Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

When it comes to mobile device management versus modern device management, they may sound similar, but there’s a significant degree of difference between them. The explosive growth in these devices within enterprises makes it crucial for organizations to choose the right platform for overseeing them.

AWS Lambda can be an easy-to-implement solution for those looking for serverless application deployments and operations. However, how can you be sure that you are getting the most for your money when it comes to utilizing this service? This guide will explain some of the tools and resources at your disposal — whether you’re utilizing the AWS console, trying to optimize your code and design, or a combination of the two.

In a world where efficiency and precision are the cornerstones of progress, automation has become the unsung hero across diverse industries. From manufacturing floors to customer service, its transformative power has reshaped the way we work and deliver services. Today, we embark on a journey to explore the profound influence of automation on healthcare, where each automated process is a progressive step towards optimizing care delivery and reshaping the future of patient-centered care delivery.

Incidents put systems and organizations to the test. They pose particular challenges at scale: in complex distributed environments overseen by many different teams, managing incidents requires extensive structure and planning. But incidents, by definition, break structures and foil plans. As a result, they demand carefully orchestrated yet highly flexible forms of response. This post will provide a look into how we manage incidents at Datadog. We’ll cover our entire process.

Starting around June this year, we upgraded our Grafana databases in Grafana Cloud from MySQL 5.7 to MySQL 8, due to MySQL 5.7 reaching end-of-life in October. This project involved tens of thousands of customer databases across dozens of MySQL database servers, multiple cloud providers, and many Kubernetes clusters.

Welcome to our 2nd blog in our series on how to securely consume Open Source Software (OSS). Attacks targeting OSS are on the rise, making the security of your software supply chain a top priority. The 1st blog gave an overview of some of the most common types of attacks. Today we’ll explore the Secure Supply Chain Consumption Framework (S2C2F) that can help you mitigate against these attacks.

A data platform is a comprehensive end-to-end solution for all your data. A true data platform can ingest, process, analyze and present data generated by all the systems and infrastructures within your organization. In this topic, there’s a lot of things to understand and consider. So, let’s take a deep look at data platforms, including the definition and related terms, the benefits and use cases, and how to start building your data strategy.

In this conversation, Sanjay Shrestha, Principal Detection Engineer at Bayer, and Raanan Dagan, Principal Sales Engineer from Cribl, talk about the integration of Git in Cribl Stream. They discuss how to manage configuration files and pipelines as code, simplifying their deployment. They also share a demo and give best practices for optimizing your GitOps workflow. In the 10+ years that Bayer has worked with Splunk, they’ve gone from processing just 80 GB/day to more than 13 TB/day.