DZone
DECEMBER 30, 2020
Below are some of the key metrics that need to be monitored during performance testing: CPU utilization. Cache hit ratio. Let's take a look at some of the causes of negative impacts on performance testing and some quick resolutions that will help smooth everything out. Heap memory utilization. Application log.
SQL Performance
APRIL 13, 2020
His version can be used for the plan cache – the only challenge there is the information is transient, so you may not capture every query that uses a particular index. value ( '(@Database) [1 ]' , 'varchar(128)' ) AS DatabaseName , obj. value ( '(@StatementText) [1 ]' , 'varchar(max)' ) AS SQL_Text , obj. nodes ( '.
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n0derunner
JULY 23, 2019
Many different queries are executing in parallel, some hitting RAM cache, some hitting storage. The aim of the experiment was to see how data-locality might affect a running database workload, not to generate the maximum TPS. The Postgres DB is totally un-tuned and contains purely default settings. appeared first on n0derunner.
Dynatrace
SEPTEMBER 17, 2019
REDIS for caching. Once Dynatrace OneAgent is monitoring the k8s cluster it gives you code-level visibility into every container that gets deployed including visibility into each incoming service call, executed database queries, invoked external services, written logs as well as handled and unhandled exceptions. #1 3 Log Analytics.
Scalegrid
JULY 29, 2020
PgBouncer defines one pool per user+database combination. A client benefits from a pooled connection only if it connects to a child which has previously served a connection for this database+user combination. PgBouncer allows limiting connections per-pool, per-database, per-user or per-client. Performance Testing.
n0derunner
SEPTEMBER 17, 2018
It is very common to have large resource-hungry databases separated across nodes using anti-affinity rules. The “Data” disks are doing both reads (from DB cache misses) and writes committed transactions. The idea here is to simulate a large database doing a lot of reads across a large workingset size.
Brendan Gregg
FEBRUARY 9, 2018
This overhead can be reduced by A) pcid, fully available in Linux 4.14, and B) Huge pages. - **Cache access pattern**: the overheads are exacerbated by certain access patterns that switch from caching well to caching a little less well. Also microbenchmarks, which often stress-test the system, will suffer the largest losses.
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