Slides from my presentation at Software Architects Bangalore meetup help on October 12, 2019. Covers externalised configuration, runtime reconfiguration, fault tolerance, and API versioning.
OpenNebula Conf 2014 | Puppet and OpenNebula - David LutterkortNETWAYS
Many facets of using an IaaS cloud like OpenNebula can be greatly
simplified by using a configuration management tool such as Puppet. This
includes the management of hosts as well as the management of cloud
resources such as virtual machines and networks. Of course, Puppet can also
play an important role in the management of the actual workload of virtual
machine instances. Besides using it in the traditional, purely agent-based
way, it is also possible to use Puppet during the building of machine
images. This serves two purposes: firstly, it speeds up the initial Puppet
run when an instance is launched off that image, sometimes quite
dramatically. Secondly, it supports operating immutable infrastructure
without losing Puppet’s benefits to organize and simplify the description
of the entire infrastructure.
This talk will show how Puppet can be used by adminsitrators to manage
OpenNebula hosts, and by users to manage their infrastructure as well as
how to use Puppet during image builds.
Celery is a distributed task queue that allows long-running processes to be executed asynchronously outside of the main request-response cycle. It uses message brokers like RabbitMQ to distribute jobs to worker nodes for processing. This improves request performance and allows tasks to be distributed across multiple machines. Common use cases include asynchronous tasks like email sending, long database operations, image/video processing, and external API calls.
This document provides an overview of the Guice and Gin dependency injection frameworks. It discusses key features of Guice like annotation-based configuration, scopes, and type-safe injection. It compares Guice to Spring, noting Guice's simpler configuration. It also covers using Guice and Gin in web applications and GWT clients. Additional topics include the Warp utilities, configuration options like @Named, and limitations of Gin for GWT apps.
This document provides an overview of the Guice and Gin dependency injection frameworks. It discusses key features and differences between the two, including how Guice supports both server-side and client-side Java applications while Gin is tailored specifically for GWT client-side apps. Examples are given of basic usage and configuration for common tasks like singleton scopes and dependency injection.
"Full Stack frameworks or a story about how to reconcile Front (good) and Bac...Fwdays
Probably every backend developer had to face the frontend. I am sure that this interaction did not always end without mental trauma. However, today, thanks to Full Stack frameworks, we can forget about this headache, because we have the opportunity to describe and generate a frontend on the PHP side.
using Queue Server for batch processingChing Yi Chan
This document discusses using queue services for batch processing. It involves converting data into jobs that are sent to a job queue. Workers then pull jobs from the queue and consume them, sending results to a result queue. An aggregator pulls results from the result queue to generate reports or update the original data. Examples provided are processing video data to extract resolution and checking streaming status. The queues and workers can be deployed locally or on the cloud for scalability.
Celery is an asynchronous task queue that allows tasks to be handled outside of HTTP requests. For example, a web application could use Celery to poll an API every 10 minutes and store the results in a database without blocking the HTTP response. Celery distributes tasks by passing messages, allowing tasks to run across multiple worker processes. It uses brokers like Redis to manage queues and tasks. Developers define tasks as functions that are executed asynchronously by Celery workers.
ember-socket-guru - common api for websockets providersKuba Niechciał
ember-socket-guru is Ember addon that provides common API for multiple websocket providers in Ember applications. Presentation from May 2017, Ember Berlin Meetup.
DevOps (Continuous Integrations, Continuous Delivery & Continuous deployment using Jenkins and Visual studio team services, setting up VTST build Agents, Integrating VSTS with SonarQube, NDepend,) , Complete automation of pushing code into VSTS from Visual Studio, Building Code by a Jenkin Server hosted on Azure and pushing that successful build on to Azure Web App via Release Pipeline or directly from Jenkins,VSTS Default agents, Setting up local agent from scratch, Setting up agents for code build, VSTS, Visual Studio Online Agents, Agent Pools, Hosted Agents, Hosted VS2017. Hosted Linux Agents, Setting up agent on VS Dev Test Labs, Setting up Template Parameters for Continuos Pipeline, Build Agent Creation Dynamically, Random Machine Name, Random Passwords, Dynamic Agent creation in VS Dev Test labs, Sonarcube, Code quality, Code Analysis, MSBuild, Integrate VSTS Build with NDepend, Package manager, Monolithic Architecture, Nuget, Package management, Npm js.com, Semantic versioning, Creating a nuget package, nuspec file, GitVersion Plugin, FeedURL, Chocolatey for package management, Chocolatey, chocolatey workflow,
This talk represents the combined experience from several web development teams who have been using Symfony2 since months already to create high profile production applications. The aim is to give the audience real world advice on how to best leverage Symfony2, the current rough spots and how to work around them. Aside from covering how to implement functionality in Symfony2, this talk will also cover topics such as how to best integrate 3rd party bundles and where to find them as well as how to deploy the code and integrate into the entire server setup.
