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Observability Maturity Model: A Framework to Enhance Monitoring and Observability Practices


Imagine this heartfelt conversation between a cloud architect and her customer who is a DevOps engineer: Cloud architect: “How satisfied are you with the monitoring in place?” DevOps engineer: “It is all right. We just monitor our servers and their health status – nothing more.” Cloud architect: “Is that the desired state of monitoring you […]

The post Observability Maturity Model: A Framework to Enhance Monitoring and Observability Practices appeared first on DATAVERSITY.


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Author: Imaya Kumar Jagannathan and Doyita Mitra

Testing and Monitoring Data Pipelines: Part One


Suppose you’re in charge of maintaining a large set of data pipelines from cloud storage or streaming data into a data warehouse. How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes in. Data testing uses a set of rules to check if the data conforms to […]

The post Testing and Monitoring Data Pipelines: Part One appeared first on DATAVERSITY.


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Author: Max Lukichev