2 lessons from my first startup
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The author shares lessons learned from building Mefeedia, one of the first video aggregators. In the first year, the author worked alone spending $2000 and coding for two months to build the initial idea. In the second year, they hired two coders for $8000 and continued coding for three months to improve the platform. While the business faced growth challenges and no revenue, the author ultimately learned that starting a company is a marathon, not a sprint, and to enjoy the process of building the business.
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- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
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7. What is Prometheus?
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8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
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12. Jupyter Notebooks with Code Examples
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