Agile Case Study
ScienceLogic's Journey in Augmenting Product Engineering
How Jalasoft's developers supported an ITOM and AIOps company from concept design to production delivery and ongoing support.
Summary: What We Learned, and What We Delivered
ScienceLogic expanded its large-scale Agile Product Engineering teams with the support of Jalasoft. By leveraging our world-class recruitment process, we identified and trained engineers tailored to their specific needs. This allowed ScienceLogic to maintain its Agile workflow and ensure continuous delivery of high-quality software to production
Industry
IT Operations Management and Artificial Intelligence for IT Operations
Partnership Length
Ten years
Team Size
43 engineers
Engagement model
About ScienceLogic
ScienceLogic is a leader in IT Operations Management (ITOM) and Artificial Intelligence for IT Operations (AIOps), delivering actionable insights to swiftly predict and resolve IT issues. ScienceLogic is dedicated to simplifying the management of complex IT services. The company’s innovative solutions empower intelligent, automated IT operations, allowing organizations to operate at speed and scale.
ScienceLogic's Critical Need for Skilled Engineers
The client needed to continuously expand its large-scale agile Product Engineering teams. They required a variety of skilled professionals, including Python engineers, JavaScript engineers, Testers and Test Automation engineers. Finding and integrating these resources seamlessly was crucial for maintaining their agile development workflow and delivering working software to production.
Jalasoft’s Strategic Plan for Agile Product Engineering
We selected a dedicated team of highly skilled professionals tailored to the client’s needs, including Python engineers, JavaScript developers, meticulous testers, and advanced test automation engineers. This carefully curated mix of talent ensured comprehensive expertise, allowing us to address every aspect of the project with precision and deliver outstanding results seamlessly. We designed an exclusive working plan for our client, that included:
Continuous staff augmentation project
A continuous, thoughtfully orchestrated staff augmentation project designed to bring lasting impact.
Client's environment
The client’s environment was a dynamic, large-scale agile Product Engineering shop—perfect for Jalasoft’s tailored approach.
Jalasoft team members participation
Our talented team members would be engaged every step of the way, from innovative design to flawless production delivery and ongoing support. Jalasoft leveraged its world-class recruitment process like never before, identifying and training engineers who fit ScienceLogic’s needs to perfection.
Selecting the perfect candidates
The magic behind our success? Jalasoft’s unique training system—engineered to mold top-tier talent with precisely the technologies the client needed.
Key Technologies Used for ScienceLogic's Success
These technologies were used for software development, manual testing, and automation testing, covering all parts of the project.
Python
Cucumber
Test Cafe
JavaScript
What ScienceLogic Found in Us: Talent To Trust
Agile Staff Augmentation for Artificial Intelligence Development
Our Results: Engaged at Every Step of the Software Development Journey
Reduced Attrition
Our attrition rates are significantly lower than the industry average, providing ScienceLogic with a stable and reliable talent pool. Jalasoft maintains a historically single digit attrition rate, reflecting our commitment to a positive and supportive work environment.
Seamless Integration
Our team members became fully integrated members of ScienceLogic's development teams.
Learning environment
Our team structure fostered a strong learning environment. Junior team members, known as Jalasoft's athletes, received valuable mentorship in design and architecture, allowing their strong technical skills and eagerness to learn to shine through and contribute significantly to the project.
Streamlined Workflow
Communication between ScienceLogic and Jalasoft was collaborative and partnership oriented. Rate discussions felt transparent and focused on achieving mutually beneficial outcomes.
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