Google Cloud Platform Solutions and Technologies
Solve your business challenges and prepare your team with Google Cloud solutions, products, and services.
Hi everyone,recently I started to be tempted to try a Chromebook, I never used one and I’m wondering if they are a good option to work?What do you think?. Is anyone working full-time on a Chromebook can share the experience?Also, given that the current Google Pixelbook it’s been for a while on the market now, does anyone know if we are going to see a new model soon?
I recently discovered a delightful tool that is in beta that has been handy when using Cloud Shell. It has helped me quite a bit learning the commands and formats for Cloud Shell.Following is an overview of how to use -https://cloud.google.com/sdk/docs/interactive-gcloud?_ga=2.223481627.-1467453513.1679866036What it looks like -
Vector similarity search is one of the most important pillars of Google's core business, driving services like search and recommendations for YouTube and Google Play Store. Now, Google Cloud introduces Vertex AI Matching Engine, giving external developers Google's large-scale, low latency vector similarity search service. In this video below, Kaz Sato, Staff developer advocate, Google cloud will explore the technology and how it can be applied to business needs like information retrieval, recommendations, content search, and classification. Please click on the video to watch more details.
What is your IT department’s position on Apple devices in the organization? Do they embrace user choice and offer Mac computers to users that want them, or is it a firm “no”? Do users get to enjoy the frictionless Apple experience they love, or are their devices locked down to the point they’re no longer pleasant to use? Perhaps IT is still in denial and pretend they don’t see their CEO walking around with a Macbook, talking on an iPhone using AirPods. Whatever step you’re at in your Apple maturity journey, Jamf is there for you.At Jamf, we help organizations of all sizes and specialties to manage and secure their Apple devices, without impacting the user experience. You can find us in startups and enterprises, helping IT zero-touch deploy and secure Mac, iPhone and iPad and securely empowering employees with their BYOD devices.We’d love to get to know you — but let’s break the ice first. How did Jamf start?In the early 2000s, then-student now co-founder Zach Halmstad was working in th
Simplify And Accelerate Data-Driven Insights: Integrate Pluto7’S Platform Solutions On Google Cloud Marketplace
At Pluto7, we are on a mission to empower supply chains to make intelligent decisions through the power of data. In today’s fast-paced and data-driven world, the ability to extract meaningful insights from complex datasets is the key to gaining a competitive edge.Our innovative data platform solutions harness the potential of artificial intelligence, machine learning, generative ai to deliver actionable intelligence faster and drive business growth. Pluto7’s solutions are built on Google Cloud Cortex Framework, which provides the scalability, security, and reliability that businesses need to succeed.These solutions are also available on Google Cloud Marketplace making it even more convenient for businesses to discover, install, and manage them.Why Adopt Pluto7 Solutions via Google Cloud Marketplace?Adopting Pluto7 solutions via the GCP Marketplace brings several benefits, including accelerated sales processes, simplified billing, and scalable procurement. Businesses can leverage these
who is newly practicing as a google cloud solution architect or trying to build a good banking app it might help you to understand how can use google cloud resources to build your app in the cloud easier. In this video, Developer Advocate Priyanka discusses an approach to building a modern banking platform in the cloud. Watch to learn about the power of Google Cloud and how you can also leverage the cloud to build a modern banking platform. The video contains the following topics:0:00 - Intro0:47 - The current state of banking1:35 - Banking as a service model architecture2:24 - APIs for banking3:21 - Let us know in the comments3:35 - High level overview6:06 - The architecture6:36 - Channel services7:01 - The customer applications7:13 - The integration layer (API connectors)8:00 - Event / Transformation hub8:14 - Data for enterprise use8:47 - Back end services9:16 - Core application services9:49 - Core security and operational services10:19 - Sample application code10:32 - Wrap up Extra
In the bustling world of web applications, handling time-consuming tasks efficiently is vital to maintaining a responsive and reliable user experience. Thankfully, Laravel comes to the rescue with its powerful queueing system. In this blog post, we'll delve into the world of Laravel Queues and explore how they can revolutionise your task processing workflow. The Power of Laravel QueuesLaravel Queues provide a robust solution for dealing with tasks that are time-consuming or may not need immediate execution. By pushing these tasks into queues, you free up your application to handle other user requests promptly. This ensures that your application remains fast, responsive, and maintains optimal uptime even during resource-intensive operations. Configuring the Queue DriverLaravel offers multiple queue drivers, including database, Redis, Amazon SQS, and more. Choosing the right driver depends on your application's specific needs and infrastructure. To configure the queue driver, open the `c
IntroductionIn the ever-evolving world of web development, maintaining high uptime, reliability, and performance for mission-critical applications is a top priority. To tackle this challenge, we turn to the powerful concept of Inversion of Control (IoC). Let’s explore how leveraging IoC principles in Laravel can help us build a resilient codebase that withstands the test of time. The Foundation of Inversion of ControlAt its core, IoC is about flipping the traditional approach to dependency management. Rather than allowing components to create and manage their dependencies, IoC containers take charge of this responsibility. In Laravel, the IoC container acts as the central hub, resolving and injecting dependencies into the components when needed. Decoupling Dependencies with Dependency InjectionOne of the fundamental aspects of IoC in Laravel is Dependency Injection. This technique allows us to decouple our classes from their dependencies, making our code more maintainable and flexible
I recently attended Meetup hosted by Google Warsaw Cloud, where Emilia Sokół, a software engineer, discussed Chubby, a lock service at Google scale. She shared her team's experience with providing a reliable locking service for a distributed system. Emilia also talked about the mechanisms for scaling, such as caching and proxies, and how Paxos implementation with lease timers ensures liveness. Here you can watch previous meetups and learn something new about Google Cloud: https://events.withgoogle.com/google-warsaw-cloud-meetup/past-events/#content Can't wait to attend more events like this and learn from experts in the cloud field!
