The modern software architect is often bottlenecked not by a lack of knowledge, but by the sheer volume of context they must maintain. Scalability constraints, compliance guardrails, cloud service limits, and legacy entanglements create a cognitive burden that makes pure design difficult. Read my new article on – How AI is redefining the Application Architecture Design process – https://www.linkedin.com/pulse/how-ai-redefining-system-design-process-praveen-zohtc
-
-
Read my latest article on agentic AI adoption in Platform Engineering on Medium. https://ninethsense1.medium.com/platform-engineering-2-0-the-rise-of-ai-native-devops-5b6c9510decc?sk=eadef43fd8cf604c21105ff055d9aead We spent years asking developers to care about infrastructure, aka follow the DevOps culture. AI-Native Platform Engineering now effectively says, “Actually, forget it. The AI handles the infrastructure now! You just focus on code”
-
Takeaways Read the Whitepaper here: https://www.linkedin.com/posts/ninethsense_the-deterministic-ai-agent-a-dual-brain-activity-7402527472975568896-xW1k?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAEqPm8Bief48CxwsnTrzIyprD5rdLx_zjU
-
If you are building an AI-powered application today, the way you expose your models through APIs can make a big difference in scalability and developer experience. FastAPI has become one of the most popular choices for creating robust, production-ready APIs, especially for AI and LLM-based workloads. It is fast, type-safe, asynchronous, and easy to work with, which makes it ideal for developers who want both speed and clarity. While Flask, Django, BentoML, and Ray Serve are all valid alternatives, FastAPI provides a good balance between simplicity and performance. For enterprise-level applications, however, more powerful frameworks like Ray Serve or BentoML…
-
Only 100 days left in 2025, including today! I’ve put together a 100-day learning and reading plan on practical generative AI, perfect for those who already know the basics and want to level up. Visit: https://github.com/ninethsense/AI/blob/main/100-days-of-AI.md
-
The groups is active as of today, and is expected to keep the group for next 6 months. Please excuse me if the joining link is not working. https://chat.whatsapp.com/GYAji4HN7xdI3b4yEkHXXJ
-
An answer of definite YES or NO is highly irrelevant here, because a Microservice can be written in any programming language which supports some communication end point, such as API. A Microservice is an application architecture style and the programming language used is just one element of it. Let us revisit Martin Fowler’s definitions from 2014, …a particular way of designing software applications as suites of independently deployable services …developing a single application as a suite of small services, each running in its own process …which may be written in different programming languages and use different data storage technologies. Not…
-
Find some of the benefits of Microsoft Power Platform. Self-Service for Easy Adoption and Use Can be used by most kinds of users (business, executives, developers, BAs) Rapid prototyping (no need to remake) Saving time for development Reducing third party dependency Integration with third parties, especially Microsoft tools such as one drive, excel, teams Device compatibility (work across devices) All Enterprise Business Processes in a Single Platform Compliance, Governance, Scalability, Security, Disaster Recovery No software upgrade, patching headaches Microsoft Advantage Office 365 Integration Enterprise Scale Large set of connectors (data source support) Serverless
-
Simplify cloud-native application development. Focus on your application’s core logic and keep your code simple and portable Dapr is an open source, portable, event-driven runtime that makes it easy for developers to build resilient, microservice, stateless and stateful applications that run on the cloud and edge. Dapr enables developers to focus on writing business logic and not solving distributed system challenges, thereby significantly improving their productivity, and reducing development time. Read more: https://blog.dapr.io/posts/2021/02/17/announcing-dapr-v1.0/ Dapr Home: https://dapr.io/
-
Read here – https://datascience.foundation/datatalk/modern-enterprise-data-management-in-healthcare