The observability market is undoubtedly hot. Consider the headline-grabbing evidence: multiple IPOs, hundreds of millions of dollars in venture capital funding for startups, and huge market caps of vendors playing in the space totalling more than $80 billion. Still, it has to be asked: Is all the hype warranted, or is this really just “absurdability”? We asked seven industry watchers to weigh in.
I’m excited to announce the release of Puppet Enterprise 2019.8.3. This release builds on a number of important product enhancements based on customer feedback and delivers on the second phase of our highly requested Value Dashboard.
The 2019.8.2 release of Puppet Enterprise has added a significant improvement to code deployment by enabling Puppet modules to be downloaded in parallel instead of serially. This functionality was added to the upstream r10k project almost a year ago and has now been added to Puppet Enterprise Code Manager.
Puppet Plans were added in the 2019.2 release of Puppet Enterprise and Puppet Enterprise 2019.8.2 extends that functionality by adding support for scheduling Puppet Plans. This enables plans to be run at some point in the future or on a recurring schedule. Plans can be scheduled using the Puppet Enterprise console, Puppet Enterprise command line, or the Puppet Enterprise REST API. In this blog post we’ll walk through how to schedule a Puppet Plan in the Puppet Enterprise console.
share post Gaming is a vast industry that is continuing to grow. Multi-player cloud-based games especially are becoming more popular and taking the market by storm. With everything going on in the world, it’s no wonder people are looking for a bit of downtime and a way to escape the tribulations of everyday life. Game developers face many challenges in order to get their games on the screens of as many global players as possible.
The Docker infrastructure abstracts a lot of aspects of the creation of images and running them as containers, which we usually do not know about nor interact with. One of those aspects is the handling of the filesystem inside the container. This post is a case study on how we discovered that writing large amounts of data inside a container has side effects with memory caching. Initially, we thought that we had an issue with our source code, but this was never the case.
One of our most commonly requested integrations, Datadog cloud monitoring, was announced last week on the Datadog blog! Sleuth organizes your deployments into projects, which collect and organize key data from your code sources and their associated staging environments. This data consists of metrics and errors.
When we were building out our first UI at Speedscale we wanted to get something up and running quickly. Fortunately there are a ton of options of web frameworks that can be used to throw together a quick “hello world” kind of application. However, a SaaS application needs a lot more than just displaying data. It needs to handle user authentication, loading data from a backend API, displaying data in a variety of formats, etc.
Mattermost now gives users flexibility to organize channels and direct messages into custom, collapsible sidebar categories. Users gain full personalization of their sidebar to improve productivity, reduce clutter, and focus on what matters. Today, we’re excited to share a preview of some of the experimental sidebar features that the Mattermost team has been working on.
