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Google Kubernetes Engine VS Application Load Balance

Compare Google Kubernetes Engine VS Application Load Balance and see what are their differences

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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.

Application Load Balance logo Application Load Balance

Automatically distribute incoming traffic across multiple targets using an Application Load Balancer.
  • Google Kubernetes Engine Landing page
    Landing page //
    2023-02-05
  • Application Load Balance Landing page
    Landing page //
    2023-01-05

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.

Application Load Balance features and specs

  • Layer 7 Processing
    Application Load Balancer operates at the application layer (Layer 7), allowing it to make routing decisions based on advanced content-based rules, such as the HTTP headers, request URL, and query string.
  • Advanced Routing
    ALB supports dynamic host-based and path-based routing, enabling requests to be dispatched to different backend services based on the URL pattern or the host domain, which is particularly useful for microservices architectures.
  • WebSocket and HTTP/2 Support
    Supports sticky sessions and WebSocket, allowing for long-lived sessions and bidirectional communication between clients and servers. It also supports HTTP/2, providing improved performance over HTTP/1.1.
  • Integrated Security Features
    ALB integrates with AWS WAF (Web Application Firewall) to secure applications and protect against common web exploits. It also supports TLS offloading, simplifying encryption management.
  • Monitoring and Logging
    Offers detailed CloudWatch metrics and logs to monitor traffic patterns, latency, and other critical operational details. This helps in proactively troubleshooting and optimizing performance.

Possible disadvantages of Application Load Balance

  • Complex Configuration
    Setting up and configuring ALB might be more complex compared to Network Load Balancers or Classic Load Balancers, especially with intricate routing and security rules.
  • Higher Costs
    Application Load Balancers can be more expensive due to advanced features and capabilities, particularly when handling high traffic levels, compared to simpler load balancing solutions.
  • Limited Protocol Support
    ALB is primarily designed for HTTP/HTTPS traffic and may not be suitable if your application needs to handle TCP/UDP-based protocols directly.
  • Performance Overhead
    Operating at Layer 7 can introduce slight latency due to the additional processing required for content-based routing and SSL termination.

Analysis of Google Kubernetes Engine

Overall verdict

  • Overall, many users find GKE to be a powerful and reliable platform for container orchestration, especially when leveraging other Google Cloud Platform services.

Why this product is good

  • Google Kubernetes Engine (GKE) is considered good because it is a managed environment for deploying, managing, and scaling containerized applications using Google infrastructure. It offers seamless integration with other Google Cloud services, robust cluster management, strong security features, auto-scaling capabilities, and a strong focus on performance and reliability. It also benefits from Google's expertise in Kubernetes, as Google was a primary contributor to the Kubernetes project.

Recommended for

  • Organizations adopting a microservices architecture.
  • Developers looking for a managed Kubernetes solution.
  • Teams that need seamless integration with other Google Cloud services.
  • Companies aiming to efficiently scale their applications with auto-scaling features.
  • Enterprises that require robust security features and compliance with industry standards.

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

Application Load Balance videos

+ Add

AWS ALB | AWS Application Load Balancer | What is Application Load Balancer AWS | Intellipaat

More videos:

  • Review - Step by Step Instructions to setup Application Load Balancer | what is AWS Application Load Balancer

Category Popularity

0-100% (relative to Google Kubernetes Engine and Application Load Balance)

Google Kubernetes Engine

Application Load Balance

Developer Tools
100 100%
Developer Tools
0% 0
Cloud Computing
81 81%
Cloud Computing
19% 19
Cloud Hosting
77 77%
Cloud Hosting
23% 23
DevOps Tools
100 100%
DevOps Tools
0% 0

User comments

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Reviews

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

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

Application Load Balance Reviews

We have no reviews of Application Load Balance yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Google Kubernetes Engine should be more popular than Application Load Balance. It has been mentiond 50 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.

Google Kubernetes Engine mentions (50)

  • Maximizing Efficiency with Dev Containers: A Developer's Guide
    In this section, we'll explore the scenario of connecting to a container that's running within a Kubernetes cluster pod. For demonstration purposes, we're using the Google Kubernetes Engine (GKE) service. - Source: dev.to / 3 months ago
  • 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 / 7 months 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 / 8 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 / 10 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 / about 1 year ago
View more

Application Load Balance mentions (23)

  • Authenticating users in the load balancer with Cognito
    Say that we have an application running behind a public-facing Application Load Balancer (ALB). The load balancer's target can be any supported target, including ECS containers, EC2 instances or even Lambda functions. Because the application is only available to authenticated users, we want to find a solution to identify them. - Source: dev.to / about 2 years ago
  • A Practical Guide To Deploying A Complex, Production Level, Three-tier Architecture On AWS
    The Load balancer is the entry point to the application. The Application Load Balancer, residing in the presentation layer, will route traffic through the AutoScaling Group to logic-tier instances residing in the logic layer. - Source: dev.to / over 2 years ago
  • The RoboNet Artificial Media Protocol - How a new internet protocol can make AI regulation more human
    Eg. AWS can have their Load Balancer tuned for OSI layer 7 rules for ramp content, exactly what everyone would need to redirect RAMP headers/signatures/etc straight into its proper routes/servers. Source: over 2 years ago
  • Creating Application Load Balancer rules for fast feature stack deployments
    The service in question uses ECS Fargate behind a private Application Load Balancer (ALB). The engineering team placed an HTTP API Gateway before the ALB that performs the authentication. - Source: dev.to / over 2 years ago
  • Introduction to Cloud Load-Balancers
    What is an Application Load Balancer? Https://docs.aws.amazon.com/elasticloadbalancing/latest/application/introduction.html. - Source: dev.to / over 2 years ago
View more

What are some alternatives?

When comparing Google Kubernetes Engine and Application Load Balance, you can also consider the following products

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

Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale

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

AWS Lambda - Automatic, event-driven compute service

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

Amazon Route 53 - Amazon Route 53 is a highly available and scalable DNS web service.

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