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.

DPDP Rules for Cloud Service Providers (2026): Compliance Checklist

DPDP rules for cloud service providers are fast becoming the compliance baseline for any business processing personal data on cloud in India. The Digital Personal Data Protection (DPDP) Rules, 2025, under the Digital Personal Data Protection Act, 2023, mark a major shift in India’s privacy governance. As India aligns with global privacy expectations while managing hybrid cloud and outsourced processing, compliance […]

February 5, 2026

10 Load Balancing Strategies for Agentic AI Traffic in Distributed 2026 Environments

Load balancing for agentic AI traffic determines whether your agent experiences stay responsive when real users create spiky, shifting demand. In 2026, agentic systems can turn one request into a plan, tool calls, data lookups, multiple model runs and retries across services. Meanwhile, AI agents coordinate actions across regions, Kubernetes clusters, GPUs and edge nodes, while maintaining state and […]

February 5, 2026

Nemotron-3-Nano vs. Mistral Small Models: Efficiency for Agentic Tasks on GPUs

Nemotron-3-Nano vs Mistral Small Models is a decision you face when agentic inference must be fast, predictable and affordable on GPUs. If p95 latency spikes or KV-cache growth squeezes concurrency, your serving cost per task can climb quickly. McKinsey reports that 62% of organizations are already experimenting with AI agents, which increases pressure to quantify serving […]

February 5, 2026

How to Automate Agentless RPO Optimization with Immutable Backups

To automate agentless backup effectively, teams must balance DR objectives with cost, complexity and modern threat realities. Veeam’s Ransomware Trends Executive Summary reports that only 54% of organizations’ overall backup storage is immutable, leaving restore points exposed during attacks. Recovery Point Objective (RPO) is not just a number in a policy. It is the maximum data loss […]

February 5, 2026

How to Fine-Tune Nemotron-3-Nano on Multi-GPUs

To fine-tune Nemotron-3-Nano on multi-GPUs, you need a workflow that’s simple enough to run locally without hitting VRAM limits, NCCL hiccups or template quirks. NVIDIA’s Nemotron 3 Nano delivers big-model capability in a practical form factor: a ~30B-parameter Mamba–Transformer Mixture-of-Experts model with roughly 3.6B active parameters per token, built for fast, accurate coding, math and agentic […]

February 3, 2026

Multi-GPU LLM Training on Kubernetes: Build a Production-Ready Pipeline

Multi-GPU LLM training has become essential as teams move from small model experiments to larger fine-tuning and pretraining workloads. A single GPU often becomes a bottleneck because of memory limits, long training cycles, and slow iteration speed. However, production-grade multi-GPU training is not just about requesting more GPUs. A reliable pipeline needs GPU-aware scheduling, reproducible […]

January 20, 2026

Public Cloud Services in 2026: What’s Changing Because of AI Workloads and Data Sync

We are in 2026, and AI workloads are reshaping public cloud services faster than most platform roadmaps can keep up. At the same time, data synchronization is moving from nightly jobs to continuous pipelines that feed training and inference. Synergy Research reported enterprise spending on cloud infrastructure services at about $106.9B to $107B in Q3 2025, […]

January 20, 2026

25+ Stats to Show AI Impact in Healthcare [2026] – OpenAI Report

Entering a new year, we are thrilled to share OpenAI’s latest report on how AI is impacting the healthcare industry. First things first, healthcare leaders are no longer deciding whether patients will use AI, because patients are already doing it at scale. The January 2026 report by OpenAI (which we’ll cite all along) shows clinicians and healthcare […]

January 19, 2026

Multi-Cloud Trends for 2026 and the Rise of Neoclouds

Multi-cloud trends are redefining enterprise cloud strategy for 2026. As AI moves from pilots to production, cloud choices become less about preference and more about capacity, resilience and control. Gartner research notes that more than 80% of organizations now use multiple public cloud IaaS and PaaS providers, underscoring how multi-cloud has shifted from optional to normal. Hyperscalers […]

January 19, 2026

Using Local Docker Images With Minikube (and Moving Them to a Managed Kubernetes Cluster)

We have seen that iterations are faster when Minikube runs the exact image you just built, without publishing anything to a registry. However, you still need a repeatable path from local testing to a managed Kubernetes cluster, where nodes are replaceable. To help you with that, we will explain three workflows for using local docker images with […]

January 19, 2026

« Previous
1
…
7
8
9
10
11
…
27
Next »