Operations | Monitoring | ITSM | DevOps | Cloud

In 2020, we started an internal project to price our data center systems to understand what they might cost to run in the AWS or Azure cloud environments. We initially used some of the online pricing tools available from these vendors, but they were slow and difficult to use in bulk. You can find the public cloud tools here: AWS and Azure. We were forced to add individual systems one at a time and pick options for each because of the nature of these tools.

In the first part of my DevOps 101 series, we tackled the fundamentals of What, who why and how. In this follow-up, I’m going to focus on how to gain buy-in across your organization. That said, who do you need buy-in from? DevOps is the union of people, processes and products to enable continuous delivery of value to our end users, according to Microsoft’s Donovan Brown. That’s a good explanation, because the focus is not on tooling, or processes, or even just people.

Welcome once again to another Logic App Best practices, Tips, and Tricks. In my previous blog posts, I talked about some of the most essential best practices you should have while working with the Azure Logic App: And some tips and tricks: Today I’m going to speak about in my opinion one of the most annoying features/tasks and recommend some Best practices, Tips, and Tricks to minimize it: working with expressions.

Management is also often about accountability. Well, let’s scratch that, it’s always about accountability. And when it comes to IT Service Management (ITSM), that accountability goes double, because we’re dealing with processes that cover your entire organizational structure. That’s when the RACI matrix comes in, an acronym that’s so fundamental that it’s covered by the ITIL Foundation Exam. Today, we’ll learn all about it, and why it can help with service design.

If you own an enterprise, then you know the value of a healthy network and how seriously detrimental a network outage is to your business. But network issues are inevitable. The heavy dependence on networks to meet the ever-changing client and internal usage requirements takes a heavy toll on the network. This makes networks vulnerable to common problems such as unplanned, sudden downtime, high resource utilization, and hardware malfunctioning.

Datadog Events provides customers with a data feed about their infrastructure and applications, delivering an up-to-the-minute history of activity such as code deployments, configuration changes, and triggered alerts. Events collects data from Datadog products and over 100 third-party integrations—including Docker, Jenkins, Kubernetes, Sentry, AWS CloudWatch, and Azure Service Health.