Operations | Monitoring | ITSM | DevOps | Cloud

When enterprises run online services, web servers play an essential role. They allow the software to surface on the world wide web and make it accessible through web browsers for customers worldwide. When the performance of a web server gets degraded or, even worst, if a web server is entirely down, it impacts not only the business bottom line but also the brand image for not providing reliable service to customers. Failure to manage web servers can also lead to security risks.

Welcome back! In the previous blog, we discussed what AIOps is and the significant role it plays in ITOps with our panelists: Carlos Casanova, Principal Analyst at Forrester, and Gowrisankar Chinnayan, head of product management at ManageEngine. In this blog, I am going to walk you through the rest of our discussion. Our talk revolved around the reasons why organizations should adopt AIOps.

For Formula 1, speed is about more than just how fast you go around the track. It’s also about having data at your fingertips in real time to make critical improvements before, during, and after the race. “Formula 1 is one of the most fascinating data-driven sports,” said Anshul Sharma, Senior Product Manager at Microsoft. “It’s so competitive that even one tenth-second advantage can change the outcome of the race.”

You’ve made the decision to implement a centralized log management solution because you know that it’s going to save you time and money in the long term. However, to get the most bang for your log management buck, you need to understand how the different parts of your log management deployment work. Once you understand each resource, you can implement a more efficient log management architecture.

Everyday when you come into work, you’re bombarded with a constant stream of problems. From service desk calls to network performance monitoring, you’re busy from the moment you login until the moment you click the “shut down” option on your device. Even more frustrating, your IT environment consists of an ever-expanding set of network segments, applications, devices, users, and databases across on-premises and cloud locations.

If you’re new to InfluxDB you might wonder, “Why does InfluxDB have its own query and scripting language (aka Flux)?” You might also be thinking, “InfluxDB has client libraries. Why and when should I use the Python client library and when should I use Flux?” In this post we’ll discuss when developers should use Flux and when they should use Python for developing their IoT applications.

To a great extent, the value of the Internet of Things (IoT) is realized through the insights (data) generated from sensor data integrated in storage and analytics systems. Consequently, how the data integration is conducted directly impacts the success of IoT projects. For this reason, InfluxData introduced Native Collectors to bypass multiple data hops and enable one-step integration of data from data brokers such as HiveMQ MQTT broker into its InfluxDB Cloud time series database.

When Slack was first launched back in 2013, the idea of using a centralized messaging system hadn’t been around for too long. Why? Organizations and businesses didn’t even know they needed one. Instead, they used different methods and tools to communicate – emails, SMS messaging, Skype for online meetings, etc. How did Slack earn the title of your company’s digital headquarters?

In recent years, there has been a rapid expansion in the API market. Today, every piece of software is either an API or uses one. They are now a crucial component of the modern digital economy. As a result, it is becoming increasingly important to grasp how to examine them carefully. In this article, we'll discuss the definitions of API observability and API monitoring as well as how API observability is better than API monitoring.