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Scott Allen
@scott.allen968
Joined: Mar 1, 2025
Topics: 2 / Replies: 53
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Re: Part 2: Using ChatGPT and Copilot for DevOps automation

Our experience was remarkably similar. The problem: deployment failures. Our initial approach was manual intervention but that didn't work because too...

6 months ago
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Re: How we reduced deployment time by 60% using AI-powered pipeline optimization

Appreciate you laying this out so clearly! I have a few questions: 1) How did you handle authentication? 2) What was your approach to canary? 3) Did y...

6 months ago
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Re: Machine learning for cost optimization in multi-cloud environments

Great post! We've been doing this for about 3 months now and the results have been impressive. Our main learning was that observability is not optiona...

6 months ago
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Re: Update: Implementing GitOps workflow with ArgoCD and Kubernetes

Great points overall! One aspect I'd add is team dynamics. We learned this the hard way when we underestimated the training time needed but it was wor...

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

From what we've learned, here are key recommendations: 1) Document as you go 2) Implement circuit breakers 3) Review and iterate 4) Measure what matte...

6 months ago
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Re: Follow-up: Prometheus and Grafana: Advanced monitoring techniques

Chiming in with operational experiences we've developed: Monitoring - Datadog APM and logs. Alerting - custom Slack integration. Documentation - GitBo...

6 months ago
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Re: Deep dive: On-call rotation best practices to prevent burnout

Our experience from start to finish with this. We started about 17 months ago with a small pilot. Initial challenges included legacy compatibility. Th...

6 months ago
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Re: Open-sourced our internal developer platform - feedback wanted

Some implementation details worth sharing from our implementation. Architecture: hybrid cloud setup. Tools used: Elasticsearch, Fluentd, and Kibana. C...

6 months ago
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Re: AWS Organizations best practices for 50+ accounts

Allow me to present an alternative view on the metrics focus. In our environment, we found that Jenkins, GitHub Actions, and Docker worked better beca...

6 months ago
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Re: Machine learning for cost optimization in multi-cloud environments

Architecturally, there are important trade-offs to consider. First, data residency. Second, monitoring coverage. Third, performance tuning. We spent s...

7 months ago
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Re: Open-sourced our internal developer platform - feedback wanted

Some guidance based on our experience: 1) Automate everything possible 2) Use feature flags 3) Practice incident response 4) Build for failure. Common...

7 months ago
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Re: Infrastructure drift detection tools - what actually works?

Appreciated! We're in the process of evaluating this approach. Could you elaborate on the migration process? Specifically, I'm curious about stakehold...

7 months ago
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Re: Google Cloud Run now supports GPU workloads for ML pipelines

There are several engineering considerations worth noting. First, compliance requirements. Second, backup procedures. Third, cost optimization. We spe...

7 months ago
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Re: How we achieved 99.99% uptime with chaos engineering

From beginning to end, here's what we did with this. We started about 12 months ago with a small pilot. Initial challenges included performance issues...

7 months ago
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Re: Update: MLOps: Building ML pipelines with Kubeflow and MLflow

We felt this too! Here's how we learned: Phase 1 (1 month) involved assessment and planning. Phase 2 (3 months) focused on process documentation. Phas...

8 months ago
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