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Azure Functions vs Kubernetes: What are the differences?

Azure Functions and Kubernetes are both popular cloud computing platforms used for deploying and managing applications. Here are the key differences between the two.

  1. Container Orchestration: Kubernetes is primarily a container orchestration platform that allows developers to manage and run containerized applications across a cluster of nodes. It provides advanced features like auto-scaling, load balancing, and deployment management. Azure Functions, on the other hand, is a serverless compute service. It allows developers to write and deploy functions without worrying about infrastructure management or scaling.

  2. Deployment Model: In Kubernetes, applications are typically deployed as containerized workloads, where each application component runs within its own container. Azure Functions, on the other hand, deploys functions as individual units of code. Each function is executed in response to an event trigger or an HTTP request.

  3. Scaling: Kubernetes enables horizontal scalability by allowing developers to spin up additional pods or nodes to handle increased workloads. It supports autoscaling based on resource utilization or custom metrics. Azure Functions also support autoscaling, but it scales at a function level. Each function can be independently scaled to handle varying workloads.

  4. Serverless Computing: Azure Functions is designed around the concept of serverless computing. It abstracts away the underlying infrastructure and only charges for the actual resource consumption. Kubernetes, on the other hand, requires developers to provision and manage the infrastructure for their applications.

  5. Development Experience: Kubernetes requires more upfront configuration and setup compared to Azure Functions. Developers have to define deployment manifests, services, and other resources to deploy applications. Azure Functions, being a serverless service, provides a simpler development experience. Developers can focus on writing the code for individual functions without worrying about the underlying infrastructure.

  6. Managed Services: Azure Functions is a fully managed service provided by Microsoft. It handles the management of infrastructure, scaling, and high availability automatically. On the other hand, Kubernetes can be self-hosted or managed by a cloud provider. The level of management and support may vary depending on the chosen deployment model.

In summary, Azure Functions is ideal for serverless computing scenarios, while Kubernetes provides advanced capabilities for container orchestration and management.

Decisions about Azure Functions and Kubernetes
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 10.7M views

Our whole DevOps stack consists of the following tools:

  • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
  • Respectively Git as revision control system
  • SourceTree as Git GUI
  • Visual Studio Code as IDE
  • CircleCI for continuous integration (automatize development process)
  • Prettier / TSLint / ESLint as code linter
  • SonarQube as quality gate
  • Docker as container management (incl. Docker Compose for multi-container application management)
  • VirtualBox for operating system simulation tests
  • Kubernetes as cluster management for docker containers
  • Heroku for deploying in test environments
  • nginx as web server (preferably used as facade server in production environment)
  • SSLMate (using OpenSSL) for certificate management
  • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
  • PostgreSQL as preferred database system
  • Redis as preferred in-memory database/store (great for caching)

The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

  • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
  • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
  • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
  • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
  • Scalability: All-in-one framework for distributed systems.
  • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
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Pros of Azure Functions
Pros of Kubernetes
  • 14
    Pay only when invoked
  • 11
    Great developer experience for C#
  • 9
    Multiple languages supported
  • 7
    Great debugging support
  • 5
    Can be used as lightweight https service
  • 4
    Easy scalability
  • 3
    WebHooks
  • 3
    Costo
  • 2
    Event driven
  • 2
    Azure component events for Storage, services etc
  • 2
    Poor developer experience for C#
  • 166
    Leading docker container management solution
  • 129
    Simple and powerful
  • 107
    Open source
  • 76
    Backed by google
  • 58
    The right abstractions
  • 25
    Scale services
  • 20
    Replication controller
  • 11
    Permission managment
  • 9
    Supports autoscaling
  • 8
    Simple
  • 8
    Cheap
  • 6
    Self-healing
  • 5
    Open, powerful, stable
  • 5
    Reliable
  • 5
    No cloud platform lock-in
  • 5
    Promotes modern/good infrascture practice
  • 4
    Scalable
  • 4
    Quick cloud setup
  • 3
    Custom and extensibility
  • 3
    Captain of Container Ship
  • 3
    Cloud Agnostic
  • 3
    Backed by Red Hat
  • 3
    Runs on azure
  • 3
    A self healing environment with rich metadata
  • 2
    Everything of CaaS
  • 2
    Gke
  • 2
    Golang
  • 2
    Easy setup
  • 2
    Expandable
  • 2
    Sfg

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Cons of Azure Functions
Cons of Kubernetes
  • 1
    No persistent (writable) file system available
  • 1
    Poor support for Linux environments
  • 1
    Sporadic server & language runtime issues
  • 1
    Not suited for long-running applications
  • 16
    Steep learning curve
  • 15
    Poor workflow for development
  • 8
    Orchestrates only infrastructure
  • 4
    High resource requirements for on-prem clusters
  • 2
    Too heavy for simple systems
  • 1
    Additional vendor lock-in (Docker)
  • 1
    More moving parts to secure
  • 1
    Additional Technology Overhead

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What is Azure Functions?

Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.

What is Kubernetes?

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

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What companies use Kubernetes?
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What are some alternatives to Azure Functions and Kubernetes?
AWS Lambda
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
Git
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
GitHub
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Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
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