Simform

Modernization keeps Products relevant. - If they evolve: We use them. - If they don't evolve: We don't use them. This applies everywhere, including Digital Products! Today, we don't want to explain anything complex to you. But only want to show you how vital Modernization is! Here, we've curated some real-life examples of products! They had entered our lives many years ago! And by swiping this carousel, you'll understand what would have happened if these products had not evolved? ➡️ Our recommendation? Create a plan to modernize your software now! PS: Curious to know your age when you first saw this product! #softwareengineering #softwarearchitecture #modernization #simform

Our health-critical mobile application helped a WHO-backed NGO achieve success in their global dog vaccination campaign, including a 2x improvement in project management efficiency. Here’s their story 👇🏻 THE CHALLENGE: So, the NGO was facing some serious operational inefficiencies. Imagine trying to run a vaccination campaign in regions with inconsistent connectivity – not easy, right? They needed a solution that could synchronize data accurately, both online and offline, to ensure their vaccination efforts were effective. Without this, their mission was at risk. OUR APPROACH: We took on the task of developing a complex mobile application that would not only meet their needs but also empower their teams on the ground. Here’s what we came up with: 1. Real-time location tracking Used socket technology for precise tracking of vaccination teams. This boosted their operational efficiency and ensured they were always on the right path. 2. Dynamic form generation Field workers needed to collect data on the go, so we implemented dynamic form generation. This allowed them to easily create and manage customized forms, making data collection a breeze. 3. Advanced mapping solution We integrated advanced mapping capabilities to enhance project execution and resource allocation. This meant effective navigation and better use of resources. 4. Custom reporting tool Using PowerBI, we provided powerful analytics tools. These enabled the NGO to make informed, data-driven decisions, improving the overall impact of their efforts. 5. Scalability & security The application was designed to grow with the organization, ensuring it could handle increasing demands while maintaining strict data security. IMPACT: And the results? Absolutely impressive. - 1,306,604 vaccinated dogs - Successful field operations in 16+ countries - 2x improvement in project management efficiency It’s not just about building an app; it’s about creating something that makes a difference. This is what we love doing! --- Future-proof your organization with Gen AI and Cloud. How? Subscribe to my weekly newsletter to get detailed insights. 👉 Link in my profile bio, Hiren Dhaduk!

The brutal truth about free cloud services: They come with hidden costs. Like: ⚠️ Limited service availability ⚠️ Poor disaster recovery ⚠️ Unexpected expenses ⚠️ Vendor lock-in risks ⚠️ Skill mismatches But if you want to choose right service provider! Then don't choose based on price alone. Free tiers can lead to unexpected expenses and vendor lock-in. Instead, focus on these 5 aspects: #1. Current Ecosystem Overview - Understand your existing infrastructure. - Identify dependencies and compatibility. #2. Organizational Skill Assessment - Evaluate your team's cloud expertise. - Plan for necessary training. #3. Relevant Service Availability Assessment - Ensure required services are available. - Check for geographic limitations. #4. Future Cloud Infrastructure Plans - Consider scalability needs. - Plan for future growth and integration. #5. Disaster Recovery Strategies - Have robust backup and recovery plans. - Ensure compliance with regulatory requirements. Bottomline: First, evaluate your tech and business needs carefully. Consider the cloud service provider's customer support quality. Look at how widely the community is advocating their services. Then, see which cloud provider will be a good fit. But you should understand that the cloud is a necessity and no longer an option. PS. When considering your next cloud service provider, which aspect will you look into first? PPS. Follow Simform for more such insights! #cloud #cloudengineering #aws #azure #gcp #multicloud #simform

For digital enterprises, the key to future success lies in strategic AI deployment. Yet, many businesses don’t want to adopt AI’s capabilities. Here's what they might be missing out 👇🏻 Customer-centric solutions ⤷ AI can predict customer needs ⤷ AI can provide timely solutions ⤷ AI Offers 24/7 customer support ⤷ Analyse customer feedback for insights Personalization ⤷ AI can tailor features ⤷ Focus on individual user experiences ⤷ Enhance user engagement & satisfaction ⤷ Offers personalized product recommendations Efficiency ⤷ Offer automated AI workflows ⤷ AI optimizes resource allocation ⤷ Increase the overall productivity ⤷ Reduce the chance of human error ⤷ Predicts equipment failures, reduces downtime Innovation ⤷ Identifies emerging market trends ⤷ Provides deep insights from big data ⤷ Supports data-driven decision-making ⤷ Accelerate time to market for new products Security ⤷ Ensure regulatory compliance ⤷ Detects and mitigates security threats  ⤷ Identifies and prevents fraudulent activities The journey towards a digitally transformed enterprise isn’t about chasing perfection; it’s about leveraging AI strategically. As Andrew Ng said, "We can build a much brighter future where humans are relieved of menial work using AI capabilities." This future is within reach with AI. === PS. Visit my profile, Hiren Dhaduk, & subscribe to my weekly newsletter: - Get product engineering insights. - Catch up on the latest software trends. - Discover successful development strategies. #artificialintelligence #automation #customerexperience #softwareengineering

