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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...

4 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...

4 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...

4 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...

4 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 ...

4 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...

4 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 ...

5 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 ...

5 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 ...

5 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...

5 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...

5 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...

5 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...

5 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...

5 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. ...

5 months ago
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