A New Way to Explore What’s Possible with Google Maps Platform
For more than 15 years, developers have used Google Maps Platform to deliver location-based experiences to their end users and used location intelligence to optimize their businesses. Along this journey, Google Maps made a variety of changes to better support our community as needs have…
Meet the Next Generation of Mobile-Optimized Maps
A customized map can be key to delivering a frictionless experience that engages users and sets you apart in users’ minds–whether you’re a real estate company fine-tuning points of interest (POIs) on a map to help buyers decide where to live, or a regional pharmacy…
Best Practices for Mitigating Ransomware Attacks using Google Cloud
Code that was created by a third party to infiltrate your systems to hijack, encrypt, and steal data is referred to as ransomware. To protect your enterprise resources and data from ransomware attacks, you must put multi-layered controls in place across your on-premises and cloud…
Service Meshes in a Microservices Architecture
What are the new problems in microservices architecture? Companies are increasingly adopting microservices, containers, and Kubernetes. The need to modernize, and the need to increase developer productivity, application agility, and scalability drives this increase. Many organizations are also venturing into cloud computing and adopting a…
What is Microservices Architecture?
Microservices architecture (often shortened to microservices) refers to an architectural style for developing applications. Microservices allow a large application to be separated into smaller independent parts, with each part having its own realm of responsibility. To serve a single user request, a microservices-based application can…
Architecture: Scalable commerce workloads using microservices
Retail commerce requirements and microservices Retail commerce workloads require a number of cloud-native features in order to meet demand from an ever-growing number of consumer devices and platforms: Typically, these deployments must be multi-region to serve a global customer base. They must support some degree…
Using GPUs for Training Models in the Cloud
Graphics Processing Units (GPUs) can significantly accelerate the training process for many deep learning models. Training models for tasks like image classification, video analysis, and natural language processing involves compute-intensive matrix multiplication and other operations that can take advantage of a GPU’s massively parallel architecture….
Tokopedia’s journey to creating a Customer Data Platform (CDP) on Google Cloud Platform
Founded in 2009, Tokopedia is an ecommerce platform that enables millions of Indonesian to transact online. As the company grows, there is an urgent need to better understand customer’s behavior in order to improve the customer’s experience across the platform. Now, Tokopedia has more than…
Managing ML data sets with Vertex AI
Many enterprises want to use data to make meaningful predictions that can bolster their business or help them venture into new markets. This often requires using custom machine learning models—something not every business knows how to create or use. This is where Vertex AI can…
Use Deep Learning VM Images and Deep Learning Containers with Vertex AI
Deep Learning VM Overview Deep Learning VM Images is a set of virtual machine images optimized for data science and machine learning tasks. All images come with key ML frameworks and tools pre-installed. You can use them out of the box on instances with GPUs…
Categories
Recent Posts
- Dataproc Serverless: Now faster, easier and smarter
- Tips and tricks for project management with Google Workspace
- Doubling calculation speed and other new innovations in Google Sheets
- Continued growth and success in the competitive logistics market
- How to get started with new Gemini model capabilities for Places API
Recent Posts
- Dataproc Serverless: Now faster, easier and smarter
- Tips and tricks for project management with Google Workspace
- Doubling calculation speed and other new innovations in Google Sheets
- Continued growth and success in the competitive logistics market
- How to get started with new Gemini model capabilities for Places API
Categories
- Article (503)
- Case Studies (27)
- News (59)
- Press Release (21)
- Training (1)
- Uncategorized (4)
Recent Comments
Archives
- November 2024
- October 2024
- September 2024
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- August 2023
- July 2023
- June 2023
- May 2023
- April 2023
- March 2023
- February 2023
- January 2023
- December 2022
- November 2022
- October 2022
- September 2022
- August 2022
- July 2022
- June 2022
- May 2022
- April 2022
- March 2022
- February 2022
- January 2022
- December 2021
- November 2021
- October 2021
- September 2021
- August 2021
- July 2021
- June 2021
- May 2021
- April 2021
- March 2021
- February 2021
- December 2020
- November 2020
- October 2020
- August 2020
- July 2020
- June 2020
- February 2020
- January 2020
- December 2019
- May 2016