2015年11月27日 星期五

vForum 2015報名即將額滿! 用戶經驗分享議程壓軸公布!

vForum 2015報名即將額滿!
用戶經驗分享議程壓軸公布!

2015年12月9日(三)
08:15 ~ 17:10 (08:15 開始報到)
台北國際會議中心一樓
(台北市信義路五段1號)

2015年11月19日 星期四

New! Insider's Guide to Incident Response

New! Insider's Guide to Incident Response
This free guide gives an in-depth look at fundamental strategies of efficient, effective incident response -- from practical tips on how to build an incident response plan and team, to necessary tools and training for team members.

2015年11月17日 星期二

置身在瞬息萬變的經營環境裡,企業如何做好準備,迅速精準地滿足持續改變的業務需求?

2015年12月9日(三)
08:15 ~ 17:10 (08:15 開始報到)
台北國際會議中心一樓
(台北市信義路五段1號)
立即報名
*主辦單位保有審核報名資格及變更活動內容之權利。
置身在瞬息萬變的經營環境裡,企業如何做好準備,迅速精準地滿足持續改變的業務需求?

最佳解答,就在雲端與企業行動化技術盛會vForum 2015。

vForum 2015巡迴活動在亞太地區已吸引超過四萬人參與,12月9日即將挾著超高人氣登台,為企業帶來全新的效率、靈活度和競爭力。

2015年11月10日 星期二

Why You Should Modernize Your Code (and What to Consider Before You Do)

Why You Should Modernize Your Code (and What to Consider Before You Do) 
Modernizing your code will give you better performance, readability and reusability—and probably make your boss happier, too. Rick Leinecker shows how to upgrade using your compiler, and what downsides to consider before you modernize.

2015年11月8日 星期日

Firesheep and Sidejacking

The recent release of the Firesheep Wi-Fi attack tool has increased awareness among both users and attackers of the inherent insecurity of unprotected HTTP connections. Firesheep allows an attacker connected to the local network to monitor the web sessions of other users on that network.

2015年11月7日 星期六

Site24x7: All-in-One Monitoring for DevOps and IT Operations

Site24x7: All-in-One Monitoring for DevOps and IT Operations
One console that provides comprehensive monitoring for websites, apps, server,
AWS and network. Get alerts through email, SMS, voice calls or mobile push
notifications. 

2015年11月3日 星期二

Getting Started With Data Analytics Acceleration Library

Getting Started With Data Analytics Acceleration LibraryShare your comment!

As the size of data grows, so does the difficulty performing analysis. The larger the data, the more difficult in terms of time and resources that analysis requires. For instance, most web servers log all page requests, including asset files such as CSS, image and JavaScript. And there are a lot of them—the days of opening a server log file with Notepad to examine it are over. You need a big data approach. And that is what Intel has provided with its Data Analytics Acceleration Library (DAAL).
DAAL to the Rescue
Analytics is a technical problem that solves a business one. The technical part of the problem is how to perform analytics on large data. The business part is using analytics to make good business decisions. The final objective of DAAL is to provide the information necessary to make good business decisions.
A large part of data analytics is machine learning. This technology is not new, but Intel has provided a comprehensive package with which developers can easily add machine learning to their arsenal. DAAL provides all of the building blocks for machine learning, and these blocks can then be used to perform analytics for decision making.
Large data analytics invariably introduce bottlenecks. This is understandable when you consider the large amounts of data that are transported over a communication layer. DAAL manages these bottlenecks during the entire process. You’re free to manage your analytic flow and focus on solving the business problems.

Intel's 'Discovery Peak' Platform Ready for its Close-Up

Intel's 'Discovery Peak' Platform Ready for its Close-Up 
After almost three years in development, Intel's Cloud-based Trusted Analytics Platform (TAP) — formerly known as "Discovery Peak" — has its first pilot projects
. John O'Donnell covers the benefits to be gained from this open-source tool. Learn more, then tell us what you think in our comments section on the story page.