Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Marathon serves as a robust container orchestration platform that integrates seamlessly with Mesosphere’s Datacenter Operating System (DC/OS) and Apache Mesos, ensuring high availability through its active/passive clustering and leader election mechanism, which guarantees continuous uptime. It supports multiple container runtimes, offering first-class integration for Mesos containers utilizing cgroups as well as Docker, making it adaptable to various development environments. Additionally, Marathon facilitates the deployment of stateful applications by allowing persistent storage volumes to be linked to your apps, which is particularly beneficial for running databases such as MySQL and Postgres with storage managed by Mesos. The platform boasts an intuitive and powerful user interface, along with a range of service discovery and load balancing options to suit diverse needs. Health checks are implemented to monitor application performance via HTTP or TCP checks, ensuring reliability. Users can also set up event subscriptions by providing an HTTP endpoint to receive notifications, which can aid in integrating with external load balancers. Lastly, metrics can be queried in JSON format at the /metrics endpoint, while also being capable of integration with popular systems like Graphite, StatsD, DataDog, or scraped using Prometheus, allowing for comprehensive monitoring and analysis of application performance. This combination of features positions Marathon as a versatile tool for managing containerized applications effectively.
Description
An Application Load Balancer operates at OSI Layer 7 and utilizes attributes from HTTP requests to effectively manage traffic distribution and to create or alter HTTP responses. Each interaction with your applications is logged, enabling you to review and analyze activity through the access logs of the load balancer. By distributing your cloud resources across multiple geographically diverse availability zones, you can ensure that your applications remain accessible even if one zone faces an outage. It is advisable to implement different load balancers tailored to the specific needs of various applications. When utilizing the Yandex Cloud framework to launch multiple applications, it is essential to set up both L4 and L7 load balancers for optimal service. Additionally, you can establish backends for new versions of your applications, allowing for dynamic load shifting within the HTTP router by adjusting the proportion of traffic directed to both old and new backends, thereby facilitating a smooth transition. This strategy not only enhances the robustness of your application deployments but also aids in managing resource efficiency effectively.
API Access
Has API
API Access
Has API
Integrations
Apache Mesos
D2iQ
Datadog
Docker
Graphite Studio
JBoss Portal
Jetty
Prometheus
Yandex Cloud
Integrations
Apache Mesos
D2iQ
Datadog
Docker
Graphite Studio
JBoss Portal
Jetty
Prometheus
Yandex Cloud
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
D2iQ
Founded
2013
Country
United States
Website
mesosphere.github.io/marathon/
Vendor Details
Company Name
Yandex
Country
United Arab Emirates
Website
cloud.yandex.com/en/services/application-load-balancer
Product Features
Product Features
Load Balancing
Authentication
Automatic Configuration
Content Caching
Content Routing
Data Compression
Health Monitoring
Predefined Protocols
Redundancy Checking
Reverse Proxy
SSL Offload
Schedulers