Operations | Monitoring | ITSM | DevOps | Cloud

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.

In today's hyper-connected world where data reigns supreme, businesses need agile, reliable, and cost-effective ways to seamlessly integrate their digital ecosystems. Understanding this critical need, Console Connect and Digital Realty are taking our collaboration to the next level to bring new levels of connectivity and choice to enterprises, carriers, and service providers.

Virtualization involves creating a virtual representation of resources, such as servers, storage, or networks, to efficiently utilize hardware and enhance resource management. This technology has revolutionized IT by enabling the creation of virtual machines (VMs) that operate independently within a shared physical environment.

Modern networking methodologies have evolved significantly, paving the way for innovations like Software-Defined Networking (SDN). Recent trends, such as increased demand for cloud services, data center virtualization, and the growing complexity of networks, have necessitated more dynamic and flexible network solutions. These advancements have set the stage for SDN by highlighting the limitations of traditional, hardware-centric networking.

A stable network is synonymous with operational reliability in an era where digital transactions and communications form the backbone of most operations. Unstable networks can lead to many problems – from lost revenue to damaged reputations. Imagine a retail company experiencing network slowdowns or outages during a high-volume sales period. This could result in significant sales losses and customer dissatisfaction.