Deepesh Rastogi

Most of the points are already mentioned in the study... let me add. 1. Automation: Implement automation for repetitive tasks such as deployments, scaling, backups, and recovery processes. Automation not only simplifies operations but also reduces the risk of human errors. 2. Maintaining log book of usage by each application to help understand the behavior & resource usage of the application on cloud; 3.Serverless Architectures: Consider serverless computing for appropriate use cases to abstract the server management and infrastructure concerns. 4. Monitoring and Analytics: Implement robust monitoring and analytics to gain insights into system performance and user behavior. 5. Documentation and Training

Most important part of effective collaboration is that there exists a Feedback Loop that can be trusted, this helps in continuously improving products, services, and customer interactions. Be adaptable and responsive to customer needs and market changes. Be transparent with customers about your processes and changes. Trust is built when customers feel they are being heard and their feedback is valued and acted upon. Remove biases and add Data-Driven Decision Making.

Most features are already covered, so sharing some additional : Link Asana with version control systems like Git to streamline your software development workflow. This allows for better tracking of changes and issues related to specific tasks. Utilize the reporting features to generate insights on project progress, workload distribution, & completion rates. This is crucial for managing larger or long-term software projects. Foster a culture of collaboration by encouraging team members to comment, share ideas, and ask questions within Asana. This enhances team communication and problem-solving. Ensure that all team members are trained in using Asana. Provide resources or training sessions so as to use the tool effectively.

Transitioning to cloud infrastructure eliminates the need for extensive capacity planning.It requires identifying a dynamically scalable size tailored to the needs of an application. The initial step involves comprehending application's needs & understanding the usage patterns of the infrastructure. Subsequently, implement a continuous cycle of monitoring & optimization for the cloud infrastructure. Simultaneously, it is crucial to architect the application to leverage cloud-native services & implement serverless solutions where applicable. Some cloud waste is needed for ensuring high availability of an application under varying loads. Thus identifying that essential delta is required to mitigate inefficiencies v/s necessary.

Different countries often have their own preferred and widely used payment gateways based on factors such as local regulations, banking infrastructure, and consumer preferences. Here are some of the considerations before finalizing payment gateway for your ecommerce portal 1. Local regulations 2. Currency and Language Support 3. Banking Infrastructure 4. Consumer Preferences 5. Multi Country / Multi Currency implementation - Global vs. Local Players 6. Security and Compliance 7. Integration with Local Banks Businesses operating in multiple countries often need to consider these factors when selecting payment gateways to ensure they can meet the specific needs and preferences of their target markets, often integrate with multiple gateways.

It is difficult to find the skilled data architects & ERP architects who can help develop the correct & scalable data & integration architecture within the enterprise. Moreover, without proper Data Governance Framework, Data Cleansing or Archival policies also result in lot of data issues. Over the year, this results in issues with the 1 Data quality, where there are lot of duplicates, erroneous, outdated, inconsistent, unwanted data getting accumulated and hence impacting the performance of the ERP. 2. Increases complexity of data where it is difficult to scale it to the new business requirements, and processes 3. All of this makes it difficult to bring any change in the ERP, & creates problem in data migration & integration.