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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.
Data center return on investment – which is measured by time to cost savings, time to revenue, time to break even, etc. – has proven more elusive than expected. But that doesn’t mean it isn’t attainable. To understand the genesis of the bad and ugly parts of data center ROI, we need to recognize the good parts and appreciate why so many companies are putting their faith in new and unfamiliar technologies.
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.
Let's look at 10 ways the cloud will change (and to a large degree already has changed) the world.
In 2013, Cisco released their Software Defined Networking (SDN) solution for the data center known as Cisco Application Centric Infrastructure (ACI). For many years, the networking industry has been asking for an approach to configuring networking devices more efficiently than having to individually configure each and every router and switch.
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.
Business processes are complicated, and mapping them is not a trivial task. Modelling standards give us the tools to model complex processes, but they do not tell us the best way to approach a model or effectively use the tool. In this hour-long webinar, Global Knowledge instructor Rod Fage will guide you through the best way to develop a model, from determining the goal and scope of the process and measuring its effectiveness, to modelling the process in a hierarchical top-down approach, enabling business analyst to continuously validate the model.
In this hour-long webinar, Global Knowledge course director Brian Egler will examine key new features of Microsoft SQL Server 2016 that demonstrate how it provides automatic end-to-end security, seamless generation of business analytics and elastic integration of data in the cloud.
With Microsoft SQL Server 2016, you can distribute your data to the cloud using the Stretch Database feature to improve local access while allowing cloud access to large amounts of historical data. You can also provide transparent end-to-end security using Always Encrypted technology and track changes automatically through temporal data. Download this white paper to learn why these features and more make SQL Server 2016 Microsoft's most important release to date.
Cisco Internetwork Operating System (IOS) has been around since a little after the inception of Cisco Systems as a company. In 1984, Len and Sandy Bosack from Stanford University founded Cisco Systems with a small commercial gateway server. The first Cisco router that I touched was an Advanced Gateway Server (AGS), which was the first marketed product of the company. After this came the Mid-Range Gateway Server (MGS), the Compact Gateway Server (CGS) and later the Integrated Gateway Server (IGS) and AGS+. The first version of IOS that I touched was 8.2(7). The operating system was based on a Unix-based system and was designed as a monolithic operating system, meaning that processes are stacked and interrelated.