Hi all, Apache SkyWalking Team is glad to announce the first release of Apache SkyWalking 8.7.0.
SkyWalking: APM (application performance monitor) tool for distributed systems, especially designed for microservices, cloud native and container-based (Docker, Kubernetes, Mesos) architectures. This release contains a number of new features, bug fixes and improvements compared to version 8.6.0(last release). The notable changes since 8.7.0 include: This release improves the performance over 50%, and load of ElastciSearch / OpenSearch storage would remarkably decrease. 1. Performance: remove the synchronous persistence mechanism from batch ElasticSearch DAO. Because the current enhanced persistent session mechanism, don't require the data queryable immediately after the insert and update anymore. 2. Adjust index refresh period as INT(flushInterval * 2/3), it used to be as same as bulk flush period. At the edge case, in low traffic(traffic < bulkActions in the whole period), there is a possible case, 2 period bulks are included in one index refresh rebuild operation, which could cause version conflicts. And this case can't be fixed through core/persistentPeriod as the bulk fresh is not controlled by the persistent timer anymore. 3. Optimization: Concurrency mode of execution stage for metrics is removed(added in 8.5.0). Only concurrency of prepare stage is meaningful and kept. 4. Enhance persistent session timeout mechanism. Because the enhanced session could cache the metadata metrics forever, new timeout mechanism is designed for avoiding this specific case. Please refer to the change log for the complete list of changes: https://github.com/apache/skywalking/blob/master/changes/changes-8.7.0.md Apache SkyWalking website: http://skywalking.apache.org/ Downloads: http://skywalking.apache.org/downloads/ Twitter: https://twitter.com/ASFSkyWalking SkyWalking Resources: - GitHub: https://github.com/apache/skywalking - Issue: https://github.com/apache/skywalking/issues - Mailing list: [email protected] - Apache SkyWalking Team Sheng Wu 吴晟 Twitter, wusheng1108
