serverless-application-model
kubernetes
serverless-application-model | kubernetes | |
---|---|---|
98 | 663 | |
9,241 | 107,048 | |
0.2% | 0.9% | |
9.2 | 10.0 | |
7 days ago | 1 day ago | |
Python | 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-application-model
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Simple and Cost-Effective Testing Using Functions
The complete solution with SAM is available here.
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Deploying a Serverless Dash App with AWS SAM and Lambda
There are many options to deploy Serverless Applications in AWS and one of them is SAM, the Serverless Application Model. I chose to use it here, because it doesn't add too many layers of abstraction between what's being deployed and the code we write and our infrastructure is quite simple.
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Serverless Apache Zeppelin on AWS
The solution uses AWS SAM with the global configuration for Lambda functions and the public API you can use to access Apache Zeppelin. The stack deployment provides the URL as an output value.
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Using design patterns in AWS Lambda
When you combine this with the AWS Serverless Application Model you can also very easily include your dependencies. Or use a compiled language like golang for your Lambda functions. You simply run sam build before you run the aws cloudformation package and aws cloudformation deploy commands. SAM will build the binary and update the template to point to the newly built binary. Package will then upload it to S3 and replace the local reference to the S3 location. Deploy can then create or update the stack or you can use the CloudFormation integration in CodePipeline.
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Serverless Site Health Check Notification System
I'm a big fan of using an Infrastructure as Code (IaC) approach for any project. My go to tools for this are the Servlerless Application Model (SAM) and it's associated CLI (SAM CLI). For more official use cases and for cross platform apps I typically use Terraform.
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Starting My AWS Certification Journey as a Certified Cloud Practitioner
AWS SAM
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API Gateway, Lambda, DynamoDB and Rust
Kicking off the tour and not starting a war, but I'm going to be using the Serverless Application Model.
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Consuming an SQS Event with Lambda and Rust
The diagram here is super simple. I'm going to write something a little later that shows how this code could fit into a bigger workflow, but for now, I'm keeping it basic. And yes, that's the SAM Squirrel in there.
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AWS Data Engineer Associate Certification - Coming Soon
Interestingly, AWS CDK and SAM are both explicitly mentioned. While CDK broadly addresses Infrastructure as Code, SAM is highlighted for its role in developing serverless data pipelines - a hugely underrated concept.
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A Beginner's Guide to the Serverless Application Model (SAM)
Naturally, there are several options available to declare your cloud resources. The options with the most popularity are the CDK, AWS CloudFormation, SST, Serverless framework, Terraform, and AWS SAM. There are others, but when talking about Infrastructure as Code (IaC), these are the ones you hear about most often.
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?
aws-elastic-beanstalk-cli - The EB CLI is a command line interface for Elastic Beanstalk that provides interactive commands that simplify creating, updating and monitoring environments from a local repository.
Apache ZooKeeper - Apache ZooKeeper
LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
bosun - Time Series Alerting Framework
Moto - A library that allows you to easily mock out tests based on AWS infrastructure.
Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
sst-start-demo - A simple SST app to demo the new `sst start` command
kine - Run Kubernetes on MySQL, Postgres, sqlite, dqlite, not etcd.
openvscode-server - Run upstream VS Code on a remote machine with access through a modern web browser from any device, anywhere.
BOSH - Cloud Foundry BOSH is an open source tool chain for release engineering, deployment and lifecycle management of large scale distributed services.
aws-sam-cli - CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
Juju - Orchestration engine that enables the deployment, integration and lifecycle management of applications at any scale, on any infrastructure (Kubernetes or otherwise).