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Evelyn Sanders
@evelyn.sanders800
Joined: Oct 12, 2025
Topics: 3 / Replies: 43
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Re: Automated root cause analysis using AI - case study

Not to be contrarian, but I see this differently on the team structure. In our environment, we found that Elasticsearch, Fluentd, and Kibana worked be...

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

Here's how our journey unfolded with this. We started about 13 months ago with a small pilot. Initial challenges included tool integration. The breakt...

4 months ago
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Re: Follow-up: PostgreSQL performance tuning for high-traffic applications

Great approach! In our organization and can confirm the benefits. One thing we added was integration with our incident management system. The key insi...

4 months ago
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Re: Cross-cloud disaster recovery - our Netflix-style approach

I can offer some technical insights from our implementation. Architecture: microservices on Kubernetes. Tools used: Elasticsearch, Fluentd, and Kibana...

4 months ago
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Re: From manual deployments to full automation in 6 months

Interesting points, but let me offer a counterargument on the tooling choice. In our environment, we found that Elasticsearch, Fluentd, and Kibana wor...

4 months ago
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Re: OpenTofu reaches v1.10 - what changed from Terraform?

Adding some engineering details from our implementation. Architecture: microservices on Kubernetes. Tools used: Datadog, PagerDuty, and Slack. Configu...

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

This resonates with what we experienced last month. The problem: deployment failures. Our initial approach was manual intervention but that didn't wor...

5 months ago
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Re: AI-powered log analysis vs traditional monitoring - comparison

The full arc of our experience with this. We started about 15 months ago with a small pilot. Initial challenges included performance issues. The break...

5 months ago
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Re: Part 2: Data lake architecture on AWS: S3, Glue, and Athena

Lessons we learned along the way: 1) Automate everything possible 2) Monitor proactively 3) Review and iterate 4) Build for failure. Common mistakes t...

5 months ago
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Re: Part 2: Implementing event sourcing with Apache Kafka

Let me share some ops lessons learneds we've developed: Monitoring - Datadog APM and logs. Alerting - Opsgenie with escalation policies. Documentation...

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

This is exactly the kind of detail that helps! I have a few questions: 1) How did you handle monitoring? 2) What was your approach to blue-green? 3) D...

5 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 17 months now and the results have been impressive. Our main learning was that automation should augment h...

6 months ago
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Re: Part 2: Using ChatGPT and Copilot for DevOps automation

Architecturally, there are important trade-offs to consider. First, network topology. Second, monitoring coverage. Third, cost optimization. We spent ...

6 months ago
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Re: GCP Cloud Run vs AWS Lambda - real performance comparison

Been there with this one! Symptoms: increased error rates. Root cause analysis revealed network misconfiguration. Fix: corrected routing rules. Preven...

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

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

6 months ago
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