Druva Data Protection for VMware Cloud on AWS

Solution Brief


On-demand cloud compute and storage services have grown steadily as companies continue their digital transformation journey. As businesses look to reduce costs, increase agility and improve the efficiency of their data center operations, they are selectively moving workloads to the cloud. The result has been the creation of a new business model known as hybrid cloud.

The goal of the hybrid cloud is to bring portability and consistent operations to on-premises and cloud environments. VMware Cloud on AWS is a joint development effort between AWS and VMware to deliver such an integrated cloud solution.

Learn how, with VMware Cloud on AWS, customers can:

  •   Reduce operational overhead and get to the cloud faster by leveraging existing
        skills, tools, and processes familiar to IT personnel
  •   Align costs to business needs with flexible consumption options and
        investment protection
  •   Get a single inventory view of both on-premises and VMware Cloud on AWS
        resources using vCenter server technology

View Now

You need to simplify remote office backup – and here’s why

White Paper


Cloud backup has a compelling value proposition for every enterprise looking to protect their data, and especially for remote and branch offices (ROBOs). Companies can reduce data protection costs by over 50%, minimize downtime, and enable central IT to manage backup and recovery remotely. Cloud backup allows companies to better comply with data privacy regulations and provides protection against data loss due to ransomware attacks.

Read this white paper to learn:

  •   Relevant business cases in which distributed data risk is especially high
  •   Why cloud-based data protection is ideal for ROBO
  •   Best practices for implementing cloud backup and recovery for ROBO
  •   How an effective cloud-based data protection solution looks like

View Now

What is cloud-based backup and recovery?

White Paper


Today’s companies struggle with the challenges of protecting data cost-effectively. Cloud-based backup and recovery can help your company – no matter how large or small – achieve reliable, scalable backup at a much lower cost compared to expensive on-premises protection.

Find out how your company can benefit from cloud-based backup and recovery. Read this white paper to learn:

  •   The difference between “backup and recovery” and “disaster recovery”
  •   Why cloud-based backup and recovery costs much less than on-premises
        backup
  •   How easy it is for your end-users to access cloud-based data storage
  •   Why cloud-based backup is ideal for remote-office/branch-office storage

View Now

Reduce costs with cloud-based VMware data protection

eBook


IDC estimates data is growing at a 61% compound annual growth rate — and with this influx of data, your organization might struggle to maintain data security and facilitate growth. That’s why you should consider a third-party data protection solution that is certified for VMware on-premises and cloud environments.

Read how VMware data protection in the cloud provides:

  •   Radically lower TCO, with up to 50% costs savings
  •   An infrastructure that is hosted completely offsite (no hardware, software,
        maintenance, or real estate)
  •   Fast response times in the case of failover for disaster recovery
  •   Centralized global management, visibility, and monitoring

View Now

Microsoft SQL Server on RedHat Enterprise Linux

Microsoft SQL Server on Red Hat® Enterprise Linux® offers businesses additional flexibility, superior performance, enhanced security, and ultra-high availability for larger workloads. This combination provides a scalable foundation with a consistent application experience, whether deployed across bare-metal, virtual machine, container, or cloud environments.

View Now

What to Consider When Protecting Healthcare Data

Data protection is critical in healthcare. Hospitals, clinics, urgent care centers, medical offices, insurance providers, billing services providers, and other organizations face a dual responsibility: first and foremost, they must safeguard the privacy, identity, security, and finances of their patients. No less important, they must also protect their own organization from costly breaches, regulatory fines, and damage to their business, reputation, and patient relationships.

Seeking to secure the sensitive data they hold and work with, healthcare organizations increasingly use encryption to protect data in transit. While effective as far as it goes, this approach can lead to a false sense of security—as organizations fail to realize that encryption can also be used to hide attacks. Rendered invisible to their own security devices, malware and viruses can then pass easily into the organization’s environment alongside other types of encrypted traffic.

Recognizing this problem, some organizations turn to decryption as a way to effectively inspect all the traffic leaving and entering their environment. In practice, though, decryption is typically implemented in a highly inefficient, ad hoc manner that quickly raises issues with cost, scalability, and performance. The organization faces a hard choice between security and efficiency.

