It’s a question we often hear. After all, they’re similar and related services. Azure Monitor helps you understand how your applications are performing and proactively identifies issues affecting them and the resources they depend on.
Prometheus is a popular open source metric monitoring solution and is a part of Cloud Native Compute Foundation. Many customers like the extensive metrics which Prometheus provides on Kubernetes.
The action rules feature for Azure Monitor, available in preview, allows you to define actions for your alerts at scale, and allows you to suppress alerts for scenarios such as maintenance windows.
As the U.S. healthcare system continues to transition away from paper to more a digitized ecosystem, the ability to link all of an individual’s medical data together correctly becomes increasingly challenging.
News and updates from Azure Bastion, Azure Cognitive Services, Power Platform, and more.
In October 2018 we announced the public preview of Azure Monitor for VMs. At that time, we included support for monitoring your virtual machine scale sets from the at scale view under Azure Monitor.
Last month, Microsoft released Azure Blockchain Service making it easy for anyone to quickly setup and manage a blockchain network and providing a foundation for developers to build a new class of multi-party blockchain applications in the cloud.
Learn how to monitor performance and resource utilization on Azure HDInsight by keeping tabs on metrics, such as CPU, memory, and network usage, to better understand how your cluster is handling your workloads and whether you have enough resources to complete the task at hand.
Logs are critical for many scenarios in the modern digital world. They are used in tandem with metrics for observability, monitoring, troubleshooting, usage and service level analytics, auditing, security, and much more.
At Microsoft Build 2019 we announced MLOps capabilities in Azure Machine Learning service. MLOps, also known as DevOps for machine learning, is the practice of collaboration and communication between data scientists and DevOps professionals to help manage the production of the machine learning (ML) lifecycle.
Carry out safe and reliable deployments to ensure high availability and dramatically reduce service downtime caused by regressions with healthCheck in Azure Deployment Manager.
At Ignite 2018, we shared the vision to bring monitoring infrastructure, applications, and the network into one unified offering, providing full stack monitoring for your applications.
