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As the IBM i expert at your organization, you know that the data that drives important business decisions is scattered across your IBM i and other platforms. But many IBM i shops struggle to find a way to consolidate...
Executives, business users, and IT teams all need insight into key information to make smart business decisions and keep IT operations running smoothly. Most IT departments are responsible for these data requests but...
Accessing, analyzing, and reporting on your IBM i and remote databases like Excel can be quicker or easier than with Sequel.
Sequel software makes your transition to modern data access and analysis from Query/400 simple. Watch this webinar to see how.
Your IT team is asked to provide IBM i data to people from all over the organization. Upper management wants big picture stats to see how your organization is doing with key performance indicators. Operational users...
You don't have to move your data off of IBM i to modernize your queries and give users real-time information in a modern environment. Sequel can help.
Dashboards are everywhere these days. But when you’re working with data from IBM i, building dashboards seems like an impossible challenge...
In this paper we present an introductory analysis of throughput scalability for update intensive workloads (such as measured by the TPC-C or TPC-W benchmarks) and how that scaling is limited by serialization effects in the software-hardware combination that comprises any platform.
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.
Dissect the psychology of IT managers that prefer to let a project fail as long as it fails on time in this provocative article by Dr. Gunther.
This article explains how correlated or bunched requests can impact capacity planning results.