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The Year in Google Cloud – 2024

If you’re a regular reader of this blog, you know that 2024 was a busy year for Google Cloud. From AI to Zero Trust, and everything in between, here’s a chronological recap of our top blogs of 2024, according to readership. You’ll probably see some favorites on this list, and discover a few that you missed the first time around. 
January
We started the new year strong, removing data transfer fees for anyone moving data off of our platform. Translation: Anyone doing cool things on Google Cloud (like using generative AI to analyze their microservices deployment) is doing it because they want to, not because they have to. And in business news, we shared how to make the most out of your data and AI in the coming year. 

Cloud switching just got easier: Removing data transfer fees when moving off Google Cloud

Figuring out microservices running on your GKE cluster with help from Duet AI

Transform: Five ways your data can thrive with generative AI in 2024

February
From local GPUs, to model libraries, to distributed system design, the second month of 2024 was the first of many to come where AI topics dominated the charts. Our Transform team explored gen AI’s impact on various industries.

No GPU? No problem. localllm lets you develop gen AI apps on local CPUs

Google Cloud expands access to Gemini models for Vertex AI customers

Coming of age in the fifth epoch of distributed computing, accelerated by machine learning

Your RAGs powered by Google Search technology, part 1

Transform: Putting AI to work: Where gen AI is impacting industries in 2024

March
If it wasn’t already obvious, this month’s top-read blogs showed that our core audience is developers pushing the boundaries of innovation. Business leaders, meanwhile, read about best practices for securely deploying AI on Google Cloud. 

Domain-specific AI apps: A three-step design pattern for specializing LLMs

Announcing Anthropic’s Claude 3 models in Google Cloud Vertex AI

Transform: To securely build AI on Google Cloud, follow these best practices

April
Watch out, here comes Google Cloud Next, where we made a record 218 announcements; the top three are listed here. Readers were also keen to hear about how Citadel Securities built out a research platform on Google Cloud. 

Introducing Google Axion Processors, our new Arm-based CPUs

Powering Google Cloud with Gemini

BigQuery is now your single, unified AI-ready data platform

Transform: How Citadel Securities is reimagining quantitative research on the cloud

May
We don’t always get it right, but when there’s a problem, we’re committed to providing you with accurate, timely information with which to make your own assessments. We’re also committed to making you, and customers like McLaren Racing, go really, really fast when developing new AI-based applications.  

Sharing details on a recent incident impacting one of our customers

RSA ’24: Introducing Google Threat Intelligence: Actionable threat intelligence at Google scale

Announcing Trillium, the sixth generation of Google Cloud TPU

Improving connectivity and accelerating economic growth across Africa with new investments

Transform: AI at the track: How McLaren Racing leverages terabytes of data each race for a winning edge

June
Whether you wanted to modernize your databases, deliver higher system reliability, create really cool AI-powered apps, or learn how legendary companies tackle data management, the Google Cloud blog was your go-to source midway through the year. 

Accelerating cloud transformation with Google Cloud and Oracle

Free to be SRE, with this systems engineering syllabus

Announcing Anthropic’s Claude 3.5 Sonnet on Vertex AI, providing more choice for enterprises

Google Cloud expands grounding capabilities on Vertex AI

Transform: We are Legend: How Goldman Sachs’ open-source data platform democratizes information

July
We talk a lot about “meeting customers where they are.” Sometimes that means a disaster zone, a remote research station, or a truck cruising down the highway. Over on Transform, you read about the history of our custom Axion and TPU chips. 

Bringing cloud and AI capabilities to the tactical edge: Google Distributed Cloud air-gapped appliance is generally available

VMware Cloud Foundation on Google Cloud VMware Engine: 20% lower price and up to 40% in migration incentives

Transform: Why Google keeps building custom silicon: The story behind Axion

Transform: TPU transformation: A look back at 10 years of our AI-specialized chips

August
Just when you thought you knew how to run AI inference, your available graph database options, or the name of Google Cloud’s event-driven programming service, we went and changed things up. We like to keep you on your toes ;) And business readers got a first look at AI agents — more to come on this. 

Run your AI inference applications on Cloud Run with NVIDIA GPUs

GenOps: learning from the world of microservices and traditional DevOps

Real-time in no time: Introducing BigQuery continuous queries for up-to-the-minute insights

Introducing Spanner Graph: Graph databases reimagined

Cloud Functions is now Cloud Run functions — event-driven programming in one unified serverless platform

Transform: So much more than gen AI: Meet all the other AI making AI agents possible

September
You’ve been generating (and storing) business data for years. Now, we’re making it easier for you to make sense of, and actually use, that data. Speaking of using data, the Transform team compiled a jaw-dropping list of the real-world ways customers are using gen AI in their organizations. 

Chat with your business data – Conversational Analytics comes to Gemini in Looker

Find key insights faster with a new contribution analysis model in BigQuery ML

Transform: 185 real-world gen AI use cases from the world’s leading organizations

October
According to this month’s most-read blog, 75% of you rely on AI for at least one daily professional responsibility, including code writing, information summarization, and code explanation, and experience “moderate” to “extreme” productivity gains. So it was no big surprise that business leaders wanted to read about how to develop an AI strategy. 

