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In today’s fast-paced insurance environments, leveraging advanced technologies to extract deeper insights from data is crucial. Many insurance companies rely on Guidewire systems for their on-premises solutions, but the challenge of migrating to the cloud without compromising performance with the limitations of PaaS or SaaS solutions offered, can be daunting. Enter the Guidewire Connector by DataVail and Silk, a groundbreaking solution that opens a world of possibilities with Azure modernization while retaining the same performance achieved on-premises. 

In my Part I blog, I created a baseline and did a couple performance improvement tests with Google’s AlloyDB Omni, on Azure demonstrating the performance benefits of having Silk as the storage layer.  Silk offered the ability to run 23 times faster than native Azure premium SSD in the HammerDB tests and then some minor optimization of the database layer offered another 35% improvement.   

This article was originally posted on DBAKevlar on July 16, 2024.

As cloud computing continues to dominate the tech landscape, businesses are increasingly looking to migrate their applications to the cloud. But before making the leap, it’s crucial to determine whether your application is ready for such a transition. Here’s a comprehensive guide to assessing your application’s cloud readiness. 

In the Age of AI, where data is the new oil, the ability to access information swiftly and reliably is the bedrock upon which businesses build their competitive edge. The velocity of read transactions—a measure of how many data retrieval operations a database can handle per second—has become a critical KPI for any data-driven enterprise. So, let’s dive into why fast read transactions are paramount and how you can turbocharge these speeds to keep pace with the demands of modern applications. 

As we bid farewell to 2023 and usher in 2024, it is the perfect time to explore the upcoming trends in the realms of cloud computing and technology. Throughout the last year, my journey through various industry events and engaging discussions with some of the brightest minds in the field has led to a clear observation: there is a buzz about what is next in technology, and it centers on two pivotal themes. First, there is a growing anticipation around artificial intelligence (AI), with companies rapidly organizing their digital strategies to embrace this wave. Secondly, the increasing prominence of cloud services, specifically Software as a Service (SaaS) and Database as a Service (DBaaS), is reshaping how businesses operate in the digital age. 

In an era where data security and privacy have become paramount, many enterprise companies are seriously reevaluating their reliance on third-party Artificial Intelligence (AI) tools and platforms. While externally sourced tools can offer convenience and rapid deployment, they often come with inherent risks, including potential data leaks, lack of control over data processing, and vulnerabilities to external threats. Therefore, we’re beginning to experience a discernible shift towards the in-house development of generative AI tools among these enterprises. Building proprietary AI solutions provides companies with a dual advantage: a tailored tool that meets specific needs and a more controlled environment ensuring data remains protected and confined within the enterprise’s own security protocols. 

With the rise of Artificial Intelligence (AI) and the proliferation of data lakes and object stores, some speculate that the era of large relational databases like Oracle and SQL Server is coming to an end. However, even though we’ve heard predictions about the decline of Relational Database Management Systems (RDBMS) for years, both Microsoft and Oracle reported record revenues in 2023. So, can we truly rely on these speculations?

When it comes to running Oracle databases in the cloud, most people immediately think of Oracle Cloud Infrastructure (OCI). However, Oracle databases can also thrive on Microsoft Azure, offering a unique set of advantages and challenges. In this blog, we will explore high availability and disaster recovery strategies for Oracle Database on Azure and shed light on some best practices.

In the ever-evolving world of technology, the emergence of groundbreaking partnerships often paves the way for unprecedented advancements and innovations. One such collaboration, breathing fresh life into cloud services, is the recent partnership between tech titans Oracle and Microsoft. The synergy between these two giants is not merely a fusion of technological might but an endeavor to enhance the experience of cloud migration. Within this innovative blend, Silk’s high IO solutions emerge as the keystone, making Oracle migrations into the Azure cloud a seamless and highly effective endeavor for all high IO workloads.