Latest Posts
5 Steps to Making Your Multi-Cloud Strategy Actually Work
Multi-cloud was pitched as the answer to vendor lock-in. Spread your workloads across providers, the thinking went, and you'd get flexibility, leverag…
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Time to Face Facts: Retailers are Becoming Tech Companies
Have you ever noticed how shopping has evolved from a simple trip to the store to a fully immersive, tech-infused experience? Today’s consumers are se…
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The Biggest Takeaways from Microsoft Ignite: What the AI-First Enterprise Really Requires
Microsoft Ignite made one thing unmistakably clear: we’re entering the era of the AI-first enterprise. Every product, every workload, and every piece …
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Workload RISC: Big Endian Conversion While Migrating to Azure (AIX/Solaris Host OS)
One of the most ‘untouchables’ of the ‘untouchable’ workloads are AIX and Solaris hosted. These are the traditional ‘Big Iron Unix’ go-to platforms fo…
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Throughput vs IOPS: Navigating Cloud Performance in 2024
As businesses continue their digital transformations, cloud migration remains a critical priority. Whether you’re an emerging cloud-native startup or …
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How Franciscan Health is Using Silk to Revolutionize Patient Care
Franciscan Health, a 12-hospital system serving communities from Indianapolis to Chicago, is leveraging cutting-edge technology to enhance its operati…
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NVIDIA CEO Says Real-Time Inference Is the Future of AI. Silk Can Help You Get There on AWS
If you listened to Jensen Huang’s recent interview on Stratechery, one thing is abundantly clear: AI has officially crossed the threshold from experim…
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What is Cloud Performance?
Cloud performance refers to how well your applications, workloads and databases operate on the cloud. Your underlying cloud infrastructure should supp…
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Cloud Storage for AI: Key Considerations, Options, and How to Choose the Best Fit
Artificial intelligence (AI) is only as good as the data it runs on. Whether you’re training massive language models, fine-tuning predictive algorithm…
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5 Challenges of Migrating Oracle Workloads to Azure
The Oracle database is widely used around the globe for mission-critical applications and migrating Oracle workloads to the public cloud requires sign…
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Unlocking Database Performance: Tips for Optimization
Data is at the core of every business application. Because of this, database performance optimization is crucial for you and your team. Optimization b…
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Hybrid Cloud Latency
This blog post will discuss Hybrid Cloud Latency, namely:
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Is Your Database Infrastructure Ready for AI?
Artificial intelligence runs on data — but not just any data. The most valuable insights often come from relational databases such as Oracle, SQL Serv…
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Optimizing Performance in Cloud Databases: Tips and Techniques
Data has become the lifeblood of organizations. Managing vast amounts of data efficiently is critical for business success. Cloud databases have emerg…
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The Struggle of Poor Cloud Storage Performance
Poor storage performance is one of the most significant challenges organizations face when managing data in the cloud, and it directly affects the use…
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How Strong Partnerships Power Real Results: Celebrating Technologent and Silk’s Partner Ecosystem
At Silk, we believe the best outcomes happen when technology innovation is paired with strong, empowered partnerships. This year at Silk’s Sales Kicko…
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The Fundamentals of SaaS Architecture Design
Looking to make the change from an on-prem solution to a Software as a Service (SaaS) offering? Your SaaS applications will be a set of services and f…
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All About Data in the Zettabyte Era
In today’s digital world data is the most precious commodity. According to Statista about 181 zettabytes of data will be created in the year 2025 and …
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Understanding Data Replication to the Cloud
This blog will discuss data replication to the cloud, namely:
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5 Essential Tips for Analyzing and Optimizing Your Cloud Storage Costs with Silk
Cloud storage is a core component of modern IT infrastructure, powering everything from enterprise applications to AI workloads. But as organizations …
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Application Migration to the Cloud – Challenges and Best Practices
The landscape of digital transformation is witnessing a significant surge in organizations migrating to the cloud, a trend that underscores the strate…
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How to Unlock Database Performance in the Cloud Without Overspending
For many database teams, the cloud promised limitless scalability and performance on demand. But in practice, it often delivers something far more fru…
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The AI Readiness Checklist: 10 Essential Steps for Success
Artificial Intelligence (AI) is revolutionizing industries, from healthcare to finance, but many organizations struggle with where to start. Simply in…
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Comparing Cloud Storage Options on Microsoft Azure: Silk vs. Azure NetApp Files
