Operations | Monitoring | ITSM | DevOps | Cloud

Runtime security in Azure Kubernetes Service

Runtime security for Azure Kubernetes Service (AKS) environments requires putting controls in place to detect unexpected and malicious behavior across your applications, infrastructure, and cloud environment. Runtime threats include things like: Even if you’re taking advantage of tools like container image vulnerability scanning, Kubernetes pod security policies, and Kubernetes network policies with AKS, not every risk will be addressed.

What is Synthetic Monitoring and What Are the Benefits? | Obkio

Many traditional network monitoring solutions use a packet capture method to capture real-user data and monitor network performance. Now, modern network monitoring tools have switched to synthetic monitoring to monitor network performance without collecting user information. What is Synthetic Monitoring? It is a monitoring technique used to monitor application and network performance by simulating user activity.

How the new time series panel brings major performance improvements and new visualization features to Grafana 7.4

In Grafana 7.0, we introduced a new panel architecture to enhance the UX and visualization options and create a more consistent experience across Grafana. In Grafana 7.4, we expanded on that foundation and introduced the next-generation graph panel called Time series panel, which is currently in beta. The Time series panel uses the panel architecture of Grafana 7.0 and integrates with field options, overrides, and transformations.

Using Puppet to detect the SolarWinds Orion compromise

SolarWinds' widely-used Orion IT platform has been the subject of a supply-chain compromise by an unidentified threat actor. The attack was discovered in December 2020, but it appears to have begun in March 2020 when the attacker used trojan malware to open a backdoor on SolarWinds customers around the world.

Dynamically Created Runtime Fields

The video contains a demonstration of the creation of an index template that defines that unknown fields will be created as runtime fields. Documents are then indexed into an index that inherits from that template, and because these documents contain fields that are not defined in the template, the fields are automatically created as runtime fields (i.e. these fields are usable for search and aggregation, but are not indexed). Runtime field is the name given to the implementation of schema on read in Elasticsearch.