We’re thrilled to announce that Logz.io received a Special Mention for Best Use of AI from the 2024 O11ys Awards, a celebration of innovation and excellence in observability. The 2024 O11ys Awards recognized our AI Agent, calling it: This recognition validates our mission to simplify observability with AI, empowering teams to troubleshoot faster, optimize costs, and focus on innovation.
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By Henn Idan
We’re thrilled to launch our brand-new and improved Support Help Center, designed to streamline how you interact with our support team and access the resources you need. This enhanced platform empowers users to: This is more than just a support portal—it’s a centralized hub to enhance your experience, provide solutions faster, and keep your feedback front and center in our development process. Explore our new Support Help Center for answers and assistance!
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By Jade Lassery
Managing modern systems requires a constant balance between operational efficiency and innovation; going a little further, maintaining seamless operations and delivering exceptional customer experiences increasingly depend on ensuring robust observability. For years, the ELK stack (Elasticsearch, Logstash, Kibana) has been the go-to solution for many organizations for log management and observability, offering flexibility control and an open source approach.
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By Jake O'Donnell
Complexity rules the day within the world of data systems and pipelines. A goal for any observability practice is to help reduce complexity and give users and administrators a clear view of what’s happening in any system. This is the path to unified observability, a mature system where monitoring and troubleshooting are streamlined. This has been difficult to achieve for many organizations.
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By Jake O'Donnell
As digital applications and infrastructures grow increasingly complex, managing and understanding log data has become increasingly vital in achieving practical observability, enabling organizations to detect, diagnose, and prevent issues across their systems. However, traditional log analysis methods often struggle with the volume and complexities of modern log data in cloud-native environments.
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By Jake O'Donnell
These days, one of the most important decisions that organizations can make as it relates to their observability strategy is: “How much data do we want to retain in Hot storage to ensure we have everything needed for real time analysis — without running up associated costs?”
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By Jake O'Donnell
We’re rolling out new visualization capabilities in the Explore log management interface that are available now in some accounts and will be added to all in the coming weeks and months. With these updates you can: Warm Tier: There is now a new option for log storage and access that bridges the gap between high-performance Hot storage and the low-cost Cold Tier. Reach out to your customer success team for more information.
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By Jake O'Donnell
A critical component of any monitoring and observability system is alerting. But alerts in and of themselves aren’t enough—when something goes wrong, time is of the essence, and your team needs to figure out not just what’s going on but how to fix it, and fast. Additionally, constantly chasing down alerts can be the bane of any observability practitioner’s existence.
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By Jake O'Donnell
As Gartner predicts, AI will support up to 70% of performance monitoring and troubleshooting tasks in the next few years. The Logz.io AI Agent helps teams get ahead of this curve today. Too much time spent troubleshooting? You’re not alone. Manual investigation, jumping between dashboards, and piecing together scattered data are time-consuming and frustrating.
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By Jake O'Donnell
In the webinar, the experts explained why a log management strategy is crucial if you want to accurately assess the health and compliance of your applications. Topics include: Cloud native technologies have made it harder to understand how systems are behaving. Logs are the answer, but they can be voluminous and complex in any environment. How do you make sense of them?
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By logz.io
In this insightful talk, Asaf Yigal, Co-founder and VP of Product at Logz.io, shares the turning point in observability: addressing the growing complexity of modern environments with AI-driven solutions. From Kubernetes to multi-cloud infrastructures, traditional observability tools fall short in solving complex problems. Discover how Logz.io leverages artificial intelligence to simplify monitoring, enhance troubleshooting, and revolutionize how companies tackle observability challenges. Learn why smarter, AI-powered tools are the future of observability.
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By logz.io
Discover how Logz.io is transforming observability with GenAI, enabling you to troubleshoot complex problems and optimize cloud configurations effortlessly. In this video, we showcase how GenAI leverages your data to perform advanced root cause analysis, automating the process of identifying and resolving exceptions in modern, complex environments. Learn how GenAI analyzes deployment changes, workload patterns, and configuration updates to provide a detailed report in under a minute. Say goodbye to manual troubleshooting and hello to smarter, AI-powered insights.
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By logz.io
Discover how AI is revolutionizing observability and transforming the way we work. In this insightful talk, we explore the parallels between the adoption of Google search and the shift toward natural language-driven observability. Learn why outdated methods like manual graphs, alerts, and extensive data storage are becoming obsolete. It’s time to embrace change, ask questions naturally, and get the answers you need—effortlessly.
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By logz.io
Explore how cutting-edge Generative AI techniques are transforming root cause analysis and troubleshooting. This video dives into the innovative use of the RAG (Retrieval-Augmented Generation) approach to combine past data with real-time information and multi-agent models for dynamic problem-solving. Learn how AI agents ask follow-up questions, analyze data, and deliver highly accurate results like never before.
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By logz.io
In today’s fast-paced, cloud-native environment, managing logs can be a real challenge. Traditional tools struggle to keep up, making it difficult to find the root cause of issues when every second counts. Logz.io’s new AI-powered log management and analytics solution is here to change that.
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By logz.io
Iin the world of Kubernetes and increasingly ephemeral environments. APMs, despite their benefits, simply were not designed with today’s microservices and complex cloud architectures in mind. This is why so many APM users are looking for a new observability-driven approach.
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By logz.io
With Anomaly Detection for App 360, Open 360 users can now enlist targeted automation to do more of the work for them — automatically monitoring and alerting any issues occurring within the specific services and microservices they identify as being most critical, which are often those that immediately impact business or SLO-related requirements.
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By logz.io
Monitoring a Kubernetes environment brings a number of complex challenges. Learn how you can overcome these challenges while also closely managing costs to help you efficiently and effectively scale your Kubernetes environment.
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By logz.io
Explore the innovative features of Logz.io’s Open 360 observability platform. Discover how AI-driven insights can transform your observability and apm process, improve efficiency, and enhance decision-making. Learn from our experts as they demonstrate Logz.io Open 360 capabilities, including real-time monitoring, anomaly detection, and more. See how to unlock the full potential of your data with cutting-edge AI technology.
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By logz.io
Welcome to our comprehensive demonstration of Logz.io App 360, the ultimate observability solution designed for modern microservices and cloud-native environments. In this video, we will showcase how App 360 can revolutionize your approach to application performance monitoring by providing a unified view of logs, metrics, and traces.
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Logz.io is an AI-powered log analysis platform that offers the open source ELK Stack as a enterprise-grade cloud service with machine learning technology. Our platform uses AI and and machine-learning algorithms to help DevOps engineers, system administrators, and developers to find critical events in the volumes of information that are now constantly generated in IT environments.
Created by a Check Point veteran and a former algorithm engineer for the Israeli military, the enterprise-grade, cloud platform is built on top of the ELK Stack and provides real-time access to data insights based on the collaborative knowledge of IT executives throughout the world. The ELK Stack -- Elasticsearch, Logstash, and Kibana -- is the world’s most popular open-source log analytics software stack.