Mukund Gandlur’s Post

Our co-founder Mukund Gandlur's journey in creating Toystack - a Neo-Cloud platform simplifying cloud for everyone. Toystack isn't just Mukund's brainchild - it's the solution he wished he had throughout his career. Read about the challenges, insights, and 'aha' moments that led to our creation!

🚀 **Unleashing Microservice Deployment in Azure Kubernetes Service (AKS)!** 🌥️ In the dynamic world of cloud computing, microservices architecture stands out for its agility and scalability. Deploying microservices on Azure Kubernetes Service (AKS) brings a host of benefits. 🔹 **What are Microservices?** Microservices architecture breaks down applications into small, manageable services, each performing a specific function. This enables: 1. **Independent Development and Deployment**: Teams can work on different services simultaneously. 2. **Scalability**: Scale individual services based on demand. 3. **Resilience**: Failure in one service doesn’t impact the whole application. 🔹 **Why Use AKS?** Azure Kubernetes Service (AKS) simplifies the deployment, management, and operations of Kubernetes: 1. **Managed Kubernetes**: Azure handles the heavy lifting, so you can focus on development. 2. **Seamless Integration**: Connect with other Azure services like Azure DevOps, Azure Monitor, and more. 3. **Security and Compliance**: Built-in security features and compliance certifications. 🔹 **Benefits:** - **Scalability**: Automatically scale services to meet demand. - **Flexibility**: Deploy updates without downtime. - **Cost Efficiency**: Optimize resource usage and reduce costs. 🔹 **Real-World Impact:** Organizations of all sizes leverage microservices in AKS to accelerate innovation, improve reliability, and reduce time-to-market. Whether you’re running a startup or an enterprise, AKS provides the robust infrastructure needed to thrive. 👨💻 **Final Thoughts:** Microservices in AKS empower teams to deliver better software faster. With Azure’s comprehensive ecosystem, you get the tools to build, deploy, and manage microservices effectively. #Azure #Kubernetes #Microservices #CloudComputing #AKS #DevOps #Scalability #CloudSecurity --- Feel free to tweak and personalize this post to better reflect your voice and experiences!

Why 90% of Deployments Are Done with VMs and Serverless Instead of Kubernetes—and How We Can Change That Kubernetes gets a lot of buzz these days, and don’t get me wrong—I love the technology!,I have dedicated a good chunk of my professional career to it. But the reality is that 90% of deployments are still done with VMs and serverless. Even here at K8Studio, we face a big dilemma: should we go with serverless for our microservices or set up an EKS cluster? Here’s why serverless often wins out: 1️⃣ Simplicity VMs are straightforward to set up and maintain, and serverless takes simplicity to a new level by eliminating infrastructure management. Deploying a RESTful API with AWS Lambda and providing access through API Gateway is incredibly simple, especially for JavaScript developers using a serverless framework. Add in integrations with AWS services like Cognito, SQS, and SES, and it’s hard to beat. 2️⃣ Cost Efficiency Serverless scales automatically on a pay-as-you-go model. Many of our applications at K8Studio run on AWS Lambda, and when configured properly, the cost is surprisingly low. On the other hand, maintaining a Kubernetes cluster, like EKS, can be prohibitively expensive for smaller applications or teams. 3️⃣ Lower Complexity Getting a Kubernetes cluster up and running requires configuring load balancers, ingress, services, deployments, and storage. This often means involving DevOps expertise, which isn’t viable for many development teams. In contrast, serverless and VMs simplify this process significantly. 4️⃣ Rapid Development Cycles With serverless, teams can focus on building applications rather than managing infrastructure. For Kubernetes to compete in this space, we need simplified workflows and automated deployment solutions. So, How Can We Change This? For Kubernetes to reach wider adoption, we need solutions that reduce costs, simplify setups, and make it as accessible as serverless. At K8Studio, we’re working on exactly that by offering tools that automate scaling, simplify setup, and reduce management costs, making Kubernetes more feasible for everyday deployments. Playing devil’s advocate here because I actually think Kubernetes has massive potential! But I’d love to hear your thoughts—where do you stand on this? #cloudcomputing #devops #kubernetes #serverless #cloud #technology #K8Studio

Thank You to the Stack Overflow Community for Ranking Docker the Most Used, Desired, and Admired Developer Tool 🔥Hot off the press! Docker has just released the results of their recent Stack Overflow survey, and the insights are a goldmine for anyone in the IT, DevOps, and cloud computing space. The survey reveals that Docker is now the #1 most wanted platform, #2 most loved platform, and #3 most widely used platform among developers. This is a testament to Docker's robust capabilities in simplifying DevOps workflows and accelerating cloud-native application development. The survey also highlights the growing trend of microservices architecture, with Docker playing a pivotal role in enabling developers to build, share, and run applications securely and efficiently. But here's the kicker - despite Docker's popularity, the survey shows that there's still a significant knowledge gap among developers. This presents a massive opportunity for IT professionals to upskill and position themselves at the forefront of this rapidly evolving field. What are your thoughts on these findings? How are you leveraging Docker in your DevOps and cloud computing strategies? Let's ignite a discussion and share our insights to drive the future of our industry. Check out the full survey results here: https://lnkd.in/ehHRJbzB #Docker #DevOps #CloudComputing #IT #Microservices #StackOverflowSurvey https://lnkd.in/ehHRJbzB

CI/CD is always evolving - that's a given. Knowing that your builds are still going to behave the same? That's a completely different challenge altogether. Learn how you can monitor your CI/CD optimizations, migrations, and evolutions with Datadog Software Delivery in our latest post!

