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Elastic Announces New Alerting Framework

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:

Service Maps

- 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.

Expanded Integrations

- 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
IBM MQ
Istio
MQTT
Pivotal Cloud Foundry
Prometheus
Redis Enterprise

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Elastic Announces New Alerting Framework

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:

Service Maps

- 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.

Expanded Integrations

- 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
IBM MQ
Istio
MQTT
Pivotal Cloud Foundry
Prometheus
Redis Enterprise

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...