mirrord VS Apache Mesos

mirrord Reviews

1. saasy

   11 months ago
   The smartest way to debug cloud native applications.

   I can debug my code on my machine while it's accessing resources on my k8s cluster.

2. Eyal Bukchin

   | CTO at MetalBear | 11 months ago

   mirrord is super easy to get started with and works out of the box on any deployment.

   🏁 Competitors: Telepresence

   👍 Pros:    Easy to get started|Wide range of integrations|Great customer support|Great ux

Apache Mesos Reviews

mirrord mentions (10)

• The Traffic Police 🚨 - Controlling outgoing traffic with mirrord

  So, you've been using mirrord to simplify your development process (if you haven’t, go here!). Naturally, you want the traffic from the app you're debugging to go through the cluster environment, so your app can communicate with its clustery pals. There is a problem though: your latest change adds some new columns to the database, and you don’t want to modify the database in the cluster and affect everyone else... - Source: dev.to / 3 months ago

• Hands-on Tutorial of mirrord - Rawkode Academy

  Hands-on tutorial of mirrord.dev with the creators and Rawkode! Source: 10 months ago

• mirrord as an alternative to Telepresence

  We're building an open-source tool called mirrord which lets you run a local process in the context of a pod in your cloud environment. We often get asked how mirrord is different from Telepresence and so we decided to write a short blog post about it, which we hope would be valuable to those interested in local Kubernetes development:. Source: 10 months ago

• What steps do you usually take to troubleshoot Kubernetes pods?

  If you want to troubleshoot your app specificially or any network traffic, I'd recommend Https://mirrord.dev/ Just do, mirrord exec -t pod/target-pod -- ./path/to/process and run it in the context of your pod. Source: 11 months ago

• The mirrord IntelliJ plugin now also supports node.js!

  Turns out supporting node.js in IntelliJ plugins is not as easy as you would expect (mostly because the extension point we are extending is not documented. With documentation this could have been simple), but we did it! I'm the JetBrains fan of the team, so I'm happy we're extending our support for IntelliJ. You can now run and debug node.js applications with the mirrord IntelliJ plugin. Mirrord let's you run... Source: about 1 year ago

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 / about 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 / 3 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