Operations | Monitoring | ITSM | DevOps | Cloud

The power of community, and doing things together as that community, was the overarching theme in much of KubeCon/CloudnativeCon presentations. We were incredibly lucky to be able to attend, experience and learn from so many Cloud Native experts and developers over the past week.

With the growing complexity and velocity of security threats in dynamic, cloud-native environments, it’s more important than ever for security teams to have the same visibility into their infrastructure, network, and applications that developers and operations do. Conversely, as developers and operations become responsible for securing their services, they need their monitoring platform to help surface possible threats.

Whether you’re new to development or a seasoned developer, containers have proven to be game-changing in building, testing, and deploying applications. This article is meant as a quick introduction to the world of containers. To get started, you’ll need to install Docker to follow along with the examples. If you haven’t installed Docker yet, head over to their website to get it installed. There are free versions available for all major operating systems.

Ever since container technology hit the scene in 2013, it’s generated excitement from developers and operations teams. Using containers to deliver apps and microservices helps enable large scalable deployments with smoother rollouts, accomplishing in minutes what used to take hours, if not days. Delivering the containers themselves, however, can still be challenging to do across all types of modern infrastructure.

Sensu Summit 2019 featured talks from the Sensu Community, including Harvard University SRE Molly Duggan, who shared how the Harvard FAS Research Computing Department uses CI/CD pipelines and the Sensu Go API to automate monitoring for their highly complex infrastructure.

I never thought that this would be my life. For more than a year, I’ve been talking to individual customers and getting inspired by their stories, challenges, and goals. Now, I have the spectacular opportunity to meet entire conference rooms of people who are excited to hear about my story, challenges, and goals. This is my time to give back to the types of users who have inspired me ever since I entered the serverless space.

For over a decade, JFrog has been performing heavy lifts. We pioneered artifact management, have served developers with industry-leading tools, and helped them get containers quickly and safely where they need to go. Today we’re delighted to announce JFrog Container Registry, the world’s most advanced, fully hybrid Docker registry that’s free to use on-prem, in the cloud, or both.

At Datadog, we rely heavily on Kubernetes, and we’re facing some interesting challenges as we use Kubernetes to scale further and strive for greater efficiency. To address these challenges, we’ve been working on solutions to help us better control how our clusters scale, and to make it easier to deploy and manage the Datadog Agent. Today, we’re open sourcing these solutions to share them with the rest of the Kubernetes community.

By next year the number of connected devices will exceed 20 billion. The vast majority of these devices run on Arm architecture, increasingly at the infrastructure edge. With this growth in mind, the need for an agile, Arm-based development methodology has become increasingly urgent. Arm Neoverse provides the required IP for building the next gen of edge to cloud infrastructure to support the data explosion we are seeing, primarily caused by IoT.

What is Microsoft Azure Functions and how does it compare to Azure Automation? As Microsoft Azure continues to be developed and more automation options become available; Azure Automation, Logic Apps, ARM (Azure Resource Manager) and Azure Functions to name a few, the question is quickly turning from ‘how do I automate with Azure?’ to ‘what automation type do I use in Azure?’.