Slides from my demonstration of implementing resilience with micronaut framework. The patterns included in the demo consists of the timeout, retry, circuit breaker, and fallback.
Single Page App (SPA) frameworks offer many benefits over traditional web apps which do all of their HTML generation on the server side. Popular SPA frameworks include Vue, React and Angular. Micronaut is very well suited for publishing REST APIs and is a terrific fit for implementing backend logic for SPAs.
Infrastructure-as-code: bridging the gap between Devs and OpsMykyta Protsenko
Ops are overwhelmed with support. Devs are mad because their cannot deploy the changes as fast as they want. Sounds familiar?
Infrastructure-as-code can make your life easier by empowering developers and reducing operations' routine toil. It can cut down the lead time for infrastructure provisioning from hours or even days to minutes.
This talk reviews several IaC tools and approaches, showing how to integrate them into continuous delivery pipeline. It covers the problems and challenges that engineers may face while working with infrastructure-as-code tools and provides a few hands-on recipes to address them.
MCE^3 - Kyle Fuller - End-to-end Building Web Services in-swift-mce-2016PROIDEA
With open source Swift, Apple has created a new range of possibilities. You can now take existing knowledge and code and apply then to web application development.
This talk will show you how you can reuse existing skills to build and deploy your first web service in Swift.
This document introduces TypeScript for Java developers. It provides an overview of TypeScript, why to use it, how to get started, and examples of key TypeScript features like classes, interfaces, generics, decorators, and async/await. The author is an Angular practice lead and Java Champion who has authored books on Angular development with TypeScript. The document demonstrates how to set up a TypeScript environment and compile code, and provides code samples for many TypeScript language features and patterns.
MongoDB is the trusted document store we turn to when we have tough data store problems to solve. For this talk we are going to go a little bit off the path and explore what other roles we can fit MongoDB into. Others have discussed how to turn MongoDB’s capped collections into a publish/subscribe server. We stretch that a little further and turn MongoDB into a full fledged broker with both publish/subscribe and queue semantics, and a the ability to mix them. We will provide code and a running demo of the queue producers and consumers. Next we will turn to coordination services: We will explore the fundamental features and show how to implement them using MongoDB as the storage engine. Again we will show the code and demo the coordination of multiple applications.
This document summarizes the results of using an autotuning tool called Kruize Autotune to optimize the performance of a Java application running in Kubernetes. In three experiments, Kruize Autotune was able to significantly reduce response times compared to default configurations - by 60% in the first experiment, 64% in the second, and 83% in the third. It also achieved cost reductions of up to 8% compared to default configurations. The best overall configuration found by Kruize Autotune is presented.
10 Excellent Ways to Secure Spring Boot Applications - Okta Webinar 2020Matt Raible
Spring Boot is an efficient way to build Java applications with the Spring Framework. If you’re developing apps that handle sensitive data, you should make sure they’re secure.
This session will cover HTTPS, dependency checking, CSRF, using a CSP to prevent XSS, OIDC, password hashing, and much more!
You’ll learn how to add these features to a real application, using the Java language you know and love.
* Blog post: https://developer.okta.com/blog/2018/07/30/10-ways-to-secure-spring-boot
* Cheat sheet: https://snyk.io/blog/spring-boot-security-best-practices/
* OIDC demo: http://bit.ly/spring-oidc-demo
Clojure is a modern dynamically typed lisp. Dynamical typing is ofter associated with poor performance and runtime failures. In this talk, I'll present some of the lessons learned on building Clojure/Script systems that are both ridiculously fast and will fail fast on errors. Will compare the performance of mutable, persistent & zero-copy data structures and show how we can use interpreters and compilers to build beautiful and performant abstractions. A quick demo on how to build a simple non-blocking web server that runs idiomatic Clojure to serve millions of requests per sec.
Clojure is awesome, and it can be fast too.
