Google Cloud goes all-in on hybrid with its new Cloud Services Platform | TechCrunch
The cloud isn’t right for every business. Be that because of latency constraints at the edge, regulatory requirements or because sometimes own data center is cheaper.

So the vast majority of enterprises today use both public and private clouds in parallel.

The two services at the core of new offering from Google are the Kubernetes project container orchestration tool and Istio, a relatively new but quickly growing tool for connecting, managing and securing microservices.


  1. Tomi Engdahl says:

    Google Cloud CEO Diane Greene: ‘We’re playing the long game here’

    Google is hosting its annual Cloud Next conference in San Francisco this week. With 25,000 developers in attendance, Cloud Next has become the cloud-centric counterpart to Google I/O.

  2. Tomi Engdahl says:

    Google announces Cloud Build, its new continuous integration/continuous delivery platform

    It used to be that developers built applications with long lead times and development cycles. There was always plenty of time to prepare, but in today’s continuous delivery/continuous deployment (CI/CD) world, new versions could be going out every day. That requires a CI/CD framework, and today at Google Next in San Francisco, the company announced Cloud Build, its new CI/CD framework.

  3. Tomi Engdahl says:

    Linux containers, virtualization, and services: “Three’s a party” in modern IT

    Linux containers are often positioned as disruptive to traditional virtualization, frequently culminating in the question: Will containers kill virtualization? It’s a fair question, given the shared similarities in workload isolation, resource utilization, and so on, but the answer is a hard “no.” They’re complementary, each solving a unique challenge for the enterprise; that said, historically they don’t actually integrate or work well together. This means separate application stacks, separate developer workflows, and so on.

  4. Tomi Engdahl says:

    Google’s direct competitor to AWS and Azure Functions is here

    Google’s Cloud Functions serverless platform is now generally available

    Cloud Functions, Google’s serverless platform that competes directly with tools like AWS Lambda and Azure Functions from Microsoft, is now generally available, the company announced at its Cloud Next conference in San Francisco today.

    Google first announced Cloud Functions back in 2016, so this has been a long beta.

  5. Tomi Engdahl says:

    Fei-Fei Li / The Keyword:
    Google announces new Cloud AutoML offerings: Vision, Natural Language, and Translation, available in beta, also announces Contact Center AI available in alpha

    Empowering businesses and developers to do more with AI

    Today, we’re sharing news on a number of new products and enhancements to do just that:

    Cloud AutoML Vision, Natural Language, and Translation, available now in beta

    New enhancements to Dialogflow Enterprise Edition, available now in beta

    A new solution, Contact Center AI, available now in alpha

  6. Tomi Engdahl says:

    Nat Levy / GeekWire:
    Alphabet spent ~$5.5B on capital expenditures in Q2, up from ~$2.8B a year ago, as the company continues to expand its cloud business

    Google nearly doubles spending on capital projects as it continues major cloud investment

  7. Tomi Engdahl says:

    Google’s serverless computing strategy starts to take shape as it chases Amazon Web Services and Microsoft

    While Google’s cloud business enjoyed some natural advantages as containerized applications became popular over the last few years, things are quite different when it comes to serverless computing. The company tried to make up for some of that lost time Tuesday at Google Cloud Next with the introduction new serverless technologies that build on its existing strengths.

    Google announced that Cloud Functions, its serverless computing service, is now generally available, finally giving Google a competitive answer to AWS Lambda and Azure Functions. And the company also introduced Knative (kay-native), an open-source serverless computing project designed with support from Pivotal, IBM, Red Hat, and SAP that helps companies that have invested in Kubernetes get up and running with functions.

  8. Tomi Engdahl says:

    Jeff John Roberts / Fortune:
    Google partners with blockchain startup Digital Asset to let Google Cloud developers build blockchain apps using DAML, the startup’s smart contract language

    Google Expands Blockchain Push With Digital Asset Tie-Up

  9. Tomi Engdahl says:

    Google is making a fast specialized TPU chip for edge devices and a suite of services to support it

    In a pretty substantial move into trying to own the entire AI stack, Google today announced that it will be rolling out a version of its Tensor Processing Unit — a custom chip optimized for its machine learning framework TensorFlow — optimized for inference in edge devices.

