8.11.16
The Human Impact of Hyperscale IT Failure
How do you reap the benefits of hyperscale IT while minimizing the risk of complex system failures that hurt your business, and, worst of all, hurt your customers?
Isaac Roybal
7.13.16
How to Automatically Detect and Block Ransomware
Cybercriminals upped their game, so we are upping ours (and yours.) Learn how to detect and stop ransomware automatically.
Tom Roeh
5.11.16
For Ransomware Detection, Behavior Beats Signatures
We use four detection methods to provide early warning so IT teams can stop ransomware attacks in progress before the damage is done. The methods are...
Tom Roeh
5.9.16
Stream Processing vs. Continuous PCAP: The Big Shift in Monitoring Architectures
Enterprise IT monitoring is undergoing a major shift, and stream processing architectures are going to come out on top.
Raja Mukerji
4.11.16
The Big Idea Behind IT Operations Analytics (ITOA): IT Big Data
Learn the basics of ITOA and operational analytics, including why it works and how it helps grow your profits.
Erik Giesa
2.19.15
The Four Data Sets Essential for IT Operations Analytics (ITOA)
Learn about wire, machine, agent, and synthetic data, the four data sets that are essential for any ITOA practice.
Erik Giesa
5.29.13
Understanding Data Integrity: Preserving Meaning in Aggregation
One trillion of anything is a tremendous number. How do you preserve the meaningful insights in your data, while making it manageable to access and query?
Ryan Kosai
9.17.12
Why ExtraHop + Splunk Integration Matters
Read how the Splunk App for ExtraHop enables IT teams to record important real-time metrics in Splunk that would otherwise be difficult or impossible to log.
Justin Baker
9.28.11
Data Storage, Impact by the Numbers, and What It Means for Application Performance Management (APM)
The amount of data stored digitally has exploded since 1986. Passive, network-based APM tools are able to monitor data storage and fix Big Data-induced problems
Justin Baker
8.4.11
Application Performance Management (APM) in the Era of Big Data
For enterprise IT managers, Big Data means exponential increases in traffic, transactions, and overall complexity. Traditional APM solutions can't keep up.
Adam Sinnett
2.28.11
The Argument for Solving Database Performance Problems with Application Performance Management (APM)
Can database performance problems can be solved by fast storage? A Database Application Performance Management system works best to manage database performance.
Adam Sinnett
8.10.09
Comparing NetScout, NetQoS, OPNET and ExtraHop
Justin Baker