serverless-java-container
kubernetes
serverless-java-container | kubernetes | |
---|---|---|
37 | 662 | |
1,454 | 106,923 | |
0.5% | 0.8% | |
9.4 | 10.0 | |
about 16 hours ago | 7 days ago | |
Java | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
serverless-java-container
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Spring Boot 3 application on AWS Lambda - Part 3 Develop application with AWS Serverless Java Container
The key dependency to make it work and translate between Spring Boot 3 (web annotation) model and AWS Lambda is the dependency to the artifact aws-serverless-java-container-springboot3 defined in the pom.xml. It's based on Serverless Java Container which natively supports API Gateway's proxy integration models for requests and responses, and we can create and inject custom models for methods that use custom mappings.
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Spring Boot 3 application on AWS Lambda - Part 2 Introduction to AWS Serverless Java Container
The AWS Serverless Java Container makes it easier to run Java applications written with frameworks such as Spring, Spring Boot 2 and 3, or JAX-RS/Jersey in Lambda. We have already seen that Micronaut framework also uses AWS Serverless Java Container.
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A beginner's guide to AWS Best Practices
Serverless has grown to mean many things and can even mean something different depending on whose cloud you are paying for. But for our team and for the purpose of this article, serverless is a way of building and running applications without having to manage the underlying infrastructure on AWS.
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SpringBoot Serverless REST API - ApiGateway+Lambda, deployed using AWS SAM
Read the Quick Start here: https://github.com/awslabs/aws-serverless-java-container/wiki/Quick-start---Spring-Boot3 Thanks to Mark Sailes for all of his help with this tuto
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Cloud Test Automation on AWS: The Role of QA Engineers
Having knowledge about microservices architectures, serverless, and related concepts is highly beneficial. This includes understanding chaos testing techniques with AWS Fault Injection Simulator.
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Why doesn't blizzard use dynamic server scaling?
I've heard that server providers like Amazon Web Services offer dynamic scaling serverless architecture https://aws.amazon.com/serverless/
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Serverless - Beyond the Basics
AWS Docs - Official documentation for all things AWS serverless
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Serverless Orchestration
Although not what I would consider 'core' cloud services, the orchestration and communication services are key to event driven development and robust application design. If you are structuring your application to take advantage of event flow, these are tools you are going to want to be familiar with, and will be instrumental in your success by saving you time, money, complexity, and management overhead. This about wraps up what I want to cover with serverless cloud services, though there is so much out there to explore. Tune in tomorrow as we start to put all of this together with best practices.*
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Serverless APIs
If you're new to the application development world, API stands for Application Programming Interface, an interface that offers a 'service' of sorts for applications to consume. Google Maps, for instance, has a public API that you or I could use if we're building an application to locate all of the restaurants in our town. They surface this, and many, many other data points via documented endpoints, and we can use things like API keys to access this data. If you're a developer, chances are you will build an API at some point in your career, if not several, and you will definitely work with them. As a key building block in application development, AWS provides a few API solutions.
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What is Serverless?
As an AWS Hero and a Principal Software engineer at a large Fortune 100 enterprise, I have been focused solely on serverless technologies and enablement over the last 3 years. I have spoken quite extensively about our serverless journey, what serverless means in a large enterprise, and how to be successful in a corporate setting. Everything I have learned has been through experience, on-the-job. The serverless definition I resonate with most states that serverless is event-driven, your resources scale up and down without you needing to manage them, and follows an "only pay for what you use" model. Let's break this down a bit further:
kubernetes
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The guide to kubectl I never had.
I’m joking of course. I’m not really sure about what a faded keyboard says about its owner. What I do know for sure is how important kubectl is to anybody who wants to be a proficient Kubernetes administrator.
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Streamlining Deployments: Unveiling the Power of GitOps with Kubernetes
In the field of software development, efficiency and agility are always sought after. In the era of cloud-native apps, traditional deployment techniques—which are frequently laborious and prone to errors—are starting to become obstacles. This is when Kubernetes and GitOps come in handy.
- Presentación del Operador LMS Moodle
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Introducing LMS Moodle Operator
Are you looking for a hassle-free way to deploy Moodle™ Learning Management Systems (LMS) on Kubernetes? Look no further! Krestomatio presents the LMS Moodle Operator, an open-source Kubernetes Operator designed to simplify the deployment and management of Moodle instances on Kubernetes clusters. Let's dive into what makes this tool a great choice for Moodle administrators and developers alike.
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Using NetBird for Kubernetes Access
Securing access to your Kubernetes clusters is crucial as inadequate security measures can lead to unauthorized access and potential data breaches. However, navigating the complexities of Kubernetes access security, especially when setting up strong authentication, authorization, and network policies, can be challenging.
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My Favorite DevTools to Build AI/ML Applications!
Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.
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Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide
To learn more, you can start by exploring the official Kubernetes documentation.
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Building Llama as a Service (LaaS)
With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.
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The power of the CLI with Golang and Cobra CLI
This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.
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Upgrading Hundreds of Kubernetes Clusters
We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.
What are some alternatives?
openapi-generator - OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
Apache ZooKeeper - Apache ZooKeeper
aws-node-termination-handler - Gracefully handle EC2 instance shutdown within Kubernetes
bosun - Time Series Alerting Framework
fargate-cloudformation-example - An example CloudFormation template that deploys a container to AWS Fargate as a service.
Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
NuDB - NuDB: A fast key/value insert-only database for SSD drives in C++11
kine - Run Kubernetes on MySQL, Postgres, sqlite, dqlite, not etcd.
aws-sdk-go - AWS SDK for the Go programming language.
BOSH - Cloud Foundry BOSH is an open source tool chain for release engineering, deployment and lifecycle management of large scale distributed services.
qryptic-api - Qryptic API for retrieving data about cryptocurrencies, wallets and exchanges.
Juju - Orchestration engine that enables the deployment, integration and lifecycle management of applications at any scale, on any infrastructure (Kubernetes or otherwise).