Elastic announced the launch of a new alerting framework delivered across the Elastic Stack to provide first-class experiences with tailored interfaces that allow users to create powerful alerts in the normal flow of their daily tasks.
The new alerting framework is delivered via Kibana across the Elastic Stack and available within the SIEM, Uptime, APM, and Metrics applications. From monitoring application transactions to tracking brute force login attempts, users are enabled with embedded alerting functionality and easily configured integrations with email platforms, and providers including PagerDuty, ServiceNow, and Slack.
Embedding native alerting within the Elastic Stack delivers on the company’s vision for creating a single, intuitive user experience with integrated workflows that are tailored to a user’s context and use case, and includes predefined detection and action mechanisms.
"Alerting is a critical capability for anyone with time series data, but it’s especially critical for Observability and Security," said Steve Kearns, VP, Product Management, Elastic. "That's why we designed our new alerting framework from the ground up to make it easy to build alerting UIs anywhere in Kibana, allowing us to bring intuitive workflows to where the operations and security practitioners need them. With integrations into key third-party systems, from PagerDuty to Slack, it's never been easier to keep an eye on data from a distance."
The new alerting framework is being introduced as a beta in the 7.7 release of Kibana and is available immediately.
Elastic also announced major updates across the Elastic solution portfolio with dozens of advances to bring efficiency, flexibility, and integrated workflows to teams of every size and across every use case.
In addition to the alerting, Elastic Observability updates include:
- Provides a graphical view of the dependencies between the services powering an application.
- Presents real-time view of live data and system dependencies to speed the troubleshooting of issues in today’s distributed and cloud-native environments.
- Offers an aggregate view of how services interact, along with key summary information about each component, allowing teams to toggle between a 50,000-foot view and a granular view with ease.
- Adds new, out-of-the-box integrations to collect logs and metrics from many common data sources across the infrastructure ecosystem and simplifies instrumentation across all layers of the technology stack.
- Ensures teams can quickly gather the context they need from a system to investigate and debug new and complex problems within their infrastructure.
- Key integrations include:
AWS Lambda, Virtual Private Cloud, Amazon Aurora, DynamoDB
Azure Database accounts, Kubernetes, and container metrics
Google Cloud Platform Pub/Sub and Load Balancing
Pivotal Cloud Foundry
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