  10. Tomi Engdahl says:

    Announcing the New AIY Edge TPU Boards
    Custom ASIC for accelerated machine learning on the edge

    Earlier this morning, during his keynote at the Google Next conference in San Francisco, Injong Rhee, the VP of IoT, Google Cloud, announced two new AIY Project boards—the AIY Projects Edge TPU Dev Board, and the Edge TPU Accelerator—both based around Google’s new purpose-built Edge TPU

  11. Tomi Engdahl says:

    Google is baking machine learning into its BigQuery data warehouse


    Google is baking machine learning into its BigQuery data warehouse
    Frederic Lardinois
    @fredericl / 15 hours ago

    Google campus bike
    There are still a lot of obstacles to building machine learning models and one of those is that in order to build those models, developers often have to move a lot of data back and forth between their data warehouses and wherever they are building their models. Google is now making this part of the process a bit easier for the developers and data scientists in its ecosystem with BigQuery ML, a new feature of its BigQuery data warehouse, by building some machine learning functionality right into BigQuery.

    Using BigQuery ML, developers can build models using linear and logistical regression right inside their data warehouse without having to transfer data back and forth as they build and fine-tune their models.

  12. Tomi Engdahl says:

    Announcing the New AIY Edge TPU Boards
    Custom ASIC for accelerated machine learning on the edge

  13. Tomi Engdahl says:

    Google Drive will hit a billion users this week

    Google loves to talk about how it has seven products with more than a billion users. Those are its flagship search service, Gmail, Chrome, Google Maps, YouTube, Android and the Google Play Store. Indeed, Android actually has more than 2 billion users now. Later this week, we will be able to add an eighth service to this list: Google Drive

  14. Tomi Engdahl says:

    Google brings its search technology to the enterprise

    One of Google’s first hardware products was its search appliance, a custom-built server that allowed businesses to bring Google’s search tools to the data behind their firewalls. That appliance is no more, but Google today announced the spiritual successor to it with an update to Cloud Search. Until today, Cloud Search only indexed G Suite data. Now, it can pull in data from a variety of third-party services that can run on-premise or in the cloud

  15. Tomi Engdahl says:

    Google takes on Yubico and builds its own hardware security keys

    Google today announced it is launching its own hardware security keys for two-factor authentication. These so-called Titan Security Keys will go up against similar keys from companies like Yubico, which Google has long championed as the de facto standard for hardware-based two-factor authentication for Gmail and other services.

    The FIDO-compatible Titan keys will come in two versions. One with Bluetooth support for mobile devices and one that plugs directly into your computer’s USB port.

  16. Tomi Engdahl says:

    Bringing intelligence to the edge with Cloud IoT

    But just as opportunities increase with IoT, so does data. IDC estimates that the total amount of data generated from connected devices will exceed 40 trillion gigabytes by 2025. This is where advanced data analytics and AI systems can help, to extract insights from all that data quickly and easily.

    There are also many benefits to be gained from intelligent, real-time decision-making at the point where these devices connect to the network—what’s known as the “edge.” Manufacturing companies can detect anomalies in high-velocity assembly lines in real time. Retailers can receive alerts as soon as a shelved item is out of stock. Automotive companies can increase safety through intelligent technologies like collision avoidance, traffic routing, and eyes-off-the-road detection systems.

    But real-time decision-making in IoT systems is still challenging due to cost, form factor limitations, latency, power consumption, and other considerations. We want to change that.

  17. Tomi Engdahl says:

    GitHub and Google reaffirm partnership with Cloud Build CI/CD tool integration

    When Microsoft acquired GitHub for $7.5 billion smackeroos in June, it sent some shock waves through the developer community as it is a key code repository. Google certainly took notice, but the two companies continue to work closely together. Today at Google Next, they announced an expansion of their partnership around Google’s new CI/CD tool, Cloud Build, which was unveiled this week at the conference.

