Virtually every organization understands that its successful operation depends on the continuous
availability of its applications. Most companies rely on internal applications-ranging from enterprise resource planning to payroll systems-to keep the wheels of their enterprise turning. They also depend on external-facing applications for everything from selling products to their customers to automating the supply chain with suppliers and partners. The failure of any of
these mission-critical applications could be catastrophic to a business.
Application downtime is just one of many costs associated with a fragmented application performance management (APM) strategy. Learn the 5 steps to simplify Application Performance Management through this infographic.
Self-service analytics implies that users design and develop their own reports and do their own data analysis with minimal support by IT. Most recently, due to the availability of tools, such as those from Qlik, Spotfire, and Tableau, self-service analytics has become immensely popular. Besides powerful analytical and visualization capabilities, they all support functionality for accessing and integrating data sources. With respect to this aspect of data integration four phases can be identified in the relatively short history of self-service analytics. This whitepaper describes these four phases in detail and shows how the tools Cisco Data Preparation (CDP) and Cisco Information Server (CIS) for data virtualization can strengthen and enrich the self-service data integration capabilities of tools for reporting and analytics.
As demands on the data center increase, IT and facilities departments need to be able to increase and sustain high availability, maximize efficiency and minimize costs. Data Center Infrastructure Management (DCIM) provides an integrated platform for monitoring and measuring consumption, capacity and performance of both IT and facilities resources in the data center.
This whitepaper looks at why companies choose Riak
over a relational database. We focus specifically on
availability, scalability, and the key/value data model. Then
we analyze the decision points that should be considered
when choosing a non-relational solution and review data
modeling, querying, and consistency guarantees. Finally, we
end with simple patterns for building common applications
in Riak using its key/value design, dealing with data conflicts
that emerge in an eventually consistent system, and discuss
Today’s consumers expect instant access to communications services whether they’re in the office, at home, or on the road. With data speeds increasing and international roaming costs decreasing, data usage is rapidly growing. Telecommunications Service Providers (TSPs) are under pressure to deliver more services to more people and approach 100% uptime all while lowering prices to consumers.
Traditional relational databases can’t meet the requirements for massive scalability, availability, and fault tolerance that the rapid growth in data usage and rise of big data demands. Read this solution brief to learn how Riak excels at these. Riak is a distributed NoSQL database optimized for big data. Riak meets many of the challenges you may be facing with your own service operations systems.
This white paper demonstrates how companies that have moved their SQL databases to the cloud have overcome past performance and security concerns to increase operational efficiency, improve availability and scalability, reduce costs, gain a faster-time to-market, and achieve a better return on investment.
Download your free white paper today to get a better understanding of the trends driving data center design and management and how you can use them to reduce costs, improve equipment utilization and ensure high availability!
Published By: Riverbed
Published Date: Jan 28, 2014
Forrester benchmark data on current state of application availability and performance within the enterprise. In conducting a survey of 159 IT professionals with direct responsibility for business-critical applications, Forrester found that all enterprises surveyed had fundamental issues while managing the performance of these applications and business services. Read the report to learn the key findings of this study.
Published By: Symantec
Published Date: Jun 10, 2014
This Lab Validation report from ESG provides you with best practices to create an environment that offers you simple unified data protection across physical and virtual landscapes, maximum protection and data availability, and reduced storage needs and operational costs. Find out how Symantec Backup Exec 2014 measures up against best practices in virtual data protection. Download Now.
Published By: Symantec
Published Date: Jul 11, 2014
This Lab Validation report from ESG provides you with best practices to create an environment that offers you simple unified data protection across physical and virtual landscapes, maximum protection and data availability, and reduced storage needs and operational costs. Find out how Symantec Backup Exec 2014 measures up against best practices in virtual data protection.
In this competitive whitepaper, Edison Group provides an independent, third-party perspective and evaluation of HP’s StoreOnce Backup System versus EMC Data Domain. Criteria considered included scalability (including capacity and performance), high availability, architectural approach, pricing, and licensing.
