Azure service incidents may impact customer resources and it is critical customers are equipped to mitigate the potential harm by following the guidelines provided by Azure.Read More
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Many organizations need to track their Azure costs at various levels of granularity. Popular use cases cover chargebacks to internal departments, tracking of costs by customer, specific application, etc.
Azure VM Scale Sets allows users to configure a set of ubiquitous VMs in the Azure cloud that share configuration and are treated as a single unit from the logical perspective, e.g.
PagerDuty is a popular tool for alerting, on-call scheduling, managing escalation policies and incident tracking created to help increase uptime of apps, servers, websites and databases.
Netreo provides a direct API integration to PagerDuty.
Azure SQL Database, also known as SQL Azure, is Microsoft’s database-as-a-service offering available on the Azure platform. It provides managed SQL database capabilities to applications running in the Azure cloud.
Generic checks like pinging website hosted by the Web App or monitoring response times are basic methods to ensure Azure Web Apps are operating correctly.
Many organizations need to track costs of their Azure resources and ensure they don’t exceed a certain budget. However, as the number of systems and individual resources grows, it may be really difficult to achieve.
Zabbix and Nagios XI are popular enterprise-level solutions for monitoring large numbers of applications, servers, VMs, and network devices in real-time. However, at this time, they lack native Azure monitoring capabilities.
IT Organizations that need to maintain and monitor multiple environments (i.e. Production, Dev, QA, Staging, etc.) for systems that they develop, can use Netreo’s Accounts feature to effectively organize and separate their environments.
Azure VM Scale Sets is a service that provides a set of load-balanced VMs in the Azure cloud. All VMs in a set are created using a single configuration definition and are treated as a single logical unit.