BEZVision Whitepapers
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BEZVision - An InDetail paper by Bloor Research
Now, database performance management tools are available from various suppliers and a number of these extend beyond the database per se. However, BEZVision is different from all of these and complements rather than competes with them. What conventional performance management tools help you to do is to
identify bottlenecks in your existing (extended) database environment so that you create or drop indexes, improve SQL access paths and so on. However, these are purely reactive. What BEZVision offers is the ability to forecast what will happen to performance if, for example, you add another server or implement a new application; and it will make recommendations about tuning on the basis of this forecast. Moreover, BEZVision will also predict the effect of implementing its recommendations so that you can try out different scenarios. In other words, BEZVision is a proactive tool that that has a very important role to play in capacity and future planning, and in avoiding future performance issues.
To put this another way: BEZVision is used to help you
This whitepaper provides a detailed overview of BEZVision for proactively managing database and application performance in a complex multi-tier environment.
Proactively Managing Service Delivery in a Multi-Tier Application Environment
Never has it been more difficult for an IT organization to manage resource utilization, performance, andservice delivery. Never has it been more difficult to meet the expectation of delivering uninterruptedservice while at the same time becoming more proactive and supporting the needs of the business. Clearly, IT needs help as it strives to transform itself into a proactive and visionary organization that supports the business.
This whitepaper describes an approach for proactively managing database and application performance in a complex multi-tier environment.
Proactive IT Management - Eliminating Mean Time To Surprise (Frost & Sullivan)
Two competencies are emerging as key to supporting IT departments in their ability to meet business needs in a disciplined way. These are 1) the ability to view IT data through a business lens – “connecting the dots” by mapping sometimes massive amounts of IT performance data to its impact on specific business needs and 2) the ability to predict future business needs and to appropriately evaluate and deploy IT resources to meet those needs – effectively achieving “just in time” – and thereby most cost-effective – deployment decisions. In addition, combining IT management into a systematic strategic system – or proactive Business Technology platform, avoids the management inefficiencies that come from independent, stovepiped implementations of these systems.
Challenges of Workload Characterization in Parallel Processing Environments
Note:- This paper was co-authored by globally recognized computer performance expert, Dr. Jeffrey P. Buzen and BEZ founder and Chief Technical Officer, Dr. Boris E. Zibitsker.
Abstract: SQL response time in parallel processing environments depends on several factors that do not arise in conventional systems. The first is intra-SQL parallelism: dividing the processing of a single SQL query into multiple subtasks that can be processed concurrently within a DBMS. As discussed in this paper, Oracle 10g, DB2 UDB ESE and Teradata all utilize different mechanisms to regulate intra-SQL parallelism, leading to special workload characterization problems in each case. SQL response time is also sensitive to usage patterns for rows, columns and individual data elements within a database. Data usage patterns play a critical role in determining the success or failure of certain performance optimization strategies such as constructing materialized views or creating additional indices. Workload characterization issues associated with SQL data usage patterns are also examined in this paper, with emphasis on data sources, analysis procedures, and applications.
Optimize Resources to meet Business Goals (Ptak, Noel & Associates)
Abstract: The introduction of dynamic operating environments through the application of Utility
computing technologies poses special problems in assuring optimal allocation of resources to
assure the consistent reliable delivery of business services. IT services directly link to the
achievement of business goals. The complexity of the relationships, interactions, and
interdependencies between resources and operations required to deliver services requires
automated management tools. Dynamically changing resource allocations place unique
demands on planning and management in order to balance current demands with the
achievement of business performance goals. This paper provides a discussion about the unique
challenges of managing the allocation of resources in a dynamic changing operating
environment. BEZVision from BEZ Systems provides an example of a solution designed to
address these challenges.
Using A Performance Management Data Base for Proactive Performance Management
Abstract: End-to-end performance management has been a goal for years but attaining that goal has been rather elusive for various reasons: today's information systems are more complicated, more modular, and more challenging than ever to manage. Furthermore, end-to-end performance management has far more utility when applied to tuning efforts or immediate problem resolution, but is rather myopic when trying to understand and manage service delivery to the actual mix of business and other workloads. In order to effectively manage today's highly distributed application environment, IT managers need a single unified view of both the static elements of the infrastructure (e.g. a Configuration Management Database or CMDB) and of the dynamic interactions between and among the various components while applications and users are competing for service (e.g. a Performance Management Database or PMDB). When combined, IT management has a unified and consolidated view of application management with an eye toward maximizing service delivery to specific high-priority business workloads and optimizing application performance for all system-wide workloads.