This week at the Microsoft Ignite, we unveiled two new Sumo Logic applications for Microsoft Azure services — Azure SQL Database and Azure Active Directory — and two new native integrations with Azure Monitor and Blob Storage. As a cloud-native company, our goal at Sumo Logic is to give our customers the flexibility to create digital IT and DevOps initiatives that leverage multi-cloud deployments in Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure.

We currently integrate with a wide range of notification systems and applications to which we can send through our Up or Down alerts based on the health and status of your website on StatusCake. Sometimes though, it’s great to have these alerts coming through to a system that’s not classically used for notifications. Today we’ll take a look at how you can have your downtime alerts sent to the Zendesk Customer Service Software & Support Ticket System.

ITOA becomes very manageable and simple with XpoLog log management tool. This post will focus on methods the team here at XpoLog uses to manage unstructured IT log data and visualization using smart tagging techniques.

Brendan Gregg’s USE (Utilization, Saturation, Errors) method for monitoring is quite known. There are even some monitoring dashboard templates shared on the Internet. There’s also Tom Wilkie’s RED (Rate, Errors, Durations) method, which is suggested to be better suited to monitor microservices than USE. We, at okmeter.io, recently updated our PgBouncer monitoring plugin and while doing that we’ve tried to comb everything and we used USE and RED as frameworks to do so.

Your private network is teeming with web services (APIs), intranet, business applications like CRMs and ERPs, acceptance and preproduction environments, databases, and other servers. Your business relies on your network infrastructure to function every day. Each part of that infrastructure needs to be available, performing, and functioning well to keep your business humming along.

In an ideal world, your DevOps toolchain would be highly automated for incident management and allow your teams to resolve issues at DevOps speed. An alert triggered by monitoring tools like Datadog or AWS Cloudwatch would notify on-call engineers, kick your collaboration tools into gear (ChatOps, StatusPage, etc), and automatically document the issue in ITSM and ticketing tools.