Resource Library

Accessing cloud-based resources, whether they be IaaS/PaaS/SaaS-based, is very convenient. With a browser and Internet connection, you are up and running. No driving to your work office, no need to log into the corporate network. Just open up your web browser and go. This convenience, however, comes with a security risk. All of your business work is conducted over an insecure communication network. Unlike your office network, where the network link between you and the data center is under corporate control and is physically secure, the cloud access link is over the Internet.

Every second of every day, data is being sent and received. Billions of data packets are processed by your company’s network every day. In fact, you received dozens of packets just to read this article, but the vast majority of us have no idea how this works. People have no clue as to what goes on behind the scenes to ensure data actually gets to the right device.

In this one-hour webinar, AWS consultant and instructor Ryan Dymek, will discuss how to optimize your AWS architecture design.

So you want to be more agile, but is it possible in a waterfall world? The short answer is yes! Waterfall can be combined with principles of agility. The trick is to recognize how agile practices lead to organizational agility. Any organization can become more agile, but there are trade-offs that need to be considered. In this hour-long webinar, instructor and presenter Brian Egan will help you understand how to make agile work within your organization. In it you will learn: Agile best practices Discover how organizations can be more agile Agile vs. Waterfall: Discuss the pros and cons of each Dispense the myth that agile can only be used for software development Watch this webinar today and learn how and why your organization should become more agile! Recommended Agile Project Management courses: Introduction to Agile Agile Project Management Transitioning from Waterfall to Agile PMI Agile Certified Practitioner (PMI-ACP)® Boot Camp

As far as modern architectures go, there are few more complicated than an IoT pipeline. You’ve got to consider an ingestion layer (typically streaming) that may undergo manic load. You’ve got to think of data tagging, storage (probably across multiple engines), archival and access—both internal and external. And all of it has to scale like crazy, be as cost effective as possible, and use automation wherever it can. Oh, and your boss needs the IoT pipeline built by tomorrow. Short timelines? Tight budget? Unrealistic expectations? Unfortunately, these asks are realities for many cloud professionals. AWS knows this and is here to help.  

This paper is a high level, moderately technical understanding of Hyper-Converged Infrastructures. IT managers, data center architects, and administrators alike may find this information helpful in their pursuit to simplify the data center and improve application performance.

Whether you’re a beginner or intermediate Python developer, you’ll want to keep this guide close to your keyboard and Python editors. In it, you’ll find sample use cases for many of the most common language constructs and tasks that you’ll likely need to perform, such as reading a file or working with a database.

Discover how Network Functions Virtualization (NFV) will revolutionize IT and change the way you think about network connectivity and perhaps even application development. This white paper is written for networking professionals but it may offer valuable insight for those in cross-functional roles such as DevOps, server virtualization, and data center management.

Though there are several sources for agile certifications, the Project Management Institute (PMI)® Agile Certified Practitioner (PMI-ACP)® has established itself as the world’s fastest growing agile credential. The PMI-ACP certification formally recognizes your knowledge of agile principles and your skill with agile techniques.

Here are some secrets, tips, and tricks for virtualizing your datacenter. We want to introduce some best practices for virtualization, while not being too biased towards one virtualization vendor or another. We'll use some common examples of products and tools that work with VMware's vSphere and Microsoft's Hyper-V, but with an eye toward virtualization in general, and not the specifics of any of the capable platforms that could be used). We will assume, however, that bare metal hypervisors, in other words virtualization platforms where the hyper visor is the OS, will be used as opposed to running a hypervisor on top of an existing general-purpose operating system (which is great in a lab, but terrible for data center projects).