Regarding its product line at Google Cloud Next 25, Google has made multiple announcements. With many of its products imbued with artificial intelligence elements, the corporation delivered updates emphasizing on development and strengthening of the worldwide network infrastructure.
Before developing apps on top of infrastructure components (virtual machines, storage, and networks), traditional cloud models demand teams to manage them. Google claims to center apps rather than infrastructure to help to lower the friction related with that approach.
Currently on public preview, the new Application Design Centre provides developers and platform teams with a visual, collaborative environment to create application templates. From the same interface users can drag and drop components, examine infrastructure-as-code in-line, and deploy. Tracking installations and providing several troubleshooting tools, the tool connects with Google’s App Hub.
An interface for handling applications spanning services and regions is Cloud Hub. It compiles information like system health status, resource utilization, performance, and billing all at one location. Public preview of Cloud Hub also comes via the Google Cloud console.
Extending AI capabilities
Through Gemini Code Assist, Google is embedding generative artificial intelligence into coding processes and cloud management in keeping with its policy stressing AI’s part in application development and maintenance.
Developers environments Android Studio, VSCode, Firebase Studio, and JetBrains now feature Gemini Code Assist integrated. Code Assist will enable automation of documentation, debugging, and code writing chores. The platform can create entire apps from specification documents, according to the business, and translate across programming languages. It will recommend changes and include a kanban interface displaying real-time AI activity.
Firebase Studio offers AI agents for creating app prototypes using user cues, developing backend logic and creating user interface elements for mobile development. Additionally automated on the platform will be test generation and execution.
Gemini Cloud Assist provides infrastructure planning, monitoring, and possible optimization suggestions generated from artificial intelligence. Currently in private preview, a new Investigations tool examines logs, system modifications, and telemetry data to help pinpoint incident or bottleneck sources. Developers can review results or forward them to Google Support teams for more help.
Cost Explorer is a useful dashboard including related expenses. It connects consumption of CPU or memory with expenditure so that teams may find wasted resources and get advice for improvement. The tool can filter by project, service, or resource type and traws thirty days of data.
Constructing a world spine
Google also revealed Cloud WAN, a managed solution meant for companies trying to replace granular SD-WAN settings with MPLS networks. Run on Google’s infrastructure, the service addresses cloud architecture and site-to—-site traffic.
Now in preview, Cross-Site Interconnect is a major capability that offers Layer 2 connectivity across data centers via dedicated 10G or 100G cables. To reduce hops, Google’s Premium Tier network sends traffic through the closest point of presence; it also combines networking and security using Menlo Security and Palo Alto Networks.
Working with third-party vendors including Cisco, Fortinet, and BT, Cross-Site Interconnect is available on use-based and fixed pricing.
Google says the system offers up to 40% less overall cost of ownership than self-managed WANs.