When it comes to optimizing Microsoft Azure for enterprise databases like SQL Server and Oracle, choosing the right cloud storage can be the differenc…
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The Complete Guide to Software-Defined Cloud Storage
In today’s data-driven world, organizations need faster, more flexible, and more cost-effective ways to store and manage their data in the cloud. Ente…
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5 Cloud Strategies for Managing Mission-Critical Data in the Age of AI
As artificial intelligence (AI) adoption accelerates, enterprises are facing a new set of challenges. AI workloads are complex, unpredictable, and dat…
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Azure BlobFuse for Oracle RMAN Backups
Operationalizing an Oracle database on Azure IaaS includes setting up an RMAN backup schedule much like the backup patterns used on premises. This is …
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AI Agents in the Oracle Analytics Ecosystem
Editors Note: This blog post originally appeared on the Elffar Analytics blog
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Accelerating HealthEquity’s Cloud Journey with Silk
Silk recently interviewed Mervyn Lally, CIO at HealthEquity, to discuss the company’s strategic initiatives to modernize its technology stack and migr…
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Why Overprovisioning Is the Silent Killer of Your Cloud Budget
If your cloud bill seems to keep rising no matter how many optimizations you make, you’re not alone. Most enterprises are unknowingly paying for far m…
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Overcoming Cloud Database Storage Challenges
In today’s digital landscape, cloud databases have become essential for supporting scalable, flexible infrastructures. While these systems provide sig…
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Ensuring Data Resiliency in Cloud Databases: Best Practices, Tips, and Techniques
Data is at the heart of every organization’s operations and decision-making process. Rapid adoption of cloud computing, storing and managing data in c…
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Relational Systems Will House the Majority of AI Data
With the rise of Artificial Intelligence (AI) and the proliferation of data lakes and object stores, some speculate that the era of large relational d…
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Modernizing the Insurance Industry: Trends, Challenges, and Solutions
In today’s rapidly evolving world, the insurance industry is undergoing a significant transformation driven by technological advancements, shifting cu…
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How Silk Helps Enterprises Reduce Cloud Costs with Microsoft Azure Laosv4 VMs
For most enterprises, the cloud promise is simple: scale faster, innovate more, and pay only for what you use. But as workloads grow – particularly AI…
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What It Actually Takes to Scale AI in Healthcare: Lessons from Sentara Health’s CTO
At ViVE, one theme was everywhere: AI.
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Pushing the Limits of High-Performance AI Vector Search with Postgres on Silk
In my last blog post I wrote about AI-enhancing your existing applications with low risk – and without a huge upfront effort to see if there’d even be…
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The Steps To a Successful Azure Cloud Migration Process
Microsoft Azure is one of the most widely used public clouds available. But if you are moving your largest, most complex workloads to Azure, there are…
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Reducing the Risk of Cloud Downtime
What is Cloud Downtime? Cloud downtime is a disruption in cloud-based services. As more companies are choosing to migrate to the cloud, any disruption…
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Unlocking Enterprise Data: Silk and Ironbook.ai Partner to Accelerate Agentic AI Across APJ
The Asia-Pacific and Japan (APJ) region is at a critical turning point in the global AI race. Organizations from Singapore to Tokyo are eager to move …
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How I Achieved 20 GiB/s I/O Throughput in a Single Cloud VM
This post was originally published on tanelpoder.com and has been reprinted here with the author’s permission.
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Assessing Your Application’s Cloud Readiness: A Step-by-Step Guide
As cloud computing continues to dominate the tech landscape, businesses are increasingly looking to migrate their applications to the cloud. But befor…
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Why Performance Becomes the Bottleneck in AWS at Scale
Executive Summary This post covers two patterns every AWS platform team eventually encounters, where AWS’s defaults end, and what deliberate architect…
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Copy That: How Silk Revolutionizes Dev/Test Efficiency
For CTOs, CIOs, and data architects, the challenge of balancing development velocity with infrastructure costs has never been more critical. As organi…
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Optimizing Data Strategy for AI and Analytics in Oracle ADW: Reducing AI Cloud Storage Costs with Silk
The Growing Challenge of Data Duplication in AI and Analytics As enterprises increasingly adopt AI-driven analytics, the demand for efficient data acc…
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The Hidden Cost of Agentic AI: The Production Database Bottleneck
The rise of Agentic AI is transforming the analytics landscape, but it comes with an often-overlooked challenge: database strain. Traditionally, opera…
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What is Overprovisioning and How Does It Happen?
