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Carolyn Weitz

Carolyn began her cloud career at a fast-growing SaaS company, where she led the migration from on-prem infrastructure to a fully containerized, cloud-native architecture using Kubernetes.
Since then, she has worked with a range of companies from early-stage startups to global enterprises helping them implement best practices in cloud operations, infrastructure automation, and container orchestration. Her technical expertise spans across AWS, Azure, and GCP, with a focus on building scalable IaaS environments and streamlining CI/CD pipelines.
Carolyn is also a frequent contributor to cloud-native open-source communities and enjoys mentoring aspiring engineers in the Kubernetes ecosystem.

AceCloud vs AWS for AI Inference: Which Is More Cost-Effective?

Choosing between AceCloud and AWS for AI inference is no longer just about cloud brand or headline GPU pricing or who offers the longest service catalog. The real question is simpler and more important: which platform gives you the lowest reliable cost to serve models in production? Flexera’s 2026 State of the Cloud release says 81% […]

7 Hidden Costs of LMS Downtime During Exams and Results Week

Learning Management System (LMS) downtime during exams and results week is rarely caused by just one failure. Beyond system errors or cyber incidents, factors like peak load, integration gaps and operational missteps can disrupt critical academic workflows without warning. But the real cost is not the outage itself. It is the institutional impact across failed […]

Best Object Storage for RAG: Providers, Costs, Trade-Offs

Retrieval-augmented generation (RAG) is moving from prototypes to production and that makes object storage for RAG a real reliability and cost decision. Deloitte’s 2026 AI report found that 34% of organizations are starting to use AI to deeply transform their business, while another 30% are redesigning key processes around AI. As AI systems become more operational, object storage becomes […]

Storage Tiering Automation for AI Infrastructure

As AI data volumes grow, many teams are overspending on high-performance storage for data that no longer needs it. IDC reported that spending on compute and storage hardware for AI deployments grew 166% year over year in Q2 2025, highlighting how fast infrastructure costs are rising. Relying only on SSD-backed storage can become expensive, while lower-cost storage […]

Lift-and-Shift vs. Refactor Migration: Which Actually Fits Your App?

Choosing a cloud migration strategy is easier when you evaluate a specific application rather than debating cloud adoption in general. For most teams, the real question is lift-and-shift vs refactor and the right answer depends on what the application needs today and what the business expects from it tomorrow. Lift-and-shift helps teams move quickly with minimal code […]

How to Orchestrate Block Storage with NVMe-oF for Low-Latency AI Inference in Hybrid Clouds

Quick Answer To orchestrate NVMe-oF block storage for low-latency AI inference, tier your data (local NVMe hot, NVMe-oF warm, object storage cold), expose the warm tier through a topology-aware Kubernetes CSI driver, keep pods, volumes, and traffic in the same zone, clone pre-warmed volumes for fast scale-out, and monitor p99 latency end-to-end. NVMe-oF block storage […]

Best Vector Databases for LLMs and RAG

Picking the best vector database for GenAI and RAG is a core product decision for AI teams. This is particularly true for teams building search, recommendation, agents, and retrieval-augmented generation across text, images, audio, video, and visually rich documents. A text-only vector store can work for a chatbot prototype. It breaks down fast when your […]

10 Best Kubernetes Tools for Sustainable Multi-Cluster Operations

Kubernetes adoption is no longer the hard part. Running it efficiently across multiple clusters is. CNCF reports that 82% of container users now run Kubernetes in production, which means more teams are operating multiple clusters across hybrid and multi-cloud environments. As adoption grows, platform teams need tools that keep workload scheduling resilient, governance consistent and deployments repeatable across […]

Best Multi-Tenant Kubernetes for Platform Engineering

Multi-tenant Kubernetes is becoming a practical default for platform engineering because it enables shared infrastructure with varying levels of isolation, governance and tenant autonomy. But, not all tenancy models provide the same security boundary. Wiz found AKS clusters face a first attack attempt within 18 minutes, and EKS clusters within 28 minutes of creation. This is exactly why consistent, […]

Single-Cloud vs Multi-Cloud for VMware Migration: How to Choose the Right Model

VMware migration strategy decisions shape how fast you can deliver change, how predictable spend stays and how reliably you can recover from incidents. In this context, choosing single cloud or multi-cloud is not a tooling debate but an operating decision. In a TechRadar’scoverage of CloudBolt research, only 4% have fully migrated off VMware while 63% changed strategy at least […]