#Microservices
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so it turns out they weren't kidding when they said breaking a monolith into microservices is hard.
#programming#enterprise software#enterprise application development#microservices#it also doesn't help that some folks need to BANNED from writing SQL queries
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microservice architecture is just one giant Rube Goldberg machine throwing JSON at each other
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Development Architectures: Monolith vs. Microservice
Unveiling the two titans of development architecture: the monolithic giant and the microservices army. Discover their strengths, weaknesses, and which reigns supreme for your next project. In this episode of Development Architectures: Monolith vs. Microservice.
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YABI Yet another ByteByteGo Infographic: This one shows the difference between a traditioanl CRUD (create, read, update and delete) system and a more contemporary event sourcing system. Both achieve the same end result but the event sourcing model is more resilient to failure and data corruption. It also scales well in a microservices environment.
Although the diagram does not mention it, the two systems can be used in a complimentary fashion. The CRUD system can be exposed as a typical REST API which is very well understood by developers and quite easy to develop to. Meanwhile, within the organisation the CRUD methods can easily proxy to events. The net result is a modern event sourcing system internally with a low friction REST API for integration.
(via https://substack-post-media.s3.amazonaws.com/public/images/0a124ddf-8104-48fc-8f61-e190a73579e9_1529x1536.jpeg (1529×1536))
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(via Spring Boot Microservices + MongoDB in Docker Containers | Step by step tutorial for Beginners)
Full Video Link: https://youtu.be/qWzBUwKiCpM
Hi, a new #video on step by step #tutorial for #springboot #microservices running in #docker #container with #mongodb also running in #docker #container is published on #codeonedigest #youtube channel. Easy guide for spring boot microservices project with mongodb in container.
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When to chose Microservice architecture
A microservices architecture is chosen because there is a strong need for short lead time, rapid and independent deployments of components and if you have the organizational structure to back it up – small, empowered independent teams with end-to-end responsibility. Hence, they are often powered by a fully automated CI/CD pipeline. The drawback is that you end up with a high demand for communication and a complex socio-technical system.
~ Lukas Pradel in this infoQ article
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Monolithic v/s Microservices architecture has become a hot topic for debate, especially after Netflix became the first-ever company to migrate from a monolithic to a cloud-based microservice architecture. To be specific, this topic came into the limelight after Netflix won the JAX Special Jury Award in 2015.
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Why are single page applications in demand?
If an e-commerce site is making $100,000 per day, a 1 second page delay could potentially cost them $2.5 million in lost sales every year. – A survey by Akamai and Gomez dot com
Single Page Application delivers dynamic updates and decreases server load significantly. Also, now more and more applications are being built on microservices architecture.
Get insights on benefits of SPA
If you are in a dilemma about building SPAs and MPAs, contact our experts to get a better understanding.
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How Microservices Improve Scalability in Software Architecture
Microservices are transforming the way we build scalable software solutions. By breaking down complex applications into smaller, independent services, microservices make it easier to scale individual components without affecting the entire system. This modular approach ensures that each service can be developed, deployed, and scaled independently, enabling faster innovation and flexibility. Whether you're managing increasing user demand or launching new features, microservices provide the agility needed for growth.
#Microservices#Scalability#SoftwareArchitecture#TechInnovation#CloudComputing#AgileDevelopment#SoftwareDevelopment#ModularDesign#TechTrends#SoftwareEngineering
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Etsy’s Service Platform On Cloud Run Use An Hour Not A Days
Deployment times for Etsy’s Service Platform on Cloud Run are reduced from days to less than an hour.
Overview
Popular online business Etsy sells vintage, handcrafted, and unusual items and attempts to give excellent service. Etsy needs more people, technology, and resources like many fast-growing organizations. Over 1400% of its gross product sales climbed to $13.5 billion between 2012 and 2021.
Etsy moved all of its infrastructure from conventional data centers to Google Cloud in an attempt to keep up with this development. In addition to being a major technology advancement, this change forced Etsy to reconsider how it approaches service development. The process resulted in the establishment of “ESP” (Etsy’s Service Platform), a Google Cloud Run-based service platform specifically designed for Etsy that simplifies microservices development, deployment, and administration.
The need for change and architectural vision
The need for technical team to handle more sophisticated features and more traffic in Google cloud marketplace increased along with Etsy’s growth. Etsy developers were able to investigate and use Google Cloud-based service platforms with 2018 transfer to GCP. However, this surge of technological innovation also brought out some new difficulties, such as redundant code and scaffolding and unsupported infrastructure with unclear ownership.
In order to overcome these obstacles, Etsy brought together a group of architects to create a blueprint outlining the direction of the company’s future service growth. The objective was unambiguous: establish a platform that frees developers from the burden of backend complexity and enables them to swiftly and securely launch new services by separating service development from infrastructure.
Transforming vision into reality
The resultant architectural concept served as the foundation for Etsy’s Service Platform, or ESP, and a newly assembled team was tasked with the thrilling task of making the vision a reality. Putting together a dynamic team that could bridge the gap between application development and infrastructure was the first step. The team, which was made up of seasoned engineers with a variety of specialties, contributed a wide range of abilities.
