I find Amazon OpenSearch Service very effective for centralized log management and search analytics. It helps us by aggregating application logs, infrastructure metrics, and operational events into a centralized platform, allowing teams to quickly search, analyze, and troubleshoot issues, significantly reducing debugging time. The usability of Amazon OpenSearch Service improves our team's operational efficiency by centralizing logs, monitoring, and read and search capabilities into a single platform, making it easy to search and filter issues through dashboards and queries. It enhances collaboration among different teams, such as developers and support engineers, as they work from the same operational data. The dashboarding and visualization feature also makes operational metrics easier to understand in real time for nontechnical stakeholders. Moreover, Amazon OpenSearch Service offers better integration with our AWS environment, improved scalability for cloud-native workloads, and lower operational costs for large-scale log storage compared to our previous solution. Review collected by and hosted on G2.com.
Cluster during indexing strategies and storage optimization can become complex for large environments. Cost can also increase significantly if indexing and retention policies are not properly handled. Index management and cluster optimization can require expertise, especially for high volume logging environments. Basic setup is relatively easy, but scaling clusters and optimizing index strategies for production workloads require experience and is complicated. Review collected by and hosted on G2.com.