You've experienced seamless communication in Slack. But you barely know how they manage it for millions of users! From global scalability to enhanced user experience, we’ve got the insights you need. ➜ Discover Slack’s real-time messaging architecture. ➜ Learn rapid, reliable message delivery techniques. ➜ Enhance UX with low latency and smart handling. ➜ Scale seamlessly for growing demands. Sameera Thangudu, senior software engineer at Slack, explains the importance of this architecture:   "Our servers handle tens of millions of channels and clients per host, delivering global messages in 500ms. With our scalable architecture, we can serve many more customers."   Swipe and uncover the secrets behind Slack’s seamless communication for millions! >>> #slack #scalability #softwareengineering #simform

Peak performance in AWS architecture is a must.  Yet, many are still underperforming.  Here’s why: 1. You're paying for unused storage 2. Your AWS bill spikes unexpectedly. 3. Your databases are oversized and costly. 4. Tracking expenses across accounts is difficult. 5. Your EC2 instances are running at low utilization. 6. Your security groups are overly permissive. 7. Your reserved instances are underutilized. 8. Database queries are timing out. 9. Your app responds too slowly. 10. Your network latency is high. 11. Your audit logging is inadequate. 12. Your IAM policies are inadequate. 13. Your data in transit is unencrypted. 14. Your app can't handle traffic spikes. 15. Your data residency controls are insufficient. 16. Your disaster recovery plan is incomplete. 17. Your single-region deployment is risky. 18. Your backup strategy is unreliable. 19. Your auto-scaling is inefficient. 20. Your manual scaling is slow. 21. Your alerts are delayed. 22. Your environments are inconsistent. 23. Your deployment process is manual. 24. Your resource usage visibility is poor. 25. You lack infrastructure-as-code practices. 26. You're running outdated instance types. 27. Your data storage strategy is inefficient. 28. You're using deprecated AWS services. 29. You neglect updates and patches. 30. Your monitoring is not proactive. 31. Your data transfer is unoptimized. 32. Your API management is inconsistent. 33. Legacy cloud integration is challenging. 34. Managing your hybrid cloud is complex. 35. Your data lifecycle management is lacking. Improving your AWS operations involves regular inspections of your cost and usage, unused AWS services, alerting mechanisms, "top talker" account activity, and execution failures. If you face any of these issues in your architecture, now is the optimal time to take immediate action. Found this useful? Follow Simform for more AWS insights! #aws #awscloud #awsarchitecture #cloud #cloudarchitecture | Amazon Web Services (AWS)

The foundation of any AI system is the data it is trained on. But what happens when that data is trained by inherent biases? The consequences can be far-reaching and devastating. Here are some key considerations: 1. Sampling bias: If the data used to train AI is not representative of the population, the AI will make decisions based on that limited and potentially biased view. 2. Correlation vs. Causation AI might notice, for instance, that there are fewer Black women in computer programming. However, it could amplify the problem by refusing to hire qualified Black women for programming jobs because it deduces that Black women make worse programmers. This is a classic example of how AI can perpetuate existing biases. To mitigate these biases, we need to adopt a proactive approach that involves several steps: 1. Data Quality and Representation Ensure that the data used to train AI models is diverse and representative of the population. Use techniques like data augmentation to expand the training data and reduce bias. 2. Debiasing Techniques Implement debiasing methods that change the word vectors used in AI models. These methods can help reduce language biases and stereotypes. Develop tools that analyze the training data for bias and provide insights on adjusting the data to reduce biases. 3. Ethical Considerations Incorporate ethical principles into the development and deployment of AI systems. Ensure that AI systems are transparent and explainable, allowing users to understand how decisions are made. 4. Continuous Monitoring Regularly monitor AI systems for biases and update them as needed. Implement feedback mechanisms that allow users to report biased outcomes and enable the AI to learn from these experiences. The consequences of biased AI extend far beyond just ethical concerns. From economic displacement to the potential for malicious misuse, the stakes have never been higher. Despite these challenges, AI holds tremendous promise. In fact, popular leaders like Bill Gates believe that Generative AI is the key to solving some of the major problems and making the world a better place. It's time to take a proactive stance and ensure your AI is a force for good. === PS. Visit my profile, Hiren Dhaduk, & Subscribe to my newsletter that can help you build a future-proof organization with Gen AI & cloud. The latest edition was released yesterday. It covers: - How Addidas functions and enables the digital revolution - Continuously evolve core systems, data, and automation - Revolutionize product design with generative AI #ai #genai #generativeai #artificialintelligence #AWS

