Helm vs Spring Cloud

Overview

Spring Cloud

Stacks1.6K

Followers753

Votes0

Helm

Stacks1.4K

Followers911

Votes18

Helm vs Spring Cloud: What are the differences?

Introduction

In this post, we will discuss the key differences between Helm and Spring Cloud for managing applications in a website.

Packaging and Deployment: Helm is primarily focused on packaging and deploying applications on Kubernetes clusters. It provides a templating engine and a package manager to create reusable application packages called charts. On the other hand, Spring Cloud is a framework for building, deploying, and managing distributed applications, with a focus on microservices architecture. It provides a set of libraries and tools to ease the development and deployment process.
Compatibility with Infrastructure: Helm is tightly coupled with Kubernetes infrastructure and is specifically designed to work with Kubernetes clusters. It leverages Kubernetes APIs and resources to manage application deployment and scaling. In contrast, Spring Cloud is technology agnostic and can be used with any infrastructure or cloud platform. It provides integrations with popular cloud platforms like AWS, Azure, and Google Cloud, allowing developers to seamlessly deploy applications on these platforms.
Application Configuration Management: Helm allows users to define and manage application configuration using ConfigMaps and Secrets in Kubernetes. It provides a declarative way to manage configuration values and inject them into application pods during deployment. Spring Cloud, on the other hand, provides a more flexible and configurable approach to manage application configuration. It supports centralized configuration management using tools like Spring Cloud Config Server, which provides a Git-backed configuration repository.
Service Discovery and Load Balancing: Helm relies on Kubernetes service discovery and load balancing mechanisms to route traffic to application pods. The Kubernetes service abstraction allows applications to discover and communicate with other services within the cluster. Spring Cloud provides its own service discovery and load balancing capabilities through libraries like Netflix Eureka and Ribbon. These libraries enable applications to dynamically discover and consume other services registered in the service registry.
Fault Tolerance and Resilience: Helm does not provide built-in mechanisms for fault tolerance and resilience. However, it can leverage Kubernetes features like replication controllers, resource limits, and health checks to ensure high availability of applications. Spring Cloud, on the other hand, offers several resilience patterns and fault tolerance mechanisms out of the box. It provides libraries like Netflix Hystrix for implementing circuit breakers, retries, and fallbacks, allowing applications to gracefully handle failures and recover from errors.
Monitoring and Tracing: Helm does not provide native monitoring and tracing capabilities. However, it can integrate with external monitoring and logging tools like Prometheus and Grafana to collect and visualize application metrics. Spring Cloud, on the other hand, provides built-in support for distributed tracing and monitoring through libraries like Zipkin and Micrometer. These libraries enable developers to trace and monitor requests across microservices, collect metrics, and gain insights into application performance.

In summary, Helm is a packaging and deployment tool specifically designed for Kubernetes, while Spring Cloud is a framework for building and managing microservices applications across various infrastructure and cloud platforms.

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Advice on Spring Cloud, Helm

Anis

Founder at Odix

Nov 7, 2020

Review

I recommend this : -Spring reactive for back end : the fact it's reactive (async) it consumes half of the resources that a sync platform needs (so less CPU -> less money). -Angular : Web Front end ; it's gives you the possibility to use PWA which is a cheap replacement for a mobile app (but more less popular). -Docker images. -Kubernetes to orchestrate all the containers. -I Use Jenkins / blueocean, ansible for my CI/CD (with Github of course) -AWS of course : u can run a K8S cluster there, make it multi AZ (availability zones) to be highly available, use a load balancer and an auto scaler and ur good to go. -You can store data by taking any managed DB or u can deploy ur own (cheap but risky).

You pay less money, but u need some technical 2 - 3 guys to make that done.

