Saya mengucapkan selamat hari raya aidilfitri.
Moga anda semua berbahagia disamping keluarga dan org tercinta..
Happy Hari Raya Eidulfitri
Wishing you happily besides your family and beloved people
Thursday, September 24, 2009
Wednesday, September 23, 2009
Dark matter: Black gold for IT
Solutions like Splunk 4 and ArcSight FraudView shed light on buried log files, transforming them into strategic data resources
Compliance has turned us into pack rats. Even outside the heavily regulated health and financial industries, many of us now reflexively play it safe and save anything that seems important. But surprisingly, this "structured" information -- documents, e-mail, transaction records -- accounts for only about half of all enterprise data.
The other half is so-called dark matter. Generated by servers, routers, desktops, switches, and other systems, dark matter generally takes the form of log files that record errors, system access attempts, and countless other events. Dark matter in IT, like that mysterious stuff floating in deep space, is both widely distributed and hidden despite its enormous mass.
Typically, IT pays attention to dark matter only after something goes wrong. When there's a security breach, you go straight to the log files to see when and how the breach began and which systems may have been compromised. When a server goes down, log files usually reveal the cause of the failure. Otherwise, dark matter stays in the dark.
But what if you monitored those log files en masse as a matter of course? Could you drill into dark matter and detect security breaches in progress or sound the alarm based on a pattern of errors before a server falls over?
The answer to that question points to some of the most interesting enterprise technology around -- including SEM (security event management), cloud-based distributed computing, and advanced search technology expressly designed for dark matter.
To take a timely example, ArcSight -- one of the leading SEM vendors -- just announced FraudView, which mines security log data for statistically significant patterns of nefarious activity. According to Reed Henry, senior vice president of marketing for ArcSight, FraudView is already being used to detect wire fraud in wholesale banks and "pump and dump" stock schemes in retail brokerages.
On the raw technology side, there's Apache Hadoop, a Java programming framework designed for data-intensive parallel processing. Hadoop turns out to be perfect for pulling together log files distributed across an organization for analysis. Amazon now provides turnkey Hadoop services, so customers can shovel huge quantities of log data onto Amazon servers and crunch on it mercilessly, teasing out patterns that may yield profound insights on, say, application or datacenter architecture.
Compliance has turned us into pack rats. Even outside the heavily regulated health and financial industries, many of us now reflexively play it safe and save anything that seems important. But surprisingly, this "structured" information -- documents, e-mail, transaction records -- accounts for only about half of all enterprise data.
The other half is so-called dark matter. Generated by servers, routers, desktops, switches, and other systems, dark matter generally takes the form of log files that record errors, system access attempts, and countless other events. Dark matter in IT, like that mysterious stuff floating in deep space, is both widely distributed and hidden despite its enormous mass.
Typically, IT pays attention to dark matter only after something goes wrong. When there's a security breach, you go straight to the log files to see when and how the breach began and which systems may have been compromised. When a server goes down, log files usually reveal the cause of the failure. Otherwise, dark matter stays in the dark.
But what if you monitored those log files en masse as a matter of course? Could you drill into dark matter and detect security breaches in progress or sound the alarm based on a pattern of errors before a server falls over?
The answer to that question points to some of the most interesting enterprise technology around -- including SEM (security event management), cloud-based distributed computing, and advanced search technology expressly designed for dark matter.
To take a timely example, ArcSight -- one of the leading SEM vendors -- just announced FraudView, which mines security log data for statistically significant patterns of nefarious activity. According to Reed Henry, senior vice president of marketing for ArcSight, FraudView is already being used to detect wire fraud in wholesale banks and "pump and dump" stock schemes in retail brokerages.
On the raw technology side, there's Apache Hadoop, a Java programming framework designed for data-intensive parallel processing. Hadoop turns out to be perfect for pulling together log files distributed across an organization for analysis. Amazon now provides turnkey Hadoop services, so customers can shovel huge quantities of log data onto Amazon servers and crunch on it mercilessly, teasing out patterns that may yield profound insights on, say, application or datacenter architecture.
Monday, September 21, 2009
Google offers Android 1.6 SDK
The development kit features a new search framework, CDMA backing, and support for additional screen sizes
The Android 1.6 SDK, which adds backing for CDMA and additional screen sizes to the Android mobile device software platform, is available for developers to download, the Google Android blog said this week.
The downloadable kit is based on the "donut" branch of the Android Open Source Project. Support for CDMA and additional screen sizes enables applications to be deployed on more mobile networks and devices, the blog states.
[ Also on InfoWorld: Last week, Motorola unveiled its Android-based Cliq handheld. | Is it too late for Android to get its developers back on board? InfoWorld's Neil McAllister explores why Android developers are unhappy. | Dive deep into next-gen mobile with InfoWorld's 20-page PDF featuring hands-on reviews, analysis, and insights from our editors. ]
"You will have access to new technologies, including framework-level support for additional screen resolutions, like QVGA and WVGA, new telephony APIs to support CDMA, gesture APIs, a text-to-speech engine, and the ability to integrate with Quick Search Box," said Android SDK tech lead Xavier Ducrohet.
The 1.6 release of Android features a redesigned search framework for users to search across multiple sources such as browser bookmark, contacts, and the Web. Searches can be done via the home screen. The user interface offers an integrated camera and a faster camera experience. A VPN control panel lets users configure different types of VPNs. Also featured is a battery usage screen indicating which applications and services are consuming power.
Version 1.6 also offers the Pico multilingual speech synthesis engine. Developers also gain a framework for building and recognizing gestures and associating them with specific actions. The SDK features the GestureBuilder tool to generate libraries of gestures to include with applications.
Devices running Android 1.6 are anticipated as soon as next month, Ducrohet said. Applications written for older versions of Android will run on version 1.6.
The kit requires a new version of Android Development Tools and includes a tool to enable downloading of updates and components like add-ons or platforms.
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