NETSKRT

Shining a Light, on Internet Dark Spots

Internet Streaming, Content Delivery, Broadband Bandwidth

Industry : Information Technology

Services Offered

TechOps

App Optimization

DevOps

Our Client

Netskrt’s product is an edge Content Delivery Netskrt’s edge Content Delivery Network (eCDN) uses edge caching to make streaming video possible anywhere. As consumers increasingly get their news and entertainment from internet streaming services, they expect to access these services from anywhere - on the train, on airplanes, in remote areas and rural communities. Airlines, railways, Internet Service Providers are all struggling to meet this demand over constrained or unreliable network connections. Netskrt’s eCDN is the solution - intelligently caching content, improving the performance of streaming video and other WiFI applications, and at the same time, reducing demand on the backhaul network.

Business Requirements

1

End to end testing of the Netskrt solution

2

A skilled and experienced team of QA engineers

3

A structured and well- defined Software Testing/Quality Assurance process.

Challenges

Remotely onboarding and gaining a solid understanding of a complex product
Effective communication and alignment between teams working in different time zones
Efficient knowledge gathering on the product during client sync-ups
Establishing a Celestial test lab and troubleshooting set up issues
Mitigating downtime of Edge server in our lab; co-ordinating across time zones with Netskrt
Identifying environmental/networking/VPN issues vs software issues
Differentiating between product related issues vs CDN or player issues
Verifying whether issues are device category-specific or across multiple device categories and browsers
Reporting issues with sufficient information for development to reproduce and address

Celestial Solution

Test Case Writing

We divided the test cases based on core functional areas of the product and started working on creating a base set. Over time, we built on this to cover all major functionalities.

Analysis

We started by understanding the product and having multiple calls with Netskrt to understand the product and the requirement

Identify a tool
for writing Test Cases

Since Netskrt team was already using Atlassian, we chose Zephyr Scale which integrates well with their product.

Set up Query Sheets

Query sheets were shared with client. Since the teams were in different time zones, this worked as a collaboration platform - to record our queries and their answers.

Automation

Once we had enough test cases and had gained enough understanding of the product, automation was brought in place.For Automation, we have a Page Object Model (POM) based pytest automation framework that covers all kinds of test cases - UI, DB, and CLI.

We implemented a manual testing solution which covers multiple kinds of Functional Testing - Smoke, Sanity, Regression, Compatibility, Integration, System, Exploratory, Playability Testing etc. In automation, we also automated basic Smoke Testing and about 30% of the manual test case.

Project Execution

Followed Agile methodology for execution, each sprint was of two weeks.
Weekly client calls scheduled to provide updates on ongoing issues/defects
Weekly work completion reported over the calls
Regular daily activity: Ticket verification, Regression Testing, Play Testing, Bug/Defect filing, and Test Case writing

Technology Used

Functional + Non-Functional Testing

Outcomes

Established an efficient QA process for Netskrt

Identified defects and worked with Netskrt to pinpoint root cause and resolve

Collaborated with development to optimize product performance

Automated QA process to improve overall release time and quality