This article provides a practical, strategic framework for maximizing ROI from Databricks. It outlines why many organizations underperform with the platform and offers a 3-pillar approach—optimizing infrastructure, accelerating workflows, and aligning teams—to transform Databricks from a high-cost tool into a high-impact business asset.
As these organizations explore cloud options, a key consideration is how to integrate their existing VMware environments with cloud services without undergoing extensive re-platforming. Amazon Elastic VMware Service (EVS) is designed to address this need by allowing users to run their VMware workloads natively on AWS.
Transitioning from VMware to Kubernetes can feel overwhelming, but it doesn't have to be. Just like updating old furniture, you don’t need to throw everything out at once. This blog explores a practical, phased approach to modernization, helping you navigate from legacy systems to cloud-native infrastructure.
Kubernetes (K8s) and containers have become just about every developer’s bread and butter for building, deploying, and scaling applications. But let’s be real—using K8s in the cloud-native race isn’t always a walk in the park. In fact, even though K8s automates a lot of the heavy lifting, there are still plenty of ways to stumble.
In the fast-paced world of green energy, where the ability to adapt is crucial, Databricks provides them with the tools and flexibility they need to stay ahead of the curves in the supply and demand landscape.
In the world of enterprise data management, text-to-SQL technology, while helpful, is it simply not enough for today’s complex data environments?
Learn from the recent major outage affecting IT and Security teams worldwide. Discover essential steps for rigorous system assessments, risk management, and business continuity planning to enhance your organization's security posture.
Uncover the risks of openwashing in AI tools like ChatGPT. Learn about the Linux Foundation's new tools for ensuring model transparency and protecting your interests.
CGDevX has always been about making things easier and more reliable for developers, and today we're announcing the release of the CGDevX Cloud Application Starter Kit (CNASK).
OpenAI, Google, and Meta streaking towards multimodal AI, enabling more human-like interactions and revolutionizing various applications.
Delve into the cost analysis of running AI compute resources independently versus utilizing hosted models. Learn about AWS pricing for GPU instances and consider factors like workload scheduling and hardware options.
Learn to harness the full potential of Meta's Code Llama in your coding workflow. Explore step-by-step instructions for using Code Llama directly within your favorite IDE and discover the benefits of local and cloud-based setups. Level up your coding game with Code Llama today!
How CGDevX, the open-source tool for platform engineering reference implementation from CloudGeometry, paves a golden path forward from DevOPs with its latest update, integrating workload management to streamline software delivery and application modernization. Its a modular, GitOps-driven approach enables enhanced operational efficiency and reliability.
Explore how Meta's Code Llama AI tool enhances coding workflows, from code generation to bug identification. Learn how it benefits developers of all levels and its technical superiority over other models...
CloudGeometry CEO
:
"In today's rapidly evolving business landscape, understanding the fundamentals of AI Agents is no longer optional for technology, product and business leaders."