Although modern backup solutions can offer significant recovery agility, backup as an IT process is generally less than “enough” for the data protection goals that IT is being asked to deliver. As IT is embracing snapshots, replication, archiving, and availability mechanisms to enhance business continuity/disaster recovery (BC/DR) preparedness, it is important to realize that there is a better way than piecemealing each component, and then wondering why CapEx and OpEx are so out of line.
Looking beyond storage, HP Converged Infrastructure solutions enable your business to unleash the potential of your data center and reduce risk. Overcome IT sprawl with simplified management and implementation, enhanced performance, improved availability, and the economies of open standards and connectivity. For the business, this means faster time to revenue, increased agility, lesser risk, and lower cost of operation. HP delivers better value of convergence than other vendors do.
Published By: AlienVault
Published Date: Oct 21, 2014
While vulnerability assessments are an essential part of understanding your risk profile, it's simply not realistic to expect to eliminate all vulnerabilities from your environment. So, when your scan produces a long list of vulnerabilities, how do you prioritize which ones to remediate first? By data criticality? CVSS score? Asset value? Patch availability? Without understanding the context of the vulnerable systems on your network, you may waste time checking things off the list without really improving security.
Join AlienVault for this session to learn:
• The pros & cons of different types of vulnerability scans - passive, active, authenticated, unauthenticated
• Vulnerability scores and how to interpret them
• Best practices for prioritizing vulnerability remediation
• How threat intelligence can help you pinpoint the vulnerabilities that matter most
Published By: Riverbed
Published Date: Sep 05, 2014
Storing data in the cloud using a Whitewater™ cloud storage gateway from Riverbed Technology overcomes what is becoming a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. Whitewater eliminates concerns about data security, data transmission speeds over the Internet, and data availability, while
providing great flexibility and a favorable return on investment. Moving data to the cloud replaces the high costs of tape and disk
storage systems with a pay-as-you-go cloud storage tier. This paper makes the business case for cloud storage, outlining where
capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage.
A high percentage of today’s data centers use water-based cooling methods to keep them from becoming the equivalent of a Hopi sweatbox in the desert. When you’re planning a new data center you may want to consider the impact of the weather and water availability on your decision.
This white paper will discuss how big data analytics, coupled with the right facilities and asset management software, can provide next-generation opportunities to improve facilities and asset management processes and reutnrs. It will examine how different organizations successfully use big data generated by their facilities and assets to help increase revenue, power operational efficiency, ensure service availability and mitigate risk. Most importantly, this white paper will reveal how your organization can leverage big data analytics to achieve similar benefits and transform the management of your organization's facilities and assets-and ultimately, your business.
Partners and customers expect instantaneous response and continuous uptime from data systems, but the volume and velocity of data make it difficult to respond with agility. IBM PureData System for Transactions enable businesses to gear up and meet these challenges.
Data workloads are rapidly evolving and changing. Today's enterprises have many different types of applications, with different usage patterns, all constantly accessing data. As a result, data services need to be more robust and scalable. IBM PureApplication System and IBM PureData™ System for Transactions are designed to meet these needs. This paper shows how the latest technology and expertise built into these systems gives businesses an innovative approach to rapidly create and manage highly scalable data services, without the complexity of traditional approaches.
The IBM DB2 pureScale feature is designed to address your current and future business needs for continuous availability. This white paper introduces DB2 pureScale—what it looks like, where it comes from, and how it allows you to scale out your database on a set of servers in an active-active configuration that combines high availability with truly transparent application scaling.
As the amount and importance of corporate data grows, companies of all sizes are finding that they increasingly need to deploy high-availability database solutions to support their business-critical applications.
Emerging technologies such as cloud computing are essential, not only for the consolidation of database applications but also for the storage, availability, security and performance of increasingly complex data warehousing architectures.