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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...

9 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...

9 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...

9 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...

9 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...

10 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...

10 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...

10 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...

10 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...

10 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...

10 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...

11 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...

11 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 ...

11 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...

11 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...

11 months ago
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