Video: https://www.youtube.com/watch?v=3SSHjKT3ZmA
This document provides an overview of key concepts for developing applications with Symfony2 including: setting up the framework, code flow, dependency injection, configuration, controllers, applications, Doctrine integration, caching, performance tips, asset management, testing, deployment, third party bundles, and resources for contributing to Symfony2. It discusses service definitions, controller choices, application choices, Doctrine examples, caching strategies, performance optimization techniques, testing approaches, deployment options, and how to work with third party bundles.
Microservices DevOps on Google Cloud PlatformSunnyvale
The document discusses microservices architecture and describes how to build and deploy a sample "Hello World" application using microservices. It covers developing two projects ("World" and "Helidon_HelloWorld"), building Docker images using Cloud Build, storing artifacts in Google Cloud Storage, deploying the application to Google Kubernetes Engine, and exposing it via an external load balancer. The microservices architecture allows developing and deploying complex applications by decomposing them into independently deployable components that communicate over a network.
This document discusses how Sinatra is designed to work with "friends" like Rack, allowing developers to build web applications with minimal effort. It provides examples of how to perform common tasks like CRUD operations and authentication using Sinatra and middleware like Warden. It also highlights how Sinatra applications can be easily deployed to platforms like Heroku with just a "push" and how services like Disqus can be added with minimal effort to provide commenting functionality. The document emphasizes that Sinatra focuses on being lightweight, modular and extensible while still being powerful for real-world applications.
The document provides answers to 12 interview questions about the Struts framework. It defines key concepts like MVC, frameworks, Struts framework, ActionServlet, Action classes, ActionForms, validation, and RequestProcessor. The questions and answers cover the responsibilities and roles of these core Struts components and how they implement the MVC architecture.
The document discusses testing with Spock, a Groovy-based testing framework. It provides examples of different Spock features like BDD-style tests using Given-When-Then, data-driven testing with the @Unroll annotation, mocking, and sharing test state between specifications using the @Shared annotation or setupSpec method. It also covers Spock's integration with JUnit and how to write Spock tests that are compatible with both JUnit 4 and JUnit 5.
Evolving with Java - How to Remain EffectiveNaresha K
Slides from my Java2Days 2020 talk - "Evolving with Java - How to Remain Effective".
Developers find themselves in need to continually update themselves with the rapidly changing technologies to remain relevant and deliver value. However, by keeping a few things in mind and with certain practices, this can be a pleasant experience. In this presentation, I share my experiences learning and evolving with Java in the last 15+ years. The ideas presented are generic enough to be applicable for people using any technology stack. However, the code examples are in Java/ JVM languages.
We start by understanding the importance of gradual improvement. To keep motivated for continuous improvement, in my experience, responsiveness is a vital element. I share my experience of how to increase your responsiveness. To be able to change/ experiment continuously in our code, we need to ensure that we don't break anything. We explore the necessary techniques to achieve safety. Often we mistakenly consider lack of familiarity as complexity. We explore options to come out of this confusion. We then touch upon the impact of learning paradigms and multiple languages available on the JVM. Finally, we touch upon another important aspect of continuous improvement that is unlearning. We conclude the session by summarising the principles.
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This talk represents the combined experience from several web development teams who have been using Symfony2 since months already to create high profile production applications. The aim is to give the audience real world advice on how to best leverage Symfony2, the current rough spots and how to work around them. Aside from covering how to implement functionality in Symfony2, this talk will also cover topics such as how to best integrate 3rd party bundles and where to find them as well as how to deploy the code and integrate into the entire server setup.
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Infrastructure-as-code: bridging the gap between Devs and OpsMykyta Protsenko
Ops are overwhelmed with support. Devs are mad because their cannot deploy the changes as fast as they want. Sounds familiar?
Infrastructure-as-code can make your life easier by empowering developers and reducing operations' routine toil. It can cut down the lead time for infrastructure provisioning from hours or even days to minutes.
This talk reviews several IaC tools and approaches, showing how to integrate them into continuous delivery pipeline. It covers the problems and challenges that engineers may face while working with infrastructure-as-code tools and provides a few hands-on recipes to address them.
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With open source Swift, Apple has created a new range of possibilities. You can now take existing knowledge and code and apply then to web application development.
This talk will show you how you can reuse existing skills to build and deploy your first web service in Swift.
This document introduces TypeScript for Java developers. It provides an overview of TypeScript, why to use it, how to get started, and examples of key TypeScript features like classes, interfaces, generics, decorators, and async/await. The author is an Angular practice lead and Java Champion who has authored books on Angular development with TypeScript. The document demonstrates how to set up a TypeScript environment and compile code, and provides code samples for many TypeScript language features and patterns.
