Quantcast
  • E-mail
  • Print
  • Comment
  • Font Size
  • Digg
  • del.icio.us
  • Discuss article

Mazu Networks Announces Availability of Podcasts on Network Monitoring and WAN Management

Posted on: Tuesday, 8 January 2008, 09:00 CST

CAMBRIDGE, Mass., Jan. 8 /PRNewswire/ -- Mazu Networks, the leading(1) provider of Network Behavior Analysis (NBA) systems, today announced the availability of two new podcasts intended to help educate IT organizations on how to effectively address network monitoring and WAN management issues.

The two podcasts, moderated by Charles Kaplan, chief technology strategist for Mazu Networks, include:

-- "It's 2008 - Do You Know What Your Network is Doing?" - In the "old" days, network monitoring meant ensuring things were "on" and getting an alert when they went "off." This Boolean approach is no longer sufficient; if the alert is generated after a device or service goes down, the information reaches you too late. You need to know when there is service degradation so that you can address the problem before the disruption occurs. This podcast will discuss how NBA systems monitor network activity in real time, compare it to typical behavior and alert you of changes that indicate problems on the network. -- "Three Steps to Better WAN Management" - A number of WAN acceleration and optimization products are available to help you manage the cost of operating your WAN. These technologies tend to focus on finding ways to move traffic faster through the WAN pipes. While this is certainly useful, there is much more that can be done to ensure that your WAN offers maximum performance while minimizing cost. This podcast will discuss how NBA systems help analyze WAN usage to improve availability and reduce cost.

"Through the release of our podcasts, we are able to provide IT teams with the information they need to better understand the technology that can help them tackle the challenges of network monitoring and WAN management initiatives," said Kaplan. "With NBA technology, IT teams can effectively ensure optimal performance and availability of critical business services."

The podcasts are available for download at the following sites:

-- Network monitoring: http://www.mazunetworks.com/resources/request-mazu-podcast-network- monitoring.php

-- WAN management: http://www.mazunetworks.com/resources/request-mazu-podcast-wan-mgmt.php

For more information on Mazu Networks, or other podcasts available for download, please visit http://www.mazunetworks.com/.

About Mazu Networks, Inc.

Mazu Networks offers solutions that enable IT organizations to manage, secure, and optimize the availability and performance of business services. Mazu Profiler uses Network Behavior Analysis (NBA) to provide a new way of looking at the IT infrastructure by analyzing network traffic to provide valuable information about the interactions of and dependencies between users, applications, and systems. This enables enterprise IT organizations to ensure optimal performance and availability, enhanced protection and support for regulatory compliance, and informed decision making for IT initiatives. Only Mazu Profiler offers behavioral analytics, user identification and application fingerprinting, role-based presentation using common data, and intelligent operation with other systems in the infrastructure. With Mazu Profiler, hundreds of customers are able to ensure the availability, performance, and security of business services as well as to reduce costs and satisfy regulatory requirements. For more information, please visit http://www.mazunetworks.com/.

(1) See: http://www.mazunetworks.com/news-events/061201-yankee.php.

Mazu Networks

CONTACT: Carol Lee of Mazu Networks, Inc., +1-617-354-9292, ext. 104,carol.lee@mazunetworks.com; or Paul Hughes of Topaz Partners, +1-781-404-2416,phughes@topazpartners.com, for Mazu Networks, Inc.

Web site: http://www.mazunetworks.com/


Source: PRNewswire

More News in this Category


Related Articles



Rating: 2.8 / 5 (15 votes)
Rate this article:
1/52/53/54/55/5

User Comments (0)

Comment on this article

Your Name
Text from the image
Comment
max 1200 chars
* All fields are required