The latest News and Information on DevOps, CI/CD, Automation and related technologies.
It’s that time of year again — the DevOps Pulse 2020 is here! Last year, nearly 1,000 engineers around the world provided their insights in the DevOps Pulse 2019 so we could get the community’s perspective on the growth and challenges associated with observability, cloud monitoring and more. As we discovered in last year’s DevOps Pulse, observability is still a major challenge for many organizations.
Kubernetes provides the freedom to rapidly build and ship applications while dramatically minimizing deployment and service update cycles. However, the velocity of application deployment requires a new approach that involves integrating tools as early as possible in the deployment pipeline and inspecting the code and configuration against Kubernetes security best practices. Kubernetes has many security knobs that address various aspects required to harden the cluster and applications running inside.
Amazon Web Services is the world’s biggest cloud platform, and businesses of all shapes and sizes use it every day to run their businesses. You may find this surprising, but AWS accounts for more than half of Amazon's operating income. Thus, Amazon has a vested interest in getting as many people to use AWS as possible, so it offers a whole bunch of tools to make it easy to use. AWS Amplify is one of these.
Software Agents are very small programs that we install in each operating system so that it returns metrics to our Pandora FMS Data Server… What does this have to do with Ansible? Let’s see.
Click here to learn more about the components you need for Kubernetes governance success! https://bit.ly/2ELNa70
Datadog is an awesome tool for aggregating and visualizing the metrics that matter to you. Recently, Datadog launched a new Incident Management feature, which allows you to coordinate the activities around a problem that affected your service. In this example, I’ll walk through using Relay to roll back a Kubernetes deployment that caused a service impact, and show how the Datadog Incident timeline can keep everyone working on the incident in sync.