Marketwatch

This Week in Cloud May 26, 2017

Ryan Quackenbush

By Ryan Quackenbush5.26.17

Welcome to This Week in Cloud! This is a curated list of the top stories that were published during the past week pertaining to cloud computing, containers, the IoT, acquisitions, product releases, industry studies, and more.

If you’ve got an eye for technology but don’t have the time to keep track of everything cloud, let us give you a hand!

Kubernetes and IBM Bluemix: How to Deploy, Manage, and Secure Your Container-Based Workloads

By Jeffrey Kwong, May 22nd edition of the Bluemix Blog
“More developers are packaging their microservices in containers to improve developer productivity and accelerate deployment to production. However, managing a cluster of servers on the cloud to run containers can be difficult without a container orchestration platform. The next evolution of the IBM Bluemix Container Service is based on Kubernetes and runs on IBM Bluemix Infrastructure in a few clicks. With the service, you can design and launch a cluster into your Bluemix Infrastructure account and then deploy and manage your container-based workloads by using the standard kubectl command line tool. The service automates the full end-to-end installation of Kubernetes through the Bluemix portal. Before you create a cluster, though, you need to know which infrastructure components make up the cluster, where the cluster is going to be placed, how to connect it to your workloads and data sources, and how to secure it. This blog series is based on my team’s experience deploying our Microservices reference architecture; you can find the code for our simple storefront application on GitHub.”

Bluemix Gives Users Two Months to Adopt New Rolling Deployment Tool

By Simon Sharwood, May 24th edition of The Register
“IBM’s announced a swift retirement of its Active Deploy service, a facility offered to those who want frequent updates to cloudy applications. The service will disappear from the Bluemix Catalog on June 23rd and “As of July 23, 2017, the service will be shut down and any existing deployment configurations will be deleted.” That edict means that users have just two months to follow IBM’s instructions on how to preserve their current code.”

IBM’s New Platform Readies Open Source Databases For Private Cloud

By Conner Forrest, May 24th edition of TechRepublic
“IBM announced a new Database as a Service (DBaaS) toolkit on Wednesday that makes open source services like MongoDB, EDB PostgreSQL, MySQL, MariaDB, Redis, Neo4j, and Apache Cassandra more accessible on private cloud deployments. The toolkit’s formal name is Open Platform for DBaaS on IBM Power Systems, and it runs on IBM’s OpenPOWER LC servers, according to a press release. Compared to x86 for EDB PostgreSQL 9.5 and MongoDB, this service offers a 1.8x price-performance advantage, the release said. The overall goal is to make it easier to deploy infrastructure that is compliant with policy and fits the organization’s needs.”

IBM, Google, and Lyft Team Up On Open-Source Project For More Control Over Microservices

By Tom Krazit, May 24th edition of GeekWire
“After years of evangelizing microservices as the path to a more nimble development organization, companies are realizing they need to make it easier to keep track of all those moving parts. IBM, Google, and Lyft released a new open-source project Wednesday to give developers better control over their microservices projects. Istio is the name of the joint project, and it’s designed to give “developers and devops fine-grained visibility and control over traffic without requiring any changes to application code,” Google’s Valrun Talwar wrote in a blog post. It runs on Kubernetes, but will eventually reach other platforms such as Cloud Foundry, IBM said in its own post on the matter.”

Google’s Machine-Learning Cloud Pipeline Explained

By Serdar Yegulalp, May 19th edition of InfoWorld
“When Google first told the world about its Tensor Processing Unit, the strategy behind it seemed clear enough: Speed machine learning at scale by throwing custom hardware at the problem. Use commodity GPUs to train machine-learning models; use custom TPUs to deploy those trained models. The new generation of Google’s TPUs is designed to handle both of those duties, training and deploying, on the same chip. That new generation is also faster, both on its own and when scaled out with others in what’s called a “TPU pod.”

Cloud Native Computing Foundation Adds the CoreOS-Backed CNI As Latest Hosted Project

By Tom Krazit, May 12th edition of The New Stack
“The Cloud Native Computing Foundation (CNCF) has voted to approve the Container Networking Interface (CNI) as the new open-source project under its umbrella, the organization plans to announce later on Tuesday. The CNI, backed by CoreOS and supported by important cloud computing projects like Kubernetes, Apache Mesos, and Red Hat, describes a method for hooking containers up to networking resources. It will become the 10th project — and the first networking-related project — to become part of the CNCF family. While the CNI was being considered alongside a Docker-based specification called the Container Network Model, the CNCF does not endorse projects as would-be standards, said Ken Owens, chief technical officer at Cisco and a member of the CNCF’s Technical Oversight Committee who sponsored the CNI project.”

The Big-Six Tech Companies Grew By $18 Billion In Total Revenue And $4.5 Billion in Profit Last Quarter

By Rani Molla, May 20th edition of Re/Code
“First-quarter results are in for the big six tech companies: Alphabet, Amazon, Apple, Facebook, Microsoft and Netflix all saw increases in their top and bottom lines compared to the same quarter the year before, according to data from FactSet. Combined, the companies grew by $18 billion in total year-over-year revenue and $4.5 billion in profit last quarter to generate $146 billion in total revenue and $25 billion in total profit.”

