Operations | Monitoring | ITSM | DevOps | Cloud

Make the most of your ITSM platform for Knowledge Management in 3 easy steps

For many organizations, knowledge management is often considered a technology problem. This is why when they implement knowledge management, the execution is often rendered unsuccessful because the processes and the kind of articles that are created are too complicated for people to use. ITIL knowledge management is defined as the process of capturing, processing, storing, and sharing knowledge across the enterprise.

Leveraging behavior analytics and machine learning algorithms in your PAM strategy

Modern technologies like machine learning (ML) algorithms can introduce a forward-thinking outlook to privileged access management (PAM) and enable enterprises to predict emerging access risks in real time. ML-based anomaly detection systems can deeply analyze raw data collected around privileged activity, profile standard user behavior patterns, and then surveil future operations to detect any deviations from the norm, such as server logins after office hours.

Announcing the ServiceNow Service Graph Connector for LogicMonitor

We are pleased to announce another integration with one of our strategic partners, ServiceNow. Available today with the launch of ServiceNow’s Paris release, LogicMonitor supports the Service Graph Connector! LogicMonitor was selected by ServiceNow as a key player and one of the first monitoring platforms invited to this new, exclusive program.

Manage AppArmor profiles in Kubernetes with kube-apparmor-manager

Discover how Kube-apparmor-manager can help you manage AppArmor profiles on Kubernetes to reduce the attack surface of your cluster. AppArmor is a Linux kernel security module that supplements the standard Linux user and group-based permissions to confine programs to a limited set of resources. AppArmor can be configured for any application to reduce its potential attack surface and provide greater in-depth defense.

Netdata named to the Forbes Cloud 100 Rising Stars

We’re excited to announce that we’ve been named to the Forbes 2020 Cloud 100 Rising Stars. This is a list of the top 100 private cloud companies in the world, published by Forbes in partnership with Bessemer Venture Partners and Salesforce Ventures. The 20 Rising Stars represent young, high-growth and category-leading cloud companies who are poised to join the Cloud 100 ranks.

Netdata Agent v1.25 and Cloud enhancements

The v1.25.0 release of the Netdata Agent delivers on our commitment to make our metrics collection, visualization, and troubleshooting platform more stable and usable. We enhanced our recently-added Prometheus collector with user-configurable filtering and grouping, made dramatic improvements to the reliability of the Agent-Cloud link that streams metrics on-demand to your browser when you use Netdata Cloud, and more. Let’s jump in and look at each improvement.

Netdata versus Datadog: root cause analysis with metric correlations

When an incident strikes, and every minute spent on root cause analysis delays the time to resolution, the real-world consequences can be dire. Troubleshooting an event requires a certain data set: every metric, at the greatest granularity, in one place, available in real time. Limits on the number or type of metrics, collection frequency, or time to visualization can mean the difference between timely resolution and unacceptable losses in time, money, and productivity.

Introducing our first Netdata Cloud Insights feature: Metric Correlations for faster root cause analysis

Today, we are excited to launch our first Netdata Cloud Insights feature, Metric Correlations, developed for discovering underlying issues more quickly and identifying the root cause more efficiently. Read on to learn more about our approach to developing this new feature, how it works, and the many benefits you’ll find incorporating this into your team’s troubleshooting workflow.