Repository Insights with OpenSearch

The Merritt Digital Preservation Repository consists of 6 java microservices and 1 ruby microservice. Each service operates as a high-availability service running on load-balanced instances. In 2023, the Merritt team adopted OpenSearch for consolidated logging across each of these instances. The migration to a consolidated logging solution produced benefits beyond the team's expectations. This presentation will describe the Merritt team's need for consolidated logging. Because the university has adopted AWS technologies, OpenSearch was a logical solution. The presentation will provide a brief overview of OpenSearch and an explanation of the distinction between OpenSearch and ElasticSearch. Once the team had published log records to OpenSearch, the team began to explore the data visualization capabilities of OpenSearch. The creation of data visualizations enabled the team to proactively identify problems before users had reported them. Additionally, the visualization capabilities of OpenSearch were so attractive that the team has begun publishing aggregated data records to OpenSearch for visualization purposes.