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The future of data services delivery and management starts here
1. The future of data services
delivery and management
starts here
The use of IBM PureApplication System and IBM
PureData System for Transactions provides a superior
approach to meeting today’s changing data workload needs
for both cloud and traditional environments
2. 2 The future of data services delivery and management starts here
Contents Introduction
Organizations must innovate and grow, or risk stagnating and
2 Introduction
seeing their market share erode. However, as organizations
2 IBM systems provide a rapid, flexible data expand, they create more and more data to manage. If an
services solution organization is unable to access this data, it often can’t conduct
business. And since the pace of the market is only increasing,
3 Patterns of expertise simplify the delivery of data services
speed of database deployment is critical. Another imperative is
4 Businesses can combine systems for maximum benefit to control the costs of adding and managing new data services
as the number of applications and amount of data increase.
5 Spreading work across clusters provides higher
data availability
Adding to this challenge, the nature of today’s business
5 Managing data across storage tiers provides applications means data services must accommodate a variety
higher performance of different usage scenarios. Organizations require quick-to-
deploy databases that can be tailored to their diverse workloads.
5 Built-in data management expertise reduces
administration costs
To address these challenges, IBM offers database-as-a-service
5 Gaining the benefits using data management best-practices expertise built into
IBM PureApplication System and IBM PureData System. An
6 Delivering a competitive edge
organization can simply select its specific data requirements,
and the IBM technology then builds all of the underlying
topology to meet those requirements. The system creates
When today’s businesses succeed, they can quickly outstrip the exactly the database required for the organization’s applications
capabilities of their existing data systems. Companies that have and quickly deploys the database in the environment best
a rapidly expanding user base and are continually developing suited to the organization’s needs.
new applications can no longer afford to wait weeks before new
data services are provided. IBM systems provide a rapid, flexible data
services solution
Data workloads are also rapidly changing and evolving. Today’s IBM PureApplication System and IBM PureData System
enterprises have many different types of applications, with are designed to provide a fast, flexible and cost-effective data
different usage patterns, all constantly accessing data. As a services–based solution to meet an organization’s growing
result, data services need to be more robust and more scalable. business requirements. For applications that require standard
levels of service, IBM PureApplication System is a highly
IBM® PureApplication System™ and IBM PureData™ efficient platform for deployment. When applications demand
System for Transactions are designed to meet these needs. This higher levels of scalability, availability and performance, an
paper shows how the latest technology and expertise built into organization can specify this requirement in the database
these systems gives businesses an innovative new approach for pattern and the system will automatically deploy the database
rapidly creating and managing highly scalable data services, to IBM PureData System to meet those needs. Used together,
without the complexity of traditional approaches. IBM PureApplication System and IBM PureData System allow
organizations to easily and dynamically increase performance
and scale their solutions.
3. IBM PureSystems 3
IBM PureApplication System is a complete platform system Alternatively, consider a financial services company that
that provides hardware and middleware. Organizations is planning to expand its offerings to Asian markets. Once
can drop applications into the system’s pre-configured the company reaches across the globe, 24-hour continuous
middleware engine that includes an IBM DB2® database availability of its offerings will be mandatory. How will the
and an IBM WebSphere® Application Server. The multiple company’s data systems deal with the dramatic increase in
hardware and software components dynamically adjust to online business that will follow?
demand spikes and reallocate system resources automatically.
IBM PureData System is a ready-to-run database platform Most organizations have similarly demanding goals and
that enables IT departments to easily scale highly available cannot afford downtime for system upgrades or maintenance.
databases and manage increasingly data-intensive workloads These organizations need to avoid incurring the additional
using advanced software capabilities pre-built into the system. data center costs of a large number of individual systems
to support their new requirements. They want to scale
Also provided as part of the systems are multiple application vertically by making their systems larger and more powerful
and database patterns for optimally deploying and managing to handle greater transaction volumes. Plus, they want to
applications and resources in virtual and cloud environments. scale horizontally by acquiring more nodes for availability and
These patterns of expertise—consisting of proven best continuity requirements.
practices and expertise for complex tasks learned from decades
of engagements—are captured, lab-tested, optimized and built With IBM PureData System and IBM PureApplication
into the system. The database-as-a-service patterns provide System, organizations can meet these goals quickly and
speed and agility for deploying new databases, elastically efficiently without requiring extensive staff expertise. Using
growing those databases, and managing the availability and built-in patterns of expertise, the systems can automatically
reliability of data services. provision the required database instances and database-as-
a-service cloud environments based on business objectives
Patterns of expertise simplify the delivery selected by the organization. The result: flexible, scalable data
of data services services that support business success.
