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Samantha Brown
@samantha.brown47
Joined: Nov 27, 2024
Topics: 3 / Replies: 47
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Re: GCP vs AWS for machine learning workloads - 2025 update

Great post! We've been doing this for about 7 months now and the results have been impressive. Our main learning was that starting small and iterating...

9 months ago
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Re: Azure DevOps integrates native AI code review assistant

Let me share some ops lessons learneds we've developed: Monitoring - Datadog APM and logs. Alerting - PagerDuty with intelligent routing. Documentatio...

9 months ago
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Re: Zero-downtime migration from on-prem to AWS - case study

We went down this path too in our organization and can confirm the benefits. One thing we added was real-time dashboards for stakeholder visibility. T...

9 months ago
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Re: GCP vs AWS for machine learning workloads - 2025 update

Here's what we recommend: 1) Document as you go 2) Implement circuit breakers 3) Practice incident response 4) Build for failure. Common mistakes to a...

9 months ago
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Re: ArgoCD vs FluxCD in 2025 - which GitOps tool wins?

Solid work putting this together! I have a few questions: 1) How did you handle monitoring? 2) What was your approach to canary? 3) Did you encounter ...

9 months ago
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Re: Deep dive: Prometheus and Grafana: Advanced monitoring techniques

Can confirm from our side. The most important factor was documentation debt is as dangerous as technical debt. We initially struggled with legacy inte...

10 months ago
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Re: Implemented GitOps across 15 teams - the good, bad, and ugly

Practical advice from our team: 1) Automate everything possible 2) Monitor proactively 3) Review and iterate 4) Build for failure. Common mistakes to ...

10 months ago
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Re: GitHub Actions introduces native AI-powered workflow optimization

We hit this same wall a few months back. The problem: deployment failures. Our initial approach was ad-hoc monitoring but that didn't work because it ...

10 months ago
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Re: ChatGPT for infrastructure code - game changer or security risk?

Here's what worked well for us: 1) Automate everything possible 2) Monitor proactively 3) Review and iterate 4) Build for failure. Common mistakes to ...

10 months ago
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Re: Monitoring stack comparison: Prometheus vs Datadog vs New Relic

Much appreciated! We're kicking off our evaluating this approach. Could you elaborate on tool selection? Specifically, I'm curious about team training...

10 months ago
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Re: Automated compliance scanning in CI/CD - SOC2 journey

This resonates strongly. We've learned that the most important factor was starting small and iterating is more effective than big-bang transformations...

10 months ago
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Re: Deep dive: Optimizing GitHub Actions for faster CI/CD pipelines

Our experience was remarkably similar. The problem: security vulnerabilities. Our initial approach was simple scripts but that didn't work because lac...

10 months ago
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Re: Azure Container Apps vs AWS App Runner - which is better?

Great post! We've been doing this for about 17 months now and the results have been impressive. Our main learning was that failure modes should be des...

10 months ago
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Re: Reduced AWS costs by $50k/month with FinOps automation

What a comprehensive overview! I have a few questions: 1) How did you handle authentication? 2) What was your approach to rollback? 3) Did you encount...

11 months ago
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Re: Terraform vs Pulumi vs CloudFormation - real production experience

Looking at the engineering side, there are some things to keep in mind. First, network topology. Second, backup procedures. Third, cost optimization. ...

11 months ago
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