Resource Library

Times are changing. Attacks are becoming much more sophisticated and hackers are exploiting human vulnerabilities to gain access to enterprise networks and private information. Employees and end users want to help protect your company's sensitive data, we just need to motivate them as to why they should care. By educating your employees on security best practices and current human vulnerabilities, you can take a step forward to ensuring you're not a part of the many organizations that are breached.

Amazon Redshift opens up enterprise data warehouse (EDW) capabilities to even the smallest of businesses, yet its costs, security, and flexibility also make it appealing to the largest of enterprises. It allows companies to easily and conveniently scale their EDW needs both up and down, and as a managed service, it allows your team to offload all of the "undifferentiated heavy lifting" of building and maintaining an EDW. Its raw storage costs are about one-fifth to one-tenth of traditional in-house EDW, and AWS has taken great care to ensure its performance is still competitive with those in-house solutions. Before deciding to use Amazon Redshift, however, it's important to understand what it is and is not.

This white paper explores the native AWS storage solutions, enabling you to deliver applications in the cloud in the most efficient, cost-effective, and secure manner. In terms of storage, it's important to understand the characteristics of each AWS storage option so that you can implement one or more AWS storage services to meet your needs. Often, you'll find that utilizing multiple storage options together will give you the best outcomes.

You are a problem. You are a risk to your employer. The actions you take and the activities you perform at work, online, and even in your personal life put your employer at risk. You need to know how you are a security risk to the organization and what you can do to reduce or eliminate those risks. In this paper, I discuss ten common risky behaviors that typical workers engage in and what you can do to avoid being the weakest link in your company.

Increased interconnectivity via machine-to-machine (M2M) communications, the IoE, and smart systems holds profound implications for how business trends continue to evolve. In terms of M2M growth, key developments in security will be essential, from the design and manufacture of devices to more robust cloud security and ensuring the integrity of wireless data transmissions. Without these safeguards in place, organizations and industries that rely on M2M will continue to place themselves at risk.

The National Institute of Standards and Technology (NIST) created a cloud definition that has been well-accepted across the IT industry. NIST was mandated to assist government agencies to adopt cloud computing for their IT operations. As part of their mandate, NIST created multiple working groups to define cloud computing, its architecture, and requirements. In this paper we explore the center core of NIST's cloud definition.

Many people believe that cloud computing requires server (or desktop) virtualization. But does it? We will look at using virtualization without cloud computing, cloud computing without virtualization, and then look at using both together. In each case, we'll look at where each deployment might be most useful, some use cases for it and some limitations.

After a review of Software-Defined Networking (SDN) and its close cousin Network Functions Virtualization (NFV), this white paper addresses three main deployment scenarios: SDN without deploying cloud computing, cloud computing without deploying SDN, and deploying cloud computing in conjunction with SDN. We'll look at use cases, when the approach makes sense, and any applicable limitations.

Securing corporate information can be a challenge, considering the numerous technologies and platforms that need to be protected. One technology that definitely helps achieve secure data is public key infrastructure (PKI), which enhances the security of data by using advanced access methods and making sure the authenticity of the data flow is preserved.

AWS has introduced Auto Scaling so that you can take advantage of cloud computing without having to incur the costs of adding more personnel or building your own software. You can use Auto Scaling to scale for high availability, to meet increasing system demand, or to control costs by eliminating unneeded capacity. You can also use Auto Scaling to quickly deploy software for massive systems, using testable, scriptable processes to minimize risk and cost of deployment.