Operations | Monitoring | ITSM | DevOps | Cloud

Today I will speak about another important Best practice, Tips, and Tricks that you must consider while designing your business processes (Logic Apps): How to send a well-formatted custom HTML Email.

Modern enterprise IT infrastructures are complex beasts. They grow and morph organically over time and have likely undergone one, if not more, significant point-in-time transformations.

Are you tired of dealing with slow network performance, dropped connections, and frustrated users? If so, you're not alone. These issues can be a major headache for IT professionals, but there are solutions for Fortigate SD-WAN Network Monitor. In this blog post, we'll show you how to become a hero by implementing Fortigate SD-WAN Network Monitor solutions and saving the day.

From time to time throughout my career, I have been involved in projects with dramatic releases when we built and delivered something very new and very special. The release of InfluxDB Cloud, powered by IOx (referred to as “InfluxDB IOx” for short below) absolutely meets those criteria. I want to explain my personal views of why this release is so impactful and why I am so excited to be part of it.

Time-varying entities may contain multiple time-varying and static attributes, making mapping them a particular challenge. Time is notorious in modeling tasks. Indeed, the temporal aspect exacerbates the complexity of the modeling task, making simple diagrams look pretty complex. The temporal dimension becomes particularly nasty when it takes part in identifying entities. The figure on the right visualizes the typical database example.

135,000 is the average number of endpoint devices connected to an enterprise network. The estimate is in a joint report from Adaptiva and the Ponemon Institute, along with several other surprising statistics: A common challenge facing IT professionals is gaining insight into the devices connected to their network. With so many devices being used by employees, managers and IT workers, a solution to categorize and analyze these devices in one spot is essential.

Interoperability — it’s one of the main reasons I joined Grafana Labs. Our “big tent” philosophy helps Grafana work with a wide range of data sources and tools, and it’s why you can use Grafana to address endless use cases and problems. We are best known for the seamless way we correlate metrics, logs, and traces to understand what is happening in the environment, resolve the immediate issue, and address any underlying issues so that it does not happen again.

When you’re just getting started with observability, a proof of concept (POC) can be exactly what you need to see the positive impact of this shift right away. Coveo, an intelligent search platform that uses AI to personalize customer interactions, used a successful POC to jumpstart its Honeycomb observability journey—which has grown to include 10,000+ machine learning models in production at any one time. Wondering how Coveo got there? So were we.