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Mark Morgan is a Global Knowledge Senior Instructor. He has worked in the IT industry for over 20 years and has taught Microsoft courses for Global Knowledge since 2000. In this video clip, Mark discusses the top differentiators in Global Knowledge's Windows 7 and Server 2008 Boot Camps.
Regardless of your vendor preference or your experience on the Juniper JUNOS CLI, assuming you have a point of reference to another vendor, your first thought when experiencing JUNOS is, “I have been here before.” The CLI is familiar, convenient, and polished. The similarities between JUNOS CLI and another CLI such as Cisco’s IOS are not what I want to focus on here however; it is their differences I want to focus on. But first, when you connect to a JUNOS powered device and access Operational Mode (see Brad Wilson’s blog post Introduction to Juniper Junos), it looks very much like the User EXEC Mode in IOS. In fact, there are a lot of JUNOS commands that are very much like the IOS User EXEC Mode commands.
None of us have much time to waste, so what can you do when your environment changes quickly and you need to come up to speed on a device that you have never seen before? You find the quickest way to bring yourself up to speed. Some of you will have experience with other vendors’ equipment, and some of you will not have much experience at all; therefore, we will focus on topics that will get your feet wet the quickest and have you talking Junos in no time.
Database Management Systems (DBMS) have been monolithic structures with their own dedicated hardware, storage arrays, and consoles. Amazon Web Services (AWS) realized that while each company can use unique methods of collecting and using data, the actual processes of building the management infrastructure are almost always the same. AWS remedies DBMS problems with its Amazon Relational Database Service (Amazon RDS).
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.
Discover how the enhanced performance and reliability of Amazon Aurora will help AWS customers reduce performance bottlenecks in their applications. The relatively low cost of Aurora will tempt many customers to migrate workloads to this implementation of RDS.
In this one-hour webinar, AWS consultant and instructor Ryan Dymek, will discuss how to optimize your AWS architecture design.
The idea of building and running applications without thinking about the servers (AKA serverless computing) is a developers dream come true. Watch expert Rich Morrow to understand: The benefits of using serverless computing Different architectures that use serverless computing How AWS services, like Lambda, S3, API Gateway and DynamoDB work together to enable faster and more flexible application deployment and management. This video also features a live demo: Building a web app with only serverless components.
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.
Google Cloud certifications had a breakout year according to the Global Knowledge 2019 IT Skills and Salary Report. GCP Cloud Architect is the top-paying IT certification in North America and Europe, the Middle East and Africa (EMEA), while Google Cloud salaries are 34% higher than the average for North America. As more IT departments adopt multi-cloud strategies, Google Cloud skills are increasing in popularity.