VMware hopes to be a big player in the Kubernetes ecosystem with its Tanzu portfolio.Ī big part of this plan involves the new vSphere 7, which has been reworked to run both container and virtual machine workloads by embedding Tanzu Kubernetes Grid and other components.
#Bitnami mean stack passenger upgrade
"Kubernetes has practically stolen virtualization from VMware, so now it needs to upgrade the engine room, while keeping the promenade deck the same and hoping the passengers stay on board and do not jump ship," said Holger Mueller, an analyst at Constellation Research.
This flurry of product development and marketing around Kubernetes has a critical purpose for VMware.
#Bitnami mean stack passenger software
Bitnami, which offers a catalog of pre-packaged software such as the MySQL database for quick deployment across multiple environments, is now called Tanzu Application Catalog.įinally, VMware has rebranded Pivotal Application Service to Tanzu Application Service and changed its Wavefront monitoring software's name to Tanzu Observability by Wavefront. VMware has also pushed its acquisition of Bitnami under the Tanzu header. A chief component is the Kubernetes Grid, a distribution of the container orchestration engine that sets up clusters in a consistent way across various public clouds and on-premises infrastructure.Īnother product, Tanzu Mission Control, provides management tooling for Kubernetes clusters. Write, close, fsync 70.The strategy centers on Tanzu, a product portfolio VMware introduced at the VMworld conference in August. Write, fsync, close 16.808 ops/sec 59497 usecs/op (If the times are similar, fsync() can sync data written on a different Test if fsync on non-write file descriptor is honored: (This is designed to compare the cost of writing 16kB in different writeġ * 16kB open_sync write 34.263 ops/sec 29186 usecs/opĢ * 8kB open_sync writes 15.586 ops/sec 64159 usecs/opĤ * 4kB open_sync writes 9.276 ops/sec 107799 usecs/opĨ * 2kB open_sync writes 3.959 ops/sec 252602 usecs/opġ6 * 1kB open_sync writes 1.914 ops/sec 522347 usecs/op Open_datasync 1.932 ops/sec 517651 usecs/opĬompare open_sync with different write sizes: Open_datasync 3.918 ops/sec 255261 usecs/opĬompare file sync methods using two 8kB writes: (in wal_sync_method preference order, except fdatasync is Linux's default) O_DIRECT supported on this platform for open_datasync and open_sync.Ĭompare file sync methods using one 8kB write: This is the output of pg_test_fsync on postgress master node when the cluster was idle: p1-postgresql-ha-postgresql-0:/bitnami/postgresql$ pg_test_fsync -f c.o So since I am not a DBA or someone like that, how i can find why it is slow? can metrics or sth else help? The script inserts very fast on my local non-clustered postgresql database, on my local machine and inserts 2000 records in less than a second. I am using NFS as file storage for the cluster and it is connected to a vmware guest machine with enough memory and cpu and a HP fast hard disk drive, in same broadcast domain on same VSwitch with a 1Gbps v-port.īut insert into database using a js written batch script is slow like this: There is 1 master and 1 replica, pg_pool and metrics. Recently i did create a PostgresQL-HA 11, cluster using bitnami helm charts.
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