As an observability leader, at Logz.io, we pride ourselves on continuous innovation. That’s why, last year, we released our AI agents to revolutionize observability by helping businesses, and their engineering and DevOps teams, automate data analysis and root cause analysis. The primary way in which engineering and DevOps teams interact with the agents is by asking performance, troubleshooting, and optimization-related questions.
|
By Henn Idan
We’re excited to announce a series of upgrades to our AI Agent, Log Management Explore UI and core integrations designed to empower you with even deeper observability and streamlined operations. These updates enhance account visibility, multi-telemetry trace insights, and logging capabilities while ensuring seamless compatibility with OpenTelemetry. Read on to discover how these enhancements can help you gain more clarity and control over your environment.
|
By Gregorio Fusco
According to the 2024 Logz.io Observability Pulse Survey, 91% of respondents said they’re actively looking for ways to reduce observability costs, and 50% want better visibility into their monitoring expenses.
|
By Jade Lassery
Today’s distributed, cloud-native systems generate logs at a high rate, making it increasingly difficult to derive actionable insights. AI and Generative AI (GenAI) technologies—particularly large language models (LLMs)— are transforming log management tools by enabling teams to sift through this data, identify anomalies, and deliver real-time, context-rich intelligence to streamline troubleshooting.
|
By Jade Lassery
In formal terms, OpenTelemetry is an open source framework used for instrumenting, generating, collecting, and exporting telemetry data for applications, services, and infrastructure. It provides vendor-neutral tools, SDKs and APIs for generating, collecting, and exporting telemetry data such as traces, metrics, and logs to any observability backend, including both open source and commercial tools.
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.
|
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!
|
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.
|
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.
|
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.
|
By logz.io
In the video, Jade Lassery discusses how to effectively manage complex environments, especially when faced with unexpected spikes in errors. She introduces a Logz.io AI agent prompt that assists users in quickly identifying the root cause of these issues. By simply asking the right questions, users can streamline their troubleshooting process and enhance their operational efficiency.
|
By logz.io
Welcome to Logz.io, where we make monitoring, troubleshooting, and optimizing your systems easier than ever. Our AI-driven observability platform helps you: Ingest and manage your logs effortlessly Analyze and visualize data with powerful filtering & alerting Pinpoint root causes instantly with AI-powered RCA Optimize observability costs with DataHub Ensure peak system performance with Kubernetes 360 & App 360.
|
By logz.io
Explore how AI is transforming observability by mapping system connections and uncovering root causes with precision. The Logz.io AI Agent analyzes logs, metrics, and service dependencies to provide actionable insights without the need to sift through overwhelming amounts of data.
|
By logz.io
Welcome to Explore, the new Logz.io UI designed to make log management and analytics faster and smarter with the power of AI. In this walkthrough, we showcase how you can transform the way you analyze data, troubleshoot issues, and collaborate with your team.
|
By logz.io
Ready to start sending data to Logz.io? This quick guide walks you through the simplest ways to integrate your logs, metrics, and traces into the Logz.io platform, tailored to your unique environment and use case.
|
By logz.io
Managing logs in a fast-paced cloud-native world can be tough. Log data is growing, and traditional tools just can’t keep up. That’s where Logz.io comes in—a log management and analytics platform powered by AI to make troubleshooting, performance monitoring, and collaboration faster and easier than ever.
|
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.
|
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.
|
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.
|
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.
- February 2025 (5)
- January 2025 (13)
- December 2024 (5)
- November 2024 (4)
- October 2024 (3)
- September 2024 (2)
- August 2024 (3)
- July 2024 (5)
- June 2024 (16)
- May 2024 (7)
- April 2024 (6)
- March 2024 (4)
- February 2024 (2)
- January 2024 (7)
- December 2023 (5)
- November 2023 (5)
- October 2023 (9)
- September 2023 (8)
- August 2023 (7)
- July 2023 (6)
- June 2023 (9)
- May 2023 (7)
- April 2023 (6)
- March 2023 (8)
- February 2023 (5)
- January 2023 (7)
- December 2022 (6)
- November 2022 (7)
- October 2022 (10)
- September 2022 (11)
- August 2022 (5)
- July 2022 (5)
- June 2022 (11)
- May 2022 (5)
- April 2022 (5)
- March 2022 (9)
- January 2022 (1)
- December 2021 (5)
- November 2021 (13)
- October 2021 (7)
- September 2021 (10)
- August 2021 (5)
- July 2021 (10)
- June 2021 (9)
- May 2021 (6)
- April 2021 (10)
- March 2021 (13)
- February 2021 (7)
- January 2021 (15)
- December 2020 (8)
- November 2020 (11)
- October 2020 (10)
- September 2020 (14)
- August 2020 (9)
- July 2020 (11)
- June 2020 (25)
- May 2020 (11)
- April 2020 (19)
- March 2020 (21)
- February 2020 (13)
- January 2020 (5)
- December 2019 (14)
- November 2019 (12)
- October 2019 (10)
- September 2019 (15)
- August 2019 (25)
- July 2019 (16)
- June 2019 (17)
- May 2019 (16)
- April 2019 (13)
- March 2019 (11)
- February 2019 (10)
- January 2019 (10)
- December 2018 (8)
- November 2018 (9)
- October 2018 (10)
- September 2018 (4)
- August 2018 (9)
- July 2018 (9)
- June 2018 (11)
- May 2018 (10)
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.