EndorsedendorsedCompleted

PostgreSQL Tuning and Monitoring for Ranktracker

Services Covered:

Big Data Analytics and Business IntelligenceCustom Software Development
Project hero — replace with case study imagery
Industry
Industry

Advertising & Marketing

Duration
Duration

10 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 December 2021

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
77/100
Good

Project Capability Score (PCS) estimates how capable DATAFOREST is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

Ranktracker

map Poland

Project Summary

DATAFOREST tuned PostgreSQL configuration and improved the master/slave reliability for a rank-tracking SaaS client. They identified bottlenecks (idle connections, high CPU waits, excessive locks), implemented Prometheus and Grafana monitoring for real-time analysis, and delivered the work on schedule while maintaining clear communication.

Key Challenges

  • Tune PostgreSQL configuration and improve the reliability of the master/slave setup

Project Deliverables

  • Tuned PostgreSQL configuration file
  • Improved the reliability of the master/slave setup
  • Implemented Prometheus monitoring and Grafana master/slave dashboards

Project Solution

DATAFOREST assigned a team (6-10 employees) including experienced database engineers to fine-tune the client's PostgreSQL configuration and improve master/slave reliability. They diagnosed issues such as idle connections, high CPU waits due to kernel IO, excessive locks, long transactions, IOPS bottlenecks, and replica sync delays, and proposed and implemented targeted solutions including monitoring systems.

Project Outcome

  • Quickly identified configuration weaknesses causing replication lag
  • Implemented Prometheus and Grafana monitoring for real-time master and slave dashboards
  • Improved database reliability and delivered the project on schedule

Platforms

  • Embedded SystemEmbedded System

Tech Stack

  • PostgreSQLPostgreSQL

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

DATAFOREST successfully identified issues with the client's setup and proposed effective solutions, demonstrating vast expertise and professionalism. Their PostgreSQL knowledge was outstanding, as was their attention to detail and valuable insights. Moreover, they were efficient and communicative.

Felix Rose-Collins

CEO

Note: This endorsement is based on publicly available client feedback from external review sources.

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