Operations | Monitoring | ITSM | DevOps | Cloud

CentOS EOL - Are you affected? CentOS used to be community driven. Imagine an OS being tested by a global community of volunteers against a testing team in a company—that gave CentOS unmatched stability. An OS that came with Securuty-Enhanced Linux (SELinux) by default and also included 10-year support meant it was the favorite of both individual developers and enterprises as well (even Facebook, now known as Meta, used CentOS for its data centers).

Notifications are designed to be annoying. Think of your phone buzzing in a quiet room: it demands your attention, lighting up your screen and making noise so you look at it. A notification is supposed to pull you away from whatever you’re working on. They can be useful, but they can also be a nuisance.

Why make a migration from Ansible to Puppet — or in some cases, start with Puppet over Ansible right out of the gate? In this blog, we’ll explore some common reasons that organizations say they chose Puppet over Ansible, citing specific use case examples around the functionality of each platform.

Monitoring Redis instances is essential for maintaining performance, reliability, and security. It allows you to detect issues early, optimize resources, and provide a seamless experience for both developers and end-users. Monitoring your database allows you to track key performance metrics such as memory usage, CPU usage, and query response times. By analyzing these metrics, you can identify performance bottlenecks, optimize queries, and ensure that Redis is operating efficiently.

Microservices are fantastic for agility and innovation, but the trade-off is complex service management and ownership. With hundreds of interconnected services, troubleshooting and Incident Response can become a potential blocker. The traditional siloed approach to service ownership and the increasing deployment makes service management more complex.

Modern applications are rarely created entirely from scratch. Instead, they rely on a framework of pre-existing applications and services, each adding specific features and functionality. These dependencies empower teams to build and deploy applications more efficiently, but they bring their own set of challenges. Tracking, managing, and updating these dependencies is difficult, especially in large, complex applications where dependencies are likely managed by different teams.

Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features? In this episode, you'll hear from Rob and Isaac, both Product Engineers who played a really critical role in the building out of related incidents, to get a peek behind the curtain.

Datadog Database Monitoring (DBM), which provides host-level and query performance metrics and insights for PostgreSQL, MySQL, and SQL Server, is now available for Oracle. Oracle is one of the most common database types, and now teams that operate Oracle databases can use Datadog to monitor these resources alongside telemetry from across their environments.

Azure VM Autoscaling is a feature provided by Microsoft Azure that allows to automatically adjust the number of Virtual Machines (VMs) in a specific scale set based on predefined criteria such as load, performance metrics, or a schedule. This post delves into the significance of autoscaling within Azure VMs, spotlighting its role in cost optimization, performance enhancement, and improved availability.