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Apache Mesos VS AWS Elastic Load Balancing

Compare Apache Mesos VS AWS Elastic Load Balancing and see what are their differences

Apache Mesos logo Apache Mesos

Apache Mesos abstracts resources away from machines, enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.

AWS Elastic Load Balancing logo AWS Elastic Load Balancing

Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.
  • Apache Mesos Landing page
    Landing page //
    2018-09-30
  • AWS Elastic Load Balancing Landing page
    Landing page //
    2023-04-27

Apache Mesos videos

Reactive Stream Processing Using Apache Mesos

AWS Elastic Load Balancing videos

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Category Popularity

0-100% (relative to Apache Mesos and AWS Elastic Load Balancing)
Developer Tools
100 100%
0% 0
Web Servers
0 0%
100% 100
DevOps Tools
100 100%
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Web And Application Servers

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Mesos and AWS Elastic Load Balancing

Apache Mesos Reviews

Docker Alternatives
Another Docker alternative is Apache Mesos. This tool is designed to leverage the features of modern kernels in order to carry out functions like resource isolation, prioritization, limiting & accounting. These functions are generally carried out by groups in the Linux or zones in the Solaris. What Mesos does is, it provides isolation for the Memory, I/O devices, file...
Source: www.educba.com

AWS Elastic Load Balancing Reviews

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Social recommendations and mentions

Based on our record, AWS Elastic Load Balancing should be more popular than Apache Mesos. It has been mentiond 22 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.

Apache Mesos mentions (7)

  • Upgrading Hundreds of Kubernetes Clusters
    When we adopted Kubernetes at Criteo, we encountered initial hurdles. In 2018, Kubernetes operators were still new, and there was internal competition from Mesos. We addressed these challenges by validating Kubernetes performance for our specific needs and building custom Chef recipes, StatefulSet hooks, and startup scripts. - Source: dev.to / 2 months ago
  • The 2024 Web Hosting Report
    In the beginning, there was docker. In 2013, building on linux internals, docker packaged containers for mass adoption and made it easy to share a complete runtime environment for an application across the network. Check out their first demo at PyCon 2013 (I was there!) At the time, serious workloads ran on something like Mesos, which was not “container-native” and had its own way of packaging and distributing... - Source: dev.to / 4 months ago
  • World of Containers: Kubernetes vs. Docker
    Distribution of containers to servers, clusters, and data centers Keeping applications up and running with the required number of instances Upgrading applications without downtime These issues are also known as cloud-native characteristics of modern applications. Therefore, a need for container orchestration systems has arisen. There are three leading container orchestrators on the market: Docker Swarm... - Source: dev.to / 10 months ago
  • HelenOS a microkernel-based, multiserver OS from scratch
    Https://mesos.apache.org/ >Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines. - Source: Hacker News / over 1 year ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark works locally on stand-alone clusters and on Hadoop YARN, Apache Mesos, Kubernetes, and other managed Hadoop platforms. - Source: dev.to / over 1 year ago
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AWS Elastic Load Balancing mentions (22)

  • A Ride Through Optimising Legacy Spring Boot Services For High Throughput
    Use load balancers and distribute load accordingly to your redundant spring boot services. - Source: dev.to / 2 months ago
  • DevSecOps with AWS- Ephemeral Environments – Creating test Environments On-Demand - Part 1
    • Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that helps you easily deploy, manage, and scale containerized applications. • AWS Fargate is a serverless, pay-as-you-go compute engine that lets you focus on building applications without managing servers. AWS Fargate is compatible with both Amazon Elastic Container Service (Amazon ECS) and Amazon Elastic... - Source: dev.to / 8 months ago
  • AWS wastes money.
    Elite Dangerous. With proper setup, AWS works great. And I am sure there are hundreds or even thousands of games using them, but not all are willing to share that information. Source: about 1 year ago
  • Fortifying Your Three-Tier Application: Proactive Measures for Strengthening Your Application Security
    Terraform templates can be used to automate the deployment and configuration of the Presentation Tier components. This Terraform code snippet can be used to deploy an AWS Elastic Load Balancer (ELB):. - Source: dev.to / about 1 year ago
  • What is something that you don't understand, but at this point are too embarrassed to ask?
    Assuming you already have two LBs (as above), most services will offer auto scaling of some description to handle this (e.g., https://aws.amazon.com/elasticloadbalancing/). Source: about 1 year ago
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What are some alternatives?

When comparing Apache Mesos and AWS Elastic Load Balancing, you can also consider the following products

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

nginx - A high performance free open source web server powering busiest sites on the Internet.

Charity Engine - Charity Engine takes enormous, expensive computing jobs and chops them into 1000s of small pieces...

Traefik - Load Balancer / Reverse Proxy

BOINC - BOINC is an open-source software platform for computing using volunteered resources

Azure Traffic Manager - Microsoft Azure Traffic Manager allows you to control the distribution of user traffic for service endpoints in different datacenters.