logz.io

Boston, MA, USA
2014
  |  By Tomer Levy
When Gartner publishes their annual observability industry research, it’s always exciting to find your company named among the most successful and high-profile providers in this space. That’s why Logz.io is thrilled to find itself listed as a Visionary for the third consecutive year in the Gartner Magic Quadrant for Observability Platforms (previously known as the Magic Quadrant for Application Performance Monitoring and Observability).
  |  By Jake O'Donnell
That’s the assessment of Senior DevOps Engineer and Logz.io user Armin Morattab when discussing the impact of AI on his day-to-day job. He dives deep on AI, observability, and strategies for improving workflows with Logz.io Co-founder Asaf Yigal in our webinar, AI in Observability: Real Engineers Talk Real Uses Cases.
  |  By Jake O'Donnell
Your team is responsible for ensuring the reliability and performance of your organization’s critical applications and infrastructure. What keeps you up at night? Your applications are more complex, distributed and cloud-native than ever, meaning that understanding what’s happening under the hood has never been more complex than it is now. Is it system bugs, or data bottlenecks? Chasing alerts for latency or service degradation that may or may not be business-critical?
  |  By Jake O'Donnell
At Logz.io, we’ve found that for most organizations observability challenges start with log management. Today more than ever, log management is a highly complex practice that involves mountains of ephemeral data, and the related obstacles are preventing people from achieving their observability goals, full stop. That’s why we designed our new log management UI to simplify the daily tasks of SREs and developers in managing logs and diving into data.
  |  By Dotan Horovits
Kubernetes has just reached its 10th anniversary, signifying the maturity of the containers movement. Now it’s time to explore the next frontier in cloud-native evolution: WebAssembly, a.k.a. WASM or Wasm. Moving beyond containers and Kubernetes, WASM bears the promise to revolutionize the cloud landscape with unparalleled performance, portability, and security.
  |  By Jake O'Donnell
Despite advances in the world of observability, log management hasn’t evolved much in recent years. In our webinar, Your Faster, Easier Log Management UI is Here, we share our vision for log management and provide a demo of Logz.io Explore, the new UI for our Log Management solution.
  |  By Jake O'Donnell
There’s no question that achieving end-to-end observability is among the most challenging tasks facing engineering and ops teams today. A quick look back at the 2024 Observability Pulse survey throws this conclusion into stark relief as: Logz.io is committed to making observability smarter, faster, and easier — from data ingestion, to troubleshooting, to managing costs.
  |  By David Lotan Bolotnikoff
The business of observability is all about data: what you’re observing in the data, how you’re visualizing it, what it indicates about the state of your environment, and how to address issues that may occur. Creating your own perspective for observability, and understanding what you’re seeing, can be difficult.
  |  By Dotan Horovits
Redis is no longer open source. In March 2024 the project was relicensed, leaving its vast community confused. But the community did not give up, and started work to fork Redis to keep it open. On my recent OpenObservabilty Talks episode, I delved into Valkey, a prominent fork of Redis.
  |  By Spencer Bos
There’s so much hype around the use of AI in observability — but how does that translate into making tangible progress with your day-to-day tasks? At Logz.io we’ve introduced an AI-based chatbot assistant to the Open 360 platform that automatically delves into your stack, fine-tunes your workflows and enables conversation directly with your systems and data.
  |  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.
  |  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.
  |  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.
  |  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.
  |  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.
  |  By logz.io
Deep dive into how App 360 helps reduce troubleshooting time with Anomaly Detection. With Anomaly Detection for App 360, Logz.io users can now enlist targeted automation to do more work for you - automatically monitoring and alerting any issues occurring within the specific services and microservices identified as most critical.
  |  By logz.io
See how Logz.io makes log collection and analytics easier, faster, and more cost effective. With Logz.io, quickly explore your data with intuitive and high performance search filters, or accelerate troubleshooting with Log Patterns to scan through your log data in seconds. Visualize spikes, dips, and other trends in your logs with prebuilt and customizable monitoring dashboards.
  |  By logz.io
Based on Jaeger, the popular open source for distributed tracing chosen for CNCF. Provided as an easy-to-use, fully managed solution, integrated with log and metrics analytics.
  |  By logz.io
See how you can centralize your metrics at any scale and unify them with logs and traces for full visibility into infrastructure health and performance. Slice and dice your metric data to quickly gain insights into any component within ephemeral infrastructure. Track tens of thousands of metrics out-of-the-box with open source-based integrations like Prometheus or Logz.io’s Telemetry Collector, while easily filtering out unneeded data to reduce costs. Utilize Kubernetes 360 to get a complete overview of infrastructure health and performance with minimal configuration.
  |  By logz.io
Deep dive into the different use cases and applications for Logz.io IQ Assistant. See how Logz.io's AI-based observability insights are enabling teams to efficiently and effectively tackle common observability hurdles including rising costs and troubleshooting times.

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.