What DevOps Engineer Jobs Does Convox Make Easier?

Successful DevOps teams have a lot to account for. First, they need organized processes that streamline the delivery of core services – builds, internal tooling, quality checks, testing, deployments, and automation. But this need also creates a gap for powerful DevOps tools to support engineer roles and empower them to manage dynamic workflows. When it […]

AWS EFS — The Container Friendly File System

In April 2015 AWS announced a new cloud service: Elastic File System — a Shared File Storage for Amazon EC2. Fast forward to June 28th 2016, more than a year later, and AWS announced that EFS is finally available and production-ready in 3 regions (us-east-1, us-west-2 and eu-west-1). A day later, Convox’s David Dollar opened a pull request integrating EFS into Convox Rack, […]

Dev → Test → Prod Parity with Docker

The Twelve Factor App methodology is a series of best practices to follow when building your app to make it easy to deploy to the cloud. One of the factors is Dev/Prod Parity: Keep development, staging, and production as similar as possible It argues that we should aim to reduce gaps between development and production to increase software […]

Monitoring Your ECS Containers with Datadog

We are big fans of Datadog at Convox and we loved their blog post on monitoring ECS. Reading this post also made me think, “Convox could make this even easier!” So that’s what we did. If you want to deploy a fully instrumented app on ECS follow these instructions and in just a few minutes you will: […]

Configuring APM on Kubernetes

Monitoring your apps In our previous post we gave you a general overview of infrastructure and application monitoring for Kubernetes. In this follow up post we are going to take a deeper dive specifically into application monitoring. The term used by most of the industry for application monitoring is APM which is an acronym for either Application […]

The True Cost of Running Kubernetes in the Cloud

Those of you who use Google’s Kubernetes Engine have likely received a notice recently about GCP adding a $0.10 per hour management fee for all GKE clusters. While this does not represent a significant amount of money for most deployments, it has triggered a bit of a discussion around what it really costs to run a Kubernetes […]

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