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Logz.io Integrates Generative AI into Open 360 Platform

Logz.io announced expansion of its AI-driven insight into the optimization of cloud applications and infrastructure through integration of generative AI.

By combining the power of a large language model with its existing AI capabilities—including the patented Cognitive Insights system—Logz.io further positions its Open 360TM platform as a modern, full-stack observability solution. Users benefit from the platform’s continued innovation, driven by crowdsourced insights from its global community of engineering and ITOps professionals to reduce mean time to remediation (MTTR).

Through integration of generative AI, the Open 360 platform gains more powerful capabilities to recommend improvement steps for engineering, DevOps and ITOps teams working to optimize their cloud applications and infrastructure. Building on Logz.io’s existing analytics capabilities, the inclusion of generative AI enriches the Open 360 platform’s Cognitive Insights features with a vast array of known solutions to emerging availability, performance, resilience and security issues.

“Business agility drives development agility, which in turn creates operational complexity and significant troubleshooting challenges,” said Logz.io CTO and co-founder Asaf Yigal. “Most companies collect far more data than they can operationally use, and they spend more money on their observability solutions each and every year. Perversely, all this data and money leads to fewer and fewer targeted insights that positively inform decision-making. Logz.io’s use of generative AI within our existing Cognitive Insights capability is a game changer, because it immediately can reduce MTTR, while extracting more value from less data, all at a lower cost.”

Users tapping into the Open 360 automated recommendation engine will now benefit from the vast wealth of related information incorporated by the generative AI model. All of this supports Logz.io’s continued work to accelerate and increase the efficiency of observability for its customers. Unlike proprietary solutions where innovation often yields to commercial interests, Logz.io is fundamentally dedicated to incorporating every available resource that can benefit its users, such as generative AI.

Here’s how Cognitive Insights with generative AI reduces MTTR for ITOps:

- An engineering team pushes new code into production and soon gets an alert. The DevOps engineer tasked with the project engages the Open 360 platform, which surfaces the most relevant issues to focus on. This reduces the need to search through exceptions and wade through a huge volume of logs, tracing and metrics data.

- To accelerate the process of looking through exceptions, Open 360 uses machine learning to identify common patterns in log data, which filters out the noise of, for example, millions of similar logs.

- The platform’s Cognitive Insights capability automatically cross-references log data with crowdsourced data from the Logz.io community to uncover potential issues and provide actionable references from the web. It pieces together human interactions with log data, combining it with related intelligence from available social threads, discussion forums and open source repositories. This automates—and greatly shortens—the formerly manual task of identifying relevant events, enriching them with information about context, severity and relevance, all while also providing known paths to remediation.

- By combining popular open source observability (OpenSearch, Prometheus and Jaeger) with generative AI, Cognitive Insights now helps users cast the widest net in gaining the latest monitoring, analysis, visualization and intelligence. Integrating generative AI with Cognitive Insights enriches crowdsourced data by additional sources of related information, all indexed by the large language model, vastly deepening the system’s intelligence and reducing MTTR from hours to minutes.

Open 360 with Cognitive Insights augmented by generative AI gives engineers the data they need quickly, including links to related information and best practices for resolving the most relevant issues, empowering them to quickly take actions toward resolution in the production environment.

“We moved quickly to launch the first observability platform leveraging the power of generative AI,” said Tomer Levy, CEO and co-founder of Logz.io. “Sure to be imitated by others, what we’ve pioneered will greatly enhance our Cognitive Insights capabilities and help our customers troubleshoot issues even faster, and speed is power in the battle against downtime and vulnerabilities.”

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Logz.io Integrates Generative AI into Open 360 Platform

Logz.io announced expansion of its AI-driven insight into the optimization of cloud applications and infrastructure through integration of generative AI.

By combining the power of a large language model with its existing AI capabilities—including the patented Cognitive Insights system—Logz.io further positions its Open 360TM platform as a modern, full-stack observability solution. Users benefit from the platform’s continued innovation, driven by crowdsourced insights from its global community of engineering and ITOps professionals to reduce mean time to remediation (MTTR).

Through integration of generative AI, the Open 360 platform gains more powerful capabilities to recommend improvement steps for engineering, DevOps and ITOps teams working to optimize their cloud applications and infrastructure. Building on Logz.io’s existing analytics capabilities, the inclusion of generative AI enriches the Open 360 platform’s Cognitive Insights features with a vast array of known solutions to emerging availability, performance, resilience and security issues.

“Business agility drives development agility, which in turn creates operational complexity and significant troubleshooting challenges,” said Logz.io CTO and co-founder Asaf Yigal. “Most companies collect far more data than they can operationally use, and they spend more money on their observability solutions each and every year. Perversely, all this data and money leads to fewer and fewer targeted insights that positively inform decision-making. Logz.io’s use of generative AI within our existing Cognitive Insights capability is a game changer, because it immediately can reduce MTTR, while extracting more value from less data, all at a lower cost.”

Users tapping into the Open 360 automated recommendation engine will now benefit from the vast wealth of related information incorporated by the generative AI model. All of this supports Logz.io’s continued work to accelerate and increase the efficiency of observability for its customers. Unlike proprietary solutions where innovation often yields to commercial interests, Logz.io is fundamentally dedicated to incorporating every available resource that can benefit its users, such as generative AI.

Here’s how Cognitive Insights with generative AI reduces MTTR for ITOps:

- An engineering team pushes new code into production and soon gets an alert. The DevOps engineer tasked with the project engages the Open 360 platform, which surfaces the most relevant issues to focus on. This reduces the need to search through exceptions and wade through a huge volume of logs, tracing and metrics data.

- To accelerate the process of looking through exceptions, Open 360 uses machine learning to identify common patterns in log data, which filters out the noise of, for example, millions of similar logs.

- The platform’s Cognitive Insights capability automatically cross-references log data with crowdsourced data from the Logz.io community to uncover potential issues and provide actionable references from the web. It pieces together human interactions with log data, combining it with related intelligence from available social threads, discussion forums and open source repositories. This automates—and greatly shortens—the formerly manual task of identifying relevant events, enriching them with information about context, severity and relevance, all while also providing known paths to remediation.

- By combining popular open source observability (OpenSearch, Prometheus and Jaeger) with generative AI, Cognitive Insights now helps users cast the widest net in gaining the latest monitoring, analysis, visualization and intelligence. Integrating generative AI with Cognitive Insights enriches crowdsourced data by additional sources of related information, all indexed by the large language model, vastly deepening the system’s intelligence and reducing MTTR from hours to minutes.

Open 360 with Cognitive Insights augmented by generative AI gives engineers the data they need quickly, including links to related information and best practices for resolving the most relevant issues, empowering them to quickly take actions toward resolution in the production environment.

“We moved quickly to launch the first observability platform leveraging the power of generative AI,” said Tomer Levy, CEO and co-founder of Logz.io. “Sure to be imitated by others, what we’ve pioneered will greatly enhance our Cognitive Insights capabilities and help our customers troubleshoot issues even faster, and speed is power in the battle against downtime and vulnerabilities.”

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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 ...

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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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