Operations | Monitoring | ITSM | DevOps | Cloud

Businesses today rely on analytics and insights derived from different data types for gaining competitive advantages. These data often come from different sources and in different formats. Without a unified solution, aggregating those data and performing analytics tasks is challenging. ELT has been invented to solve the complexities associated with processing data from multiple sources while retaining the raw data as it is.

Simply put, customer analytics (or customer data analytics) is the process of using information about customer preferences and behavior to improve sales, marketing and product development. You can think of customer analytics as the type of customer behavior where buyers are doing internet research before making a purchase. There is now a vast amount of information available for nearly every product category online.

Your app’s networking directly affects the user experience of your app. Imagine having to wait a few seconds for the page to load. Or even worse, imagine waiting for a few seconds every time you perform an action. It would be infuriating! Before you go on a fixing adventure, it’s a good idea to understand what causes that waiting time. So let’s do that!

Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It allows you to create and manage clusters of machines, called Kubernetes clusters, to run your applications in a scalable and highly available manner. Kubernetes clusters provide a distributed and scalable platform for running containerized workloads.

AIOps for DevOps. This is a phrase that you’ll hear a lot often in the coming years. Leveraging AIOps is becoming an emerging practice for DevOps. And why not? After all, AIOps offers so many benefits for DevOps, making it a must have for every business. But what exactly are these benefits? To know more, keep reading this blog where we will discuss everything about AIOps for DevOps including its.

We continue our exploration of the fascinating world of Kubernetes, logs, and metrics. In our previous installment, we delved into the intricate tale of Cribl Edge and its role in unraveling the mysteries of logging and metrics in Kubernetes environments with the Cribl Edge native sources for Kubernetes Metrics and Logs. Today, we’re picking up where we left off, shining a spotlight on a new and powerful tool that has the potential to demystify this complex ecosystem further.

A comprehensive guide to relabeling strategies in Prometheus.

The old saying “There’s no substitute for experience” has taken on new meaning in today’s digital environment. According to a ServiceNow/ThoughtLab global survey of 1,000 C-suite executives, adopting a comprehensive experience strategy that encompasses all experiences can help: “Organizations want to deliver seamless experiences to customers and employees.

In today's digital landscape, where everything is moving at breakneck speed, the performance of your applications can either make or break your digital game. We've all been there – the frustration of a slow website or an unresponsive app. That's where Application Performance Monitoring, or APM, swoops in to save the day. APM is like your app's personal fitness trainer, helping you keep it in peak condition.

Google Cloud Platform (GCP) and Microsoft Azure are two of the leading cloud computing platforms, offering a wide range of services for businesses of all sizes. When choosing a cloud platform, it is important to consider factors such as pricing, features, performance, etc. This article will compare different services of GCP with Azure, including pricing models. We will provide a summary of the comparison in the form of a table at the end of the article.