description.
This is a great way to generate a high volume of leads from a high value web site, at a very low cost. Prices start at $5,000 for a one week sponsorship and $20,000 for a full month (30 day) sponsorship.
NEW: For the month of November (2011), we are also pleased to be able to offer sponsorship positions on a daily basis. Gathering up to 650 leads per day, the price tag of $1250 for a single day of sponsorship could have you paying less than $2 per lead!
Contact Rebecca Cassity today for availability.
rebecca@linuxjournal.com or +1-713-344-1956 ext. 2
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
If you already use virtualized infrastructure, you are well on your way to leveraging the power of the cloud. Virtualization offers the promise of limitless resources, but how do you manage that scalability when your DevOps team doesn’t scale? In today’s hypercompetitive markets, fast results can make a difference between leading the pack vs. obsolescence. Organizations need more benefits from cloud computing than just raw resources. They need agility, flexibility, convenience, ROI, and control.
Stackato private Platform-as-a-Service technology from ActiveState extends your private cloud infrastructure by creating a private PaaS to provide on-demand availability, flexibility, control, and ultimately, faster time-to-market for your enterprise.
Sponsored by ActiveState
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Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?



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