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Elastic Stack 6.7 Release Includes New Uptime and Functionbeat Solutions

Elastic, the company behind Elasticsearch and the Elastic Stack, announced the general availability of the Uptime solution, a new way to monitor system and service uptime and response time.

Part of the Elastic Stack 6.7 release, the Elastic Uptime solution enables users to detect when application services are down or responding slowly and proactively notifies users about problems, even before those services are called by the application. The Elastic Uptime solution is immediately available and can be accessed by either downloading the Elastic Stack or within Elasticsearch Service in Elastic Cloud.

"Today's organizations must be able to react to issues within their applications and systems before they affect end users and disrupt downstream systems," said Shay Banon, founder and CEO of Elastic. "For organizations already sending logs, metrics, and APM data to Elasticsearch, the Elastic Uptime solution is another facet of observability, making it even simpler to connect the dots, correlate activity, and solve problems quickly."

Elastic's Uptime solution monitors systems, services, and APIs by focusing on and verifying that these services are available and returning the correct response codes and content. Based on Heartbeat, a lightweight data shipper for uptime monitoring, Elastic Uptime is transparent, flexible, and developer-friendly and it can be deployed both inside and outside an organization's network. By continuously asking the inevitable question "Is X down?," the Uptime solution supports host availability, service monitoring, website monitoring, and API monitoring, giving IT and operations teams more control of the things that they need to monitor. This enables them to detect issues before they occur and troubleshoot problems faster.

The Uptime solution is part of Elastic's expanded efforts to provide more observability features to help organizations and their users better manage their logs, metrics, and APM data. Uptime is open source and can be used with Elastic's proprietary features like alerting to provide proactive notifications and machine learning for anomaly detection.

Elastic Stack 6.7 also marks the general availability of two applications in Kibana that make working with log and metrics data more effective for operational analysts. The Logs application is an advanced log viewer with live tail, even on filtered data. The Infrastructure application provides a 10,000-foot view of physical, virtual, or container-based infrastructure, and allows users to drill into the details of any host, pod, or container.

Functionbeat, another feature that fits into the observability effort, is also generally available in version 6.7, further improving support for collection of logs and events from serverless applications. Functionbeat monitors cloud-based serverless infrastructure like AWS Lambda by collecting data from sources such as CloudWatch Logs, Kinesis, and Simple Queue Service (SQS).

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Elastic Stack 6.7 Release Includes New Uptime and Functionbeat Solutions

Elastic, the company behind Elasticsearch and the Elastic Stack, announced the general availability of the Uptime solution, a new way to monitor system and service uptime and response time.

Part of the Elastic Stack 6.7 release, the Elastic Uptime solution enables users to detect when application services are down or responding slowly and proactively notifies users about problems, even before those services are called by the application. The Elastic Uptime solution is immediately available and can be accessed by either downloading the Elastic Stack or within Elasticsearch Service in Elastic Cloud.

"Today's organizations must be able to react to issues within their applications and systems before they affect end users and disrupt downstream systems," said Shay Banon, founder and CEO of Elastic. "For organizations already sending logs, metrics, and APM data to Elasticsearch, the Elastic Uptime solution is another facet of observability, making it even simpler to connect the dots, correlate activity, and solve problems quickly."

Elastic's Uptime solution monitors systems, services, and APIs by focusing on and verifying that these services are available and returning the correct response codes and content. Based on Heartbeat, a lightweight data shipper for uptime monitoring, Elastic Uptime is transparent, flexible, and developer-friendly and it can be deployed both inside and outside an organization's network. By continuously asking the inevitable question "Is X down?," the Uptime solution supports host availability, service monitoring, website monitoring, and API monitoring, giving IT and operations teams more control of the things that they need to monitor. This enables them to detect issues before they occur and troubleshoot problems faster.

The Uptime solution is part of Elastic's expanded efforts to provide more observability features to help organizations and their users better manage their logs, metrics, and APM data. Uptime is open source and can be used with Elastic's proprietary features like alerting to provide proactive notifications and machine learning for anomaly detection.

Elastic Stack 6.7 also marks the general availability of two applications in Kibana that make working with log and metrics data more effective for operational analysts. The Logs application is an advanced log viewer with live tail, even on filtered data. The Infrastructure application provides a 10,000-foot view of physical, virtual, or container-based infrastructure, and allows users to drill into the details of any host, pod, or container.

Functionbeat, another feature that fits into the observability effort, is also generally available in version 6.7, further improving support for collection of logs and events from serverless applications. Functionbeat monitors cloud-based serverless infrastructure like AWS Lambda by collecting data from sources such as CloudWatch Logs, Kinesis, and Simple Queue Service (SQS).

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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 ...

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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 ...