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jHipster VS Google Kubernetes Engine

Compare jHipster VS Google Kubernetes Engine and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

jHipster logo jHipster

JHipster is a development platform to quickly generate, develop, & deploy modern web applications & microservice architectures.

Google Kubernetes Engine logo Google Kubernetes Engine

Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.
  • jHipster Landing page
    Landing page //
    2023-06-25
  • Google Kubernetes Engine Landing page
    Landing page //
    2023-02-05

jHipster features and specs

  • Rapid Development
    jHipster accelerates the development process by generating a full application stack with a frontend, backend, and necessary configurations in a matter of minutes.
  • Wide Technology Stack
    It supports a variety of modern technologies including Spring Boot, Angular, React, and Vue, giving developers flexibility in their tech choices.
  • Best Practices
    The generated code follows industry best practices for security, scalability, and maintainability, reducing the risk of common pitfalls.
  • Microservices Support
    jHipster provides robust support for microservices architectures, including service discovery, API gateway, and containerization.
  • Active Community
    jHipster has a large and active community which means frequent updates, rich documentation, and abundant third-party tutorials and plugins.
  • Customization
    The generated code is highly customizable, allowing developers to easily modify and extend the generated boilerplate to fit their specific requirements.
  • Integrated Tooling
    It comes with integrated tools like JUnit for testing, Liquibase for database versioning, and Maven/Gradle for build automation.

Possible disadvantages of jHipster

  • Learning Curve
    For developers unfamiliar with the technologies used by jHipster, there can be a steep learning curve before getting productive.
  • Complexity
    The generated applications can be complex, making it harder to understand and maintain the codebase, especially for small projects or teams.
  • Dependency Management
    Managing the numerous dependencies that come with a jHipster project can become cumbersome, leading to potential version conflicts.
  • Overhead
    The inclusion of many features by default can introduce unnecessary overhead, potentially impacting performance and resource usage.
  • Customization Effort
    While customization is possible, it may require significant effort to deviate from the standard patterns and configurations provided by jHipster.
  • Tooling Fragmentation
    Using a wide array of tools and libraries can create fragmentation, leading to challenges in unified project management and deployment.

Google Kubernetes Engine features and specs

  • Managed Service
    GKE is a fully managed service, which means Google takes care of tasks like provisioning, maintenance, and updates of the cluster, reducing the operational burden on users.
  • Scalability
    GKE offers robust scalability options, allowing you to easily scale your applications up or down based on demand. This is facilitated through auto-scaling features for both nodes and pods.
  • Integration with Google Cloud Services
    GKE integrates seamlessly with other Google Cloud services such as Cloud Storage, BigQuery, and more, providing a streamlined experience for leveraging multiple cloud tools.
  • Security
    GKE offers advanced security features like private clusters, and integrates with Google Cloud IAM, which allows for fine-grained access control, helping to secure your Kubernetes environment.
  • Ease of Use
    GKE's comprehensive dashboard, command-line interface, and supporting documentation make it easy to deploy, manage, and monitor Kubernetes clusters.
  • Global Reach
    With GKE, you can deploy clusters across multiple regions and zones, giving you the ability to build highly available, geographically dispersed applications.

Possible disadvantages of Google Kubernetes Engine

  • Cost
    While GKE offers extensive features, it can be more expensive compared to other Kubernetes solutions, especially when additional services and high-availability features are utilized.
  • Limited Customization
    As a managed service, GKE has some limitations in terms of customization and control over the underlying infrastructure compared to self-managed Kubernetes environments.
  • Complexity
    Despite its ease of use features, GKE still requires a certain level of expertise to efficiently manage Kubernetes clusters, which can be a steep learning curve for beginners.
  • Dependence on Google Cloud
    Using GKE ties you to the Google Cloud ecosystem, which may limit flexibility if you decide to migrate to a different cloud provider or adopt a multi-cloud strategy.
  • Resource Constraints
    Like all cloud services, GKE nodes can be subject to resource limits and quotas imposed by Google Cloud, which can impact performance if not properly managed.
  • SLA and Downtime
    While Google Cloud offers Service Level Agreements (SLAs), there is still a risk of downtime which could affect your applications. Additionally, relying on a third-party provider means issues may take time to resolve.

jHipster videos

+ Add

Code One Preview: Spring Boot, Angular, JHipster, OAUTH, OIDC

More videos:

  • Review - Jhipster private reserves part TWO
  • Review - Java Microservices Made Easy with JHipster, Istio, and Kubernetes

Google Kubernetes Engine videos

+ Add

Getting Started with Containers and Google Kubernetes Engine (Cloud Next '18)

More videos:

  • Review - Optimize cost to performance on Google Kubernetes Engine
  • Tutorial - Google Kubernetes Engine (GKE) | Coupon: UDEMYSEP20 - Kubernetes Made Easy | Kubernetes Tutorial

