Google Cloud Platform

Active Assist uses AI and advanced analytics to make recommendations that help developers optimize their applications for cost, security, sustainability, and more.

Organizations must modernize their software delivery to stay competitive.

Machine learning (ML) is becoming a core part of every modern application. In this session, learn how Cloud Bigtable supports ML stacks for large-scale services, both inside and outside of Google.

Generative AI is empowering developers to build new user experiences directly into their existing applications by leveraging pretrained models and without requiring machine learning expertise.

Many enterprise IT organizations have infrastructure efficiency initiatives aimed at cutting costs and reducing environmental impact. Savvy customers use AI to drive these efforts.

Organizations have been searching for optimal ways to store and analyze vast amounts of structured, unstructured, and semistructured data to handle the increasing volume, latency, resilience, and

You can customize models for your use case by using your own data to tune models.

Terraform is an integral component of many teams’ infrastructure and applications. It’s also core to Google Cloud, as we use it to build and operate our resources as infrastructure as code.

Currently running Kubernetes in public clouds or thinking of moving workloads to Kubernetes in clouds?

Join this session to learn how Cloud Workstations enables cloud-based development in a secure manner, expediting developer onboarding and improving developer productivity while strengthening the

Learn how you can quickly and easily build applications in environments with predefined controls and guardrails to meet global regulatory compliance requirements.

Finding the right foundation model for your use case can be a daunting task, and the difficulty of managing large models prevents most organizations from using these models effectively, if at all.

Applying the principles of circular economy to software development lays foundations for sustainable behavior for product-focused organizations.

In today’s fast-paced world, businesses need to make decisions quickly.

Earlier this year, we announced Duet AI in Google Cloud, a new generative AI-powered collaborator, to help cloud users of all skill levels solve their everyday work challenges.

PostgreSQL is one of the most popular open-source databases in the world. Users love PostgreSQL because of its rich capabilities, enterprise readiness, and community participation.

Data transformation is harder to do with siloed warehouses and technologies.

In this digital-first era, data analytics continues to be at the core of driving differentiation and innovation for businesses.

PostgreSQL is one of the most popular databases in the world, and for good reason. But what if it could be faster, cheaper to run, and easier to manage with no application changes?

Organizations looking to innovate and provide the best experience to customers will need to think about how to migrate and modernize databases to reduce complexity, improve agility, and make the

Discover the next generation of Vertex AI Feature Store Now built on top of BigQuery.

When Digital Turbine acquired multiple companies, taking on the complexity of disparate architectures, applications, and data warehouses proved challenging.

According to our latest API Security Research Report, half of organizations have experienced an API security incident in the past 12 months.

Join our interactive powerhouse panel of industry leaders from MongoDB, Databricks, and DataRobot who are leveraging the power of data analytics and AI to drive innovation and business growth for

Data is the fuel that powers businesses. But the more data that businesses collect, the harder it can be to manage.

Sidecars in Cloud Run allow users to run additional workloads alongside the main container in Cloud Run.

As you build and scale services, having the right tagging strategy can prevent your services from becoming chaotic and unmanageable.

Learn from the experiences of Google Cloud users and Google experts on how to best use Google Cloud resources to set up your project for success from the start.

Today, open source is everywhere.

As enterprises deploy more modern applications in Google Cloud, they are presented with new ways of using and optimizing storage.