It takes weeks & months to decide when to transition to a microservices architecture… (Better to go slow instead of taking WRONG turn) We disagree! Why? Because this happens only when you’re doing it unguided. To ensure you can make faster decisions, we are sharing key indicators of when we make an architectural move 👇 ➢ Complex Monolith: If we notice a complex monolith where developers struggle to understand the full end-to-end flow, we will break it into microservices. ➢ Organizational Maturity: Having the organizational maturity and staff to support the added complexity of microservices is crucial. This typically requires more than just a few developers. When our teams have a clear understanding of the business capabilities that should be separated into microservices, we proceed with the transition. ➢ Multiple Independent Teams: Microservices come into play when we have multiple teams that need to work independently on different parts of the application. This allows teams to deploy changes without coordinating with each other. ➢ Specific Technical Scaling Needs: We adopt microservices for specific technical scaling needs, such as scaling certain components independently due to high traffic. However, microservices are not necessary just for horizontal scaling - we can also scale a monolith effectively. David Heinemeier Hansson, CTO of 37signals (Makers of Basecamp + HEY), said in one interview that the microservice pattern is possibly the most damaging pattern in web services in a decade! And we agree with him to a certain extent. That’s because many adopt microservices without fully understanding their own needs, often underestimating the advantages of monoliths. You should take that leap only when you see that Microservices clearly outweigh the added complexity. #appmodernization #microservices #cloudmigration #simform

Slow load times and frequent app crashes... They are silent killers of your business. But you can solve this! 👇 I've witnessed firsthand how application modernization strategies can transform struggling systems into high-performing, scalable powerhouses. Here are 6 key strategies for app modernization (they improve app’s performance & scalability) 1. Cloud-Native Architectures: - Assess the Current Architecture. - Adopt Containerization. - Leverage Managed Cloud Services. This will allow applications to scale seamlessly to meet growing demands while maintaining high levels of performance and reliability. 2. Microservices: - Identify Microservice Boundaries. - Implement Asynchronous Communication. - Implement Service Discovery. This will enhance scalability by enabling each service to scale independently, reducing the impact of increased traffic on the entire application. 3. DevOps Practices: - Implement CI/CD pipeline. - Adopt Infrastructure as Code. - Implement Monitoring and Observability. This will help with rapid deployment and testing, ensuring that applications are always up-to-date and performant. 4. Refactoring and Migration: - Assess Technical Debt. - Modernize Legacy Components. - Implement a Phased Migration. This will improve performance by optimizing code efficiency and reducing latency. 5. Integration and Interoperability: - Identify Integration Points. - Leverage API-Driven Design. - Implement API Management. This will enhance the overall performance and scalability of applications by enabling them to interact with other systems efficiently. 6. User Experience Enhancement: - Conduct User Research. - Optimize User Workflows. - Implement Responsive Design. This will reduce the load on applications, thereby enhancing performance and scalability. But, just like Pearl Zhu points out, never take a blinded action while modernizing your application. Start by doing some careful, painstaking business analysis. Taking the right steps can ensure a smooth transition that maximizes the benefits - improved performance, cost efficiency, scalability, and enhanced security. ====== PS. Visit my profile, Hiren Dhaduk, & subscribe to my weekly newsletter: - Get product engineering insights. - Catch up on the latest software trends. - Discover successful development strategies. #microservices #awscloud #cloudmigration #softwareengineering #simform

The real reason most AI projects struggle: It's not data. It's not algorithms. It's not computing power. It's this 👇 Organizations are trying to build models from scratch. Please don’t! Instead, use these 5 approaches to avoid this trap: #1. Leverage Pre-Trained Models and Transfer Learning ↳ Faster Training: Start with a solid foundation by utilizing pre-trained models. ↳ Higher Accuracy: Leverage rich knowledge from these models and fine-tune them to suit your specific needs. #2. Faster Deployment and Rapid Prototyping ↳ Swift Implementation: Test your ideas quickly using pre-existing AI models and tools. ↳ Quicker to Market: Shorten development cycles, enabling business innovation and competition. #3. Lower Costs with Cloud-Based AI Services ↳ Less Computing Power: Use cloud-based AI services that provide ready-to-use AI functionalities. ↳ Lower Entry Barriers: Eliminate the need for large teams, making AI accessible to more businesses. #4. Better Performance through AutoML and MLOps ↳ Automated Processes: Implement AutoML platforms to automate many parts of the machine learning process. ↳ Quality and Speed: Embrace MLOps to maintain the quality and improve the speed of AI model development and deployment. #5. AI for Everyone through Skill Building ↳ Wider Adoption: Lowering of entry barriers and costs leads to more businesses adopting AI. ↳ Skill Building: Allows newcomers to start with AI, fostering skill building and driving industry innovation. If you ask us, then these steps are the extended version of what Matt Wood, VP of AI at AWS, said at AWS Summit Los Angeles 2024: "Today, it is easier to be able to build your own application from scratch, which is exactly what you need, than it is to be able to find one in a catalog and personalize it." Companies are taking advantage in the right way. You should do it too! Found this helpful? Follow Simform for more Gen AI insights. #genai #generativeai #ai #artificialintelligence #simform