Google Cloud Platform (GCP) offers a wide range of services for data and analytics, so it can be daunting to know where to start. This decision tree can help you narrow down your options and choose the right services for your needs. Then you should ask yourself first: What type of data do you have?Structured data: This is data that is organized in a fixed format, such as rows and columns in a spreadsheet. Examples of structured data include customer records, financial transactions, and product inventory. Unstructured data: This is data that is not organized in a fixed format, such as images, videos, and text documents. Examples of unstructured data include social media posts, customer reviews, and medical records.What are your analytics goals?Descriptive analytics: This type of analytics helps you understand what has happened in the past. Examples of descriptive analytics include reporting, trend analysis, and anomaly detection. Diagnostic analytics: This type of analytics helps you un
Google Cloud is announcing a new set of Generative AI products! Harnessing the power of decades of Google’s research, innovation and investment in AI, @GoogleCloud is bringing businesses and governments the ability to generate text, images, software code, videos, and more from simple natural language prompts.We call them "Gen Apps" because they're like regular apps, but with a twist: they can generate new content based on user input. This is a huge breakthrough, and it has the potential to revolutionize how we interact with information and each other.For example, you could use a Gen App to create a virtual assistant that can answer your questions in a natural way. Or, you could use it to generate creative content like poems, stories, or even code.https://www.youtube.com/watch?v=yg2yHIKQ7oM Google Cloud still in the early stages of development, but They’re making great progress. What can you do today? To learn more, check out our announcement blog and new AI homepage. Register for
Let's talk abut the practical, effective measures you can use to enhance your software supply chain security at tomorrow's event here at C2C - The Google Cloud Customer Community, entitled "Software Supply Chain Security: Provenance, Transparency, and Context" with Mark Chmarny, Product Manager at Google. Mark will illustrate how to implement artifact provenance attestation in your release pipelines and increase the traceability of the components and dependencies used in your software. Using these measures, you will be able to more easily identify any outdated or insecure packages that could be exploited by attackers.We will discuss how to: 👉 Implement artifact provenance attestation in your release pipelines using Supply-chain Levels for Software Artifacts (SLSA)👉 Increase the traceability of the components and dependencies used in your software to enable you to more easily identify any outdated or insecure packages that could be exploited by attackers using a Software Bill of Mater
Are you wondering how to connect Workday Adaptive Planning & Google Cloud Platform ? I’m working on this topic, I have posted a Medium Blog Post that I would like to share with the C2C Community. By the way, It’s an ongoing project there is room for improvement. Feel free to reach me, open issues in the GitHub project… Dynamically extract data from Workday Adaptive Planning using Google Cloud Run (Part 1/2)
How are you architecting for 2023?At the API Leadership Forum, leaders from companies like Kroger, Verizon, and Equifax shared lessons learned on how to transform their business with Apigee and Google Cloud.Click on the link below to register for updates on the 2023 calendar!https://rsvp.withgoogle.com/events/modern-architecture-and-api-leadership-forum_583f41
Companies that prioritize customer experience achieve 4–8% higher revenue compared to their industry peers.Understanding and predicting customer behavior is a common challenge across industries, including supply chain. Modern customers expect an exceptional experience. Their experience starts long before a purchase is made — online or offline. It starts with your supply chain.Digital twin of Customer is a powerful way to give your customers the experience they want.By creating virtual replicas of individual customers, known as the digital twin of the customer (DToC), supply chain leaders can gain unprecedented insights into customer preferences, needs, and behaviors.Pluto7’s Google Cloud Cortex aligned, prepackaged solutions connect your data end-to-end and serve as the perfect foundation to build digital twins. Endorsed back-to-back by Gartner in their “Market Guide for Analytics and Decision Intelligence Platforms in Supply Chain,” our decision intelligence platform “Planning in a Bo
Google Kubernetes Engine (GKE) is a powerful container orchestration platform that can help you streamline your AI/ML journey. GKE's container orchestration and automated scaling capabilities can help you deploy and manage your AI/ML workloads more effectively.Performance: GKE can help you achieve high performance for your AI/ML workloads by providing a scalable and reliable infrastructure. GKE also supports a variety of hardware accelerators, such as GPUs and TPUs, which can further improve the performance of your AI/ML workloads. Cost-efficiency: GKE can help you save money on your AI/ML deployments by providing a pay-as-you-go pricing model and by optimizing your resource usage. GKE also offers a number of features that can help you reduce your operational costs, such as automated scaling and node autoprovisioning. Ease of use: GKE is a highly user-friendly platform that makes it easy to deploy and manage AI/ML workloads. GKE also offers a number of tools and resources that can help
