Operations | Monitoring | ITSM | DevOps | Cloud

Strategic roadmap to ensure Exchange security

With the quantum leap in the adoption of remote work environments, cybercriminals are turning their attention on the security vulnerabilities in these environments. On top of this, protecting remote connections is becoming increasingly difficult because hacking techniques have become more sophisticated. At ManageEngine, we’ve designed a seven-step strategy to help ensure holistic Exchange security: Detect attacks before they cause damage.

Create powerful data visualizations with the new Datadog dashboards experience

Dashboards are a crucial tool in your monitoring arsenal, as they allow you to visualize and correlate telemetry data from across your stack in a single place. Historically, Datadog offered two dashboard types: Screenboards, for pixel-level control on a canvas, and Timeboards, for troubleshooting a specific point in time. Now, we’re excited to introduce a new dashboard layout that combines the best of Timeboards and Screenboards in a single, seamless editing experience.

How to debug Kubernetes Pending pods and scheduling failures

When Kubernetes launches and schedules workloads in your cluster, such as during an update or scaling event, you can expect to see short-lived spikes in the number of Pending pods. As long as your cluster has sufficient resources, Pending pods usually transition to Running status on their own as the Kubernetes scheduler assigns them to suitable nodes. However, in some scenarios, Pending pods will fail to get scheduled until you fix the underlying problem.

Use Datadog's Notebooks API to programmatically manage your notebooks

Datadog Notebooks simplify the way teams across an organization find and share knowledge. By bringing together live data and rich Markdown text, Notebooks help teams create powerful, data-driven documents—from runbooks and support playbooks to incident postmortems and data reports. And with collaboration functionalities like real-time editing and commenting, team members can simultaneously make changes to a document and gather feedback along the way.

What are Server Monitoring Best Practices?

Server Monitoring is referred to as consistent monitoring of all network infrastructure, related to servers to analyses their resource utilization trends & later optimize it for a smooth end-user experience. The concept of server monitoring is straight forward, it is the collection of data from servers & real time or historical data analysis to make sure that the network servers are free from impending issues are performing optimally thereby fulfilling their intended function.

Launching Uptime Monitoring In AppSignal

AppSignal is your one-stop shop for application monitoring. Today, we’re releasing uptime monitoring. Simply add any endpoint you want to check for uptime and AppSignal will monitor it from locations around the globe, 24/7. Uptime monitoring expands our current feature set (error tracking, performance monitoring, metric dashboards, server metrics, and anomaly detection). All features are combined in a beautiful and easy-to-use interface, with a friendly pricing model for developers.

Top 10 metrics in PostgreSQL monitoring with Prometheus

PostgreSQL monitoring with Prometheus is an easy thing to do thanks to the PostgreSQL Exporter. PostgreSQL is an open-source relational database with a powerful community behind it. It’s very popular due to its strong stability and powerful data types. In this article, you’ll learn the top 10 metrics in PostgreSQL monitoring, with alert examples, both for PostgreSQL instances in Kubernetes and AWS RDS PostgreSQL instances.

What's new in the updated Strava plugin for Grafana

Grafana dashboards are often used to monitor a company’s metrics, but what about using them to monitor yourself? That was the thinking behind our creation of the Strava plugin back in early 2020. Strava is a service that allows athletes to track and analyze their workouts and training sessions. It’s widely used for activities such as running and cycling.

Great Moments in Application Monitoring

The consequences of poor application performance are both real and terrifying: lost customers, lost trust from your team, and lost confidence in your abilities. It’s why every developer remembers those moments where their solution improves both process and performance. We’ve seen this happen firsthand with our customers, and want to share their Great Moments in Application Monitoring.