Understanding how critical it was to connect with future platform users, the team worked closely with Etsy’s engineering and architecture. By consenting to embed one of their senior engineers in the service platform team, the Ads Platform Team, which was previously involved in service development, played a crucial role. As part of the Etsy’s Service Platform experiment, they jointly produced a Minimum Viable Platform (MVP) to facilitate the rollout of a new Ads Platform service.
Choosing Cloud Run for accelerated development
By separating infrastructure and automating its provisioning, architectural vision for a successful service platform would simplify the developer experience. The team realized that the bigger engineering organization’s prospective clients also need a platform that could seamlessly integrate into their workflow. The service platform team decided to concentrate on Etsy-specific elements in order to do this, including observability, service catalog, security, compliance, CI/CD, connection with current services, developer experience and language support, and more.
It was a calculated move to use Google Cloud services, particularly Cloud Run. The team intended to provide value as soon as possible, even if options like GKE were alluring. The team was able to concentrate on core platform functionality because to Cloud Run’s strong and user-friendly architecture, which helped Cloud Run manage the more difficult and time-consuming parts of executing containerized services.
The Toolbox: A Closer Look
Etsy’s Service Platform uses a well chosen toolkit to provide a reliable and effective development and operational experience:
Developer Interface: A specially designed CLI tool to make developer interactions more efficient.
Protocols for standardized communication include protobuf and gRPC.
Supported languages include Go, Python, Node.js, PHP, Java, and Scala.
CI/CD: Use GitHub Actions to provide a seamless pipeline for integration and deployment.
Observability: Using Prometheus, AlertManager, Google Monitoring and Logging, and OTEL on Google Cloud services
Client Library: Artifactory has Etsy’s Service Platform-generated clients registered.
Service Catalog: Centralized service visibility via Backstage.
Cloud Run was selected as the runtime due to its compatibility and ease of use.
Navigating Challenges
There were challenges along the way to developing the service platform. Overloading occurred on the VPC connection, and in order to maximize resource allocation, some services needed to be adjusted. Future adopters will benefit from platform-level enhancements brought forth by these difficulties.
Flexibility was given top priority in Etsy’s Service Platform design to account for varied technological environment. Despite the team’s multi-technological experience, it was difficult to develop a platform that could accommodate a wide range of service and client languages and use cases. Based on customer input, Google cloud made the decision to first concentrate on a core feature set and then add incremental capabilities and workarounds.
Important lessons learned throughout ESP’s development influenced both its ongoing operations and its future direction.
Sandbox Feature: Developers were able to deploy development versions of new services on Cloud Run in less than five minutes, replete with CI/CD and observability, with a rapid iteration process provided by a “sandbox” environment.
Known Observability Tools: ESP simplified engineer processes by integrating with current tools, such as promQL and Grafana.
Security Considerations: Working with the Google Serverless Networking team guaranteed safe connection with the old apps, even though ESP preferred TLS and layer 7 authentication via Google IAM.
Encouraging AI/ML Innovation: ESP’s flexibility was shown at a company-wide hackathon when a service that interfaced with Google’s Vertex AI was quickly put into use.
Real-World Success: As client support in new languages became available, the Ads Platform service grew to three more systems. The increasing load was effortlessly managed by Cloud Run’s auto-scaling.
Conclusion and Future Outlook
Etsy’s Service Platform is being steadily and continuously adopted across the company, allowing engineers to be bold, quick, and safe. Collaboration between Google cloud internal GKE team and Google has been sparked by customer needs for workloads beyond the serverless approach. Extending ESP’s tools to accommodate a growing range of services while preserving a consistently high standard of developer and operational experience is the aim.
Read more on Govindhtech.com
#Etsy#EtsyService#CloudRun#microservices#GKE#CI/CD#VertexAI#AI#ESP#News#Technews#Technology#Technologynews#Technologytrends#govindhtech
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🚀 Simplify Your Java Development with Spring Boot! 🌱 Spring Boot is transforming Java applications by streamlining development, boosting productivity, and supporting microservices. Dive into the core features that make it a go-to framework for developers worldwide! 🌐💼
✨ Key Features of Spring Boot:
Auto-Configuration – Let Spring handle the configurations! 🛠️
Embedded Server Support – No need for external servers. Run apps directly! 🌐
Production-Ready Monitoring – Keep track of performance with built-in tools 📊
Microservices Architecture – Scale effortlessly and develop microservices with ease 🔗
Spring Initializr – Quick project setup to get coding in minutes 🚀
Health Checks and Metrics – Stay ahead with built-in health monitoring 📉
Master these features and power up your development process! 🌟
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Python API Development: Best Practices to Follow in 2025
Discover the essential best practices for Python API development in 2025. Learn how to enhance performance, security, and scalability for your applications.
#PythonAPI#APIDevelopment#PythonBestPractices#WebAPIs#SoftwareDevelopment#TechTrends2025#ProgrammingTips#Microservices#BackendDevelopment#APIManagement
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Contract Testing: An Essential Guide
Learn the essentials of contract testing and ensure seamless communication between microservices in your system.
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AWS EC2 VM Setup | Run Springboot Microservice and Postgres DB in EC2 Se...
Hello friends, a new #video on #aws #cloud #ec2 #server setup #springboot #microservice setup in #ec2server #postgres setup in #ec2instance is published on #codeonedigest #youtube channel. Learn #awsec2 #postgressetup #java #programming #coding with codeonedigest.
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