To illustrate how the systems work, consider the example of a
retail business that has introduced a new e-commerce mobile
application. Assuming the improved features and design
of the application make it more responsive to customer
demands, it may become very popular and lead to a massive
increase in data usage. The business will need the ability to
dynamically scale performance and size without changing the
application to keep up with demand.
4. 4 The future of data services delivery and management starts here
Businesses can combine systems for high performance. The database pattern automatically creates,
maximum benefit configures and deploys databases optimized for transactional or
Growing organizations can maximize efficiency by starting data mart workloads.
with IBM PureApplication System and adding IBM PureData
System as the demands of the business increase. The database Organizations can use IBM PureApplication System as the
functionality in IBM PureApplication System will then work in solution front end and IBM PureData System for the back
concert with the more powerful capabilities of IBM PureData end. IBM PureApplication System provides a high-availability
System. For example, an organization can benefit from both the (HA) proxy server, application server and caching server for
management capabilities of IBM PureApplication System and applications deployed on the combined platform, while IBM
the clustering capabilities built into IBM PureData System. PureData System provides highly available database server and
storage resources.
Combining IBM PureApplication System and IBM PureData
System enables simplified, one-step deployment across the An organization can use IBM PureApplication System to run
systems (Figure 1). The selectable deployment patterns include the web tier, scaling it up or down as customer demands and
predefined configurations that streamline database instance response times change. Sitting behind it, IBM PureData
setup and operating system tuning. Administrators can deploy System can be used to run highly scalable, robust databases to
both a database instance and a database in minutes using support all of the applications. New databases can be deployed
patterns. A topology pattern automatically creates, configures to IBM PureData System automatically from IBM
and deploys a database system with built-in redundancy and PureApplication System.
IBM PureApplication
System
HA proxy server
HA proxy server
Application server
Caching server
Software Application
Deploy server
application
Caching Database
server
Database
IBM PureData System
Figure 1: Simplified deployment across IBM PureApplication and IBM PureData Systems.
5. IBM PureSystems 5
Spreading work across clusters provides Built-in data management expertise
higher data availability reduces administration costs
Adding IBM PureData System offers several advanced Tuning data systems to meet performance requirements is
capabilities. For example, software preinstalled in IBM PureData an ongoing process that traditionally requires a great deal
System provides a built-in database clustering capability to spread of effort and expertise. IBM PureApplication System and
work across multiple nodes for high availability and thoughput. IBM PureData System are both pre-configured to support
The nodes act as a single database system with storage shared high server performance based on the patterns selected by
across all clusters. Deployment, management and monitoring of the organization. IBM PureData System also helps simplify
database clusters are automatic, with no database clustering skills performance management through automatic functions such
required to supervise the system. as resource management, load-balancing data access requests
and selecting the most efficient data access plan.
This clustering capability offers multiple advantages compared
to traditional database systems that run on a single node. The In addition, IBM PureApplication System and IBM PureData
system supports fast, seamless failover—if one node fails, work System ship with dual components to handle system failures and
is automatically and transparently directed to other nodes, and support continuous uptime. Redundancies are built into the
the system automatically recovers and restarts the failed physical system for networking, switches and system management.
engine. Automatic workload balancing across the multiple
nodes in a cluster helps boost throughput for optimum Gaining the benefits
performance. Higher utilization is provided through shared For companies seeing online demand grow rapidly, data
resource management and can help lower costs. services on IBM PureApplication System and IBM PureData
System offer multiple benefits. As the company attracts new
Managing data across storage tiers users and requests, databases can scale rapidly in real time to
provides higher performance meet those demands. With patterns to streamline database
The virtualized storage in IBM PureData System is designed deployments for the application, data services can be delivered
with built-in, automated tiering powered by IBM Easy Tier® faster and easier.
technology. By automatically managing data placement across
tiers of storage based on frequency of access, the system These systems provide an excellent vehicle for database server
delivers consistently higher performance even as workloads consolidation. The company no longer has to worry about
and resources change. managing individual servers or other hardware. By overseeing
systems rather than their many parts, the company’s database
The system automatically manages hot, warm and cold data experts are freed for more innovative work. At the same time,
without sacrificing data accessibility. Active (hot) data is placed since the new applications have proper database support,
on high-performance, high-speed disks. Less-frequently customers can enjoy better service without increasing the
accessed (warm and cold) data is moved to less-costly, high- company’s costs each time demand grows.
capacity drives. As cold data transitions to the lower-tier
storage, more upper-tier space is available to enable fast access
to critical data when needed. The system also automatically
compresses data to efficiently use all available storage.