In this blog post, we explore two innovative solutions designed to achieve cross-Region resilience using Amazon OpenSearch Ingestion (OSI) and Amazon Simple Storage Service (Amazon S3). These approaches eliminate the need to reestablish connections during a failback by implementing an active-active replication model. Our examples will focus on OpenSearch Serverless configurations, which can be applied to both managed clusters and serverless collections.
To effectively manage costs at the domain level in Amazon OpenSearch Service, understanding the pricing structure is crucial. This service’s pricing is determined by three key factors: instances, storage, and data transfer. Gaining visibility into domain-level expenses is essential for accurate budgeting, efficient resource allocation, and ensuring transparency across various projects. By utilizing AWS Cost Explorer, you can seamlessly track and analyze these costs.
In a significant announcement, the Linux Foundation has established the OpenSearch Software Foundation, taking ownership of OpenSearch from AWS. This transition underscores AWS’s commitment to maintaining a secure, high-quality, and fully open-source search and analytics suite, fostering a collaborative community with open governance to further enhance its development.
For AWS customers operating in complex environments, the Batch Processing Gateway provides a solution for automating job management within multi-cluster Amazon EMR on EKS setups. This configuration promotes resiliency and eliminates single points of failure, ensuring continuous processing of critical workloads.
Capital Fund Management (CFM), a Paris-based alternative investment management firm, has successfully built a scalable and well-governed data engineering platform using Amazon EMR for financial features generation. This system exemplifies how advanced data strategies can significantly enhance operational efficiency.
In another insightful piece, we delve into the collaboration between Salesforce and Amazon, which allows customers to harness bidirectional Zero Copy data sharing between Salesforce Data Cloud and Amazon Redshift. In the first part of this series, we outlined the setup for data sharing within the same AWS Region. Now, we shift our focus to the architecture and implementation of cross-Region data sharing.
The AWS Glue Data Catalog has received an update, enhancing the management of Apache Iceberg tables. This enhancement includes automated removal of unnecessary data files, which, along with the compaction feature, assists in reducing metadata overhead, controlling storage costs, and improving query performance.
As organizations increasingly assess the potential of generative AI, this blog highlights the importance of AWS analytics and managed databases in differentiating generative AI applications. Many organizations are at various stages of defining their generative AI strategies, often centering around large language models and foundation models.
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