Good luck

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Comments

Detailed Comparison

Spring Cloud	Helm
It provides tools for developers to quickly build some of the common patterns in distributed systems.	Helm is the best way to find, share, and use software built for Kubernetes.
Distributed/versioned configuration; Service registration and discovery; Routing; Service-to-service calls; Load balancing; Circuit Breakers; Global locks; Leadership election and cluster state; Distributed messaging	-
Statistics
Stacks 1.6K	Stacks 1.4K
Followers 753	Followers 911
Votes 0	Votes 18
Pros & Cons
No community feedback yet	Pros 8 Infrastructure as code 6 Open source 2 Easy setup 1 Testability and reproducibility 1 Support
Integrations
Hystrix Eureka Zuul	Docker Kubernetes

What are some alternatives to Spring Cloud, Helm?

Node.js

Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.

Rails

Rails is a web-application framework that includes everything needed to create database-backed web applications according to the Model-View-Controller (MVC) pattern.

Django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.

Laravel

It is a web application framework with expressive, elegant syntax. It attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as authentication, routing, sessions, and caching.

.NET

.NET is a general purpose development platform. With .NET, you can use multiple languages, editors, and libraries to build native applications for web, mobile, desktop, gaming, and IoT for Windows, macOS, Linux, Android, and more.

ASP.NET Core

A free and open-source web framework, and higher performance than ASP.NET, developed by Microsoft and the community. It is a modular framework that runs on both the full .NET Framework, on Windows, and the cross-platform .NET Core.

Symfony

It is written with speed and flexibility in mind. It allows developers to build better and easy to maintain websites with PHP..

Spring

A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.

Spring Boot

Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.

Android SDK

Android provides a rich application framework that allows you to build innovative apps and games for mobile devices in a Java language environment.

Related Comparisons

Helm vs Spring Cloud: What are the differences?

Introduction

In this post, we will discuss the key differences between Helm and Spring Cloud for managing applications in a website.

Packaging and Deployment: Helm is primarily focused on packaging and deploying applications on Kubernetes clusters. It provides a templating engine and a package manager to create reusable application packages called charts. On the other hand, Spring Cloud is a framework for building, deploying, and managing distributed applications, with a focus on microservices architecture. It provides a set of libraries and tools to ease the development and deployment process.
Compatibility with Infrastructure: Helm is tightly coupled with Kubernetes infrastructure and is specifically designed to work with Kubernetes clusters. It leverages Kubernetes APIs and resources to manage application deployment and scaling. In contrast, Spring Cloud is technology agnostic and can be used with any infrastructure or cloud platform. It provides integrations with popular cloud platforms like AWS, Azure, and Google Cloud, allowing developers to seamlessly deploy applications on these platforms.
Application Configuration Management: Helm allows users to define and manage application configuration using ConfigMaps and Secrets in Kubernetes. It provides a declarative way to manage configuration values and inject them into application pods during deployment. Spring Cloud, on the other hand, provides a more flexible and configurable approach to manage application configuration. It supports centralized configuration management using tools like Spring Cloud Config Server, which provides a Git-backed configuration repository.
Service Discovery and Load Balancing: Helm relies on Kubernetes service discovery and load balancing mechanisms to route traffic to application pods. The Kubernetes service abstraction allows applications to discover and communicate with other services within the cluster. Spring Cloud provides its own service discovery and load balancing capabilities through libraries like Netflix Eureka and Ribbon. These libraries enable applications to dynamically discover and consume other services registered in the service registry.
Fault Tolerance and Resilience: Helm does not provide built-in mechanisms for fault tolerance and resilience. However, it can leverage Kubernetes features like replication controllers, resource limits, and health checks to ensure high availability of applications. Spring Cloud, on the other hand, offers several resilience patterns and fault tolerance mechanisms out of the box. It provides libraries like Netflix Hystrix for implementing circuit breakers, retries, and fallbacks, allowing applications to gracefully handle failures and recover from errors.
Monitoring and Tracing: Helm does not provide native monitoring and tracing capabilities. However, it can integrate with external monitoring and logging tools like Prometheus and Grafana to collect and visualize application metrics. Spring Cloud, on the other hand, provides built-in support for distributed tracing and monitoring through libraries like Zipkin and Micrometer. These libraries enable developers to trace and monitor requests across microservices, collect metrics, and gain insights into application performance.

Helm vs Spring Cloud

Overview

Helm vs Spring Cloud: What are the differences?