June and July are traditionally slow months. The sun is out, and there’s too much work reflecting off all our monitors for any of us to get much work done. For us, it’s doubly slow as we’re putting all of our efforts towards a big launch later this year. Still, some great stuff came out.
In this post we are going to demonstrate how to deploy a Kubernetes autoscaler using a third party metrics provider. You will learn how to expose any custom metric directly through the Kubernetes API implementing an extension service.
The radical shift towards DevOps and the continuous everything movement have changed how organizations develop and deploy software. As the consolidation and standardization of continuous integration and continuous delivery (CI/CD) processes and tools occur in the enterprise, a standardized DevOps model helps organizations deliver faster software functionality at a large scale.
In the first two articles in this series about using serverless on an open source platform, I described how to get started with serverless platforms and how to write functions in popular languages and build components using containers on Apache OpenWhisk.Here in the third article, I’ll walk you through enabling serverless in your Kubernetes environment.
Pandora FMS 737 release includes a brand new feature: automated software agent deployment from the console. In addition, the Discovery feature is still being developed, incorporating a new Cloud plugin for Azure. A new SLA reporting feature has also been added with Failover modules and other small enhancements.
At Honeycomb, we’ve often discussed the value of making software deployments early and often, and being able to understand your code as it runs in production. However, these principles aren’t specific to only your customer-facing software. Configuration-as-code, such as Terraform, is in fact code that needs to go through a release process as well. Lacking formal process around Terraform deployment means a de-facto process that generates reliability risk.
Transformation of IT Ops When I think of the term IT Ops I immediately think of Enterprise IT and the traditional attributes that make up this function – many of which are in the middle of an industry-wide disruption – and its associated impact. At LinkedIn, when we first looked at business process support, shadow IT and non-accounted-for IT spend, about 10 years ago, it was a bit of a revelation to me how the landscape had already changed by then.