Category Popularity

0-100% (relative to jHipster and Google Kubernetes Engine)

jHipster

Google Kubernetes Engine

Software Development
100 100%
Software Development
0% 0
Developer Tools
27 27%
Developer Tools
73% 73
Cloud Computing
0 0%
Cloud Computing
100% 100
Web Frameworks
100 100%
Web Frameworks
0% 0

User comments

Share your experience with using jHipster and Google Kubernetes Engine. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare jHipster and Google Kubernetes Engine

jHipster Reviews

17 Popular Java Frameworks for 2023: Pros, cons, and more
Spring Boot allows you to create production-grade Spring-based applications that work with minimal configuration. JHipster combines this with Angular, React, Vue, and Bootstrap on the client side to provide you with a full-stack architecture. If you want to see how a JHipster app looks in real life, check out the sample apps for Angular, React, and Vue, created by the...
Source: raygun.com

Google Kubernetes Engine Reviews

Top 12 Kubernetes Alternatives to Choose From in 2023
Google Kubernetes Engine (GKE) is a prominent choice for a Kubernetes alternative. It is provided and managed by Google Cloud, which offers fully managed Kubernetes services.
Source: humalect.com
11 Best Rancher Alternatives Multi Cluster Orchestration Platform
Google Kubernetes Engine is a CaaS (container as a service) platform that lets you easily create, resize, manage, update, upgrade, and debug container clusters. Google Kubernetes Engine, aka GKE, was the first managed Kubernetes service, and therefore, it is highly regarded in the industry.
Source: technicalustad.com
Top 10 Best Container Software in 2022
If you need a speedy creation of developer environments, working on micro services-based architecture and if you want to deploy production grade clusters then Docker and Google Kubernetes Engine would be the most suitable tools. They are very well suited for DevOps team.
Source: www.softwaretestinghelp.com
7 Best Containerization Software Solutions of 2022
If you’re looking for a managed solution to help you deploy and scale containerized apps on your virtual machines quickly, Google Kubernetes Engine is a great choice.
Source: techgumb.com

Social recommendations and mentions

Based on our record, Google Kubernetes Engine seems to be more popular. It has been mentiond 49 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

jHipster mentions (0)

We have not tracked any mentions of jHipster yet. Tracking of jHipster recommendations started around Mar 2021.

Google Kubernetes Engine mentions (49)

  • Google Cloud Unveils A4 VMs with NVIDIA Blackwell GPUs for AI
    Integration with Google Kubernetes Engine (GKE), which supports up to 65,000 nodes per cluster, facilitating robust AI infrastructure. - Source: dev.to / about 1 month ago
  • Deploy Gemini-powered LangChain applications on GKE
    In my previous post, we explored how LangChain simplifies the development of AI-powered applications. We saw how its modularity, flexibility, and extensibility make it a powerful tool for working with large language models (LLMs) like Gemini. Now, let's take it a step further and see how we can deploy and scale our LangChain applications using the robust infrastructure of Google Kubernetes Engine (GKE) and the... - Source: dev.to / 3 months ago
  • Securing Applications Using Keycloak's Helm Chart
    Kubernetes cluster: You need a running Kubernetes cluster that supports persistent volumes. You can use a local cluster, like kind or Minikube, or a cloud-based solution, like GKE%20orEKS or EKS. The cluster should expose ports 80 (HTTP) and 443 (HTTPS) for external access. Persistent storage should be configured to retain Keycloak data (e.g., user credentials, sessions) across restarts. - Source: dev.to / 5 months ago
  • Simplify development of AI-powered applications with LangChain
    In a later post, I will take a look at how you can use LangChain to connect to a local Gemma instance, all running in a Google Kubernetes Engine (GKE) cluster. - Source: dev.to / 7 months ago
  • 26 Top Kubernetes Tools
    Google Kubernetes Engine (GKE) is another managed Kubernetes service that lets you spin up new cloud clusters on demand. It's specifically designed to help you run Kubernetes workloads without specialist Kubernetes expertise, and it includes a range of optional features that provide more automation for admin tasks. These include powerful capabilities around governance, compliance, security, and configuration... - Source: dev.to / 11 months ago
View more

What are some alternatives?

When comparing jHipster and Google Kubernetes Engine, you can also consider the following products

OpenXava - OpenXava is a Web Java Framework for Rapid Development of Enterprise Applications.

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

Telosys - Telosys is a lightweight Open Source code generator. Telosys allows to generate any kind of language (Java, Python, GoLang, PHP, JavaScript, TypeScript, C#, etc). It works without UML model. All the code generation templates are customizable.

Amazon ECS - Amazon EC2 Container Service is a highly scalable, high-performance​ container management service that supports Docker containers.

Inuvika OVD Enterprise - A cost-effective alternative to Citrix or VMware Horizon for virtualized apps and desktops. Requires less infrastructure and fewer Microsoft licenses. Lower your TCO by up to 60%. Easy admin and great user experience.

Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.

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