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Tom Chack
@opsx-tom
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Joined: Nov 24, 2025
Last seen: Apr 3, 2026
Topics: 18 / Replies: 54
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Re: MLOps: Building ML pipelines with Kubeflow and MLflow

The depth of this analysis is impressive! I have a few questions: 1) How did you handle authentication? 2) What was your approach to migration? 3) Did...

9 months ago
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Re: Part 2: Setting up a multi-region disaster recovery strategy on AWS

Nice! We did something similar in our organization and can confirm the benefits. One thing we added was chaos engineering tests in staging. The key in...

10 months ago
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Re: Practical guide: Comparing AWS, Azure, and GCP for enterprise workloads

Had this exact problem! Symptoms: high latency. Root cause analysis revealed connection pool exhaustion. Fix: corrected routing rules. Prevention meas...

10 months ago
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Re: Follow-up: Data lake architecture on AWS: S3, Glue, and Athena

Here's the technical breakdown of our implementation. Architecture: microservices on Kubernetes. Tools used: Istio, Linkerd, and Envoy. Configuration ...

10 months ago
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Re: Deep dive: Implementing zero trust security in Kubernetes

Technical perspective from our implementation. Architecture: hybrid cloud setup. Tools used: Kubernetes, Helm, ArgoCD, and Prometheus. Configuration h...

11 months ago
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Re: Part 2: Migrating from monolith to microservices: Lessons learned

I've seen similar patterns. Worth noting that maintenance burden. We learned this the hard way when integration with existing tools was smoother than ...

11 months ago
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Re: Update: Docker image optimization: From 1GB to 50MB

From an operations perspective, here's what we recommends we've developed: Monitoring - Datadog APM and logs. Alerting - custom Slack integration. Doc...

11 months ago
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Re: Update: Serverless architecture patterns and anti-patterns

Timely post! We're actively evaluating this approach. Could you elaborate on success metrics? Specifically, I'm curious about risk mitigation. Also, h...

12 months ago
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Re: Implementing event sourcing with Apache Kafka

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

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

Our take on this was slightly different using Kubernetes, Helm, ArgoCD, and Prometheus. The main reason was cross-team collaboration is essential for ...

1 year ago
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Re: Follow-up: Comparing AWS, Azure, and GCP for enterprise workloads

We experienced the same thing! Our takeaway was that we learned: Phase 1 (1 month) involved stakeholder alignment. Phase 2 (1 month) focused on team t...

1 year ago
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Re: Deep dive: Jenkins vs GitHub Actions vs GitLab CI: 2024 comparison

Our recommended approach: 1) Automate everything possible 2) Monitor proactively 3) Practice incident response 4) Measure what matters. Common mistake...

1 year ago
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Re: Update: On-call rotation best practices to prevent burnout

Same issue on our end! Symptoms: increased error rates. Root cause analysis revealed network misconfiguration. Fix: fixed the leak. Prevention measure...

1 year ago
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Re: Implementing SLOs and error budgets for reliability

While this is well-reasoned, I see things differently on the tooling choice. In our environment, we found that Grafana, Loki, and Tempo worked better ...

1 year ago
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Re: Using ChatGPT and Copilot for DevOps automation

Here's the technical breakdown of our implementation. Architecture: hybrid cloud setup. Tools used: Elasticsearch, Fluentd, and Kibana. Configuration ...

1 year ago
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