Alan Shimel reports from AppDev Field Day with a discussion of GCP Cloud Run and compares it to Google Kubernetes Engine (GKE), elucidating key differences and use cases for developers. This comprehensive review offers insights into how each service can streamline cloud-native development and operations, assisting in making informed decisions for application deployment. The report serves as a valuable resource for understanding the nuances between fully managed serverless platforms and container orchestration systems within the Google Cloud ecosystem.
Google Cloud & Cloud Run: Helping Developers Build Faster?
Jack Poller addresses how Google Cloud’s Cloud Run service is accelerating the development process for programmers in this LinkedIn Pulse article for AppDev Field Day. He highlights the platform’s capacity to streamline projects by handling infrastructure management tasks, allowing developers to focus on writing and deploying code. Poller suggests that Cloud Run could be a key tool for developers seeking to deliver applications more quickly and efficiently in a competitive tech landscape.
Google Cloud at AppDev Field Day by Empowering Developers With Cloud Run
In this LinkedIn Pulse article for AppDev Field Day, Paul Nashawaty highlights Google Cloud’s participation at AppDev Field Day, focusing on their empowerment of developers through Cloud Run. The service’s serverless infrastructure allows for easy scaling and streamlined workflows, helping developers to efficiently deploy applications. Nashawaty’s summary underscores Google Cloud’s dedication to simplifying the developer experience and fostering productivity with their innovative Cloud Run offering.
Cloud Run for K8s: GKE, Not GKE
In this AppDev Field Day LinkedIn Pulse article, Guy Currier examines the versatility of Cloud Run for Kubernetes, discussing its implementation both within Google Kubernetes Engine (GKE) and outside of it. His article emphasizes Cloud Run’s ability to provide a cohesive and streamlined serverless experience for containerized applications, regardless of the underlying infrastructure. Currier’s piece sheds light on the expanding serverless options for developers seeking to leverage Kubernetes, and Cloud Run’s role in blurring the lines between fully managed and self-managed environments.
Google Cloud Cloud Run and GKE
In this LinkedIn Pulse article, Alan Shimel delves into the AppDev Field Day presentation of Google Cloud’s Cloud Run and Google Kubernetes Engine (GKE), detailing the transformations they bring to cloud computing. He impresses upon his readers how Cloud Run simplifies container management with a serverless approach, while GKE offers a scalable and secure environment for Kubernetes deployments. Shimel’s analysis emphasizes the potential of these services to accommodate various developer needs, from automatic scaling to intricate orchestration, underscoring Google Cloud’s commitment to innovation in cloud services.
Is Serverless Still Relevant? (GCP Addition)
The relevance of serverless architecture, particularly in the context of Google Cloud Platform (GCP), is the focus of this Dev To article posted prior to AppDev Field Day. Michael Levan delves into its current standing and future potential. The post explores the efficiency and scalability benefits of serverless computing, while also considering its limitations and best use cases. It serves as a thought-provoking read for developers and IT professionals who are evaluating the viability and strategic fit of serverless solutions within their tech stack.
GCP Cloud Run vs Kubernetes
In this Dev To article posted prior to AppDev Field Day, Michael Levan contrasts Google Cloud Run with Kubernetes, providing clarity on the differences and appropriate use-cases for each platform within the Google Cloud ecosystem. The article breaks down the key features, ease of deployment, scalability options, and cost considerations that developers and infrastructure specialists should weigh when choosing between the two services. It offers insight into how Cloud Run’s serverless framework stacks up against the comprehensive control and flexibility of Kubernetes, guiding users to make informed decisions based on their project needs.
Moving Beyond Platform Engineering and IT Operations at AppDev Field Day
AppDev Field Day offers a look beyond traditional platform engineering and IT operations. In this Gestalt IT article, Stephen Foskett gives an overview of the event and the schedule. This event brings together innovative developers and industry experts to discuss the evolution of application development and the integration of emerging technologies. Attendees can expect to engage in thought-provoking dialogues on how to navigate the expanding landscape of app development in increasingly complex IT environments.
Google Cloud, the Preferred Platform for Building Competitive AI Models
At AI Field Day, Google Cloud’s Brandon Royal showcased the giant’s comprehensive strategy for meeting today’s burgeoning AI demands, leveraging one of the industry’s most extensive digital infrastructures. Emphasizing the significance of AI infrastructure in conjunction with generative AI (GenAI), Google Cloud highlighted their commitment to innovation, asserting their platform as the superhighway for AI-forward companies. With Google Cloud providing robust compute power off its own infrastructure, businesses can harness AI’s opportunities without the traditionally high entry barriers of infrastructure costs and expertise. Read more in this article by Sulagna Saha for Gestalt IT.
