Resources

Blog
Blog

The Shared Responsibility of Cloud Security

By Bob Erdman on Fri, 10/26/2018
The agreement that cloud security is a shared responsibility between cloud providers and cloud users has now firmly taken hold. How those responsibilities shake out, however, is an ongoing conversation.
Infrastructure and Data Protection
Article
Article

Eight Steps Toward a Secure Hybrid Cloud Environment

Fri, 03/16/2018
Protect your data and your company from internal and external threats by ensuring that your security policies on-premises and in the cloud are aligned with this checklist.
Infrastructure and Data Protection
Compliance
Article
Article

New Approaches to the SWIFT and PCI-DSS Framework

Mon, 03/13/2017
THE WORLD OF COMPLIANCE At the official start of summertime 2016 in Britain we are starting to consume the labour of last autumn, five gallons of alcoholic homemade cider (yum!) made from eight apple varieties grown in mine and my neighbors’ gardens. I’m very VERY careful sterilizing glassware, containers, and buckets: there was this unfortunate incident three years ago (no, you don’t want to hear...
Infrastructure and Data Protection
Blog
Blog

Database Transaction Log Management

Mon, 03/06/2017
Don't let database transaction logs weigh you down. Find out how to preserve data integrity and consume less disk space.
Automation
IBM i Business Intelligence
On-Demand Webinar
On-Demand Webinar

Quick and Easy IBM i Disk Space Management

By Chuck Losinski
Studies show that the amount of data stored worldwide will grow by 4,300% within 7 years. 80% of that growth is on enterprise servers like your IBM i. If you want to be prepared to manage that kind of big data, watch this webinar!
Automation
Article
Article

Robot Best Practices

By Tom Huntington on Mon, 06/27/2016
Wondering about best practices for automating your IBM i processes with Robot systems management solutions? Take a look at this list and get off to a good start.
Automation
Monitoring
Article
Article

Is the i Ready for the Three Vs of Big Data?

By Tom Huntington on Mon, 06/27/2016
The three Vs of big data are volume, velocity, and variety, but in order derive value from big data, IT departments need tools to store massive amounts of data (volume) and make sure it is always available for quick analysis (velocity).
Automation