Here's how you can proactively address potential disruptions as a System Architect in the industry.

To add: - A simple strategy is to start with all the "Actors and Personas" - Here, the actor could be categorized as SysAdmin, CTO, Developer, 3rd Party, Contractors, Service 2 Service, Application User, SRE, etc. This helps identify risk granularly and provides various "Touchpoints". - Once you have "touchpoints" and "actors" defined you can define the "Exposure" to the system. - The "exposure" helps in creating "Guard Rules" - With the help of "exposure" and "guard rules" we can define "breach" boundaries. More restrictive are better to start with. - Now, "observability" becomes important. With a combination of all the above and "breach" boundaries defined, you must introduce "logging", "monitoring" and "alerting".

Risk assessment , which I did during my tenure at #Paytm, played a crucial role to ensure minimal downtime and seamless transition of #PaytmPG from traditional Data Centers to Cloud . Identifying Stakeholders and Connectivity Issues: We identified all products utilizing our APIs and potential connectivity issues. Assessing Configuration Changes : Implemented code to support both data center and cloud infrastructure, and tested these changes in a non-production environment to ensure stability and reliability before full deployment. Gradual Traffic Migration: To identify any overlooked use cases, we adopted a phased approach to traffic migration, by incrementally shifting traffic by percentage and individual product.

During a major system upgrade, I conducted a comprehensive risk assessment and discovered several security gaps. By updating our security protocols and implementing redundancy, we prevented potential breaches and ensured smooth operation, reinforcing the importance of proactive vulnerability management.

In addition to any ISO 27001 security policies it's important to monitor data traffic from MZs/DMZs. Alerts and automated shutdown can mitigate sensitive data leakage. Don't trust your security strategy to a single layer and add redundancy and safeguards for critical paths.

Graphs displaying response time, turnaround time, CPU utilization, and other system resource metrics are invaluable for identifying traffic trends. They enable us to pinpoint peak resource demand, determine the required resource allocation, and identify bottlenecks. This insight is crucial for cost optimization and efficient resource management.

Scalability planning & redundancy go hand in hand. You should always scale key system components to have monitoring and plan B, C, D .... Diversity is something that is frequently overlooked here as often failover components use the same dependencies and could therefore fail in cascades. It's better to host API X on 3 containers using a different OS than using the same one but also more expensive to maintain.

Regular updates and software patching are essential for several reasons: Security: Patches fix vulnerabilities that could be exploited by attackers, protecting systems from malware, ransomware, and other security threats. Performance: Updates often include performance enhancements that can improve system stability, speed, and efficiency. Compatibility: Software updates ensure compatibility with the latest technologies, hardware, and other software, preventing potential conflicts and issues. Feature Improvements: Regular updates can introduce new features and functionalities, enhancing the user experience and keeping the software current with industry standards.

Because technology always changes, everyone needs to train on the next technology just to keep up. If your company does not sponsor training, your staff will lose talent to companies that do sponsor training. Pay for training because that shows your staff that you value your employees. Take the training the training because that shows your employer that you value your career. Look for what is the next big technology. Train as many of your people as possible. Also get as many of your staff to make different choices as possible. It takes a team to handle a data center.