We’ve all read those op-eds in the Smarter Living section of NYT about impostors syndrome. After all, they have been getting more and more traction as a new generation enters the associate-level in their career.
Canary releases are a powerful technique for updating large-scale production environments safely. The idea is simple: deploy the update to a subset of your environment, pause and monitor to ensure everything is healthy, and then deploy to the next subset. But implementing these staged releases can be challenging, as you’ll need to retool your deployment pipeline and build programmatic health checks to validate the success of each canary release.
Last month, members of the Datadog community convened in Seattle for our customer summit. There, they discussed new developments in monitoring dynamic infrastructure and applications, learned about the latest updates to the Datadog platform, and shared tips, tools, and techniques from their own experiences.
Whether an active member of the ELK community or just a happy user, you’ve probably heard of a recent data breach involving Elasticsearch. Indeed, not a month goes by where we don’t come across an article or research showcasing a set of sensitive information exposed on an Elasticsearch cluster.
“I’ve run a lot of systems in production, and a lot of what has gone into the Kubernetes project came out of scars that came from running web search in production and running API services,” Brendan Burns, the co-creator of Kubernetes, said at the top of his keynote at GrafanaCon L.A.
At Mattermost, we believe in the power of open source software and open companies. To this end, we’re thrilled to announce that we’ve been accepted into Google’s inaugural Season of Docs, a new program designed to highlight the promise of open source technology while raising awareness of the critical role docs and the technical writers who create them play in the success of open source projects.
The early adopters have begun to find a great degree of success and it is now time for the more mainstream enterprise to get off the proverbial wall and begin exploring containers and other areas of the cloud-native landscape. However, there is a need to mitigate or manage the risk of adopting new technology as it does introduce a dimension of change that accompanies any transformation.
With the adoption of agile microservices, enterprise IT teams have rapidly transitioned from managing pets (physical and virtual servers) to cattle (public cloud services) to now chickens (containerized infrastructure). Container platforms like Docker and container orchestration engines like Kubernetes are helping IT operators drive greater agility, portability, and flexibility for scaling, managing, and optimizing microservices architectures.
Apache HTTP Server is a free and open-source web server that delivers web content through the internet. It is commonly referred to as Apache and after development, it quickly became the most popular HTTP client on the web. It’s widely thought that Apache gets its name from its development history and process of improvement through applied patches and modules but that was corrected back in 2000.
Everybody climb aboard the hype train with me. Today, we’re going to study a new job title: the DevOps engineer. This role is getting popular in the same way that the full-stack developer role became popular before it. In fact, one could argue that the DevOps engineer is an extension of the full-stack developer in that both seek to extend our ownership of our software.
