Need advice about which tool to choose?Ask the StackShare community!
Add tool
Decisions about Azure Functions and Kubernetes
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 28 upvotes · 2M 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.
Pros of Azure Functions
Pros of Kubernetes
Pros of Azure Functions
- Pay only when invoked11
- Great developer experience for C#8
- Great debugging support5
- Multiple languages supported5
- Poor developer experience for C#2
- Can be used as lightweight https service2
- Easy scalability2
- WebHooks1
- Azure component events for Storage, services etc1
- Event driven1
Pros of Kubernetes
- Leading docker container management solution149
- Simple and powerful119
- Open source95
- Backed by google69
- The right abstractions55
- Scale services24
- Replication controller16
- Permission managment9
- Simple6
- Cheap5
- Supports autoscaling5
- Promotes modern/good infrascture practice3
- No cloud platform lock-in3
- Self-healing3
- Open, powerful, stable3
- Scalable3
- Reliable3
- Quick cloud setup2
- A self healing environment with rich metadata2
- Captain of Container Ship2
- Custom and extensibility1
- Expandable1
- Easy setup1
- Gke1
- Golang1
- Backed by Red Hat1
- Everything of CaaS1
- Runs on azure1
- Cloud Agnostic1
- Sfg1
Sign up to add or upvote prosMake informed product decisions
Cons of Azure Functions
Cons of Kubernetes
Cons of Azure Functions
Be the first to leave a con
Cons of Kubernetes
- Poor workflow for development12
- Steep learning curve9
- Orchestrates only infrastructure4
- High resource requirements for on-prem clusters1
Sign up to add or upvote consMake informed product decisions
- No public GitHub repository available -
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.
Need advice about which tool to choose?Ask the StackShare community!
Jobs that mention Azure Functions and Kubernetes as a desired skillset
What companies use Azure Functions?
What companies use Kubernetes?
What companies use Azure Functions?
What companies use Kubernetes?
Sign up to get full access to all the companiesMake informed product decisions
What tools integrate with Azure Functions?
What tools integrate with Kubernetes?
What tools integrate with Azure Functions?
What tools integrate with Kubernetes?
Sign up to get full access to all the tool integrationsMake informed product decisions
Blog Posts
+11 2
1092
+11 1
2482
+7 3
573
+12 3
1028
+2 2
727
+14 11
1862
Jan 15 2020 at 11:37AM
Rafay Systems
+8 3
690
+4 5
2760
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.
Serverless
Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.
Cloud Functions for Firebase
Cloud Functions for Firebase lets you create functions that are triggered by Firebase products, such as changes to data in the Realtime Database, uploads to Cloud Storage, new user sign ups via Authentication, and conversion events in Analytics.
Google Cloud Functions
Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running
Apex
Apex is a small tool for deploying and managing AWS Lambda functions. With shims for languages not yet supported by Lambda, you can use Golang out of the box.
Interest over time
News about Azure Functions
More newsNews about Kubernetes
Blog: A Custom Kubernetes Scheduler to Orchestrate Highly Available Applications
(kubernetes.io)
Dec 21, 2020
Blog: Kubernetes 1.20: Pod Impersonation and Short-lived Volumes in CSI Drivers
(kubernetes.io)
Dec 18, 2020
Blog: Third Party Device Metrics Reaches GA
(kubernetes.io)
Dec 16, 2020
Blog: Kubernetes 1.20: Granular Control of Volume Permission Changes
(kubernetes.io)
Dec 14, 2020
Blog: Kubernetes 1.20: Kubernetes Volume Snapshot Moves to GA
(kubernetes.io)
Dec 10, 2020