PureSoftware

𝗗𝗮𝘆 𝟬𝟰 𝗼𝗳 𝗺𝘆 𝗠𝗟𝗢𝗽𝘀 𝗷𝗼𝘂𝗿𝗻𝗲𝘆 𝗶𝘀 𝗹𝗶𝘃𝗲 🚀 Training a Machine Learning model is only half the job. The real value starts when the model can serve predictions reliably to applications and users. In this blog, I: • Exposed a trained ML model through a Flask API • Performed inference using HTTP requests • Containerised the application using Docker • Explained the difference between ML Engineers & MLOps Engineers One thing I’m realising while learning MLOps is how important deployment and production workflows are compared to just training models locally. If you're from a DevOps or Cloud background and trying to understand MLOps practically, this blog might help connect the dots. Blog link in comments 👇 Join the Discord community to learn together and grow together: https://lnkd.in/gvHDDdDY GitHub repository for all mlops-labs: https://lnkd.in/gpQnnZWr Happy Learning Aman Pathak #DevOps #MLOps #AI #Cloud #Learning

𝐃𝐚𝐲 𝟎𝟑 𝐨𝐟 𝐦𝐲 𝐌𝐋𝐎𝐩𝐬 𝐣𝐨𝐮𝐫𝐧𝐞𝐲 𝐢𝐬 𝐥𝐢𝐯𝐞 🚀 This time, I moved from theory into actual implementation. In this blog, I: • Trained a Machine Learning model using Python • Generated model artifacts & metrics • Performed inference using trained models • Automated the workflow using GitHub Actions One thing I’m realising while learning MLOps is that MLOps engineers are not expected to become hardcore Data Scientists. But we DO need to understand how ML workflows behave so we can automate, deploy, monitor, and scale them properly. If you're from a DevOps or Cloud background and trying to understand MLOps practically, this blog might help. Blog link in comments 👇 Join the Discord community to learn together and grow together: https://lnkd.in/gvHDDdDY GitHub repository for all mlops-labs: https://lnkd.in/gpQnnZWr Happy Learning Aman Pathak #DevOps #MLOps #AI #Cloud #Learning

1. Kubernetes FinOps means optimizing Kubernetes infrastructure for both performance and cost efficiency. 2. The main goal is to identify wasted CPU, memory, storage, and idle nodes in the cluster. 3. kubectl top nodes helps check node CPU and memory utilization to detect underused servers. 4. kubectl top pods -A shows which pods consume the most resources across namespaces. 5. Comparing requested resources vs actual usage reveals overprovisioned workloads and cost waste. 6. Pod density measures how efficiently workloads are packed onto nodes to reduce infrastructure cost. 7. Karpenter automatically provisions and removes nodes based on workload demand and optimization logic. 8. Spot instances reduce cloud costs significantly, but require smart handling for reliability and scaling. 9. Tools like Prometheus Prometheus, Grafana Labs Grafana, and Kubecost Kubecost provide metrics, dashboards, and cost visibility. 10. The FinOps mindset shifts from “Is the application running?” to “Is the application running efficiently, reliably, and economically?” #Kubernetes #FinOps #Karpenter #AWS #EKS #CloudComputing #CloudArchitecture #PlatformEngineering #DevOps #CloudOptimization #Kubecost #Prometheus #Grafana #Autoscaling #SpotInstances #CloudFinOps #Containers #KubernetesFinOps #CloudNative #Observability

🚀 Mastering Observables & RxJS Basics in Angular Understanding Observables is one of the most important steps in becoming a strong Angular developer. They power asynchronous and reactive programming, making applications more scalable, maintainable, and efficient. Here are some key takeaways 👇 ✅ Observables handle multiple values over time ✅ Perfect for HTTP calls, events, forms, and real-time data ✅ RxJS operators like map, filter, switchMap, and debounceTime simplify data transformation ✅ Better error handling and request cancellation ✅ Helps build reactive and high-performance Angular applications 💡 Common real-world use cases in Angular: • API requests with HttpClient • Reactive Forms (valueChanges) • Route params and user interactions • State and side-effect management The more you practice RxJS, the more confident you become in handling complex async workflows in Angular. #Angular #RxJS #Observables #WebDevelopment #FrontendDevelopment #TypeScript #ReactiveProgramming #SoftwareDevelopment

Hi Folks We are hiring for Full Stack Engineer !!!! Please find the JD below and apply ASAP. Immediate joiners preferred. Location- Pune Job Duties and Responsibilities: We are looking for a self-starter to join our Core Engineering team. You will work in a fast-paced environment where you will get an opportunity to build and contribute to the full lifecycle development and maintenance of the oncology abstraction platform at HM. With the Core Engineering team, you will get an opportunity to: ✅ Contribute to the vision and design of our internal data platform, implementing solutions across the front-end, back-end, and data layers. Take ownership in the ever-growing platform architecture. ✅ Translate complex business requirements into high-performance software designs and implementations. ✅ Partner with cross-functional stakeholders including Product managers, Architects, Backend engineers, Frontend engineers, and end users to deliver engineering solutions. ✅ Write efficient, maintainable, and robust code while participating in thorough code reviews to ensure the highest quality engineering practices. Basic Requirements: ✅ A minimum of a BS degree in computer science, software engineering, or related technical field ✅ Around 6 years of work experience in building scalable and robust full stack solutions ✅ Proven experience contributing to complex projects independently. ✅ Experience communicating and working with distributed teams Experience working with modern Single Page Application (SPA) frameworks like Angular or React ✅ 5+ years experience across the full stack, including front-end development, building APIs, and ETL processes ✅ Proven ability to design and manage message queuing and streaming systems such as Amazon SQS or Google PubSub ✅ SQL coding and query optimization experience ✅ 5+ years of experience with data modeling techniques for structured datasets ✅ Experience with functional programming (e.g. Scala, Elixir) ✅ Experience with relational databases - Postgres, MySQL, etc. ✅ Demonstrate analytical thinking with strong problem solving skills ✅ Staying on top of emerging technologies and willingness to learn Bonus Experience (optional) 💠 Experience with Agile environment 💠 Experience operating in a CI/CD environment 💠 Passion towards healthcare and improving patient outcomes Healthcare experience #Fullstack #Softwareengineers #Fullstackdevelopers #Frontend #Backend #ITJobs #Softwaredevelopers #Softwareengineers #engineers #Pune

As AI adoption accelerates across financial services, UK regulators are reinforcing a principles-based, outcomes-focused approach. Rather than introducing new AI-specific rules, bodies like the FCA are relying on existing frameworks, placing accountability on firms to manage risk, governance, and customer outcomes. But 2026 signals a shift: 🔹 Greater scrutiny through initiatives like the "Mills Review" 🔹 Increased focus on critical third parties and AI reliance 🔹 A continued balancing act between innovation, competitiveness, and risk The message is clear: AI is now a core strategic priority, and firms must demonstrate robust governance, transparency, and control. At McGregor Boyall , we're seeing this drive increased demand across risk, compliance, and technology talent. Read the article here: https://lnkd.in/e7fR7jqH #ArtificialIntelligence #FinancialServices #Regulation #RiskManagement #Compliance #FinTech #Leadership

Proud to have contributed as Test Lead for this release. Excited to see Hyper Frames Poseidon™ now live across the Games Global network. A great example of layered mechanics, progression-driven gameplay, and an evolving player experience coming together seamlessly. Kudos to the entire team involved in bringing this to life. #iGaming #CasinoGames #GameTesting #QualityAssurance #GamingIndustry #SlotGames #GameRelease #QA #GameDevelopment