Operations | Monitoring | ITSM | DevOps | Cloud

Even before the push to the cloud, your company was a Microsoft shop. From workstations to servers, you’ve invested heavily in the Microsoft ecosystem because it gave your business all the technologies necessary for success. As part of your organization’s digital transformation strategy, Azure offered the easiest onboarding experience.

Extracting relevant insights from your performance monitoring tool can be frustrating. You often get back more data than you need, making it difficult to connect that data back to the code you wrote. Sentry’s Performance monitoring product lets you cut through the noise by detecting real problems, then quickly takes you to the exact line of code responsible. The outcome: Less noise, more actionable results.

Selecting the right Internal Developer Platform (IDP) is a critical decision that shapes the effectiveness of your software development team. An IDP empowers developers with the tools and environments necessary for efficient coding, testing, and deployment, resulting in a streamlined development workflow. However, a poor choice can lead to substantial setbacks, reducing productivity and overall business efficiency. In this article, we will discuss the most common mistakes to avoid when selecting an IDP.

Developers are builders by nature (and profession), so many take pride in building their own solutions to problems from first principles, often using tools developed in open-source projects. So as Internal Developer Portals (IDPs) increased in popularity, it should come as no surprise that interest in open source IDPs increased in kind. While we may not yet have a fully opensource IDP platform, in this blog we’ll cover the open source components and platforms used to build IDPs from scratch.

Linux is a powerful operating system that has become a staple in the world of computing. With its open-source nature and versatility, it has gained popularity among individuals and organizations alike. However, as with any operating system, there is a need for robust logging and auditing capabilities. This is where the concept of "Advance Logging and Auditing in Linux" comes into play. In simple terms, logging and auditing are methods of recording and analyzing system activity.

Datadog customers have an abundance of observability data at their fingertips. Using this data effectively requires having the right visualizations and analysis tools. For some teams, the powerful functionality of spreadsheets is critical to their ability to make data-driven forecasting and business decisions. That’s why we are pleased to announce that Actiondesk—a spreadsheet-powered connection to your live data—is joining Datadog.

Aside from being a hub of information, your website should guide customers through the purchase journey. But you can't just have any website. You need a mobile-friendly website. Why? Essentially, a mobile-friendly website makes your business more accessible to potential customers. In this post, you'll learn five reasons your website designer should ensure mobile optimization. But first.

Is your company using ServiceNow IT Operations Management or considering using it? If so, you know the importance of enhancing the visibility of your IT infrastructure and services, protecting against service disruptions, and enhancing your company’s operational flexibility. In this blog, we’ll discuss how ServiceNow ITOM works, improves visibility across the entire IT infrastructure, and streamlines operations. We’ll also discuss how ServiceNow ITOM is better together with AIOps.

The Internet of Medical Things (IoMT), a subset of Internet of Things (IoT) technologies, comprises inter-networked devices and applications used in medical and healthcare information technology applications. IoMT devices connect patients, doctors and medical devices — including hospital equipment, diagnostic gear, and wearable technology — by transmitting information over a secure network.

Simply defined, multicloud (or multi-cloud) describes a computing environment that relies on multiple SaaS or cloud services for different workloads within a single architecture. In a multicloud approach, organizations may use public cloud providers such as Amazon Web Services (AWS) for infrastructure, Microsoft Azure for platform, and Google Cloud Platform for development.