In today's ever-changing digital development landscape organizations face the challenge of delivering high-quality software quickly and efficiently. Developing and producing new products and updates is a compelling but fundamental part of any technology business. But ensuring the process runs smoothly to make certain that your release reaches your customers as expected can be challenging. This is where release management tools come in.

Boomi is a cloud-based integration platform that helps customers connect their applications, data sources, and other endpoints. But monitoring and troubleshooting Boomi Atoms—the runtime engines for Boomi integration processes—and the applications connected to them can be a challenge. Boomi automatically purges logs after 30 days, and users must frequently correlate data from various disconnected sources for visibility into their Boomi processes.

We’re thrilled to spotlight a notable addition to our MetrixInsight for VAD/DaaS suite: the SCOM MP crafted specifically for Citrix Federated Authentication Service(FAS). The suite seamlessly integrates the entire Citrix® infrastructure into SCOM, encompassing Citrix Virtual Apps and Desktops, Citrix DaaS, Citrix License Server, Citrix Provisioning Services, Citrix StoreFront, NetScaler ADC and now Citrix FAS.

The challenge for every organization is gathering actionable observability information from all your systems, in a timely manner, without creating a substantial operational burden for the teams managing the collection tooling. While each observability solution has its unique benefits and challenges, the one common burden expressed by teams is the management of the metadata of the metrics, traces, and logs.

Today we’re announcing the general availability of Icinga DB Web v1.1.0. You can find all issues related to this release on our Roadmap. Please make sure to also check the respective upgrading section in the documentation.

Amazon SageMaker is a fully managed service that enables data scientists and engineers to easily build, train, and deploy machine learning (ML) models. Whether you are integrating a personalized recommendation system into your video streaming application, creating a customer service chatbot, or building a predictive business analytics model, Amazon SageMaker’s robust feature set can simplify your ML workflows.

Syslog is a standard for sending and receiving notification messages–in a particular format–from various network devices. The messages include time stamps, event messages, severity, host IP addresses, diagnostics and more. In terms of its built-in severity level, it can communicate a range between level 0, an Emergency, level 5, a Warning, System Unstable, critical and level 6 and 7 which are Informational and Debugging. Moreover, Syslog is open-ended.