🚀 Mastering Kubernetes: Orchestrate Your Containerized Applications Like a Pro! 🚀 Kubernetes has revolutionized the way we deploy, manage, and scale applications in the cloud. 🌐 Whether you're just getting started or looking to deepen your expertise, understanding Kubernetes is crucial for modern DevOps and cloud-native environments. 🔍 What is Kubernetes? Kubernetes is an open-source platform designed to automate deploying, scaling, and managing containerized applications. It provides a robust framework for container orchestration, making it easier to manage complex applications in production. 💡 Why Kubernetes? Scalability: Automatically scale applications up or down based on demand. High Availability: Ensure your applications are always available with built-in failover and load balancing. Portability: Seamlessly move applications across different environments (on-premises, cloud, hybrid). Declarative Configuration: Define your application’s desired state using YAML or JSON files, and Kubernetes takes care of the rest. 🔧 Key Components: Pods: The smallest deployable units that run containers. Deployments: Manage the deployment and scaling of pods. Services: Expose your applications to network traffic. ConfigMaps and Secrets: Manage configuration and sensitive data. 🌟 Getting Started: Install Kubernetes: Use Minikube or a cloud provider's managed Kubernetes service. Deploy Your First Application: Try deploying a simple web app to see Kubernetes in action. Explore Kubernetes Tools: Familiarize yourself with kubectl, Helm, and Kubernetes Dashboard. 💬 Join the Conversation: Share your experiences with Kubernetes and how it has transformed your DevOps practices. What challenges have you faced? What best practices have you discovered? Let's connect and discuss! #Kubernetes #DevOps #CloudComputing #ContainerOrchestration #TechInnovation #CloudNative #K8s #Containers

🚀 Exciting Tech Update! 🚀 Just dove into the world of Azure Container Registry (ACR) and it's a game-changer! 🌐💻 Azure Container Registry is a cloud-based repository that lets you store and manage Docker container images. 🐳📦 Whether you're a developer, an IT pro, or anyone working with containers, ACR simplifies the process of storing, managing, and deploying containerized applications. Pushing images to ACR is a breeze! 👉🖱️ After building your Docker image, use the 'docker push' command to send it straight to your ACR. The seamless integration with Azure DevOps pipelines makes this process even smoother, ensuring your CI/CD pipelines are supercharged! ⚙️🔄 Running containers from ACR is where the magic happens! 🎩✨ Pulling images from ACR to your Azure Kubernetes Service (AKS) or any other container orchestration platform is just a 'docker pull' away. This ensures your applications are scalable and run flawlessly in the cloud. ☁️💪 What I love about ACR is its scalability, security, and seamless integration with other Azure services. 🔒🚀 It's the fuel your containerized applications need to soar to new heights! Embrace the container revolution with Azure Container Registry and witness the transformation of your development and deployment processes. 💻🌐🚀 #Azure #ContainerRegistry #DevOps #CloudComputing #TechInnovation #Docker #LinkedInTechUpdate 🚀🌐

𝐇𝐨𝐰 𝐭𝐨 𝐃𝐞𝐩𝐥𝐨𝐲 𝐘𝐨𝐮𝐫 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐨𝐧 𝐚 𝐌𝐮𝐥𝐭𝐢-𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 In today's dynamic cloud landscape, flexibility and redundancy are key. That's why I'm excited to share how Microsoft team has leveraged the Serverless Framework to achieve multicloud magic and enhance our dataflow. 𝐃𝐚𝐭𝐚𝐟𝐥𝐨𝐰: User’s app can seamlessly connect from any source to our gateway app, which distributes requests equally between Azure and AWS clouds. This dual-cloud architecture ensures robustness and availability. Plus, all responses are routed through the API Manager gateway, guaranteeing a smooth user experience. 𝐓𝐡𝐞 𝐒𝐞𝐫𝐯𝐞𝐫𝐥𝐞𝐬𝐬 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤: The heart of our multi cloud solution! It simplifies infrastructure concerns, automating deployments to support GitOps. With a manifest-based approach, this approach driving serverless solutions across multiple clouds with ease. 𝐀𝐳𝐮𝐫𝐞 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: To make Azure a part of our multicloud strategy, this approach equipped with Node.js, Azure Functions, and the Serverless Multicloud Library. The Azure Functions Serverless Plugin extends the Serverless Framework's capabilities for Azure, ensuring parity with AWS Lambda. 𝐂𝐈/𝐂𝐃 𝐰𝐢𝐭𝐡 𝐆𝐢𝐭𝐎𝐩𝐬: This Architecture implementing GitOps-driven serverless builds, tests, and deployments, streamlining our development workflow. Building from Git, quality gates for tests, and seamless deployment across cloud providers make us more agile and efficient. 𝐏𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐔𝐬𝐞 𝐂𝐚𝐬𝐞𝐬: Imagine writing client-side applications for multiple platforms using a cloud-agnostic API from the Serverless Multicloud Library. Deploy functional microservices across multiple cloud platforms, or use a cloud-agnostic app without worrying about the underlying infrastructure. 𝐁𝐥𝐮𝐞-𝐆𝐫𝐞𝐞𝐧 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: This Architecture has the best of Blue-Green Deployment into the multicloud realm. Each cloud platform hosts two duplicate sets of microservices, creating active-passive environments for increased availability. The multicloud setup ensures high availability and minimizes risks, all thanks to the power of Serverless. In a world where multicloud is the future, this architecture pioneering with Serverless Framework and embracing multicloud excellence. #devops #aws #azure Credits: Chandresh Desai, Cloudairy