The AIX Community Survey, now in its fifth consecutive year, goes in-depth with IT teams to gain a unique perspective into how this platform is being used today and how teams envision using it in the future. Over the years, the respondents of the survey have expanded to include a variety of industries, geographies, and titles within IT. More than 100 IT professionals in North America, EMEA, and APAC participated in this year’s survey, and this input enables all of us to understand the role of AIX with new clarity.

To effectively and rapidly enable and manage complex business processes, organizations must adopt a unified solution that directly integrates process automation with job scheduling.

Enterprise scheduling tools have many advantages over the older technology of client-server scheduling tools.

Skybot Scheduler provides many advantages, including event-driven scheudling and cross-platform capabilities, over UNIX cron job scheduling.

Because there is still a need for recurring application processes to perform activities, there is an increased need for critical back-end computing via workload automation software.

Central monitoring and automatic notification are the keys to successful workload automation.

Consolidating scheduling across multiple applications into an enterprise job scheduler increases productivity and helps the bottom line.

Following a specific plan for automating your enterprise schedule ensures greater success for your implementation.

Cron is a useful tool, but for today’s large, interconnected enterprises it has its limitations. Modern enterprise job scheduling tools offer superior functionality, ease of use, and a more modern, graphical user interface.

It is important to understand the challenges that many companies face with data integration so that the appropriate tool can be used to address them.

In order to make cloud computing highly available and easy to use, there has to be an infrastructure in the background, like enterprise scheduling software.

In this online article Dr. Gunther digs down into the UNIX kernel to find out how load averages (the “LA Triplets”) are calculated and how appropriate they are as capacity planning metrics.

This is the second in a two part-series where we explore the use of UNIX load averages in performance analysis and capacity planning.

This is an unexpected Part 3 to the discussion about the UNIX load average metric answering the question of where the weight factor comes from.

This article is about delusions that arise from incorrect interpretation of load test measurements.

This paper discusses avoiding calculation results that are more precise than is justified by precision of corresponding measurement input data.

This is the final online article concerning the concept of application scalability. Here, you will learn how to determine value of the parameters that control scalability.

This is a little quiz to test your understanding of the triplet of numbers that appear in the UNIX® load average (LA) performance metric.