Determining the number of cloud resources that your organization needs is a balancing act. On the one hand, if you don’t budget for enough, you’ll fin…
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Never Price a Cloud By Its Cover
The Silk Platform is designed to optimize database workloads by virtualizing native cloud resources to offload and accelerate applications. Since Silk…
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Total Cost of Ownership for SQL Databases in the Cloud
Companies are moving their data to the cloud to innovate and take advantage of the cloud’s on-demand resources, availability, and elasticity. And ther…
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Unlock AI Innovation By Boosting Existing Apps with Risk-Free Vector Search
The reason I am excited about the latest genAI and vector search developments is that you can “plug in” these new technologies into your existing appl…
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Traditional vs. Software-Defined Cloud Storage: What’s the Difference?
As organizations generate and store more data than ever before, choosing the right storage solution has become critical. Two common options are tradit…
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Simplifying Data Operations: Best Practices for Cloud Database Snapshots
In today’s fast-paced digital landscape, data is the lifeblood of businesses. The ability to manage, protect, and analyze data efficiently is crucial …
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How SimCorp Turned its Software into SaaS and You Can Too!
In the rapidly evolving landscape of cloud computing, companies face critical decisions regarding their SaaS architecture. Navigating these challenges…
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Cloud Snapshots: Use Cases, Challenges, and How to Use Them Effectively
In today’s information-driven world, we operate at the speed of data. The success of many great businesses is due to how quickly they and their teams …
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Are You Ready for the AI Data Tsunami?
Artificial intelligence isn’t just transforming how we build and operate—it’s also redefining how we store, manage, and move data.
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Silk and the Opportunity Ahead
I’m excited to share that I have joined Silk’s Board of Directors, a company that I believe is redefining the possibilities for businesses in the clou…
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Considerations for Oracle Database on Azure
When it comes to running Oracle databases in the cloud, most people immediately think of Oracle Cloud Infrastructure (OCI). However, Oracle databases …
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Transforming Patient Care with AI: How Sentara Health Leverages Silk’s Virtual SAN For AI
In the fast-evolving healthcare landscape, innovation is not just an option – it’s a necessity. Sentara Health, a leading healthcare provider with 12 …
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Copy Data Management: The Challenges, Benefits and How Silk Simplifies the Process
As your business grows and your data needs expand, more and more teams become consumers of your data. What was once the domain of ITOps has expanded t…
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Cost Efficiency and Scalability: The Economics of Cloud Databases
Having the ability to do infinite scaling sounds ideal. Infinite resources also means the potential for infinite costs. With today’s data-driven appli…
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Cloud Performance Testing – What It Is, Benefits, Types, and Strategy
This blog will talk about cloud performance testing, specifically:
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The Top 5 IT Challenges Happening in Healthcare: Insights from ViVE 2026 in LA
ViVE 2026 in Los Angeles brought together healthcare IT leaders from across the country — and what stood out most wasn’t hype, it was reality. Convers…
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Unlock the Future of Insurance Data with DataVail, Silk, and Azure
In today’s fast-paced insurance environments, leveraging advanced technologies to extract deeper insights from data is crucial. Many insurance compani…
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Operating and Optimizing SaaS Applications
You’ve designed your system, and you’ve deployed your SaaS application. Now what? This is where your focus shifts to optimization and tuning. Even a f…
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Top 5 Data Center Migration Challenges and Solutions
More and more organizations are looking to move their most important data to the cloud and off of on premise data centers. But the process of doing so…
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What is AI Inference – and How Silk Enables It in Real Time
Ever been amazed when your bank spots fraud in real time, or your favorite app seems to know exactly what you want next? That’s AI inference in action…
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Understanding Snapshots, Views, Clones, and Data Efficiency With Silk
Traditional copy data management approaches often rely on cumbersome and storage-intensive methods — such as full data replication — to create multipl…
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Testing the Silk Platform – Hands-on Technical Analysis of High Performance I/O in the Cloud
Tanel Poder Database consultant & performance geek Co-author Expert Oracle Exadata tanelpoder.com
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Scaling Postgres AI Workloads Even Further with Google AlloyDB Omni on Silk Platform
Background and Motivation For the previous articles in this series, I tested Silk Platform’s capabilities in multiple contexts, both its raw performan…
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5 Lessons From eToro's Azure Migration Every Cloud Infrastructure Leader Should Steal
