PostgreSQL
performance analysis & tuning

Database performance depends on a collection of things. Over time as the size of the database grows, performance may degrade, slowing down applications. So it becomes necessary to analyze the issues that are responsible for performance degradation and tune them. There are many ways to tune a database either by tuning features that exist within the database or by tuning external components like the operating system, application, storage, hardware infrastructure, and network components.

We perform in-depth performance analysis and tuning that helps in improving response time and database overall performance. It reduces downtime and the number of resources required to process a task. It ensures optimum database performance by maximizing the available resource usage. After tuning the database we test and analyze each parameter to ensure that the tuning actually improved the respective parameter.

Service features

Features of PostgreSQLperformance analysis & tuning

Parameter tuning

We analyze database parameter metrics like CPU, memory, connections, replication, bloat, lock waits, and I/O latency. We...

Configuration tuning

We analyze data partition and database configuration parameters and tune them for maximum output and the highest perform...

Code optimization

Better software is built on better codes. We eliminate coding loops. It degrades database performance because if a query...

Query optimization

We analyze the database continuously and find all slow and underperforming queries. Then we parallelize queries executio...

Index optimization

We analyze and optimize existing data indexes by adding, removing, or modifying indexes and by creating clustered indexe...

Load balancing

We create custom endpoints to distribute the workload equally across different database servers. We split queries and tr...

Database contention removal

We eliminate contentions in the database like database locks, lags, latches, and wait events by optimizing data access p...

Hardware tuning

We check the hardware specification and configuration and make necessary changes to ensure full utilization of the hardw...

Operating System tuning

Operating System is the underlying layer of the database. We tune the parameters of the OS on which the database is runn...

Network connection tuning

Simultaneous connections almost inevitably lead to connection congestion. We tune connection pooling and ensure that it’...

Data normalization

We normalize data by restructuring the tables. We also reduce redundant data. It saves storage space and increases the e...

Table partition optimization

Table partitions are essential for maximizing database and data management efficiency. We add, remove, or modify table p...

Cache optimization

We place frequently used information and queries in high speed cache memory to increase the cache hit ratio. It avoids r...

Memory optimization

We properly size and optimize the database buffer (shared pool, buffer cache, and log buffer) to prevent frequent reload...

Storage optimization

We analyze the existing storage partitions and configurations. Then we reorganize, restructure, and optimize it to enhan...

Throughput optimization

We optimize the database based on its purpose and the organization’s requirements. Because database designed for differe...

Proper scaling

We analyze and scale the database so that it can effectively handle the increased workload. Based on situations we apply...

Sub-optimal configuration

We configure and optimize the database based on the organization’s workloads and available facilities to ensure the high...

Benefits we provide

Benefits of PostgreSQL performance analysis & tuning

#1

We maximize the availability and performance of the database system and its associated applications.

#2

We improve the uptime and response time for critical applications.

#3

We maintain consistency and functionality of the database system.

#4

We increase data retrieval speed.

#5

We improve query performance and execution time.

#6

We mostly follow the proactive approach in performance tuning. We tune the parameters that can cause problems in the future.

#7

We decrease the risk of unwanted incidences and troubleshooting.

#8

We ensure maximum utilization of hardware resources.

#9

We improve the end user experience.

#10

We save storage costs.

#11

We eliminate the cost related to unnecessary hardware up-gradation or purchase of unnecessary additional hardware.

#12

We reduce overall operational, administrative, and maintenance overhead and costs.

#13

We perform the performance analysis and tuning without interrupting the user experiences and business operations.

For any PostgreSQL services and queries
feel free to reach us

Forenizence Limited provides PostgreSQL deployment, migration, monitoring, health checkup, configuration, performance tuning, optimization, upgradation, maintenance, backup, recovery, and support.

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PostgreSQLperformance analysis & tuning