MongoDB is the trusted document store we turn to when we have tough data store problems to solve. For this talk we are going to go a little bit off the path and explore what other roles we can fit MongoDB into. Others have discussed how to turn MongoDB’s capped collections into a publish/subscribe server. We stretch that a little further and turn MongoDB into a full fledged broker with both publish/subscribe and queue semantics, and a the ability to mix them. We will provide code and a running demo of the queue producers and consumers. Next we will turn to coordination services: We will explore the fundamental features and show how to implement them using MongoDB as the storage engine. Again we will show the code and demo the coordination of multiple applications.
This document summarizes the results of using an autotuning tool called Kruize Autotune to optimize the performance of a Java application running in Kubernetes. In three experiments, Kruize Autotune was able to significantly reduce response times compared to default configurations - by 60% in the first experiment, 64% in the second, and 83% in the third. It also achieved cost reductions of up to 8% compared to default configurations. The best overall configuration found by Kruize Autotune is presented.
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Spring Boot is an efficient way to build Java applications with the Spring Framework. If you’re developing apps that handle sensitive data, you should make sure they’re secure.
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You’ll learn how to add these features to a real application, using the Java language you know and love.
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Clojure is a modern dynamically typed lisp. Dynamical typing is ofter associated with poor performance and runtime failures. In this talk, I'll present some of the lessons learned on building Clojure/Script systems that are both ridiculously fast and will fail fast on errors. Will compare the performance of mutable, persistent & zero-copy data structures and show how we can use interpreters and compilers to build beautiful and performant abstractions. A quick demo on how to build a simple non-blocking web server that runs idiomatic Clojure to serve millions of requests per sec.
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This document provides an overview of key concepts for developing applications with Symfony2 including: setting up the framework, code flow, dependency injection, configuration, controllers, applications, Doctrine integration, caching, performance tips, asset management, testing, deployment, third party bundles, and resources for contributing to Symfony2. It discusses service definitions, controller choices, application choices, Doctrine examples, caching strategies, performance optimization techniques, testing approaches, deployment options, and how to work with third party bundles.
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Adobe Lightroom Classic is a desktop-based software application for editing and managing digital photos. It focuses on providing users with a powerful and comprehensive set of tools for organizing, editing, and processing their images on their computer. Unlike the newer Lightroom, which is cloud-based, Lightroom Classic stores photos locally on your computer and offers a more traditional workflow for professional photographers.
Here's a more detailed breakdown:
Key Features and Functions:
Organization:
Lightroom Classic provides robust tools for organizing your photos, including creating collections, using keywords, flags, and color labels.
Editing:
It offers a wide range of editing tools for making adjustments to color, tone, and more.
Processing:
Lightroom Classic can process RAW files, allowing for significant adjustments and fine-tuning of images.
Desktop-Focused:
The application is designed to be used on a computer, with the original photos stored locally on the hard drive.
Non-Destructive Editing:
Edits are applied to the original photos in a non-destructive way, meaning the original files remain untouched.
Key Differences from Lightroom (Cloud-Based):
Storage Location:
Lightroom Classic stores photos locally on your computer, while Lightroom stores them in the cloud.
Workflow:
Lightroom Classic is designed for a desktop workflow, while Lightroom is designed for a cloud-based workflow.
Connectivity:
Lightroom Classic can be used offline, while Lightroom requires an internet connection to sync and access photos.
Organization:
Lightroom Classic offers more advanced organization features like Collections and Keywords.
Who is it for?
Professional Photographers:
PCMag notes that Lightroom Classic is a popular choice among professional photographers who need the flexibility and control of a desktop-based application.
Users with Large Collections:
Those with extensive photo collections may prefer Lightroom Classic's local storage and robust organization features.
Users who prefer a traditional workflow:
Users who prefer a more traditional desktop workflow, with their original photos stored on their computer, will find Lightroom Classic a good fit.
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A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora
Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.
