Zilliz Cloud Now Available on Microsoft Azure
Cloud services are pivotal for developers and businesses in the fast-evolving landscape of modern technology, where data and AI drive innovation. We have exciting news to share for those deeply invested in the Microsoft Azure ecosystem – Zilliz Cloud is now available on Microsoft Azure, making its debut in the azure-east-us region.
This launch empowers Azure-centric developers and enterprises with a critical choice, enabling them to leverage the unique capabilities of Zilliz Cloud. It signifies completing Zilliz Cloud's presence across all major cloud platforms, including AWS and Google Cloud. This translates to effortless deployment and managing vector database workloads, delivering unmatched flexibility and seamless access to Azure's cutting-edge AI services, such as Semantic Kernel, empowering developers to craft astute, forward-thinking solutions.
Our commitment to Azure extends beyond this milestone. Brace yourself for upcoming enhancements, including expansion into new Azure regions, granting you the flexibility to deploy Zilliz Cloud wherever it aligns with your requirements. Soon, you'll also find Zilliz Cloud on the Azure Marketplace, simplifying your management and payment processes. We recognize the paramount importance of security and seamless networking within your Azure environment and remain dedicated to further integration efforts that safeguard your data and optimize application performance.
In summary, the introduction of Zilliz Cloud on Azure, commencing with the US East region, represents a monumental leap forward for developers and businesses entrenched in Microsoft's cloud ecosystem. It offers a vital choice, synergizes seamlessly with advanced AI capabilities, and underscores our unwavering commitment to continuous integration and expansion. Stay tuned as we equip you with the indispensable tools for your vector search and AI endeavors.
Steffi LiSteffi is the Director of Product Marketing at Zilliz, with prior experience leading the GTM strategies for open-source data technologies such as Apache Kafka and Apache Airflow. Passionate about travel, yoga, and non-fiction reading, she brings a balanced and enriched worldview to her professional pursuits.
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