    Politics aside, the purpose of the integration is to make life easier for developers by reducing the need to switch between tools. If GitHub recognizes a Docker file without a corresponding CI/CD tool, the developer will be prompted to grab one from the GitHub Marketplace with Google Cloud Build offered prominently as one of the suggested tools.

    Should the developer choose to install Cloud Build, that’s where the tight integration comes into play. Developers can run Cloud Build against their code directly from GitHub, and the results will appear directly in the GitHub interface.

  18. Tomi Engdahl says:

    Google introduces ‘Context-aware’ identification to supplement traditional logons

    We know by now that usernames and passwords are a poor way of securing applications and online services, but they remain for the most part a key tool in the security arsenal. The trouble is that with all of the security breaches in recent years from Equifax to Anthem to Target (and many others), people’s credentials have been widely shared on the internet black market.

    Google wants to help fix that problem and today at Google Next, it announced Context-aware access, a new program that looks beyond your credentials to other factors to help determine if it’s really you or someone pretending to be you.

  19. Tomi Engdahl says:

    Google Cloud introduces shielded virtual machines for additional security

    While we might like to think all of our applications are equal in our eyes, in reality some are more important than others and require an additional level of security. To meet those requirements, Google introduced shielded virtual machines at Google Next today.

    As Google describes it, “Shielded VMs leverage advanced platform security capabilities to help ensure your VMs have not been tampered with. With Shielded VMs, you can monitor and react to any changes in the VM baseline as well as its current runtime state.”

    These specialized VMs run on GCP and come with a set of partner security controls to defend against things like rootkits and bootkits, according to Google.

  20. Tomi Engdahl says:

    Google Announces New Security Tools for Cloud Customers

    To improve security and deliver flexible access to business applications on user devices, Google has introduced context-aware access, which brings elements from BeyondCorp to Google Cloud.

    With context-aware access, Google explains that organizations can “define and enforce granular access to GCP APIs, resources, G Suite, and third-party SaaS apps based on a user’s identity, location, and the context of their request.” This should increase security posture and decrease complexity for users, allowing them to log in from anywhere and any device.

    The new capabilities are now available for select VPC Service Controls customers

  21. Tomi Engdahl says:

    Google Assistant can now do things automatically at a scheduled time


    Google Assistant can now do things automatically at a scheduled time
    Greg Kumparak
    @grg / Jul 28, 2018

    home demo
    Back at Google I/O, Google announced two new features for Google Assistant: custom routines and schedules — both focusing on automating things you do regularly, but in different ways.

    The first lets you trigger multiple commands with a single custom phrase — like saying “Hey Google, I’m awake” to unsilence your phone, turn on the lights and read the news. Schedules, meanwhile, could trigger a series of commands at a specific time on specific days, without you needing to say a thing.

    While custom routines launched almost immediately after I/O, scheduling has been curiously absent. It’s starting to roll out today.

  22. Tomi Engdahl says:

    Googlen tehokkaampi pilvilaskenta perustuu AMD:n uusimpiin

    Google on lanseerannut T2D-palvelun, joka on ensimmäinen uusiin Tau-virtuaalikoneisiin perustuva pilvipalvelu. Googlen mukaan T2D:n laskentateho ylittää kaikki aikaisemmat pilvipalveluiden virtuaalikoneet.

    Pilvipalveluissa puhutaan instansseista tai istunnoista, joita laskentakapasiteetista jaetaan asiakkaille näiden tilausten mukaan. T2D-istunnoissa laskenta tapahtuu AMD:n 3. polven EPYC-prosessoreilla. Googlen mukaan tämä tarkoittaa skaalautuvissa työkuorissa 56 prosenttia korkeamman suorituskyvyn.


Leave a Comment

Your email address will not be published. Required fields are marked *