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CORE
Director of Data and AI at Silk
Company website: https://silk.us
With over two decades of dedicated experience in the realm of relational database technology and proficiency in diverse public clouds, Kellyn, as the Director of Relational Systems and AI at Silk stands as a beacon of technical brilliance in the industry. Delving deep into the intricacies of databases early in their career, she has developed an unmatched expertise, particularly in Oracle on Azure. This combination of traditional database knowledge with an insight into modern cloud infrastructure has enabled her to bridge the gap between past and present technologies, and foresee the innovations of tomorrow. In her position at Silk, she is not just a guardian of the company's technical direction but also an innovator, always on the lookout for the next big breakthrough. Her role is far-reaching, encompassing the ideation and execution of complex engineering solutions, ensuring that Silk remains at the forefront of technology. Beyond internal responsibilities, she works to have a profound external presence. Recognized globally as an influential voice, she is taking to stages across the globe, speaking on a range of technical topics. Whether it's a keynote at a premier tech conference or an intimate workshop for budding engineers, her ability to translate complex concepts into relatable insights is unparalleled. She maintains a popular technical blog called DBAKevlar, (http://dbakevlar.com). Kellyn has authored both technical and non-technical books, having been part of numerous publications around database optimization, DevOps and command line scripting. This commitment to sharing knowledge underlines her belief in the power of community-driven growth.
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Security
Core PostgreSQL
Cloud Native
Cloud native has been deeply entrenched in organizations for years now, yet it remains an evolving and innovative solution across the software development industry. Organizations rely on a cloud-centric state of development that allows their applications to remain resilient and scalable in this ever-changing landscape. Amidst market concerns, tool sprawl, and the increased need for cost optimization, there are few conversations more important today than those around cloud-native efficacy at organizations.Google Cloud breaks down "cloud native" into five primary pillars: containers and orchestration, microservices, DevOps, and CI/CD. For DZone's 2024 Cloud Native Trend Report, we further explored these pillars, focusing our research on learning how nuanced technology and methodologies are driving the vision for what cloud native means and entails today. The articles, contributed by experts in the DZone Community, bring the pillars into conversation via topics such as automating the cloud through orchestration and AI, using shift left to improve delivery and strengthen security, surviving observability challenges, and strategizing cost optimizations.
Enterprise AI
Artificial intelligence (AI) has continued to change the way the world views what is technologically possible. Moving from theoretical to implementable, the emergence of technologies like ChatGPT allowed users of all backgrounds to leverage the power of AI. Now, companies across the globe are taking a deeper dive into their own AI and machine learning (ML) capabilities; they’re measuring the modes of success needed to become truly AI-driven, moving beyond baseline business intelligence goals and expanding to more innovative uses in areas such as security, automation, and performance.In DZone’s Enterprise AI Trend Report, we take a pulse on the industry nearly a year after the ChatGPT phenomenon and evaluate where individuals and their organizations stand today. Through our original research that forms the “Key Research Findings” and articles written by technical experts in the DZone Community, readers will find insights on topics like ethical AI, MLOps, generative AI, large language models, and much more.
Database Systems
This data-forward, analytics-driven world would be lost without its database and data storage solutions. As more organizations continue to transition their software to cloud-based systems, the growing demand for database innovation and enhancements has climbed to novel heights. We are upon a new era of the "Modern Database," where databases must both store data and ensure that data is prepped and primed securely for insights and analytics, integrity and quality, and microservices and cloud-based architectures.In our 2023 Database Systems Trend Report, we explore these database trends, assess current strategies and challenges, and provide forward-looking assessments of the database technologies most commonly used today. Further, readers will find insightful articles — written by several of our very own DZone Community experts — that cover hand-selected topics, including what "good" database design is, database monitoring and observability, and how to navigate the realm of cloud databases.
Database Systems
Every modern application and organization collects data. With that, there is a constant demand for database systems to expand, scale, and take on more responsibilities. Database architectures have become more complex, and as a result, there are more implementation choices. An effective database management system allows for quick access to database queries, and an organization can efficiently make informed decisions. So how does one effectively scale a database system and not sacrifice its quality?Our Database Systems Trend Report offers answers to this question by providing industry insights into database management selection and evaluation criteria. It also explores database management patterns for microservices, relational database migration strategies, time series compression algorithms and their applications, advice for the best data governing practices, and more. The goal of this report is to set up organizations for scaling success.
