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.
