Practical Logix - QA partner for complex ETL and data scraping project - Fleek IT Solutions
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Practical Logix – QA partner for complex ETL and data scraping project

About This Project

Fleek QA team is working with Practical Logix to support their QA operations and production support. Working in  onshore-offshore collaboration with Practical Logix; we have successfully delivered many projects using agile methodology.

Key responsibilities

  • Overall product quality
  • Complete test management
  • Regression testing
  • API testing
  • Maintaining test plans
  • Service logs analysis
  • Performance and Load testing
  • API automation
  • Functional test automation
  • Working closely with devops team for deployments

Collaboration and management tools

Project management and test management tools played an important role in successful collaboration as it helped a lot in planning, systematizing, and administering the scope, budget, and time for each project. We used following management tools

jiratrello testrailConfluence

Test automation tools

Following open source automation tools helped a lot in delivering a highly performing and reliable products, and helped in reducing the manual testing efforts for repeated tasks, smoke testing and regression testing

  • Jmeter
  • Protractor
  • Selenium Webdriver
  • Postman

Technical stack

Every day QA team working closely with different project team and devops to work on following technologies

  • AWS EC2 Instances
  • EC2 Autoscaling / Multi-AZ
  • AWS Lambda
  • Amazon API Gateway
  • Microservices
  • Redis (Cache System)
  • Persistent Storage : AWS Redshift
  • Persistent Storage : Amazon Aurora
  • CDN : AWS S3 and Amazon Cloudfront
  • Elastic Search(Kiabana) : AWS Elastic Search Service
  • Elastic Load Balancer : AWS Elastic Load Balancer AWS Network Load Balancer
  • Amazon CloudWatch: logs analysis and management
  • Azkaban : Jobs management and executions
  • PostgreSQL
  • Redis: Redis is an in-memory datastore.
Category
Core QA service, Cross platform testing, Load testing
Tags
API, AWS, Database, Jmeter