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PostgreSQL Connection Pooling: Part 4 – PgBouncer vs. Pgpool-II

Scalegrid

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.

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HCI Performance testing made easy (Part 3)

n0derunner

Creating a HCI benchmark to simulate multi-tennent workloads. It is very common to have large resource-hungry databases separated across nodes using anti-affinity rules. We supply a pre-configured scenario which we call the DB Colocation test. Time based benchmark actions. Distinct per-VM workload patterns.

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Impact of Data locality on DB workloads.

n0derunner

In this video I migrate a Postgres DB running PGbench benchmark. The variation in the transaction rate is due to the benchmark itself, the transaction rate is not expected to be uniform. Many different queries are executing in parallel, some hitting RAM cache, some hitting storage.

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KPTI/KAISER Meltdown Initial Performance Regressions

Brendan Gregg

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. At 50k syscalls/sec per CPU the overhead may be 2%, and climbs as the syscall rate increases.

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KPTI/KAISER Meltdown Initial Performance Regressions

Brendan Gregg

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. At 50k syscalls/sec per CPU the overhead may be 2%, and climbs as the syscall rate increases.

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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced. Disk based caching.

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SQL Server I/O Basics Chapter #1

SQL Server According to Bob

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. This will help you increase system performance and avoid I/O environment errors.

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