Operations | Monitoring | ITSM | DevOps | Cloud

DevOps

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

A Start to Finish Guide to Docker with Java

Intro to managing and running a containerized Java Spring Boot application. Docker is a platform for packaging, deploying, and running applications in containers. It can run containers on any system that supports the platform: a developer’s laptop, systems on “on-prem,” or in the cloud without modification. Images, the packages Docker uses for applications, are truly cross-platform.

The Force Awakens: PagerDuty + Datadog for DevSecOps

As a long-time security professional, I’m always interested to hear about how companies like Datadog are keeping up with the changing security landscape. I can recall when the security organization was solely responsible for security, and we were focused on protecting the perimeter of our business. However, with the advent of the cloud, mobile, and web applications, that perimeter has disappeared.

Make Git disaster recovery easier with Bitbucket Data Center

With the proliferation of virtualization and high availability architecture, teams are chasing 99.999% uptime like knights of old hunted unicorns. Many site reliability engineers find more comfort in the Boy Scouts’ motto, “Always be prepared.” Your company’s Git server is mission critical to the daily operations of engineering and everyone they support. How do you create business continuity in the face of unpredictable circumstances?

Hyper-V Best Practices Analyzer and VirtualMetric - more power for your engineers and infrastructure

If you are running a Hyper-V and managing a Hyper-V infrastructure, you should be already familiar with the Hyper-V Best Practices Analyzer. Microsoft Hyper-V Best Practices Analyzer is a built-in Windows feature which scans your server configurations for the specific server roles. After the scan is completed, the BPA generate reports that identify the existing best practice violations.

Kubernetes, Data Science, and Machine Learning

Enabling support for data processing, data analytics, and machine learning workloads in Kubernetes has been one of the goals of the open source community. During this meetup we’ll discuss the growing use of Kubernetes for data science and machine learning workloads. We’ll examine how new Kubernetes extensibility features such as custom resources and custom controllers are used for applications and frameworks integration. Apache Spark 2.3.’s native support is the latest indication of this growing trend. We’ll demo a few examples of data science workloads running on Kubernetes clusters setup by our Kublr platform.