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  1. Stackups
  2. Application & Data
  3. Serverless
  4. Serverless Task Processing
  5. Dkron vs Kubeless

Dkron vs Kubeless

OverviewComparisonAlternatives

Overview

Kubeless
Kubeless
Stacks39
Followers195
Votes0
Dkron
Dkron
Stacks9
Followers28
Votes0

Dkron vs Kubeless: What are the differences?

Introduction

In this markdown, we will compare the key differences between Dkron and Kubeless. Dkron and Kubeless are both tools used in the field of distributed systems and cloud computing. However, there are several differences between these two tools that make them unique and suitable for different use cases.

  1. Architecture Difference: Dkron is designed for distributed job scheduling and execution, while Kubeless is a function as a service (FaaS) platform built on Kubernetes. Dkron focuses on task orchestration and management, whereas Kubeless provides a serverless computing environment for running functions.

  2. Job Execution Model: Dkron follows a distributed scheduler and worker model, where multiple agents coordinate to schedule and execute jobs. In contrast, Kubeless relies on event-driven triggers to execute functions based on various events like HTTP requests, timers, or messaging queues.

  3. Programming Language Support: Dkron supports job execution in various programming languages, including Go, Python, Ruby, and shell scripts. On the other hand, Kubeless provides support for running functions written in popular programming languages like Python, Node.js, Ruby, Java, and more.

  4. Scalability and Resource Management: Dkron does not have native support for auto-scaling and resource management. On the other hand, Kubeless leverages the scalability and resource management capabilities of Kubernetes, allowing functions to scale automatically based on demand and resource utilization.

  5. Deployment Model: Dkron can be deployed on multiple machines or instances, forming a cluster of Dkron agents. It can also be integrated with various other tools and services to create a complete distributed system. In contrast, Kubeless is typically deployed on a Kubernetes cluster and leverages all the benefits and features provided by Kubernetes.

  6. Ecosystem Integration: Dkron integrates with various systems and tools such as Consul, Redis, and Grafana, allowing users to leverage these tools in conjunction with Dkron's job scheduling capabilities. Kubeless integrates with the wider Kubernetes ecosystem and can leverage tools and services provided by Kubernetes, such as monitoring, logging, and service discovery.

In Summary, Dkron and Kubeless are both powerful tools in the distributed systems and cloud computing domains, but they have different focus areas and use cases. Dkron is primarily used for distributed job scheduling and execution, offering richer job orchestration capabilities across various languages. On the other hand, Kubeless provides a serverless computing platform built on Kubernetes, allowing users to run functions in popular programming languages in a scalable and event-driven manner.

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Detailed Comparison

Kubeless
Kubeless
Dkron
Dkron

Kubeless is a Kubernetes native serverless Framework. Kubeless supports both HTTP and event based functions triggers. It has a serverless plugin, a graphical user interface and multiple runtimes, including Python and Node.js.

Dkron is a system service that runs scheduled jobs at given intervals or times, just like the cron unix service but distributed in several machines in a cluster. If a machine fails (the leader), a follower will take over and keep running the scheduled jobs without human intervention.

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Executor plugins; Processor plugins; Web UI; Rest API; Job retries; Job chaining; Concurrency control; Historial Metrics; Docker executor; AWS ECS executor; Elasticsearch processor; Advanced Email processor; Embedded storage engine (etcd); Encryption; Web UI Authorization; API Authorization; Dedicated Support
Statistics
Stacks
39
Stacks
9
Followers
195
Followers
28
Votes
0
Votes
0
Integrations
Docker
Docker
Kafka
Kafka
Zookeeper
Zookeeper
Serverless
Serverless
Kubernetes
Kubernetes
No integrations available

What are some alternatives to Kubeless, Dkron?

AWS Lambda

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.

Azure Functions

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.

Google Cloud Run

Google Cloud Run

A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.

Serverless

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.

Google Cloud Functions

Google Cloud Functions

Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running

Knative

Knative

Knative provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center

OpenFaaS

OpenFaaS

Serverless Functions Made Simple for Docker and Kubernetes

Nuclio

Nuclio

nuclio is portable across IoT devices, laptops, on-premises datacenters and cloud deployments, eliminating cloud lock-ins and enabling hybrid solutions.

Apache OpenWhisk

Apache OpenWhisk

OpenWhisk is an open source serverless platform. It is enterprise grade and accessible to all developers thanks to its superior programming model and tooling. It powers IBM Cloud Functions, Adobe I/O Runtime, Naver, Nimbella among others.

Cloud Functions for Firebase

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.

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