Operations | Monitoring | ITSM | DevOps | Cloud

CloudNatix is an infrastructure monitoring and optimization platform for VMs, containers, and other cloud resources. Customers can use CloudNatix’s Autopilot feature to automatically configure and run infrastructure optimization workflows that allocate and run their resources more efficiently. CloudNatix can take action to auto-size Kubernetes and VM workloads, defragment Kubernetes clusters, and create harvest pods from unused VMs, among other key optimizations.

Elastic Observability is the optimal tool to provide visibility into your running web apps. Microsoft Azure Container Apps is a fully managed environment that enables you to run containerized applications on a serverless platform so that your applications scale up and down. This allows you to accomplish the dual objective of serving every customer’s need for availability while meeting your needs to do so as efficiently as possible.

The Microsoft infrastructure makes collecting network traces more complicated. Network traces (tracert) inside and out of the Azure Virtual Desktop virtual machine are valuable when diagnosing support issues or when an end-user calls up complaining of poor Azure Virtual Desktop performance. The following information should help improve the collection of network traces and trace data, which will aid in diagnosing Virtual Desktop Infrastructure connectivity.

We recently had the privilege of presenting our telemetry data pipelining platform at Cloud Field Day. Today, we'd like to share a recap of our demo with you. In this demo, we explore the transformative potential of data profiling, telemetry pipeline optimization, and incident response. Foundationally, we follow an Understand, Optimize, and Respond workflow.

It is now the de facto standard for companies to operate across numerous regions and cloud-accounts. The reasons for this vary, and depending on where you sit in the organization, these reasons may be more or less apparent to you.

Microsoft Azure offers a choice of relational and non-relational database services to support a wide range of application needs and demands. Built-in intelligence helps automate management tasks like high availability, scaling, and query performance tuning to provide users with services that ensure applications are always available and performant. Many services offer essentially limitless database scale and SLAs (Service Level Agreements) usually range between 99.9-99.999% availability.