Appzlogic is a Leading Offshore Software Testing Company and Mobile Application Development Company in India. - Our Mobile App Developers helps Creates High Quality Apps for Startups & Enterprise Clients.
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Closing the month with focus, drive, and a commitment to meet every goal.
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Overview
Our client runs a cloud-based platform that turns complex data from sources like firewalls and SIEMs into clear insights for better decision-making. It uses advanced ETL processes to gather and process large volumes of data, making it easy for users to access accurate and real-time information.
Why They Chose Us
As they launched a new app, they needed a testing partner to ensure high performance and reliability. They chose Appzlogic for our expertise in functional and automation testing. We built a custom automation framework tailored to their needs.
Our Testing Strategy
We started with manual testing (sanity, smoke, functional, regression) and later automated key UI and API workflows. Poor data quality and manual ETL testing are major reasons why BI projects fail. We addressed this by ensuring data accuracy and reducing manual work.
Manual Testing Process:
Requirement Analysis: Understood the product and its goals
Scope Definition: Identified what to test
Test Case Design: Created test cases for all scenarios
Execution & Defect Logging: Ran tests and reported issues in JIRA
Automation Testing Results:
We reduced manual effort by 60%. Automated tests were created for data validation across AWS and Azure services. Modular and end-to-end tests boosted efficiency and coverage.
Source Data Flow Overview
These events flowed through the volume controller and were distributed across multiple processing nodes, with one rule node actively handling 1 event. The transformation stage processed 1 event, which was then successfully delivered to the Raw-S3-1 destination. This streamlined flow highlights a well-structured and reliable data processing pipeline.
Centralized Data Operations Briefly
The Data Command Center showcases a well-orchestrated flow of data with 2,724 sources feeding into 3,520 pipelines, resulting in 98.4k events ingested and 21.3 MB of log data processed, all at an average rate of 1 EPS (event per second). Every connected destination received 100% of the expected data with zero loss. Additionally, 51 devices were newly discovered and connected, with no pending actions. This dashboard reflects a highly efficient and reliable data pipeline system in action.
Smooth and Reliable Data Flow
The source TC-DATAGENERATOR-SOURCE-STATUS-1745290102 is working well and is active. It collected 9.36k events and processed 933 KB of data. All events were successfully delivered to the Sandbox with no data loss. The graph shows a steady flow of data over time, proving the system is running smoothly and efficiently.
Tools & Frameworks Used:
Python + Pytest: For unit and functional tests
RequestLibrary: For API testing
Selenium: For UI automation
GitHub + GitHub Actions: For CI/CD
Boto3: To work with AWS
Paramiko: For remote server access
Conclusion
Our testing helped the client build a reliable and scalable platform. With a mix of manual and automated testing, we boosted test accuracy, saved time, and supported their continued growth.
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Understand your readers better. At Appzlogic we help Publications to turns data into powerful insights.
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At Appzlogic, employee well-being isn't just a one-day focus, it is part of our everyday culture. Wishing everyone a Healthy World Health Day
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A Spoonful of Sheer, A Heart Full of Cheer
Eid is a celebration of unity and togetherness,
Wishing everyone a joyful Eid filled with love, laughter, and endless sweet moments!
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May this Holi fill your life with vibrant colors, endless joy, and sweet memories. Wishing everyone a colorful and safe Holi! - Team Appzlogic
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Exciting News!
We are excited to announce that Appzlogic will be participating in IndiaSoft 2025, the premier global networking event for the IT industry!
As a leader in Cybersecurity and AI Use Cases, we are excited to showcase our latest innovations and cutting-edge solutions that empower businesses to thrive in the digital era.
Join us at IndiaSoft 2025 to connect with industry experts, explore groundbreaking ideas, and discover how our tech-driven solutions can elevate your business. Let's collaborate and unlock new opportunities together!
Event Details:
Dates: 19-21 March 2025
Venue: Bharat Mandapam, New Delhi, India
Booth no: D-18
We look forward to meeting you there!
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How AI Is Helping The Virtual Assistant Word?
Artificial Intelligence is revolutionizing the world of virtual assistants, making them smarter, more intuitive, and highly efficient. Unlike traditional rule-based bots that operate on predefined scripts, modern AI-driven assistants leverage machine learning and natural language processing (NLP) to understand context, adapt to user interactions, and deliver personalized, human-like experiences.
These AI-powered virtual assistants are transforming businesses by automating repetitive tasks, streamlining workflows, and improving customer engagement. From handling inquiries and scheduling appointments to managing data and providing real-time insights, their applications are vast and continually evolving.
As technology advances, AI assistants will become even more powerful, integrating seamlessly with enterprise systems, understanding emotions, and predicting user needs with greater accuracy.
At Appzlogic, we take pride in being a leading IT service provider in India and across the globe, delivering cutting-edge AI solutions tailored to enhance automation for businesses. Our expertise in AI, data engineering, and cybersecurity ensures that our clients stay ahead in the era of intelligent automation.
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In the realm of software development, time is of paramount importance. The faster a product can be tested and deployed, the sooner it can reach the market, driving revenue and maintaining a competitive edge. This is where automated software testing services come into play, offering a transformative solution that accelerates timelines while maintaining high-quality standards.
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