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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.
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.
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.
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.
Managing the change of DataStage components can often become a test of wills. Picture fitting a square peg in a round hole, and you might start to get the idea. The complexity of what is required to promote components from one environment to another during the development, testing, and eventual implementation in the production environments, should be and is often a controlled activity.
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.
Like it or not, Internet of Things (IoT) is upon us. There are a number of factors that will impact its adoption rate, and the inevitable privacy (or lack of) discussions will likely happen sooner than later. This is going to change the world as we know it, in many cases for the better. But we will need to keep an eye on the extent to which it invades our personal lives if it is going to be the positive force it has the potential to be.
The Logical Volume Manager (LVM) is a powerful tool for managing storage on Linux servers. This video provides an overview of how LVM works and explores several ways that LVM makes storage management easier and more flexible. Examples include how to expand storage capacity on the fly using LVM and resize2fs, and how to migrate data from local storage to a storage area network (SAN) without downtime using pvmove.
The biggest difference between Ethernet II and 802.3 is the fields of their Ethernet headers. Ethernet II is much more popular - find out why in this post.