In this ebook, we’ll talk about the security threats facing healthcare organizations, the issues with traditional approaches to encryption and decryption, and a better way to protect data privacy without impairing security.

View Now

Eliminate Friction in Design Collaboration

Traditional tools of the engineering trade don’t accommodate today’s need for cross-team collaboration. From using different mechanical computer-aided design (MCAD) applications to working on projects with stakeholders located all over the world, engineers have to overcome various obstacles to get the job done. Learn how technology can help streamline communications and collaboration, ultimately setting up your team for success.

Get Whitepaper

Cosine Additive

When he co-founded Cosine Additive Inc. to design a 3D printer that could be economically competitive with traditional manufacturing methods, CTO Andrew McCalip had one design platform in mind. “I’ve always preferred SOLIDWORKS because it’s the most modern package and supports an intuitive, common-sense approach to design,” he says. Learn more. Read the case study.

View Now

The How-To Guide for Changing CAD Tools

When competing in today’s global economy, investments in the design process can help companies quickly develop high-quality, innovative products more economically—helping them stand out from the competition. This white paper explores what is driving companies to change CAD tools and what successful companies are looking for when purchasing a new CAD tool.

Get Whitepaper

ANALYST REPORT: The rise of the Enterprise Intelligence Platform

The demand to turn raw data into business insight for today’s companies is now higher than ever. So it’s no surprise that there’s significant interest by data-driven companies for new products and services in a single platform.

An Enterprise Intelligence Platform combines what was traditionally three separate product categories for data and analytics into one seamless experience: data integration, data storage, and processing and analytics designed to meet the needs of both data consumers and data operators. According to 451 Research, 78% of data-driven companies would consider adopting an Enterprise Intelligence Platform.

    Read the report to:
  • Understand the business efficiencies of an Enterprise Intelligence platform
  • Learn about the major market players who are ahead of the trend with the development of their own portfolio of products

View Now

Ebook: Fighting financial crime – Top 5 data and analytics approaches

Financial services institutions lost over $1.45 trillion in combined revenue to financial crimes in 2018, and this is increasing ever rapidly. Today’s leading financial institutions are increasingly relying on data, analytics, machine learning, and AI technologies to capitalize on the information needed to combat financial crime—converting raw data into actionable insights. Here are the top five approaches that have the greatest impact when creating next-generation approaches to fighting financial crime.

View Now

Ebook: Connected manufacturing – Top 5 data and analytics use cases

Analytics, machine learning, and artificial intelligence are reshaping manufacturing. The most innovative manufacturing companies are applying industrial IoT concepts, coupled with data and analytics, to transform their product development, supply chains, and manufacturing operations. Here are the top five areas where manufacturers are using the power of analytics and machine learning to drive business success.

View Now

Harnessing Data Lifecycle Webinar

Customer data and analytics can take many forms, from descriptive analytics on operational data to inferring customer sentiment based on real-time social media feeds. With a variety of analytical tools for streaming, operational and unstructured data, businesses are asking more questions of more data. Yet, deriving and operationalizing the best answers effectively can be a matter of connecting the dots across different analytical workflows and the different teams, from BI analysts to data scientists, that use them.

    In this webinar, we’ll explain how integrated analytics experiences on Cloudera Data Platform (CDP ) can help you:
  • Connect the dots to efficiently deliver the right data and analytical outputs to the right systems at the right time, to operationalize insight effectively
  • Quickly stand up a data mart from multiple data sources and analytical workloads
  • Analyze data and then use machine learning for predictive analytics and streaming natural language processing
  • Enable a richer, data-driven business understanding of customer experience, what’s driving it, and what to do about it, in real-time.

The webinar includes a live demo and Q&A with our expert panel. We hope to see you there!

View Now

Solution brief: Logging Modernization

Logging Modernization is a holistic approach that unlocks the value of machine generated data by using a comprehensive streaming platform. This platform should include everything from real-time data ingestion, edge processing, transformation, and routing through to descriptive, prescriptive and predictive analytics. All of which should be securely shared across on- premises, public, or hybrid cloud environments.

View Now