Establishing a Project Framework for System Integrations

Introducing an isomorphic orchestrator for JavaScript and TypeScript functions that makes managing complex workflows simple and efficient. Built to work seamlessly in both browser and server environments, this tool allows developers to create custom low-code platforms with ease. Whether you're automating processes or building scalable applications, this project offers a flexible foundation for orchestrating function execution. With support for JSONata for powerful data transformations, it's a great choice for teams looking to streamline their development process. Learn more about how it works and see the possibilities it unlocks.

🔹 Before writing a single line of code… design the path first! As a Solution Architect, especially when working with OutSystems or any low-code platform, success doesn’t start with development — it starts with architecture The diagram below represents a sample Solution Architecture for an OutSystems project, structured into clear layers: 👤 End User Layer: Where users interact with the system — e.g., the Portal and Reports modules. ⚙️ Core Layer: Houses the business logic and core services that connect and manage system operations. 🧱 Foundation Layer: Contains shared components like Email Notifications SMS Notifications and Reporting handlers — the building blocks every feature relies on. 💡 The key idea: Before coding, define how components communicate where business logic lives, and how scalability and maintainability will be ensured. 🎯 The result: A development team that moves fast, with clarity and confidence — and a solution that grows smoothly with your business.

In OutSystems ODC… Scaling beyond prototypes starts with the right architecture choices, not just faster screens. Favor small, composable ODC modules with clear public interfaces — treat each module as a domain boundary so teams can develop and scale independently. Push CPU‑bound or long‑running work out to external services (Azure Functions / .NET APIs) and use asynchronous integrations or queues for heavy processing. Optimize data access: model aggregates to avoid expensive joins, index key attributes, and introduce caching (Redis/CDN) for read‑heavy flows. Instrument and load‑test early; design dev/test/prod environments with realistic capacity and automated deployments so Lifetime reflects your scaling plan. Would love to hear how engineers in the US, UK and other parts of the world are approaching ODC architecture and scaling — open to collaborate remotely. #OutSystems #ODC #LowCode #Architecture #Scalability #RemoteWork

Container Orchestration Kubernetes is an open-source orchestration platform that provides an application programming interface (AP) that enables developers to define container infrastructure in a declarative fashion, that is, infrastructure as code (IaC). Kubernetes Organizations can leverage Kubernetes orchestration and a microservices architecture to publish, maintain, and update containerized cloud native applications rapidly and at scale. Microservices Microservices architecture is a software development technique that uses containers to break large enterprise application code into smaller chunks, called microservices, for programmers to work on. These microservices run on separate containers, and Kubernetes orchestrates these containers to run the entire application code.

🚨 Even the best developers make these mistakes in OutSystems! After reviewing countless projects, I’ve noticed that most issues come down to a few avoidable habits — poor architecture, overcomplicated logic, heavy aggregates, and missing standards. In my latest blog, I break down the 5 most common mistakes developers make in OutSystems — and share how to fix them with practical, real-world tips. 💡 If you’re serious about building scalable, clean, and high-performing apps — this is a must-read. 👉 Read here: https://lnkd.in/dZHUSh3i #OutSystems #LowCode #AppDevelopment #DeveloperTips #TechLeadership #AnkitG #LowCodePlatform

I’m pleased to announce the release of AMate.ArchitectureEnforcer, a NuGet library designed to help the .NET ecosystem enforce architecture rules and maintain clean, consistent codebases. This library provides tools to ensure proper layer separation, dependency management, and architectural compliance, making it easier to maintain high-quality software at scale. The package is now available on NuGet: https://lnkd.in/eE-jJR9M I welcome feedback, suggestions, and contributions from the developer community. Please find the current coverage: https://lnkd.in/erXsHzDh #dotnet #NuGet #Architecture #CleanCode #OpenSource #SoftwareDevelopment

🔄 Why You Should Care About API Versioning APIs evolve — and if you don’t manage those changes properly, things break. That’s why API versioning isn’t optional — it’s essential. ✅ It keeps old clients working while new ones upgrade ✅ It prevents breaking changes in production ✅ It lets teams innovate safely without fear of disruption Think of it like this: Your API is a contract — and versioning keeps that contract valid as your product grows. So the next time you ship a new endpoint or feature… #API #SoftwareEngineering #WebDevelopment #BackendDevelopment #Microservices #APIDesign #Stemup

Hey, its like a year I am into kubernetes and mostly we are doing R&D for infra modernization, and working with k8s with all those kubectl commands, I felt one gap that we cannot get custom resource in a cluster for that we have to first get custom resource defination name then we have to get that custom resource based on that custom resource defination name which is time consuming unless you learn all CRD names. So, As a open source developer I developed a tool which will help us do that, saving us time. The tool name is KGCR (kubectl get customresorce), I have written this tool in go lang as it supports the native kubernetes apis and also made some performance tweaks. GitHub: https://lnkd.in/gk7cYmd4 Installation: curl -fsSL https://lnkd.in/ggtvG-Nr | sudo bash Usage of kgcr: For namespace scoped: kgcr or kgcr -n <namespace> or kgcr —namespace <namespace> For entire cluster: kgcr -A or kgcr —all-namespaces Command in action:

Buildkite now has built-in support for GitHub merge queues: https://lnkd.in/dRa6C7Ri How it helps you: 🔄 Create & cancel builds based on merge_group webhook events from GitHub 👀 Easily identify merge queue builds in the Buildkite UI ⚡ Make your pipelines smarter and faster with merge-queue-aware conditionals and if_changed logic Check out the Changelog for more info, a live demo & links to the docs.

⚙️ Mule Runtime — Few Things We Often Miss After Deployment After working on multiple personal POC Mule projects, I’ve realized that we often focus heavily on flow logic and error handling — but not enough on how our applications actually behave once deployed on Mule Runtime Engine. The runtime is where everything really happens — message processing, memory management, and threading — yet most performance issues I’ve seen originate after deployment, not during development. Here are a few things I’ve noticed over time 🔹 CloudHub – Great for quick deployments, scaling, and monitoring, but it hides too much at times. We can’t deep dive into JVM or system-level tuning. Also, scaling looks easy — but every extra worker increases cost quickly if not sized properly. 🔹 On-Prem Runtime – Gives complete control and flexibility, but with that comes the need for proper configuration. I’ve seen teams miss small things like heap tuning, idle connection timeouts, or log rotation — and these become silent performance killers later. Regardless of the environment, doing basic runtime health checks (heap usage, thread counts, connection pools, and log patterns) before production saves a lot of time and stability issues later. Small configurations — but they decide how stable your integration actually runs under real workloads. 💬 Curious how you manage runtime checks in your Mule setup? Let’s see how different teams handle it.