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Simplify Migration from OpenShift 3 to 4

This is a guest post written by Appranix. Now that Red Hat OpenShift 4 has officially been released, it’s time to start thinking about migration from Red Hat OpenShift Container Platform 3 to OpenShift Container Platform 4. You can check out the details about the differences between OpenShift 3 and 4 here. One of the biggest differences between OpenShift 3 and 4 is how OpenShift 4 clusters operate using immutable and automated infrastructure enabled by RHEL CoreOS and automation.

From Scrum to Kanban: Why Most Delivery Teams at PagerDuty Made the Switch

Nearly two years ago, I joined PagerDuty as an Agile Coach with limited experience working with Kanban delivery teams. I started coaching two Scrum teams, but as soon as my teams got word that their peers using Kanban were happier and higher-performing, they pushed for the switch. Today, nearly all delivery teams here have transitioned from Scrum to Kanban.

Four Healthcare Workflows for Better Clinical Communications

Healthcare organizations strive to enhance patient experience, ensuring that patients receive proper treatment at the right time, every time. However, due to antiquated communication tools, such as the pager, this goal is often difficult to achieve for some healthcare providers. Today’s healthcare facilities require an advanced pager replacement solution, integrating with intelligent scheduling systems and EMR solutions for better patient outcomes.

Network Management in a Nutshell for MSPs

Let’s be honest: Network management is a big responsibility. It includes monitoring and controlling a computer network to ensure all of its resources—both hardware and software—are in good shape and are being used productively. And if you’re not a network expert (or don’t have one on your payroll), that probably sounds pretty intimidating. But there’s no time like the present to tackle the topic of network management head on.

How to Monitor Fastly Performance

In the last post, we talked about how Fastly, a content delivery network, provides a global infrastructure footprint to enterprises, and enables them to move apps and websites closer to their end users. Using Fastly CDN, they can serve content and deploy updates quickly, optimize web performance, and improve overall user experience. In this post, we will discuss how to collect, analyze, and monitor Fastly logs.

Three Letters That Can Take Your Investment in ServiceNow to WOW

Organizations around the world are starting to grasp the often harsh reality that their employees’ digital experiences have a direct impact on their bottom line. Indeed, with employees increasingly dealing with ever-changing digital devices, tools and processes, they are also inevitably exposed to new IT problems and frustrations.

What is Logspout?

Logspout is an open source log router designed specifically for Docker container logs. If you’ve ever looked into log management for Docker, chances are you’ve heard of it. Logspout is a container that collects logs from all other containers running on the same host, then forwards them to a destination of your choice. This lets you send logs to an HTTP/S server, syslog server, or other endpoint without having to monitor files or modify your host systems.

Is Blockchain a Permanent Fixture in the IT Industry?

By Des Nnochiri In essence, the nature of business comes down to different companies exchanging value with supplier, partners, and customers. By “value”, we mean goods, services, money, and data. This is the fundamental basis of any business and it has to do this effectively in order to make a profit and survive.

Monitor Apache Ambari with Datadog

Apache Ambari is an open source management tool that helps organizations operate Hadoop clusters at scale. Ambari provides a web UI and REST API to help users configure, spin up, and monitor Hadoop clusters with one centralized platform. As your Hadoop deployment grows in size and complexity, you need deep visibility into your clusters as well as the Ambari servers that manage them. If issues arise in Ambari, it can lead to problems in your data pipelines and cripple your ability to manage clusters.