Everbridge vs Grafana Labs

Everbridge Expands Technology Partner Ecosystem with Launch of Everbridge Marketplace

Everbridge announces the launch of Everbridge Marketplace, expanding its technology partner ecosystem.

Everbridge Launches Marketplace for Partner Integrations

Everbridge, a leader in critical event management, announced the launch of the Everbridge Marketplace, a centralized hub for technology partners. The Marketplace allows customers to discover, evaluate, and access third-party solutions that integrate with the Everbridge 360 AI platform. Initial partners include Seerist, Traxo, and Base Operations, offering risk intelligence, travel data, and threat intelligence. The Marketplace aims to simplify access to integrated solutions and create new opportunities for partners. Everbridge plans to expand the Marketplace with more partners and solution categories over time.

• Everbridge launched the Everbridge Marketplace, a centralized hub for technology partners.
• The Marketplace integrates with the Everbridge 360 AI platform.
• Initial partners include Seerist, Traxo, and Base Operations.

New ASIS International Research Sponsored by Everbridge Finds Critical Gaps in Active Assailant Preparedness

Everbridge sponsors new ASIS International research revealing critical gaps in active assailant preparedness, published September 30, 2026.

Tempo 3.1 release: new features for Kafka, TraceQL metrics updates, trace redaction, and more

Grafana Labs blog features a new post on Tempo 3.1 release with new features for Kafka, TraceQL metrics updates, trace redaction, and more.

Observability Stack: Prometheus, Node Exporter, Grafana

A technical how-to explaining the three-piece observability stack: Prometheus (time-series database that scrapes metrics), Node Exporter (exposes OS-level metrics at a /metrics HTTP endpoint), and Grafana (visualizes Prometheus data as dashboards). The article describes the pull-based model Prometheus uses, the role of Node Exporter as a translator of OS stats, how Grafana queries Prometheus, default ports (Prometheus 9090, Node Exporter 9100, Grafana 3000), basic install commands, a sample prometheus.yml with scrape_interval and job_name, and next steps such as adding scrape targets, writing PromQL queries, and adding Alertmanager for notifications.

• Prometheus is a time-series database and monitoring system that scrapes metrics from HTTP endpoints and exposes its own metrics on port 9090.
• Node Exporter exposes hardware and OS-level metrics at a /metrics endpoint (default port 9100) and is typically installed one-per-machine.
• Grafana queries Prometheus (e.g., via PromQL) to render dashboards and runs by default on port 3000; it stores no metrics itself.

Building an Internal Developer Platform on Azure AKS

This technical article explains how to create an Internal Developer Platform (IDP) using Azure Kubernetes Service (AKS). It outlines core components including AKS as the managed Kubernetes backbone, a service mesh (e.g., Istio or Linkerd) for microservice communication, CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) for automated build and deployment, monitoring and logging tools (Azure Monitor, Prometheus, Grafana, Azure Log Analytics), and security/compliance controls (RBAC, Pod Security Policies, Azure Policy, Azure Security Center). The piece describes an example developer workflow from code push to production and summarizes benefits such as increased efficiency, scalability, security, and consistency.

• An Internal Developer Platform (IDP) is a set of tools, processes, and automations that simplifies development, testing, and deployment for developers.
• Azure Kubernetes Service (AKS) is presented as the central managed Kubernetes environment where containerized applications run.
• Service meshes such as Istio or Linkerd are recommended to manage microservice communication, including load balancing, traffic management, and security policies.