At the end of a three-hour keynote address for Amazon's annual re:Invent conference, which is taking place virtually this year, Amazon Web Services chief executive Andy Jassy wrapped up with an extended discussion about edge computing and its role in hybrid computing. "Hybrid is not just about whether its on-premise or in the cloud," said Jassy. Instead, IT needs "the same APIs, the same control plane, the same tools, the same hardware they get in AWS regions," said Jassy. He was referring to Amazon's AWS Outposts, a rack of equipment deployed at a customer facility that is a fully-managed service from Amazon. Jassy said Amazon has made the Outposts offering easier to purchase now with new form factors, 1U and 2U rack units, versus an entire rack-size deployment.
Amazon Web Services announced Tuesday that it has inked a multi-year partnership with BlackBerry to develop and market Ivy, BlackBerry's in-vehicle data platform. BlackBerry's Ivy platform aims to offer automakers a standardized way to read vehicle sensor data and analyze it for personalized in-vehicle services. It builds on the capabilities of BlackBerry's QNX platform, its safety-certified embedded OS, as well as AWS' portfolio of IoT and machine learning capabilities. BlackBerry Ivy will support multiple vehicle operating systems and multi-cloud deployments. The system will run on the edge, inside a vehicle's embedded systems, but will be managed and configured from the cloud, the companies said.
The financial services industry is a dynamic space that is constantly testing and pushing novel use cases of information technology. Many of its members must balance immense demands--from the pressures to unlock continuous innovation in a landscape with cloud-native entrants, to responding to unexpected surges in demand and extend services to new regions--all while managing risk and combatting financial crime. At the same time, financial regulations are also constantly evolving. In the face of the current pandemic, we have seen our customers accelerate in their adoption of new technologies, including public cloud services, to keep up with evolving regulations and industry demands. Hand in hand with growing cloud adoption, we've also seen growing regulatory concerns over concentration risk (check out our recent whitepaper on this), which have resulted in new recommendations for customers to increase their overall operational resiliency, address vendor lock-in risks and require effective exit plans.
Edge computing presents organizations with a significant leap in business opportunity. Much has been written about the benefits of the Internet of Things (IoT), but it is now clear that these benefits can only be truly realized with Edge computing. Limiting your organization to only adopting central cloud computing simply won't support your future IoT needs. Today, every organization needs to be a digital organization, powered by data, running in a multi-cloud world. Recognizing that multi-cloud actually begins at the point of data creation – the Edge – the value in the future is in combining Edge computing with IoT.
A large-scale outage on Amazon's cloud service this week wreaked widespread havoc on websites and software services. In addition to disabling Flickr, Adobe and the Washington Post's website, the outage of Amazon Web Services (AWS) on Wednesday caused Roombas, Rokus, Ring doorbells and other smart household appliances to stop functioning. The issue, which impacted the US East-1 region, sent Twitter users into a tizzy. 'My f---ing doorbell doesn't work because AWS us-east-1 is having issues,' tweeted one disgruntled Ring user. 'I... can't vacuum... because us-east-1 is down,' complained Geoff Belknap, Chief Information Security Officer for LinkedIn.
Over the past few years, mobile app use has exploded. More and more customers are using apps to order their favorite food, book tickets, conduct business transactions, listen to favorite music on the go, etc., with the ever-growing adoption of new smartphones. Today, our world is a digital sphere, where it is no longer a challenge to stay in contact with friends across continents. As the number of mobile apps continues to grow, so does our capacity to perform previously tricky tasks. This paper looks at some developments in mobile app development to watch out for in 2020.
And the shift hasn't gone unnoticed by the Big Three cloud providers. AWS and others offer subscription-based remote data storage and online tools, and researchers say they can be an affordable alternative to setting up and maintaining their own hardware. The cloud's added computing power can also make it easier for researchers to run machine-learning algorithms designed to identify patterns and extract insights from vast amounts of climate data, for instance, on ocean temperatures and rainfall patterns, as well as decades' worth of satellite imagery. "The data sets are getting larger and larger," said Werner Vogels, chief technology officer of Amazon.com Inc. "So machine learning starts to play a more important role to look for patterns in the data."
The former Forrester Research Director Chris Mines predicted in 2019 that the world of software development was set for some big changes in 2020. We had no idea that a year later, almost every development shop would be a remote development shop. It makes the curated list of "remote-friendly" companies on GitHub a nostalgic reminder of a simpler, pre-pandemic time. Most developers adjusted well to the changes in 2020, certainly compared to other professions. Working hours increased and work weeks lengthened, but our digital world didn't come crashing down like other sectors of the global economy.
Ever since IBM unveiled Cloud Pak for Data as a cloud-native integrated set of analytics and AI platform, we've been wondering when IBM would take the next step and announce a full-blown managed cloud service. It's now starting to happen as IBM is rolling out IBM Cloud Pak for Data as a Service. Roll back the tape to last spring when we reviewed IBM Cloud Satellite; we noted that IBM's primary cloud message has been about multi-cloud, or at least cloud-agnostic. Propelled by Red Hat OpenShift, IBM carved out such a strategy for this managed Kubernetes environment where you could deploy open source software yourself on the hardware or public cloud of your choice or choose IBM to run a managed OpenShift service for you in the IBM Cloud. That is now getting repeated with Cloud Pak for Data.
Google Cloud Platform provides us with a wealth of resources to support data science, deep learning, and AI projects. Now all we need to care about is how to design and train models, and the platform manages the rest tasks. In current pandemic environment, the entire process of an AI project from design, coding to deployment, can be done remotely on the Cloud Platform. IMPORTANT: If you get the following notification when you create a VM that contains GPUs. You need to increase your GPU quota.