Meeting client timelines and quality standards is a long-standing challenge for Google Cloud Partners, especially when navigating large legacy codebases, unfamiliar languages, and multiple tools.
Partner projects frequently involve code integration across multiple languages — including legacy ones — posing challenges for manual analysis and limiting the effectiveness of automation tools. Further, ensuring reliable error detection is crucial for partners assisting Google Cloud developers.
And despite using DevOps practices for faster solution development, partners rarely have holistic visibility into customer environments, making it harder to minimize errors and expedite delivery.
Today, generative AI (gen AI) is reshaping software development for Google Cloud partners, offering a strategic solution to balance speed, quality, and security. This blog post explores how Google Cloud partners can use Google’s gen AI alongside other Google Cloud services to redefine and enhance DevOps practices.
The Google Cloud Partners gen AI solution: A flexible unified platform
At Google Cloud, we understand that partners need powerful tools with the flexibility to integrate into existing workflows. Our gen AI is integrated across the Google Cloud platform so you can use it to enhance your DevOps practices quickly and efficiently.
For example, Gemini Code Assist completes your code as you write, and generates whole code blocks or functions on demand. Code assistance is available in multiple IDEs such as Visual Studio Code, JetBrains IDEs (IntelliJ, PyCharm, GoLand, WebStorm, and more), Cloud Workstations, Cloud Shell Editor, and supports 20+ programming languages, including Go, Java, Javascript, Python, and SQL.
We always encourage our partners to review our Responsible AI guidelines as they use Google gen AI to enhance DevOps practices.
Now, let’s take a look at how to incorporate generative AI large language models (LLMs) with partner development operations so you can accelerate and transform how you develop solutions for end customers.
Redefining DevOps with gen AI
Most partners have sophisticated in-house development operations tools and processes for their customers. With our new reference architecture, you can modernize software delivery operations further by integrating Google gen AI products into those tools and processes.
The reference architecture below shows gen AI products working in conjunction with Google Cloud products to augment solution development operations for partner engagements.
