Case Study
Telecom Company Meets Strict Service Requirements & Prevents Major Service Failure
Organization Description: Voice and data services provider focusing on serving customers in rural areas and small to mid-sized cities. The company has greater than three million customers in 22 states and annual revenues of $2.4 billion.
Business Value of Vityl Capacity Management (formerly TeamQuest): Client uses Vityl to identify bottlenecks in applications and to eliminate unnecessary hardware...
Case Study
Selling the Capacity Upgrade
Company Overview: This financial technology provider delivers banking and payments technologies to more than 8,000 financial services firms and businesses worldwide.
Business Value of Vityl Capacity Management (formerly TeamQuest): The company’s capacity planners use carefully chosen workload definitions in conjunction with predictive modeling to show their management the business rationale for...
Case Study
Legislature Uses Capacity Planning Software to Optimize IT Services
Business Value of Vityl Capacity Management (formerly TeamQuest): This legislative body uses Vityl Capacity Management to find and identify performance problems, plan for the future, assist in time management and be more proactive.
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Guide
How to Manage IT Resource Consumption
At an application level with Vityl Capacity Management
In this guide, John Miecielica of Metavante, provides a step-by-step example showing how he uses Vityl Capacity Management to analyze IT resource consumption at an application level. This key capability is especially important in today’s environments where multiple applications run on a server or multiple servers might be required to...
Guide
Commercial Clusters and Scalability
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.
Guide
UNIX Load Average Part 1: How It Works
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.
Guide
UNIX Load Average Part 2: Not Your Average Average
This is the second in a two part-series where we explore the use of UNIX load averages in performance analysis and capacity planning.
Guide
UNIX Load Average: Reweighed
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.
Guide
How to Get Unbelievable Load Test Results
This article is about delusions that arise from incorrect interpretation of load test measurements.
Guide
Capacity Calculations: Handle with Care
This paper discusses avoiding calculation results that are more precise than is justified by precision of corresponding measurement input data.
Guide
Of Buses and Bunching: Strangeness in the Queue
This article explains how correlated or bunched requests can impact capacity planning results.
Guide
How to Measure an Elephant
This article explains how correlated or bunched requests can impact capacity planning results.
Guide
Evaluating Scalability Parameters: A Fitting End
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.
Guide
The “LA Triplets” Quiz
This is a little quiz to test your understanding of the triplet of numbers that appear in the UNIX® load average (LA) performance metric.