Artificial intelligence (AI) is rapidly transforming the world, from businesses to healthcare to education. Google Cloud is at the forefront of AI innovation, and Google Cloud want to help us to experience the magic of their technology.Google Cloud bring a Industry Innovation Workshop. This is a unique opportunity to explore and experiment with cutting-edge AI innovations from Google Cloud. You will learn how to use AI to solve real-world problems, and you will get hands-on experience with their powerful AI tools and services.Whether you are a business leader, a researcher, or a developer, the Industry Innovation Workshop is for you. Join this workshop and discover how AI can help you make a difference in the world.Here are some of the benefits of attending the Industry Innovation Workshop:Learn how to use AI to solve real-world problems Get hands-on experience with Google Cloud's AI tools and services Network with other AI leaders and innovators Get inspired by the latest AI research
Register for the Generative AI workshop before it ends.Please click this link below:https://cloudonair.withgoogle.com/events/generative-ai-hands-on-lab-3?talk=t1-s1Time: 10AM PDT (July 26th, 2023)Venue: Virtual OnlineYou will receive the meeting invite once you register for the event using above link.I attended the yesterday’s one and it was fascinating to know lot of new things. This one has been completed yesterday. If you are interested, utilize the opportunity to see some of the amazing and cool stuffs they are explaining around Generative AI “Hands-On Lab”.
Hi I’m wondering if there are any sandbox or resources associated to being able to simulate outside GCP accounts that are not tied to our account for testing OOAUTH/account permissions, multi-tenancy (having different companies be able to access our solutions and remain distinct and kept separate from each other, etc? This would be extremely helpful in development and demo/proto-typing a solution before looking to roll it out and/or having to create multiple GCP accounts that are more fake/shell in order to achieve this level of testing/validation. If there are resources for how to do this - I’d live to get a link to those documents.
As AI has come into the spotlight and become the topic of much discussion, I wanted to give an update on the many different ways Orca Security is using AI to bring better cloud security. Powered by Orca’s AI, the IAM Policy Optimiser analyzes IAM administrators’ recent usage, and clusters this usage into separate groups according to behavior. Orca calculates the largest security improvements that can be made with the least policy changes, and provides teams with guided remediation steps to reduce IAM risk, as well as suggests a new least-privileged policy to each of the new groups. https://orca.security/resources/blog/securing-identities-and-entitlements-across-multi-cloud-with-orca-ciem/ Artificial Intelligence (AI) plays a crucial role in identifying when there’s an active attack occurring in your cloud environment. AI can process large volumes of data and logs, and in the blink of an eye, perform in-depth contextual analysis to determine when events are significantly anomalous and
Bad.Build is a critical design flaw discovered by the Orca Research Pod in the Google Cloud Build service that enables attackers to escalate privileges and gain unauthorized access to code repositories and images in Artifact Registry. The flaw presents a significant supply chain risk since it allows attackers to maliciously tamper with application images, which can then infect users and customers when they install the application. As we have seen with the SolarWinds and recent 3CX and MOVEit supply chain attacks, this can have far reaching consequences.We would like to thank Google for working closely with Orca and for quickly addressing one of the discovered issues.Full article with Recommendations: https://orca.security/resources/blog/bad-build-google-cloud-build-potential-supply-chain-attack-vulnerability/
When ChatGPT rose to stardom, it wasn’t just a technological feat — it was a management lesson in data literacy. This unexpected star demonstrated two significant things. First, with enough high-quality data, learning models could produce equally high-quality outputs. Second, it highlighted that poor-quality data could lead to substantial gibberish.One of the key learnings from the ChatGPT episode was the glaring need for simplifying data analysis in the enterprise market. Enterprises needed a way to transform raw data into valuable insights without the hassles of complex SQL queries or setting up machine learning models.Although ChatGPT was made available to the public earlier, there’s no denying that Google is a pioneer and leader in Generative AI technology. Through Google Cloud’s Vertex AI, it is now opening up state-of-the-art Large Language models like PaLM 2, trained on billions of parameters, and the entire Generative AI ecosystem to enterprises securely.Similarly, it is an und
Generative AI is a hot topic in the tech industry, but it can be daunting to know where to start. However, there are many ways to use generative AI to create meaningful impact. For example, you can use it to:Create new projects from simple natural language prompts: This could be used to generate new product ideas, marketing campaigns, or even entire creative works. Summarize information in a digestible way: This could be used to create executive summaries, user guides, or even news articles. Discover what your customers want: This could be used to generate customer surveys, feedback forms, or even product recommendations. Automate your customer service: This could be used to answer customer questions, resolve issues, or even provide support.Generative AI is the start of a new era of innovation, and there are endless possibilities for how it can be used. So if you're looking for a way to make a meaningful impact, consider using generative AI.Click on the link below to hear from the Goog
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