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The traditional network engineering model of configuring one device at a time simply doesn’t scale to the growing needs of today’s network. Cisco's intent-based networks and software-defined networking solutions will enable your organization to meet the demands of network programmability and automation. The result will be greater network agility to support new applications while complying with increasing security needs.
In this one-hour webinar, AWS consultant and instructor Ryan Dymek, will discuss how to optimize your AWS architecture design.
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.
In the digital age, people and intellectual property have supplanted physical assets as the most important criteria for determining the value of an organization. It is the employees who develop the next big product or improve the practices, processes, services and internal culture that add significant value to an organization.
Yes, there’s big money in AWS Certification, which tends to outpace other cloud certification salaries, but there’s more to the cloud than dollars and cents.
The process of subnetting is both a mathematical process and a network design process. Mathematics drives how subnets are calculated, identified, and assigned. The network design and requirements of the organization drive how many subnets are needed and how many hosts an individual subnet needs to support. Binary basics and IPv4 address structure were covered in part one of this two-part paper.
Google Cloud Platform (GCP) is Google’s public cloud offering comparable to Amazon Web Services and Microsoft Azure. The difference is that GCP is built upon Google's massive, cutting-edge infrastructure that handles the traffic and workload of all Google users. There is a wide range of services available in GCP ranging from Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) to completely managed Software-as-a-Service (SaaS). We will discuss the available infrastructure components and how they provide a powerful and flexible foundation on which to build your applications.
We spoke with Doug Cutting about his role with Cloudera and learned more about Big Data, training options for IT professionals interested in Big Data, and how Cloudera compares to Red Hat.
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.
The benefits of a RADIUS server are many. In addition to speed, you receive heightened security with user access monitoring, reporting and tracking functions and personalized restrictions. Setting it up costs less than $60 and this white paper walks you through each of the steps, settings, configurations and the equipment you will need.