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From Chaos to clarity , DevOps Excellence With Brain Station 23
Reading time - 5.2 min.
From Chaos to clarity , DevOps Excellence With Brain Station 23
Customer Profile
Taskstation is a revolutionary task tracking application developed in-house by Brain Station 23, a leading technology solutions company in Bangladesh. This innovative application was created to enhance the way daily activities are monitored and evaluated, ultimately replacing the manual processes. Taskstation provides a comprehensive and intuitive platform that ensures real-time visibility into task completion, enabling data-driven decisions and fostering efficiency within the organization.
Taskstation operates as a centralized digital hub where employees log their daily task lists and the duration required to complete each task. This information is collected and processed in real-time, providing managers and team leaders with a dynamic and accurate overview of ongoing tasks and projects. It also benefits the decision makers during employee performance review for fair and data-driven results. This pivotal innovation significantly contributed to the overall success and sustainable growth of the organization.
Challenges
During the pre and post implementation phases of the Taskstation application, Brain Station 23 faced several challenges in managing daily tasks and adapting to it. These challenges included:
- Inefficient Task Tracking: The manual process of tracking tasks was error-prone and time-consuming, leading to inaccuracies in assessing productivity. It was highly inefficient during resource allocation as well.
- Resistance to Change: Employees may be resistant to adopting a new task tracking system, especially if they are accustomed to existing tools and processes. Overcoming this resistance and ensuring buy-in from the workforce can be a significant challenge.
- Data Migration: Transferring existing task data and processes from the old systems to the new application can be a daunting task. It requires careful planning and data migration strategies to avoid data loss or inconsistencies.
- Integration with Existing Systems: Ensuring seamless integration with other existing software and systems used by the company, such as project management tools, email, and calendars, can be technically challenging. Compatibility issues may arise.
- User Training: Providing adequate training for employees to effectively use the new application is crucial. Inadequate training can lead to confusion and errors in data entry and retrieval.
- Performance Evaluation: The lack of a structured system for performance evaluation made it challenging to identify top performers, leading to inconsistencies in salary reviews and promotions.
- Data Accessibility: Data related to daily tasks and employee performance was scattered across various sources, making it difficult to extract actionable insights.
- Scalability: As the company grew, it needed a solution that could easily scale to accommodate a larger workforce without sacrificing performance.
Business Impact
The solution leveraged modern technologies and cloud-based infrastructure to ensure efficiency, accuracy, and scalability.
Front-end Development: The user-friendly front-end of Taskstation was built using the Go programming language (Golang), which offers high performance and excellent responsiveness.
Back-end Development: Vue.js, a versatile JavaScript framework was implemented to develop the application’s backend. Vue.js provides a dynamic and interactive user experience.
Cloud Hosting: Taskstation was hosted on Amazon Web Services (AWS) to guarantee reliability, scalability, and security. Key AWS services used included:
- Route 53 for domain management
- CloudFront for content delivery
- Amazon S3 for storing data and static files.
- Amazon EC2 for application server hosting
- AWS Lambda for serverless computing
- AWS Code Pipeline for continuous integration and delivery
- AWS Code Deploy for seamless application deployment.
- GitHub for version control
- Amazon Event Bridge for event-driven architecture
Implementation Phases
The implementation of Brain Station 23’s Task Management App involved the utilization of several AWS services to ensure optimal performance, cost efficiency, and resource optimization. By adhering to Infrastructure as Code (IaC) principles and harnessing the power of the Lifecycle Manager, we can expedite the recovery of our critical components in case of a disaster. This involves swiftly creating new core components, virtually eliminating downtime, and facilitating a rapid recovery process. Here’s an overview of the key AWS services used:
- Route53: Amazon Route 53 was employed for domain registration and DNS routing. It provided reliable and scalable domain name system (DNS) web services, ensuring that users could easily access the application.
- CloudFront: Amazon CloudFront was used as a content delivery network (CDN) to distribute the application’s content globally. This improved load times and user experiences while also reducing the load on the application servers.
- Amazon S3: Amazon Simple Storage Service (S3) served as the data storage solution, storing task-related data securely and efficiently. S3 allowed for easy data retrieval and backup.
- EC2 Instances: Amazon Elastic Compute Cloud (EC2) instances provided the compute capacity for running the application. Auto-scaling configurations ensured that the application could handle varying workloads effectively.
- Lambda Functions: AWS Lambda was used for serverless computer to handle various tasks, such as automation of routine processes, data transformation, and event-driven actions.
- EventBridge: Amazon EventBridge allows for real-time event-driven architecture, enabling seamless integration with other services and third-party applications.
- GitHub Integration: GitHub was utilized for source code management and version control, enabling collaborative development and codebase management.
- CodePipeline & CodeDeploy: AWS CodePipeline and AWS CodeDeploy facilitated the continuous integration and continuous deployment (CI/CD) of application updates, ensuring that new features and bug fixes were seamlessly rolled out.
Outcome
The implementation of Brain Station 23’s Task Management App, hosted on AWS, has led to significant improvements in performance efficiency, cost optimization, and resource management. The solution addressed the business challenges the organization faced by providing a centralized platform for task tracking and performance evaluation.
By utilizing Golang and Vue.js for front-end and back-end development, the application offers a user-friendly and interactive interface. The integration of AWS services such as Route53, CloudFront, S3, EC2, Lambda, CodePipeline, CodeDeploy, GitHub, and EventBridge has enhanced the application’s scalability and reliability.
Overall, the Task Management App has optimized resource time, improved data accessibility, and streamlined performance evaluations. It is now a critical tool in Brain Station 23’s quest for efficient task management and employee performance assessment, contributing to the company’s overall success and growth. The successful integration of AWS services has not only improved the application’s efficiency but has also resulted in substantial cost savings, making it a well-architected and future-proof solution.
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