Operations | Monitoring | ITSM | DevOps | Cloud

The modern factory’s relationship with data is experiencing a major change. Data now shapes the future rather than only telling the story of the past. The language inside the factory sounds like higher Overall Equipment Effectiveness (OEE) as the result of a shift from preventive to predictive maintenance. It could also look like expanding business goals to a new market based on impactful data-driven decisions. A change in purpose requires an update in technology.

Are you tired of dealing with IT incidents that seem to pop up at the worst possible times? Do you find yourself struggling to keep track of all the moving pieces involved in resolving incidents? If so, it’s time to revitalize your incident management strategy. In this article, we’ll explore the key pillars of incident process management, best practices, and how technology can help streamline your process.

IT-Incident Management - a hot topic and more important than ever in the digital age. Companies are increasingly relying on technology to maintain their operations, as any downtime can have catastrophic consequences. On average, one minute of downtime costs $9,000. ‍ Therefore, an efficient and especially organization-specific incident management system is essential. However, there are many components and options in incident management, so what software stack should you use? ‍

We’ve all been there: Sleeping peacefully in bed over the weekend, finally getting rest after a long week at your computer making AI-generated memes writing code. Then at 3 a.m., your phone makes an ungodly sound, and you wake up startled, frazzled, and confused. When you finally type in your passcode to unlock your phone (because facial recognition doesn’t register your bleary-eyed, squinty face), you see an alert, and all dreams of sleep are over.

ITIL Service transition is the third stage of the service lifecycle. It involves transitioning the services that were created and developed in strategy and design – first and second stage of the cycle – into the production environment effectively, efficiently, and safely. This stage deals with everything from preparing for change to documenting the components of the asset that make up the service to creating knowledge articles for support teams and end users.

The adoption of software-defined wide area network (SD-WAN) technologies continues to pick up pace. By employing SD-WAN technologies, organizations have the potential to realize a range of advantages. Teams can achieve better performance while using lower cost, using commercially-available technologies. For example, teams can use public internet services rather than more expensive private WAN technologies, such as MPLS.

While Kubernetes comes with a number of benefits, it’s yet another piece of infrastructure that needs to be managed. Here, I’ll talk about three interesting ways that Honeycomb uses Honeycomb to get insight into our Kubernetes clusters. It’s worth calling out that we at Honeycomb use Amazon EKS to manage the control plane of our cluster, so this document will focus on monitoring Kubernetes as a consumer of a managed service.

In the last two posts, we addressed validating whether a string or an array was null or empty. Today we will continue on the same topic, validations, and I will speak about another good Best practice, Tips, and Tricks that you must consider while designing your business processes (Logic Apps): How to validate if a JSON structure is an Array or a single object.

When you first onboard to a monitoring and security platform, it can be difficult to know where to start. Which services should you monitor? What thresholds should you set? How often should you alert your team, and where’s the best starting point for investigations?

As a new Datadog customer, your top priority is figuring out how to maximize the platform’s potential and deliver value to your organization quickly and seamlessly. But with a plethora of options and configurations available at your disposal, it can be overwhelming to determine where to begin. With Datadog, you don’t need to be an expert in observability or monitoring to get up and running efficiently.