Hypervisor-based Replication

Virtualization of the data center has proven to be a true IT game-changer, providing increased flexibility and control in managing production workloads, as well as significantly streamlining the implementation and operational support. Organizations continue to expand their virtualization initiatives to private, public and hybrid cloud environments.

To more fully realize the benefits of virtualization and get the most out of their investments in the technology, organizations need to optimize all IT processes and activities for their virtual environment. This includes security, compliance, and Business Continuity/Disaster Recovery (BC/DR). Of the three, BC/DR is perhaps the most difficult because to date there have been no virtual-ready remote replication methods that organizations could adopt. That is all about to change.

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Cloud Continuity Platform — Enabling the Hybrid Cloud

Today’s IT demands an agile, flexible environment with the ability to have any application leverage any cloud with any hypervisor. For example, a production workload should be able to reside in a VMware based private cloud for performance, while leveraging Amazon for cost effective backup and a Hyper-V based managed service provider for high SLA disaster recovery. Enterprises want the capability to expand their available choices in terms of meeting the needs of the business. IT provides the robust foundation to ensure end-user productivity across disciplines, and they need to be able to react fast.
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BC/DR in the Cloud Era: Options and Challenges

In this paper, we will discuss the different types of Cloud BC/DR solutions and the challenges faced by both customers and Cloud Service Providers (CSP) prior to Zerto Virtual Replication (ZVR). Then we will discuss how ZVR addresses these challenges and improves upon many of the traditional solutions.

Zerto performed a similar exercise when creating Zerto Virtual Replication. We first assessed the state of the industry, and then developed a solution to not only meet, but also exceed the required capabilities of both the consumer and the provider for cloud-based disaster recovery.

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Security Analytics: A Required Escalation in Cyber Defense

In this white paper, noted industry analyst Richard Stiennon examines the emerging requirement in the ongoing arms race with threat actors. Despite years of investment in multiple layers of security defenses, every organization is still wide open to targeted attacks. It is practically impossible to stop all possible attacks. Even next-generation firewalls, complete alerting and logging collected in a SIEM, and universal patch management and vulnerability discovery has proven to be ineffective against threat actors who are motivated, skilled and determined.

This paper answers the critical questions about security analytics and explains why it is one of the fastest growing product categories in security.
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Mythbusting the Beliefs of DDoS Protection

Today’s DDoS attacks are an easy way to interrupt businesses. From holding a website hostage for a ransom, to blocking access to an application to make a political statement, or simply deflecting attention while other threat vectors steal information, DDoS is a growing concern for enterprises. Yet even in today’s dynamic threat landscape, many enterprises still hold the belief that a dedicated DDoS protection solution is not important when their existing security solution may protect them 80 percent of the time. Others believe that what they adopted two years ago—let alone five years ago—still works today. In these instances, enterprises are gambling with their network.

It’s time to debunk some outmoded myths. There are five common mistakes that enterprises make when addressing DDoS. This white paper will shed some light on these failed practices, and provide insight into why they do not work.
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Deep Learning in the Real World

The International Data Corporation estimates that by 2020, 40 zettabytes of data will be generated every day. Compare that to the current 2.5 quintillion bytes per day and it's easy to understand why businesses need a smarter way to wrangle exponentially growing data. What if you could automatically consume and process data such as tweets, chats, emails and more and integrate them into your data applications? Deep learning makes it easier than ever before.
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API Mashup Guide

Amplify the power of one cognitive API by combining it with another. Check out this Mashup Guide for examples syndicated by Watson developers and engineers. Get inspired by these ideas to create your own mashup.
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The Rise of PhD APIs

APIs are no longer just a development tool. In this white paper from ProgrammableWeb, you can learn more about the rise of PhD APIs and how they harbor game-changing potential for organizations and business models.
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Sentiment Analysis: A Hybrid Approach

Today, businesses want to know what buyers say about their brand and how they feel about their products. However, with all of the "noise" filling our email, social and other communication channels, listening to customers has become a difficult task. In this guide to sentiment analysis, you'll learn how a machine learning-based approach can provide customer insight on a massive scale and ensure that you don't miss a single conversation.
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Winning the Endpoint Security Battle: Five Key Factors

In a world where mobile endpoints are increasingly putting pressure on security systems, there are some best practices organizations can embrace to help ensure compliance with governance, regulatory and security mandates.

This Battlecard summarizes the challenges at hand, discusses some timely research that looks at the cost of breaches, and lays out the five key factors that security-conscious businesses must keep top of mind.

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SAP Solutions—High Availability on SUSE® Linux Enterprise Server for SAP Applications

Modern SAP systems, running critical workloads, have to meet the highest standards for availability of their SAP services. SAP already comes with some basic redundancy mechanisms out of the box. However, for a full high availability, SAP relies on third-party, high availability cluster solutions, that are designed to cover all components in the SAP solution stack that could fail and cause an interruption of the SAP services. The protected components include for example the SAP NetWeaver software, SAP databases, the network, server hardware and the underlying storage systems.
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Migrating SAP® Solutions to Linux? Three Steps to Success

Every day, SAP® solution administrators all over the world have an opportunity to make truly transformational decisions. One of those is whether to migrate SAP applications from proprietary RISC/UNIX platforms to Linux running on standards-based servers. Such a move has the potential to dramatically reduce the total cost of ownership (TCO) of your SAP infrastructure. But how can you ensure that this very technical and potentially risky operation goes smoothly and successfully?

Read on for three simple steps to ensure success:

• Understand your Linux options.
• Build a business case for migration.
• Select a certified SAP migration partner.

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SAP HANA System Replication on SLES for SAP Applications

“SAP customers invest in SAP HANA” is the conclusion reached by a recent market study carried out by Pierre Audoin Consultants (PAC). In Germany alone, half of the companies expect SAP HANA to become the dominant database platform in the SAP environment. In many cases, the “SAP Business Suite® powered by SAP HANA” scenario is already being discussed in concrete terms.

Naturally, SUSE is also accommodating this development by providing SUSE Linux Enterprise Server for SAP Applications – the recommended and supported operating system for SAP HANA. In close collaboration with SAP and hardware partners, therefore, SUSE will provide two resource agents for customers to ensure the high availability of SAP HANA system replications.

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SAP HANA and SUSE® Linux Enterprise Server

SAP HANA is by far the most in-demand in-memory platform on the market. Across all industries and regions, users benefit from its accelerated business processes, operations, decisions and simplified data landscapes to reduce costs.

A study by Forrester Research on behalf of SAP showed that customers who introduce SAP HANA can save over 70 percent on software investments and 15 percent on hardware costs compared with traditional databases. At the same time, SAP HANA is evolving into a leading development and application platform.

Read more to learn how.

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