What Do Contribution Guidelines Say About Software Testing? (MSR 2025)Andre Hora
Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and contributions with tests are more likely to be accepted. Although most real-world projects require contributors to write tests, the specific testing practices communicated to contributors remain unclear. In this paper, we present an empirical study to understand better how software testing is approached in contribution guidelines. We analyze the guidelines of 200 Python and JavaScript open-source software projects. We find that 78% of the projects include some form of test documentation for contributors. Test documentation is located in multiple sources, including CONTRIBUTING files (58%), external documentation (24%), and README files (8%). Furthermore, test documentation commonly explains how to run tests (83.5%), but less often provides guidance on how to write tests (37%). It frequently covers unit tests (71%), but rarely addresses integration (20.5%) and end-to-end tests (15.5%). Other key testing aspects are also less frequently discussed: test coverage (25.5%) and mocking (9.5%). We conclude by discussing implications and future research.
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Maxon Cinema 4D 2025 is the latest version of the Maxon's 3D software, released in September 2024, and it builds upon previous versions with new tools for procedural modeling and animation, as well as enhancements to particle, Pyro, and rigid body simulations. CG Channel also mentions that Cinema 4D 2025.2, released in April 2025, focuses on spline tools and unified simulation enhancements.
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Unified Simulation & Particles: Refined physics-based effects and improved particle systems.
Boolean System: Modernized boolean system for precise 3D modeling.
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Learning Panel: Intuitive learning panel for new users.
Redshift Integration: Maxon now includes access to the full power of Redshift rendering for all new subscriptions.
In essence, Cinema 4D 2025 is a major update that provides artists with more powerful tools and workflows for creating 3D content, particularly in the fields of motion graphics, VFX, and visualization.
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This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
Preprint: https://arxiv.org/abs/2501.10037
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Adobe After Effects is a software application used for creating motion graphics, special effects, and video compositing. It's widely used in TV and film post-production, as well as for creating visuals for online content, presentations, and more. While it can be used to create basic animations and designs, its primary strength lies in adding visual effects and motion to videos and graphics after they have been edited.
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Minitab is a statistical software package designed for data analysis, quality improvement, and Six Sigma applications. It's used by businesses, universities, and individuals to analyze data, identify patterns, and make data-driven decisions.
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Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak
As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.
Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot
Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...Andre Hora
Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.
37. sample-service ./gradlew run
> Task :run
05:12:07.121 [main] INFO io.micronaut.runtime.Micronaut - Startup completed in 1260ms. Server Running: http://localhost:8080
05:12:07.251 [nioEventLoopGroup-1-3] INFO i.m.d.registration.AutoRegistration - Registered service [sample-service] with Consul
43. 07:19:19.838 [pool-1-thread-2] ERROR i.m.r.intercept.RecoveryInterceptor - Type
[com.nareshak.demo.GreetClient$Intercepted] attempting to resolve fallback for unavailable service
[sample-service]
07:19:19.843 [pool-1-thread-2] ERROR i.m.h.s.netty.RoutingInBoundHandler - Unexpected error occurred:
No available services for ID: sample-service
io.micronaut.discovery.exceptions.NoAvailableServiceException: No available services for ID: sample-
service at
io.micronaut.http.client.loadbalance.AbstractRoundRobinLoadBalancer.getNextAvailable(AbstractRoundRo
binLoadBalancer.java:50)
49. 07:26:27.347 [pool-1-thread-2] ERROR i.m.r.intercept.RecoveryInterceptor - Type [com.nareshak.demo.GreetClient$Intercepted]
attempting to resolve fallback for unavailable service [sample-service]
07:26:37.355 [pool-1-thread-2] ERROR i.m.r.intercept.RecoveryInterceptor - Type [com.nareshak.demo.GreetClient$Intercepted]
attempting to resolve fallback for unavailable service [sample-service]
07:26:52.361 [pool-1-thread-2] ERROR i.m.r.intercept.RecoveryInterceptor - Type [com.nareshak.demo.GreetClient$Intercepted]
attempting to resolve fallback for unavailable service [sample-service]
07:27:12.373 [pool-1-thread-2] ERROR i.m.r.intercept.RecoveryInterceptor - Type [com.nareshak.demo.GreetClient$Intercepted]
attempting to resolve fallback for unavailable service [sample-service]
07:27:12.378 [pool-1-thread-2] ERROR i.m.h.s.netty.RoutingInBoundHandler - Unexpected error occurred: No available services for
ID: sample-service
io.micronaut.discovery.exceptions.NoAvailableServiceException: No available services for ID: sample-service
at
io.micronaut.http.client.loadbalance.AbstractRoundRobinLoadBalancer.getNextAvailable(AbstractRoundRobinLoadBalancer.java:50)
63. When you in are in cloud-native world, features like fault tolerance,
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Micronaut makes it easier to implement these patterns with its built-in support
Conclusion