Google has announced that it will end its independent Lacros browser effort, which was an experimental Chrome browser that aimed to improve security, stability, and performance on Chromebooks. The effort started in 2020 and was made available for testing in August 2023. Google will instead use large portions of the Android stack going forward, a long-term effort that will take quite some time.

Source: https://9to5google.com/

Google Cloud's Workload Manager helps safeguard SAP systems by providing automated, rule-based analysis to identify potential misconfigurations and deviations from best practices. Configuring and maintaining large-scale deployments in the cloud can be challenging, especially with complex configurations and evolving best practices. This can negatively impact SAP systems and businesses.

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

BigQuery's Gemini foundation model enables users to find data, create SQL, and generate charts using natural language prompts. This model is part of BigQuery Data Canvas, a tool that allows developers, data scientists, and analysts to share query building processes and insights. Users can locate, join, and query table assets using natural language, visualize results, and collaborate.

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

Google Kubernetes Engine (GKE) is a powerful and scalable way to orchestrate containerized applications, but networking complexities can lead to connectivity issues. Common problems include GKE cluster control plane connectivity issues, internal GKE communications, and connectivity between pods within the cluster. Troubleshooting techniques are provided to address these issues.

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

BigQuery data canvas can benefit companies of all sizes by providing a deeper understanding of their developer team's productivity. The example uses the github_repos public dataset to generate valuable insights in a shareable workspace. Data canvas makes it easy to perform complex queries, including joining and unnesting nested fields, converting timestamps, and extracting month/year from date fields.

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

Google Cloud's Contact Center AI Platform (CCAI Platform) is designed to empower agents, streamline operations, and elevate the customer experience. It's a modern, AI-powered contact center solution for businesses, contact center managers, and agents seeking to improve efficiency and customer satisfaction.

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

Digital Manager Guru, an online sales platform, chose Google Cloud managed databases for reliability and scalability. The company's architecture is built with Google Cloud products and services, allowing it to handle 24 million transactions without downtime. The platform integrates payment processors with various sales and business applications, empowering content creators, subscription services, SaaS providers, and event organizers.

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

Google Cloud provides default encryption for customer data at rest, but organizations can gain greater control over their encryption keys with Customer-Managed Encryption Keys (CMEK). CMEK requires manual processes, but Cloud KMS Autokey, now in preview, automates key control operations to make configuration more efficient.

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

Google Kubernetes Engine (GKE) has made recent advancements in its Cluster Autoscaler (CA) feature, enhancing workload performance without requiring additional configuration. These improvements aim to deliver improved performance, reduced latency, and a simpler user experience.

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

Generative AI, including Google's Gemini, can help SREs streamline operational tasks and boost efficiency. To get started, a curated list of resources is provided to gain a foundational understanding of generative AI concepts. This includes explanatory videos and hands-on labs to learn the basics and advanced techniques.

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