Articles
Creating a fault-tolerant API gateway
Building a fault-tolerant API gateway with Envoy and Istio is a strategic investment in the reliability and resilience of your microservices architecture. As you deploy your gateway in production, remember to continuously monitor and optimize your setup to meet the evolving demands of your system.
Building a scalable ML pipeline with TensorFlow & Apache Airflow
Building a scalable machine learning pipeline with TensorFlow and Apache Airflow is an essential step for organizations looking to leverage ML at scale. By automating and orchestrating the various stages of the ML lifecycle, you can create a pipeline that is efficient, reliable, and capable of growing with your needs.
Optimize distributed systems with consistent hashing
Consistent hashing is a powerful tool for optimizing distributed systems, offering significant improvements in data distribution, load balancing, and fault tolerance. By implementing consistent hashing, you can build systems that are more resilient, scalable, and efficient, even in the face of constant changes. The practical steps outlined in this post provide a solid foundation for integrating consistent hashing into your own distributed systems.
Integrating blockchain into an existing corporate system
Integrating blockchain technology into an existing enterprise system is a complex process that comes with its own set of challenges and opportunities. Throughout this journey, several key lessons have been learned that can guide future blockchain initiatives.
Building a predictive maintenance system with IoT and machine learning
Predictive maintenance is a strategy that uses data analysis tools and techniques to detect anomalies in your operations and possible defects in equipment and processes so you can fix them before they result in failure.
Building responsible AI systems
The future of AI ethics is a complex and evolving field, requiring a careful balance between innovation and responsibility. As AI continues to transform society, it is crucial that we build systems that are not only powerful but also ethical. By adhering to principles of fairness, accountability, transparency, and privacy, and by fostering global collaboration, we can create AI systems that enhance human well-being and contribute to a more just and equitable world.