gRPC has emerged as a high-performance communication protocol, offering low latency, efficient serialization, and strongly typed messages. However, most inter-service communications across system boundaries still rely on HTTP APIs due to the contract between decoupled entities. Changing to gRPC would introduce friction, and not all developers are equipped to make the switch.

Source: https://cloud.google.com/blog/

Looker designed a semantic model at its core to define metrics once and use them everywhere, addressing challenges of inconsistent and unreliable metrics. This allows for better governance, security, and trust in data. The company is releasing new BI connectors, including the general availability of its custom-built connector for Table.

Source: https://cloud.google.com/blog/

The Intel MPI Library boosts High Performance Computing (HPC) performance on Google Cloud. Google Cloud offers H3 compute optimized VMs, ideal for HPC, which employs large numbers of computing elements, servers, or virtual machines, communicating via the Message Passing Interface (MPI).

Source: https://cloud.google.com/blog/

Organizations across the public, finance, and manufacturing sectors are adopting cloud technologies while prioritizing digital sovereignty. Google Sovereign Cloud provides comprehensive solutions to meet data, operational, and software sovereignty requirements. Google Distributed Cloud (GDC) brings Google Cloud capabilities closer to where data is generated and used, overcoming challenges related to data location, latency, and connectivity.

Source: https://cloud.google.com/blog/

At Google Cloud, developers can reduce software vulnerabilities by focusing on secure development and using generative AI responsibly. Google has been exploring how AI tools can help secure code, and recently demonstrated how Gemini 1.5 Pro, a powerful multimodal AI model, can help transform code vulnerability detection and remediation. The model was used to reverse engineer and analyze the WannaCry malware in 34 seconds, identifying the killswitch.

Source: https://cloud.google.com/blog/

Hakuhodo Technologies, a technology company of the Hakuhodo DY Group, aims to enhance its software development process to deliver new value and experiences. The IT Infrastructure Team operates cross-functionally to ensure the stable operation of the public cloud that supports diverse services within the group. The team provides expertise and operational support for public cloud initiatives, focusing on excelling in the cloud and infrastructure domain.

Source: https://cloud.google.com/blog/

Cloud SQL Studio is now generally available for MySQL, PostgreSQL, and SQL Server. This tool simplifies database management and delivers AI-powered assistance for query writing. It offers a consistent and intuitive user interface for all databases, regardless of engine, and allows direct connectivity and security for instances.

Source: https://cloud.google.com/blog/

Database infrastructure needs to handle peak loads without compromising performance. Overprovisioning resources is a conventional approach, but it comes with additional cost as most resources remain idle during non-peak hours. Databases are stateful, making it difficult to right-size resources to track actual utilization. This requires prioritizing consistency to meet SLAs.

Source: https://cloud.google.com/blog/

Google Cloud offers centralized resource governance controls to help organizations securely scale their adoption across thousands of projects, APIs, and developers. The custom Org Policy and Policy Controller can help achieve comprehensive governance and compliance at scale and secure Google Kubernetes Engine (GKE) clusters. These controls can strengthen security and support compliance across the entire organization without introducing additional overhead in the development process.

Source: https://cloud.google.com/blog/

Google Cloud's Vertex AI has released new Airflow operators that interact with its generative models, including Gemini. The operators are part of the apache-airflow-providers-google package version 10.21.0. This integration enables users to easily combine Vertex AI's generative models with data pipelines orchestrated by Apache Airflow and Cloud Composer.

Source: https://cloud.google.com/blog/