Highlights from the 10th DORA report

Gemini models are coming to GitHub Copilot

Revolutionizing SQL with pipe syntax, now available in BigQuery and Cloud Logging

BigQuery tables for Apache Iceberg: optimized storage for the open lakehouse

Transform: How to build an effective AI strategy

November
Not content to hold the existing record for most nodes in a Kubernetes cluster (15,000), we went ahead and more than quadrupled it, to the delight of AI unicorns. But whether you work for an AI unicorn, or just a plain old zebra, all Google Cloud users needs to start using multi-factor authentication next year, as well as learn how to avoid comman AI pitfalls. 

65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models

Mandatory MFA is coming to Google Cloud. Here’s what you need to know

Transform: Unlocking gen AI success: Five pitfalls every executive should know

December
We’re closing out the year on an AI highnote, with the availability of amazing new image and video generation models, as well as the new Trillium TPU, which Google used to train Gemini 2.0, our most capable AI model… yet. Be on the lookout for how these technologies — and many others — will reshape your industry and how you work in the coming year. 

Veo and Imagen 3: Announcing new video and image generation models on Vertex AI

Announcing the general availability of Trillium, our sixth-generation TPU

Introducing Google Agentspace: Bringing AI agents and AI-powered search to enterprises

Transform: AI’s impact on industries in 2025

To all our loyal readers and customers, thanks for an amazing 2024, and here’s to an even more exciting and productive 2025!
Quelle: Google Cloud Platform

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Recipe for Efficient Development: Simplify Collaboration and Security with Docker

Collaboration and security are essential for delivering high-quality applications in modern software development, especially in cloud-native environments. Developers navigate intricate workflows, connect diverse systems, and safeguard applications against emerging threats — all while maintaining velocity and efficiency.

Think of development as preparing a multi-course meal in a high-pressure, professional kitchen, where precision, timing, and communication are critical. Each developer is a chef working on different parts of the dish, passing ingredients (code) along the way. When one part of the system encounters delays, it can ripple across the process, impacting the final result. Similarly, poor collaboration or security gaps can derail a project, causing delays and inefficiencies. 

Docker serves as the kitchen manager, ensuring everything flows smoothly, ingredients are passed securely, and security is integrated from start to finish.

Seamless collaboration with Docker Hub and Testcontainers Cloud

Success in a professional kitchen depends on clear communication and coordination. In development, it’s no different. Docker’s collaboration tools, like Docker Hub and Testcontainers Cloud, simplify how teams work together, share resources, and test efficiently.

Docker Hub can be thought of as a kitchen’s “prepped ingredients station.” It’s where some of the most essential ingredients are always ready to go. With a vast selection of curated, trusted images, developers can quickly access high-quality, pre-configured containers, ensuring consistency and reducing the chance for mistakes.

Testcontainers Cloud is like the kitchen’s test station, providing on-demand, production-like environments for testing. Developers can spin up these environments quickly, reducing setup time and ensuring code performs in a real-world setting. 

Effective coordination is critical whether you’re in a kitchen or on a development team, especially when projects involve distributed or hybrid teams. Clear communication ensures everyone is aligned and productive. The Docker suite of products provides the tools that make it possible for companies to more easily break down silos, share resources seamlessly, and ensure alignment — no matter how large your team is or where they work!

By streamlining collaboration, Docker reduces complexity and allows teams to move forward with confidence. With Docker Hub, Testcontainers Cloud, and integrated security features, teams can share resources, track progress, and catch issues early, enabling them to deliver high-quality results on time.

These tools improve efficiency, reduce errors, and help teams move faster through the development inner loop by making collaboration seamless and resource sharing simple.

Integrated security from code to production

Embedding security into every development step is essential to maintaining speed and delivering high-quality software. With Docker, security is embedded into every step of the development process so teams can identify and fix issues earlier than ever.

Docker Scout monitors container images in real-time, identifying vulnerabilities early to ensure your software is production-ready. By identifying and resolving risks early, developers can maintain high-quality standards and accelerate time to market.

Docker also integrates additional security features that work behind the scenes:

Image Access Management (IAM) ensures that only trusted images are used.

Registry Access Management (RAM) restricts access to approved registries.

Hardened Docker Desktop (HDD) strengthens container isolation, protecting against software supply chain risks like malware.

Trusted Content offers developers secure, reliable base images, reducing vulnerabilities in the app’s foundation.

By building security into the workflow, Docker helps teams identify risks earlier, improve code quality, and maintain momentum without compromising safety.

Efficiency in action with Docker

Speed, collaboration, and security are paramount in today’s development landscape. Docker simplifies and secures the development process, helping teams collaborate efficiently and deliver secure, high-quality software faster.

Just as a well-managed kitchen runs smoothly, Docker helps development teams stay coordinated, ensuring security and productivity work together in perfect harmony. Docker removes complexity, accelerates delivery, and embeds security, enabling teams to create efficient, secure applications on time.

Ready to boost efficiency and collaboration in your development process? Explore the Docker suite of products to see how they can streamline your workflow and improve your team’s productivity today. 

To learn more about fueling development efficiency, download our white paper, Reducing Every-Day Complexities for More Efficient Software Development with Docker.
Quelle: https://blog.docker.com/feed/