Operations | Monitoring | ITSM | DevOps | Cloud

If you operate any website, there is nothing more frustrating - and annoying - than getting a message that your website is down. There can be many reasons why you are experiencing downtime, but the results are usually the same; lost revenue, customers going to competitors, and either IT staff running about or angry calls to your host or ISP. Every organization wants to avoid downtime when it comes to their website.

Event Hubs is Microsoft’s cloud-native real-time event streaming service. For Event Hubs to work, data must be pushed to or pulled from it. That is where Cribl Stream comes in. Event Hubs is a source and destination inside Cribl Stream and the control for how you route, shape, and transform your data from Event Hubs. But, one does not simply Stream into (or from) Event Hubs. There is a lot that goes into architecting an Event Hubs Source.

Picture the last time you were sitting at your desk trying to make sense out of the multiple cloud provider bills you just received. The amounts all change from month to month, and you can’t really compare them against each other because they all use different formats. To say this is a confusing and frustrating situation to be in is an understatement. Perhaps you’re there now, which is why you’ve searched for advice on multi-cloud cost management.

In the ever-evolving digital landscape, every organization must confront its fair share of incidents. Regardless of the sector or size, one common thread weaves through them all: the need for effective incident management. A crucial part of this management is incident escalation, a topic on which we've had many discussions with various companies.

The incident-io/core application uses a mixture of environment variables, config files and secrets stored in Google Secret Manager to configure the app. This is a reference guide to all the parts that make up this flow.

The Prometheus alerting model is a flexible tool in every observability toolkit. When enhanced with Grafana data sources, you can easily alert on any data, anywhere it might live, using the battle-tested label semantics and alerting state machine that Prometheus defines. Often, engineers want to see patterns in their alerts over time, in order to observe trends, make predictions, and even debug alerts that might be firing too often.

The Microsoft Operations Framework or MOF is a framework that can complement your IT Service Management (ITSM) offerings. It was specifically built to support Microsoft products. Hence, when used efficiently, it improves service quality within your Microsoft environment. Because the MOF has this clearly defined scope within the ITSM landscape, it works really well when combined with other frameworks, such as ITIL or COBIT.

We all know that artifact management is an important part of our development lifecycle, and if you’re using Jenkins you’ll also need to store your builds and binaries. In the world of DevOps, efficient integration and management of artifacts and dependencies are crucial for successful software delivery. Together, Jenkins and JFrog Artifactory offer a powerful combination for streamlined build processes.

We are thrilled to announce that, for the third consecutive year, Datadog has been named a Leader in the 2023 Gartner® Magic Quadrant™ for APM and Observability. We believe that this placement reflects Datadog’s continued commitment to understanding our customers’ most complex challenges and building products and services that give them the visibility they need into their applications.