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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. What is PostgreSQL performance tuning? Why is PostgreSQL performance tuning important?

Tuning 52
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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. PostgreSQL is an open source object-relational database system with over 30 years of active development. Let’s take a look at core functionality of these two relational database management systems.

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InnoDB Performance Optimization Basics

Percona

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Operating system Linux is the most common operating system for high-performance MySQL servers.

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Kubernetes vs Docker: What’s the difference?

Dynatrace

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. Watch webinar now! Kubernetes.

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How to Assess MySQL Performance

HammerDB

GHz 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) Up to 20% higher compute performance than z1d instances Up to 50 Gbps of networking speed Up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (EBS) We can also verify these capabilities by running some simple benchmarks on the different subsystems.

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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52
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The top 5 reasons to run your own database benchmarks

HammerDB

Scalability. As the chart shows because we know that both HammerDB and the implementation of the TPC-C workload scales then we can determine that with this particular database engine both the software and hardware scales as well. That is why we run a workload designed exactly for this purpose as it gives us a “benchmark” 2.