DataOps

This blog highlights the best practices, common challenges and innovative solutions for optimizing ETL testing, helping you safeguard the integrity of your data and make decisions with confidence ...

Changes to agile methodology are inevitable because GenAI and Agile are providing real competitive advantages ...

The security vulnerability in the popular open-source development tool helps threat actors gain initial access into victims' systems ...

The data used to train AI models needs to reflect the production environments where applications are deployed ...

Sumo Logic will no longer charge a fee for ingesting log data into its observability platform to encourage DevOps teams to apply analytics more deeply ...

The Techstrong Research PulseMeter report underscores the critical role of database caching in supporting real-time applications and digital experience delivery ...

JFrog's integration with Qwak's MLOps platform will advance collaboration between teams building and deploying multiple classes of software artifacts ...

DevOps teams should consider a number of different strategies to ensure apps remain efficient and portable across various chip architectures ...

DevOps can use the insights drawn from customer intelligence in addition to its use informing business strategy, product development and marketing ...

By using a Java profiler, developers can gain a deep understanding of the application's performance characteristics and identify potential areas for optimization ...

Dynatrace unfurled a Dynatrace OpenPipeline that makes it possible to apply analytics to multiple types of data sources in real time ...

From the death of the modern data stack sprawl to the birth of generative AI, 2024 represents the beginning of a new era in infrastructure tech ...