Azure Log Analytics workspace upgrades are in progress
2017년 10월 16일 월요일
Azure Log Analytics is progressing with the workspace upgrades by regions and we would like to update you and let you to take the necessary actions, if needed.
2017년 10월 16일 월요일
Azure Log Analytics is progressing with the workspace upgrades by regions and we would like to update you and let you to take the necessary actions, if needed.
2017년 10월 11일 수요일
Today, we are excited to announce the new IT Service Management (ITSM) Action in Azure Action Groups. As you might know, Action Groups is a reusable notification grouping for Azure alerts. Users can…
2017년 9월 28일 목요일
Operating Big Data applications successfully at scale is key consideration for our enterprise customers. Typical Big Data applications span across multiple different technologies as well as…
2017년 9월 27일 수요일
This post reviews some of the cool new features supported by the new Azure Log Analytics query language. To learn more on the query language check out the tutorials on our language site and our Log Analytics community space.
2017년 9월 27일 수요일
We’re excited to introduce cross-resources querying – the ability to query not only the current workspace or application, but analyze data from other resources as well, in a single query.
2017년 9월 18일 월요일
Mark your calendars and join our first AMA session - September 21st, 9-10am PST.
2017년 8월 23일 수요일
Docker container is an emerging technology to help developers and devops with easy provisioning and continuous delivery in modern infrastructure. As containers can be ubiquitous in an environment, monitoring is essential. We've developed a monitoring solution which provides deep insights into containers supporting Kubernetes, Docker Swarm, Mesos DC/OS, and Service Fabric container orchestrators on multiple OS platforms. We are excited to announce the general availability for the Container Monitoring management solution on Azure Log Analytics, available in the Azure Marketplace today.
2016년 9월 22일 목요일
Learn how migrating from ELK to Azure Log Analytics can lower operation costs by more than ninety percent.