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.
The Latest
DDI technology has become more challenging in recent years with the rise of hybrid and multi-cloud architectures, according to a new report, DDI Directions: DNS, DHCP, and IP Address Management Strategies for the Multi-Cloud Era, from Enterprise Management Associates ...
Navigating observability pricing models can be compared to solving a perplexing puzzle which includes financial variables and contractual intricacies. Predicting all potential costs in advance becomes an elusive endeavor, exemplified by a recent eye-popping $65 million observability bill ...
Generative AI may be a great tool for the enterprise to help drive further innovation and meaningful work, but it also runs the risk of generating massive amounts of spam that will counteract its intended benefits. From increased AI spam bots to data maintenance due to large volumes of outputs, enterprise AI applications can create a cascade of issues that end up detracting from productivity gains ...
A long-running study of DevOps practices ... suggests that any historical gains in MTTR reduction have now plateaued. For years now, the time it takes to restore services has stayed about the same: less than a day for high performers but up to a week for middle-tier teams and up to a month for laggards. The fact that progress is flat despite big investments in people, tools and automation is a cause for concern ...
Companies implementing observability benefit from increased operational efficiency, faster innovation, and better business outcomes overall, according to 2023 IT Trends Report: Lessons From Observability Leaders, a report from SolarWinds ...
IT leaders are driving an increasing number of automation initiatives as a way to stay competitive, reduce costs and scale as they navigate an unpredictable social and economic environment, according to the 2023 State of Automation in IT survey conducted by Jitterbit ...
Customer loyalty is changing as retailers get increasingly competitive. More than 75% of consumers say they would end business with a company after a single bad customer experience. This means that just one price discrepancy, inventory mishap or checkout issue in a physical or digital store, could have customers running out to the next store that can provide them with better service. Retailers must be able to predict business outages in advance, and act proactively before an incident occurs, impacting customer experience ...
Earlier this year, New Relic conducted a study on observability ... The 2023 Observability Forecast reveals observability's impact on the lives of technical professionals and businesses' bottom lines. Here are 10 key takeaways from the forecast ...
