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Logz.io Releases Alert Recommendations

Logz.io announced the general availability (GA) of its new Alert Recommendations capability in the Logz.io Open 360™ platform.

Based on patent-pending technology, the Alert Recommendations feature automates knowledge creation for organizations by capturing the investigative approach of highly trained engineers receiving alerts. Alert Recommendations specifically employs AI to model the steps of platform users as they carry out their work, using that input to recommend alert response steps during subsequent investigations. Based on a supervised machine learning model, this new capability is now available to Logz.io Open 360 users in GA after building significant intelligence from customers in early access.

With Alert Recommendations, the runbook concept is being adapted to address the dynamic nature of today’s environments, creating automation using supervised machine learning. Now, every time there is a new investigation, Logz.io Open 360 automatically monitors the investigative path of different team members and identifies which steps resulted in the fastest time to resolution. The methods with the best Mean Time to Recovery (MTTR) results are identified, and an automated path is then created for subsequent alerts, eliminating the need for laborious documentation or inefficient actions.

With engineering teams that vary in their degree of expertise, Alert Recommendations also creates a critical knowledge base and automated path that eliminates multiple steps, condensing the timeframe from when the alert is first received to the first investigative action. Valuable engineering resources are optimized while MTTR is reduced.

“The Alert Recommendations capability represents the future of AIOps, making it possible for users and platforms to automate even more of the work that currently consumes so much time and so many resources,” said Asaf Yigal, CTO and co-founder of Logz.io. “Organizations with limited human resources need efficient and reliable tools to translate their observability data into simpler, more actionable insights. With this capability, the Logz.io Open 360 platform harnesses the actions of highly skilled engineers while reducing remediation time.”

Open 360™ is Logz.io’s observability platform which unifies log, metric and trace analytics. It provides a 360 degree view of production health and performance, and it’s built around the leading open source observability technologies including OpenSearch, OpenTelemetry, Prometheus and Jaeger. Logz.io enhances these technologies to make them easier to use, to reduce the total cost of ownership of observability, and to reduce MTTR.

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Logz.io Releases Alert Recommendations

Logz.io announced the general availability (GA) of its new Alert Recommendations capability in the Logz.io Open 360™ platform.

Based on patent-pending technology, the Alert Recommendations feature automates knowledge creation for organizations by capturing the investigative approach of highly trained engineers receiving alerts. Alert Recommendations specifically employs AI to model the steps of platform users as they carry out their work, using that input to recommend alert response steps during subsequent investigations. Based on a supervised machine learning model, this new capability is now available to Logz.io Open 360 users in GA after building significant intelligence from customers in early access.

With Alert Recommendations, the runbook concept is being adapted to address the dynamic nature of today’s environments, creating automation using supervised machine learning. Now, every time there is a new investigation, Logz.io Open 360 automatically monitors the investigative path of different team members and identifies which steps resulted in the fastest time to resolution. The methods with the best Mean Time to Recovery (MTTR) results are identified, and an automated path is then created for subsequent alerts, eliminating the need for laborious documentation or inefficient actions.

With engineering teams that vary in their degree of expertise, Alert Recommendations also creates a critical knowledge base and automated path that eliminates multiple steps, condensing the timeframe from when the alert is first received to the first investigative action. Valuable engineering resources are optimized while MTTR is reduced.

“The Alert Recommendations capability represents the future of AIOps, making it possible for users and platforms to automate even more of the work that currently consumes so much time and so many resources,” said Asaf Yigal, CTO and co-founder of Logz.io. “Organizations with limited human resources need efficient and reliable tools to translate their observability data into simpler, more actionable insights. With this capability, the Logz.io Open 360 platform harnesses the actions of highly skilled engineers while reducing remediation time.”

Open 360™ is Logz.io’s observability platform which unifies log, metric and trace analytics. It provides a 360 degree view of production health and performance, and it’s built around the leading open source observability technologies including OpenSearch, OpenTelemetry, Prometheus and Jaeger. Logz.io enhances these technologies to make them easier to use, to reduce the total cost of ownership of observability, and to reduce MTTR.

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An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

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Azul

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 ...

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