Milliseconds are money at eToro. So when the trading platform serving millions of customers decided to leave on-prem hardware behind for Azure, the st…
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The Teams That Stopped Waiting for the Order That Never Ships
It's the Tuesday before a release, and QA needs one thing: a full, current copy of production to test the last set of changes against. In a normal yea…
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How eToro Moved a 24/7 Trading Platform to the Cloud Without Losing a Millisecond
eToro isn’t a young company, and it isn’t a small one. With millions of customers trading around the clock — including a heavy volume of cryptocurrenc…
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AI inference is becoming a data infrastructure problem
Enterprise AI is moving fast — from simple chatbots and proof-of-concept demos to autonomous agents, RAG applications, and production-grade inference …
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How Silk Delivers What Native Cloud Storage Can’t
This is the first in a series of blog posts about what differentiates Silk in the market — and how Silk can help your enterprise transform the way you…
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Your Database Doesn’t Know What an Agent Is
This article originally appeared on FlashDBA
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The Cloud Is Built on Uniformity. Databases Are Not
This article originally appeared on FlashDBA
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The Application Layer Used to Protect You. Now It Can’t
This article originally appeared on FlashDBA
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Your Database Was Sized for Humans. The Bill Arrives When Agents Connect
This article originally appeared on FlashDBA
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AI Can Replace Interfaces, Not Systems of Record
This article originally appeared on FlashDBA
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You Won’t See Failure First. You’ll See Cost
This article originally appeared on FlashDBA
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AI Doesn’t Read Dashboards… and That Changes Everything for Databases
This article originally appeared on FlashDBA
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AI Agents Don’t Just Add Load. They Change Its Shape
This article originally appeared on FlashDBA
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The Brake Was Human. Now It’s Gone
This article originally appeared on FlashDBA
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Decades of Change Management. None of It Was Built for Agentic AI
This article first appeared on FlashDBA
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Something New Has to Sit Between Agents and Databases
This article originally appeared on FlashDBA
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Transactions Assume Intent. Agents Don’t Guarantee It
This article originally appeared on FlashDBA
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Enterprise Architecture Quietly Depended on Humans in Far More Places Than We Realised
This article originally appeared on FlashDBA
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The Audit Trail Was Your Ground Truth. It Isn’t Anymore
This article originally appeared on FlashDBA
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Inferencing Is a Database Problem Disguised as an AI Problem
This article originally appeared on FlashDBA
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What Enterprise Buyers Miss When Evaluating Cloud Storage
Most cloud storage evaluations follow a familiar script: compare IOPS ceilings, check SLA uptime percentages, benchmark a few workloads in a staging e…
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Seven Key Takeaways from FinOps X: How AI Has Changed Everything
FinOps X delivered a clear message this year: the discipline you built to manage cloud spend is no longer sufficient on its own. AI was the overarchin…
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Your CFO Will Ask for the ROI on Silk. Here It Is: 138%, $6.4M, Payback in Under 6 Months.
At some point in every infrastructure investment cycle, the conversation shifts from capability to accountability. It doesn’t matter how compelling th…
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Introducing the Silk Cloud Data Platform: The New Rules of the Cloud
The cloud is the best thing to happen to business in a long time.
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The People Driving AI Don’t Own the Systems It Overwhelms
This article originally appeared on FlashDBA
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A 17-Hour Database Refresh in 15 Minutes. Storage Costs Cut in Half. This Is How Silk Works.
Imagine telling your DBA team that the environment refresh they run every night — the one that takes 14 to 17 hours and bleeds into the start of the w…
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Why We Spent 20 Years Protecting Databases from Analytics (and Why AI Just Broke That Truce)
This article originally appeared on FlashDBA
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Databases Were Built for Humans – AI Agents Change the Equation
This article originally appeared on FlashDBA
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The Hidden Cost of Letting AI Agents Query Live Systems
This article originally appeared on FlashDBA
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12 Ways Silk Echo Supercharges AI and Modern Workflows
Organizations are racing to harness the transformative power of artificial intelligence. From training machine learning models to powering advanced an…
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When Data Performance Becomes a Patient Care Issue
For decades, healthcare IT leaders have evaluated data infrastructure through an operational lens – cost, efficiency, and compliance. Healthcare data …
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