Common Code Future | Provides a superior platform for operating database workloads

Cloud technology can provide organizations with agility and differentiated capabilities

and help save costs

75% of databases are expected to migrate to the cloud this year

Google Cloud helps customers modernize

Migrating from legacy proprietary databases to standardized open source databases

Let's learn about relevant technical updates together

AlloyDB for PostgreSQL: Delivering Superior Performance, Scalability, and Availability

AlloyDB (preview) is a PostgreSQL-compatible database cloud service. It is a new database engine compatible with open source standards for handling top-level relational database workloads. AlloyDB combines the best of Google's technology with PostgreSQL, one of the most popular open source database engines, to deliver exceptional performance, scalability, and availability.

AlloyDB has the following advantages:

● Reliable and highly available: AlloyDB offers a 99.99% uptime service level agreement (SLA), including maintenance. It can automatically detect and recover within 60 seconds of most database failures.
● Strong scalability: up to 4 times faster than standard PostgreSQL for transactional workloads.
● Real-time data analysis: For analytical queries, AlloyDB can be up to 100 times faster than standard PostgreSQL.
● Easier administration with advanced machine learning technology: Simplify administration with an automated, machine learning-enabled Autopilot system that handles database patching, backup, scaling, and replication for you.
● Fully compatible with PostgreSQL: AlloyDB is fully compatible with PostgreSQL, supporting more than 175 flags and more than 50 extensions.
● Intelligence: Bringing the best of Google AI/Machine Learning technologies into the database and pre-integrating Vertex AI facilitates inference in the database, enabling high throughput, low latency enhanced transaction processing. ● Predictable and Transparent Pricing: Transparent and predictable pricing without expensive restrictive license fees and obscure I/O fees.

Scan the code for more details: https://gcp.infoq.cn/article.html?id=5749b284-31f2-4bf4-a080-dc01a86ac5d1

BQML: Helping Simplify Predictive Analytics

BigQuery is an extremely scalable and affordable serverless, multi-cloud data warehouse. BigQuery Machine Learning (BQML) is a feature unique to Google Cloud BigQuery that dramatically simplifies machine learning workflows and makes machine learning easier.

BQML supports the following models and features and can be used in a variety of scenarios

Workflows with Vertex AI The Vertex AI Model Registry can help manage and govern machine learning models.

Improve your cloud skills with Google Cloud learning resources and certifications

With the popularity of cloud technology, developers' demand for cloud skills is increasing. In order to help enterprises and individuals improve their knowledge and skills related to cloud technology and accelerate the process of cloud transformation, Google Cloud has tailored a large number of learning content for market needs, and regularly updates it according to the development and evolution of technology to help developers keep up with the development of cutting-edge technologies trend.

At the same time, Google Cloud Learning Services provides a series of learning paths and certifications to help developers learn relevant knowledge and skills. The new Google Cloud Skills Boost offers more than 700 labs, courses, and certification preparation resources. Developers who complete prescribed experiments can earn corresponding Google Cloud skill badges!

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Explore the infinite splendor of "shared code future"!

Before September 30th, scan the QR code below (please open it in a stable network environment) and complete the "A Tour of Google Cloud Hands-on Labs" experiment to activate the 30-day free access to Google Cloud Skills Boost.