Gemma and Building Your Own LLM AI
At AI Field Day 4, Intel invited the Google Cloud AI team to showcase their Gemma large language model (LLM), revealing insights into the advanced infrastructure used for building such models on Google Cloud. The presentation underlined Gemma’s efficiency with fewer parameters for inference, highlighting Google Cloud’s strength in analytics and AI, particularly in managing differing resource needs between model training and application inference phases. Google Cloud’s integration of AI in products was illustrated with Google Duet, an AI-based assistant that aids in software development, exemplifying the potential future where AI handles more coding tasks, freeing up developers for high-level problem-solving and design. Read more in this analyst note for The Futurum Group by Alastair Cooke.
Insights From the AI Field Day: A Futurum Group Overview
In this LinkedIn Pulse article, Paul Nashawaty of The Futurum Group summarizes all of the AI Field Day presentations, highlighting VMware’s deep dive into Private AI in collaboration with industry giants like NVIDIA and IBM, and Intel’s focus on deploying AI inference models with Xeon CPUs across diverse environments. Next-generation AI-infused storage solutions from Solidigm and SuperMicro underscored the critical role of optimized storage in AI, while Vast Data focused on addressing the growing data demands of AI and HPC workloads. Google Cloud’s session on AI platforms and infrastructures showcased innovative approaches with Kubernetes at the core, paving the way for accessible and powerful AI development and deployment.
Google Cloud Talks AI Trends at AIFD4
During AI Field Day 4, Google Cloud positioned AI as the next major platform shift, emphasizing its role following the internet and mobile, and highlighted their impressive data store capabilities including every search query since the inception of their browser. Google Cloud’s adoption of generative AI and the introduction of Google Gemini and DeepMind’s open model Gemma signal a strong continuation of their open-source ethos, enhancing AI scalability and accessibility. As noted by Allyson Klein in this article, the presentation also underscored Google’s commitment to supporting a diverse AI ecosystem, showcasing extensive compatibility across major silicon platforms, even as the event focused on Intel’s technology.
Google Cloud at Intel Day @ #AIFD4
At AI Field Day, Google Cloud’s Brandon Royal presented insights into AI platforms and infrastructure, emphasizing the shift from the internet to mobile and AI. He introduced Gemini, Google’s multi-modal model, and unveiled Gemma, a family of lightweight models. Royal discussed safety measures and highlighted GKE’s role in AI, covering CPUs, GPUs, and TPUs. A demo showcased Gemma on GKE supporting 8K tokens. Ameer Abbas, Senior Product Manager at Google Cloud, focused on Developer and Operational Productivity with Duet AI, demonstrating code development and transformation capabilities for enterprise builders and developers. Read more in this LinkedIn Pulse article by Gina Rosenthal.
Entering Google Cloud With NetApp
This past September, we brought in delegates to participate in the Tech Field Day Exclusive with NetApp and guest speakers from Google Cloud! In her post, Sulagna Saha talks about the key topics that were focused on during this discussion, such as multi-cloud use cases and how customers are leveraging NetApp’s GC integrated file service to run their workloads on Google Cloud. Check out the Gestalt IT website for more from Sulagna!
Everything New With Storage This Quarter on Google Cloud
Sulagna Saha, writing for Gestalt IT, dives into Google Cloud and their latest presentation at Cloud Field Day. Check out her thoughts on the Google Cloud Platform on the Gestalt IT website and be sure to check out all of the presentations from Cloud Field Day on the Tech Field Day website!
Cloud Field Day 15 – Day One
Field Day delegate, Nathan Bennett, is joined by delegate, Eric Wright to discuss the first day of September’s Cloud Field Day. In this video, they both go into detail on presentations from Prosimo, Google Cloud, and Kentik. If you want to learn more, watch the video here, or visit Nathan’s YouTube channel.
Tech Field Day 21: Google’s VMware Managed Service
The LinkedIn explores Google Cloud’s new VMware Engine, as presented at Tech Field Day 21. The VMware Engine runs on high-performance hardware with 100 Gbps networking, and offers benefits like seamless migration, easy scaling, Rapid innovation, and self-service experiences. The author praises the offering’s ease of provisioning, its lift-and-shift capabilities, and its integration with other Google Cloud services, while noting that operational responsibilities like backup & DR, and monitoring would still be customer-responsibilities.
Google Cloud
Google Cloud is widely recognized as a global leader in delivering a secure, open, intelligent, and transformative enterprise cloud platform. Our technology is built on Google’s private network and is the product of nearly 20 years of innovation in security, network architecture, collaboration, artificial intelligence, and open source software. We offer a simply engineered set of tools and unparalleled technology across Google Cloud Platform and G Suite that help bring people, insights, and ideas together. Customers across more than 150 countries trust Google Cloud to modernize their computing environment for today’s digital world.
California’s Latest Gold Rush – Google and Intel Dig in to Tap the AI Business Market Seam
Intel’s Data-Centric Innovation Day had no dearth of prominent announcements. So much so that some with the biggest impact might have gotten lost in the media narrative. Kurt Marko thinks one of the major announcements was Intel integrating AI-optimizations into their new Scalable Xeons with DL Boost. This allows Intel to use their x86 data center dominance into AI inferencing engines. For a deeper dive into this, be sure to check out the full video from our Tech Field Day Exclusive at the event.
