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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.
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.
Unlike ITIL, DevOps is more of a philosophy than a formal framework. DevOps, which is short for Collaboration between Development and Operations, arose as a movement within IT best practices when IT managers began to realize that something needed to be done to close the communications and collaboration gap between development groups and support operations staff. After some time and examination, it became clear that there was no inherent conflict between the DevOps movement and ITIL—the two, in fact, are quite complementary.
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.
In the future, IT leaders will face a host of multi-dimensional challenges as global business increases in technological complexity; some of the challenges include harnessing mobilization and use of social media for business, developing employee- and customer-facing business applications.
Get an insider’s take on 2017 cloud computing, DevOps, and Internet of Things (IoT) trends from an industry expert.
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.
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.
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.