Author
Articles by Valerio Arvizzigno
Principal Solutions Architect, Elastic
Valerio is a technology enthusiast focused on Cloud, Software Engineering, AI, and Analytics. Before joining Elastic he spent most of his career innovating enterprise processes with the latest technologies and leading R&D teams. Valerio has also extensive expertise in the SAP world. He's now strongly involved in developing ecosystem alliances and in the enterprise adoption of GenerativeAI together with ML-powered search.
End-to-end SAP Observability with Elastic, Google Cloud, and Kyndryl: A deep dive
Companies across almost all industries rely on robust complex SAP systems to power their core operations. At Elastic, with the collaboration of Kyndryl and Google Cloud, we designed a full-stack observability experience for your SAP environment.
Sovereign solutions for sensitive workloads: Elastic on Google Distributed Cloud Hosted
Sovereign cloud solutions ensure data residency, regulatory compliance, and security become indispensable for organizations dealing with highly sensitive data. With data sovereignty, organizations retain control over their data and mitigate risks.
Simplify stream processing for generative AI applications with Confluent Cloud for Apache Flink® and Elasticsearch®
We partnered with Confluent as they announce the GA of the industry’s only cloud-native, serverless Apache Flink® service — ready within Confluent’s data streaming platform with a cloud-native service for Apache Kafka®, integrated with Elasticsearch.
Elastic Agent’s new output to Kafka: Endless possibilities for data collection and streaming
Introducing Elastic Agent's new feature: native output to Kafka. With this latest addition, Elastic's users can now effortlessly route their data to Kafka clusters, unlocking unparalleled scalability and flexibility in data streaming and processing.
Accelerating R&D in pharma with Elasticsearch, ESRE, LLMs, and LangChain — Part 1
Learn how to leverage ESRE and generative AI in order to enable R&D organizations to interact with data effectively and make better decisions in the drug discovery process. The challenges with privacy and missing context will also be addressed.
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