Technology Category
- Application Infrastructure & Middleware - Data Exchange & Integration
- Application Infrastructure & Middleware - Middleware, SDKs & Libraries
Applicable Industries
- Buildings
- Construction & Infrastructure
Applicable Functions
- Maintenance
- Quality Assurance
Use Cases
- Experimentation Automation
- Leasing Finance Automation
Services
- System Integration
- Testing & Certification
The Customer
Sprinklr
About The Customer
Sprinklr is a technology platform that helps large brands create and manage social campaigns. They were struggling with an unstable and unreliable test suite that was developed by another company. The tests were time-consuming and could not be integrated with other testing and DevOps tools. The architecture of the test suite was not scalable and was difficult to maintain for a large number of tests. The team was unable to rely on the tests for release decisions. They needed a solution that would stabilize their automated tests, increase their speed, and allow for integration with third-party tools.
The Challenge
Sprinklr, a tech platform designed to assist large brands in creating and managing social campaigns, was facing significant challenges with their testing processes. The existing test suite, developed by another company, was unstable and unreliable. Each test run resulted in a different number of randomly failed tests, making it impossible for the team to rely on the tests for release decisions. The tests were time-consuming, often taking several hours to complete. The architecture of the test suite was not scalable and was difficult to maintain for a large number of tests. Furthermore, the tests could not be integrated with other testing and DevOps tools. The challenge was to build a formal QA process, stabilize automated tests, increase their speed, redesign the architecture to support integration with third-party tools, and keep test documentation up to date.
The Solution
DeviQA took on the challenge and designed the architecture of the test framework from scratch. They developed over 2,000 auto-tests and built a test suite that ran these tests using 16 threads on multiple machines, significantly speeding up the testing process. They also improved test speeds by adding the prerequisite testing data directly to the database. A team of seven people performed full cycle testing of the project, significantly improving the quality of the product. The automated tests were integrated with Jenkins, TestRail, and Jira to create a complete test ecosystem. Performance testing was also implemented using JMeter, with the suite and all scenarios created from scratch. Remote monitors were set up on the server side and configured to catch metrics. The automated and performance tests were integrated into a Continuous Integration process, enabling the team to detect and solve issues promptly.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
![](/files/casestudy/Energy-Saving---Power-Monitoring-System.png)
Case Study
Energy Saving & Power Monitoring System
Recently a university in Taiwan was experiencing dramatic power usage increases due to its growing number of campus buildings and students. Aiming to analyze their power consumption and increase their power efficiency across 52 buildings, the university wanted to build a power management system utilizing web-based hardware and software. With these goals in mind, they contacted Advantech to help them develop their system and provide them with the means to save energy in the years to come.
![](/files/casestudy/IoT-System-for-Tunnel-Construction.png)
Case Study
IoT System for Tunnel Construction
The Zenitaka Corporation ('Zenitaka') has two major business areas: its architectural business focuses on structures such as government buildings, office buildings, and commercial facilities, while its civil engineering business is targeted at structures such as tunnels, bridges and dams. Within these areas, there presented two issues that have always persisted in regard to the construction of mountain tunnels. These issues are 'improving safety" and "reducing energy consumption". Mountain tunnels construction requires a massive amount of electricity. This is because there are many kinds of electrical equipment being used day and night, including construction machinery, construction lighting, and ventilating fan. Despite this, the amount of power consumption is generally not tightly managed. In many cases, the exact amount of power consumption is only ascertained when the bill from the power company becomes available. Sometimes, corporations install demand-monitoring equipment to help curb the maximum power demanded. However, even in these cases, the devices only allow the total volume of power consumption to be ascertained, or they may issue warnings to prevent the contracted volume of power from being exceeded. In order to tackle the issue of reducing power consumption, it was first necessary to obtain an accurate breakdown of how much power was being used in each particular area. In other words, we needed to be able to visualize the amount of power being consumed. Safety, was also not being managed very rigorously. Even now, tunnel construction sites often use a 'name label' system for managing entry into the work site. Specifically, red labels with white reverse sides that bear the workers' names on both sides are displayed at the tunnel work site entrance. The workers themselves then flip the name label to the appropriate side when entering or exiting from the work site to indicate whether or not they are working inside the tunnel at any given time. If a worker forgets to flip his or her name label when entering or exiting from the tunnel, management cannot be performed effectively. In order to tackle the challenges mentioned above, Zenitaka decided to build a system that could improve the safety of tunnel construction as well as reduce the amount of power consumed. In other words, this new system would facilitate a clear picture of which workers were working in each location at the mountain tunnel construction site, as well as which processes were being carried out at those respective locations at any given time. The system would maintain the safety of all workers while also carefully controlling the electrical equipment to reduce unnecessary power consumption. Having decided on the concept, our next concern was whether there existed any kind of robust hardware that would not break down at the construction work site, that could move freely in response to changes in the working environment, and that could accurately detect workers and vehicles using radio frequency identification (RFID). Given that this system would involve many components that were new to Zenitaka, we decided to enlist the cooperation of E.I.Sol Co., Ltd. ('E.I.Sol') as our joint development partner, as they had provided us with a highly practical proposal.
![](/files/casestudy/Intelligent-Building-Automation-System-and-Energy-Saving-Solution.png)
Case Study
Intelligent Building Automation System and Energy Saving Solution
One of the most difficult problems facing the world is conserving energy in buildings. However, it is not easy to have a cost-effective solution to reduce energy usage in a building. One solution for saving energy is to implement an intelligent building automation system (BAS) which can be controlled according to its schedule. In Indonesia a large university with a five floor building and 22 classrooms wanted to save the amount of energy being used.
![](/files/casestudy/Powering-Smart-Home-Automation-solutions-with-IoT-for-Energy-conservation.png)
Case Study
Powering Smart Home Automation solutions with IoT for Energy conservation
Many industry leaders that offer Smart Energy Management products & solutions face challenges including:How to build a scalable platform that can automatically scale-up to on-board ‘n’ number of Smart home devicesData security, solution availability, and reliability are the other critical factors to deal withHow to create a robust common IoT platform that handles any kind of smart devicesHow to enable data management capabilities that would help in intelligent decision-making
![](/files/casestudy/Splunk-Partnership-Ties-Together-Big-Data---IoT-Services.png)
Case Study
Splunk Partnership Ties Together Big Data & IoT Services
Splunk was faced with the need to meet emerging customer demands for interfacing IoT projects to its suite of services. The company required an IoT partner that would be able to easily and quickly integrate with its Splunk Enterprise platform, rather than allocating development resources and time to building out an IoT interface and application platform.