The recipe for successful A/B testing is quick computation, no duplication, and no data loss. For that, we used Apache Flink and Apache Doris to build our data platform.
Discover how Platform Engineering and dynamic Internal Developer Platforms can impact business metrics like revenue, time to market, and customer satisfaction.
This blog post highlights the pros and cons of a “one shoe fits all approach,” where one platform is used for all the use cases vs. the “best tool for the job.”
Is this a new era for edge computing? Explore the intersection of edge computing and containers, their importance, and the challenges associated with them.
Understand which service mesh software is the best by exploring each one's ability to handle traffic, security, observability, scalability, and its level of community support.
Managing and analyzing logs and metrics can be a daunting task, especially if the application generates a large volume of data. That's where Elasticsearch and Kibana come in.
Combining Pydantic and Elasticsearch for data management, we can create structured schemas and perform automatic data validation and enhance data consistency.
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