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Article

IBM on IASP for PowerHA Implementations

You’ve heard about IASP technology many times over the years, but you’ve been ignoring it, haven’t you? Steve Finnes confirms that it’s past time we “get to know it, understand it, and not be afraid of it.”
Datasheet

HA-MX Monitor

HA-MX Monitor ensures a maximum return on your investment for your MIMIX solution and helps eliminate lost income as a result of downtime.
Datasheet

Robot Space

Bring Automation and Analysis to Your IBM i Disk Space Administration. Schedule a demo of Robot Space today.
Datasheet

Powertech Encryption for IBM i

Powertech Encryption for IBM i protects sensitive data using strong encryption, tokenization, integrated key management and auditing. Schedule a demo today.
Datasheet

Powertech Authority Broker for IBM i

Satisfy your auditor requirements with reports that provide a complete audit trail of privileged user activity with Powertech Authority Broker for IBM i. Schedule a demo today.
Datasheet

Powertech Encryption for IBM i Compliance Datasheet

Satisfy Stringent Requirements for Encryption and Key Management Powertech Encryption for IBM i will help your organization meet compliance mandates through its integrated key management solution, and strong IBM i field encryption and backup encryption features. Powertech Encryption for IBM i utilizes AES and TDES encryption algorithms, both of which follow standard (non-proprietary)...
Article

The Modern Alternative to Authority Adoption

There are several considerations with authority adoption. Each is important but can usually be accommodated. But what is the effect if the program owner has the same or less privileges than the user that called the program?
Article

Robot and FlashCopy

Last month, Chuck Stupca (retired IBMer) and Chuck Losinski (Fortra) presented a webinar discussing FlashCopy for IBM i. Based on the attendance, it looks like this is a very important topic for many of you so I wanted to explain how FlashCopy ties to Robot products.
Article

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

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).