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).
The Latest
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...