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Seven Models of Cloud Native Applications
Introduction In todayâs cloud-driven landscape, organizations are transitioning from legacy monolithic systems to agile, scalable, and secure cloud-native solutions. Some are even forging new cloud-native applications. However, the concept of cloud-native design remains subjective, lacking a universal blueprint. This blog aims to provide clarity and guidance for designing precise cloud-nativeâŠ
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Demystified Service Mesh Capabilities for Developers
Service Meshes have been gaining a lot of popularity lately, more so amongst Spring and Java developers who wish to address cross-cutting concerns. But, are you wondering what exactly are Service Meshes? What are some of the popular types out there? And most importantly, what kind of problems do they actually solve? Well, look no further! This blog is here to provide you with the answers youâŠ
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Introduction to Automation Testing Strategies For Microservices
Early end-to-end (E2E) testing of microservices helps you identify bugs early in your software development process. Exploring the testing triangle, challenges, and solutions for microservices testing. Microservices are distributed applications deployed in different environments and could be developed in different programming languages having different databases with too many internal andâŠ
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Kubernetes alternatives to Spring Java framework
Spring Cloud and Kubernetes both complement each other to build a cloud-native platform and run microservices on the Kubernetes containers. Kubernetes provides many features which are similar to Spring Cloud and Spring Config Server features. Spring framework has been around for many years. Even today, many organizations prefer to go with Spring because it provides many advanced features withâŠ
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Cloud Distributed Caching for Microservices
Cloud Distributed Caching for Microservices
Distributed caching is a very important aspect of cloud-based applications, be it for on-prem, public, or hybrid cloud environments. It facilitates incremental scaling allowing the cache to grow and incorporate the data growth. In this blog we will explore distributed caching on the cloud and why it is useful for environments with high data volume and load. This blog will cover, Challenges withâŠ
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Understanding Technical Debt for Software Teams
Understanding Technical Debt for Software Teams
Overview of Technical Debt âTechnical debt is a metaphor commonly used by software professionals in reference to short-term compromises made during the design, development, testing and deployment processesâ. In order to stay competitive, many organizations opt for software development methodologies like Agile, to accelerate the overall development processes. Cramped up release schedules oftenâŠ
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Spring API Gateway Implementation with sample apps
Spring API Gateway Implementation with sample apps
In this section, we will implement the Spring Cloud Gateway routing features. In this coding exercise, we will cover major API gateway features route traffic, filters, and predicates. We will use the dynamic routing configuration by making changes in application properties files. It will make changes applied dynamically without restarting microservices web apps. It will be deployed as a separateâŠ
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Distributed Caching with Redis
Distributed Caching with Redis
When there is a need to improve the performance of web applications/microservices every millisecond counts. API gateway provides a powerful feature of distributed caching where API responses can be cached and be available for all distributed microservices. It may span multiple servers on separate Kubernetes containers. In caching, objects/data are stored in high-speed static RAM memory forâŠ
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Notification System Design
Objective: Design enterprise level system architecture to support email, SMS, Chat and other public social app integrations using API: EmailSMS/OTPPush notifications (Mobile and Web browser)Chat â Whatsapp/Telegram Itâs a generic feature of all kind of web and mobile applications, which is required for all modern distributed applications regardless of using any programming languages andâŠ
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API Introduction and Best practices!
API Introduction and Best practices!
Disclaimer: It has been taken from my book â âCloud Native Microservices using Spring and Kubernetesâ. Application Programming Interface (API) allows two apps/resources to talk to each other and is mostly referred for Service Oriented Architecture (SOA) API is gaining more popularity when microservices development is booming for modern cloud-native applications or app modernization. We canâtâŠ
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Docker OCI Image, Docker Engine, Container fundamentals
Docker OCI Image, Docker Engine, Container fundamentals
Disclaimer: This blog content has been taken from my latest book: âCloud Native Microservices with Spring and Kubernetesâ Why Docker? Docker is a runtime container image which contains source code + dependent libraries + OS base layer configuration. It provides portable container which can be deployed and run on any platform. Docker is a first citizen for the Kubernetes containers. Itâs aâŠ
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Play with docker image and store on Harbor and Docker-Hub
Play with docker image and store on Harbor and Docker-Hub
Disclaimer: This blog content has been taken from my latest book: âCloud Native Microservices with Spring and Kubernetesâ In this blog, I will cover how to create a simple docker image using a SpringBoot Java application, store and pull docker images using Docker-Hun and Harbor image repositories and finally how to run this app on local Docker desktop client. Docker image registry is aâŠ
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Setup K8s Admin Dashboard UI - Octant and Proxy
Setup K8s Admin Dashboard UI â Octant and Proxy
Disclaimer: This blog content has been taken from my latest book: âCloud Native Microservices with Spring and Kubernetesâ A. Setup Octant K8s Dashboard UI To visualize, monitor and inspect TKG Kubernetes clusters. Install Octant UI dashboard. Octant should immediately launch your default web browser on http://127.0.0.1:7777/#/cluster-overview $ octant Note: Or to run it on a specific hostâŠ
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Create a Microservice using SpringBoot, dockerize and run on Docker
Create a Microservice using SpringBoot, dockerize and run on Docker
Disclaimer: This blog content has been taken from my latest book: âCloud Native Microservices with Spring and Kubernetesâ In this blog, we will create a simple Microservice using SpringBoot and Java. We will create docker file of this microservice using Maven, deploy and run on Docker using Docker Desktop on local machine. Note: This POC has been done on Mac machine.You can also try on WindowsâŠ
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Microservice deployment on Kubernetes container with NGINX Ingress controller, Docker Hub and Helm package deployer
Microservice deployment on Kubernetes container with NGINX Ingress controller, Docker Hub and Helm package deployer
Disclaimer: This blog content has been taken from my latest book: âCloud Native Microservices with Spring and Kubernetesâ This blog will cover these topics: Deployment of SpringBoot (Java) application on container using Kubernetes TKGI clusterRun Docker Hub image on VMware TKGI clusterInstall and configure Helm Kubernetes package InstallerInstall and configure NGINX Ingress controllerExposeâŠ
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12- Factor apps/15- Factor Apps of Modern Cloud Native application
12- Factor apps/15- Factor Apps of Modern Cloud Native application
Disclaimer: This blog content has been taken from my latest book: âCloud Native Microservices with Spring and Kubernetesâ A quick overview of 12 Factor Apps and newly added 3 factors for standard of cloud Native Application I. Codebase One codebase tracked in revision control, many deploys II. Dependencies Explicitly declare and isolate dependencies III. Config Store config in theâŠ
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App Modernization, Cloud Native, Microservices - Overview, Strategy and Techniques
App Modernization, Cloud Native, Microservices â Overview, Strategy and Techniques
Disclaimer: This blog content has been taken from my latest book: âCloud Native Microservices with Spring and Kubernetesâ These are important objectives for app modernization, cloud migration or containerization and building new applications from the scratch! These are essential steps to start thinking about modernization (Cloudification). I will cover 101 high-level view of modernizationâŠ
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