​Back to the Future: Converged Infrastructure Journey Through the Clouds

By Travis Kane, May 25th edition of ZDNet
“For today’s public transport reading I wanted to focus on the trends of private cloud. If you asked me two years ago to invest in a private cloud startup I wouldn’t have believed it. I thought the future of private cloud vendors would be one of those things people talked about in the good old days. Everyone would be well on their way to public cloud with strategies to do this all locked in and in execution mode. Looking at it now I am obviously completely wrong. In fact, there are more private cloud providers in the market then there were two years ago! So I asked myself, why is that? Let me give you my thoughts as to why. Like the word cloud when it first got termed, digital transformation can cover a lot of different topics.”

Why Public Cloud R&D is Making Lock-In Worse, Not Better

By Matt Asay, May 22nd edition of TechRepublic
“Derrick Harris offers a great analysis of Google’s AI-driven approach to cloud computing, but the subtext is perhaps even more interesting: The cloud is on lock-in overdrive. We’ve spent the last decade unhooking data infrastructure from proprietary systems. As Cloudera co-founder Mike Olson rightly stated: “No dominant platform-level software infrastructure has emerged in the last ten years in closed-source, proprietary form.” Well, except for the big-three cloud providers, each of which is wholly proprietary, and becoming more so with each passing day. As Harris wrote, “All three providers will offer Nvidia’s best GPUs for rent in their clouds, just like they all offer managed versions of popular technologies such as Spark or MySQL, but they hope to make their marks with homemade technologies you can’t get anywhere else.”

Make Sense of Edge Computing Vs. Cloud Computing

By David Linthicum, May 23rd edition of InfoWorld
“The internet of things is real, and it’s a real part of the cloud. A key challenge is how you can get data processed from so many devices. Cisco Systems predicts that cloud traffic is likely to rise nearly fourfold by 2020, increasing 3.9 zettabytes (ZB) per year in 2015 (the latest full year for which data is available) to 14.1ZB per year by 2020. As a result, we could have the cloud computing perfect storm from the growth of IoT. After all, IoT is about processing device-generated data that is meaningful, and cloud computing is about using data from centralized computing and storage. Growth rates of both can easily become unmanageable. So what do we do? The answer is something called “edge computing.”

Almost Half of Businesses Operating Without Digital Transformation Plans – Research

By Scharon Harding, May 24th edition of Channelnomics
“Research this week has found that 49 percent of global enterprises do not have a formal digital transformation strategy. According to Enterprise Digital Transformation Study, a survey of over 1,400 decision makers in worldwide enterprises of various sizes in North America, Europe and Asia-Pacific by CenturyLink and commissioned by 451 Research, 19 percent of respondents are in the planning stages when it comes to digital transformation and seven percent don’t have any ongoing digital transformation strategy. However, 42 percent of respondents are expecting “major disruption” in their industry from the emergence of new digital technologies, the report found.”

Are VMs More Secure Than Containers?

By Marvin Waschke, May 19th edition of Network World
“We often say, “HTTPS is secure,” or “HTTP is not secure.” But what we mean is that “HTTPS is hard to snoop and makes man-in-the-middle attacks difficult” or “my grandmother has no trouble snooping HTTP.” Nevertheless, HTTPS has been hacked, and under some circumstances, HTTP is secure enough. Furthermore, if I discover an exploitable defect in a common implementation supporting HTTPS (think OpenSSL and Heartbleed), HTTPS can become a hacking gateway until the implementation is corrected. HTTP and HTTPS are protocols defined in IETF RFCs 7230-7237 and 2828. HTTPS was designed as a secure HTTP, but saying HTTPS is secure and HTTP is not still hides important exceptions.”

GitHub Introduces Marketplace, Expands Apps and GraphQL API

By Michelle Gienow, May 22nd edition of The New Stack
“Just a week ago, GitHub announced two major releases: first, a new beta version of Atom that integrates Git and GitHub operations, like making commits, right inside your text editor. A brand new, completely rebuilt GitHub desktop client, also beta, came out the same day. Today the Gitiverse expands even further with the launch of three new innovations: GitHub Marketplace, GitHub Apps, and the GitHub GraphQL API. The triple release was announced in London at GitHub Satellite, a regional extension of the annual fall GitHub Universe conference. More below, but briefly here: GitHub Marketplace, just like it sounds, is a storefront for apps aimed at integrating and optimizing workflow across the development process. Building on original early release versions announced at the 2016 Universe conference, GitHub Apps (formerly “Integrations”), is a first-class actor connecting your service to GitHub to act on its own behalf instead of impersonating a user. And GitHub GraphQL API allows developers to access all the data they need, and only the data they need, with one API call — the same API used by GitHub’s engineers.”

Ryan Quackenbush
Ryan Quackenbush

Ryan Quackenbush is the Advocacy Programs Manager at Apprenda. His cooking is renowned, his record collection and library are extensive and, when not at Apprenda, he can usually be found rooting for the Mets or playing live music. You can follow him on Twitter at @RSQuackenbush.

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