Webhooks allow third-party services to send updates through events and deliver real-time information to OpsRamp via HTTP requests. When an event gets triggered, an HTTP POST payload is sent to the configured webhook URL and custom logic associated with the webhook gets executed.

What is cloud computing? If you’ve been asked this question by a client, you know there isn’t an easy answer—it really depends on who you ask, and every article seems to say it’s something different. But as cloud adoption continues to rise, you’ll likely be asked this question over and over again, and you’ll want a simple answer you can rely on. So we’ve broken it down for you.

Graylog’s log aggregation features are useful for a lot of tasks, ranging from regular troubleshooting to detecting issues as soon as they become manifest. Optimizing log management by aggregating all meaningful data is a quick and efficient way to isolate any problem to root causes and solve it with minimal impact on services. Aggregated data is easier to parse and analyze – you can reduce the number of data points in a meaningful way and obtain the answer you need from them.

By Des Nnochiri Robotic process automation, or RPA, promises to increase efficiency and improve work rates at reduced cost to the enterprise. In this article, we’ve assembled eight of the top RPA tools currently on the market. Of course, there are considerations to bear in mind before implementing this emerging technology.

This time last year, Sensu Go hadn’t been released in General Availability (GA) yet. Now, 10 months later, version 5.14 is in production environments, monitoring infrastructure, applications, and connected devices across public and private clouds. It’s been quite a journey to get to a product that’s both a massive improvement over the original Sensu 1.x and helps customers achieve enterprise-level scale.

Imagine you’re driving a car, but there’s no windshield. You can’t see in front of you. On top of that, your car is full of friends looking out the side windows and yelling various things to you: “We should turn left!” “No, we should turn right!” “I’m pretty sure the next turn is in two miles.” In this scenario, how likely are you to reach your destination instead of ending up in a ditch or careening off a bridge?

Tradeoffs are hard. Think about the time when you had to choose between two equally compelling options - (a) addressing technical debt or (b) pushing out that long-awaited feature release, and risk breaking production. Or when your team couldn’t agree on where to draw the line on improving request latency versus shipping a major new update.

Digital transformation is not just a buzzword. It’s real, it’s happening and there is no escaping it. IT teams strive to propel their businesses towards growth and innovation. That’s why 2019 is all about transformative projects in tech: CIOs are planning to increase their investments in cloud technology (67 per cent), AI and machine learning (54 per cent), and emerging tech vendors (41 per cent).

The term 'visually complete' refers to the point in time when a web browser has finished rendering viewable content in the viewport (as opposed to the entire page). Here's how to measure this key metric in production environments.

Let’s start with simple definitions. Time series data is largely what it sounds like – a stream of numerical data representing events that happen in sequence. One can analyze this data for any number of use cases, but here we will be focusing on two: forecasting and anomaly detection. First, you can use time series data to extrapolate the future.