Breakthrough in Visibility to Manage Network Traffic Encryption with IBM zERT
zERT data can enable network administrators to both evaluate ongoing adherence to security policies and programmatically provide data for required reporting to auditors and compliance officers.
Check your Fibre Cable!
In this blog we discuss the meaning of some common Fibre channel errors, the implications in terms of availability and the actions that one should take to resolve the issues.
Despite the benefits - zIIP processors are typically less expensive to purchase and also run at full speed on sub-capacity CPU models - zIIP processor usage may not always be what one hopes for.
Avoiding High Asynchronous Replication Response Times on z/OS Disk
What to do when you have ongoing exceptions for high asynchronous replication response times on one of your primary disk subsystems.
NVMe over Fabric – Fibre Channel
Almost all new storage offerings these days offer some level of support for Non-volatile Memory Express (NVMe). The purpose of this blog is to help the reader understand NVMe and prepare them for successful adoption of this powerful technology.
Managing the Gap in IT Spending and Revenue Growth in your Capacity Planning Efforts
Capacity planning is important, but don’t let the importance of future capacity needs for the budget drive you to overlook opportunities to building a bridge toward better performance and longer term efficiencies.
Throwing out the Rolling Four-Hour Average with Tailored Fit Pricing, Enterprise Consumption
The Rolling 4-Hour Average (R4HA) is a measurement of your average speed, over four hours; Tailored Fit Pricing measures precisely how far you drove.
Observability, Availability, Scalability and White Box Analytics
In this blog, we describe what observability means, how it relates to availability, how it impacts scalability and how IntelliMagic Vision fits into the observability landscape.
Smart Data Spelunking
Splunk has proven extremely useful in many areas of business analytics and has opened up a wide variety of data views and analysis options, but processing vast amounts of mainframe data with Splunk may not be the best approach.