logz.io

Boston, MA, USA
2014
  |  By Jake O'Donnell
Application performance monitoring (APM) has been around for a long time. Odds are if you’re tasked with overseeing app performance, you’ve had to deal with this technology to get an understanding of your applications and any issues that can arise in the name of troubleshooting. But there’s a new approach you should consider: application observability.
  |  By Dotan horovits
Platform Engineering is a hot topic these days. We’ve seen the hype around it in 2023, and I expect we shall see it becoming production-grade as we move into 2024. I wanted to look into this topic, and learn from those who’ve already implemented it at scale: the e-commerce hyperscaler Shopify. In the latest episode of OpenObservability Talks, I had the pleasure of hosting Aparna Subramanian, the Director of Production Engineering at Shopify.
  |  By Dotan horovits
Despite what you may have seen and heard, the intersection of logging, metrics and tracing does not tell the whole story about observability. Our systems emit telemetry, and those previously noted telemetry signals are considered the “three pillars” of observability. They’re all important, but by themselves, they aren’t observability. Many users I see day in and day out find themselves with broken observability even though they’re collecting those three pillars.
  |  By Spencer Bos
At Logz.io, we recently announced the release of App 360, a new solution that aims to shift the paradigm around application performance monitoring (APM) systems. To better give our customers a look at the new solution within the Logz.io Open 360™ platform for essential observability, we recently hosted a webinar explaining App 360 in greater depth and provided a detailed product demonstration. Let’s take a closer look at the key highlights and insights we shared during the webinar.
  |  By Dotan Horovits
In the labyrinth of IT systems, logging is a fundamental beacon guiding operational stability, troubleshooting, and security. In this quest, however, organizations often find themselves inundated with a deluge of logs. Each action, every transaction, and the minutiae of system behavior generate a trail of invaluable data—verbose, intricate, and at times, overwhelming.
  |  By Jake O'Donnell
In the ever-evolving landscape of software development and IT operations, monitoring tools play a pivotal role in ensuring the performance, reliability, and availability of your applications. Two key disciplines in this domain are observability and Application Performance Management (APM). This post will help you understand the nuances between observability and APM, exploring their unique characteristics, similarities, benefits and differences.
  |  By Jake O'Donnell
As we continue to iterate and help organizations meet their observability goals, Logz.io is thrilled to announce we’ve earned over a dozen Winter 2023 G2 Badges for our Logz.io Open 360™ essential observability platform! G2 Research is a tech marketplace where people can discover, review, and manage the software they need to reach their potential. Here are the Winter 2023 G2 Badges we’ve taken home for Application Performance Monitoring (APM) and Log Analysis.
  |  By Dotan Horovits
With 2023 drawing to a close, the final OpenObservability Talks of the year focused on what happened this year in open source, DevOps, observability and more, with an eye towards the future. I was delighted to be joined by a special guest, Kelsey Hightower, a renowned figure in the tech community, especially known for his contributions to the Kubernetes ecosystem.
  |  By Jake O'Donnell
For businesses reliant on customers’ positive digital experiences to achieve their goals, the seamless operation of cloud applications and infrastructure is paramount for financial success. Observability holds a pivotal role in modern enterprises, offering critical insights into your IT system’s health and performance. However, persistent issues of complexity and high costs have plagued the observability landscape.
  |  By Matt Hines
As we continue to navigate the ongoing evolution of the observability landscape, Logz.io is constantly striving to provide our customers with the advanced platform capabilities needed to make sense of their increasingly complex environments. Sometimes that means taking a new approach to long-standing practices.
  |  By logz.io
Watch this Logz.io and the Azure Cloud team webinar to learn about the Logz.io Azure Marketplace native integration. More specifically, about: Collecting logs from Azure resources or applications in minutes with Logz.io — all within the Azure Portal. Integrate Logz.io with Active Directory SSO for access control. Collect their logs through a new “pay for what you use” pricing model — rather than committing to log volumes and plans upfront.
  |  By logz.io
Azure users can now deploy the Logz.io platform directly from the Azure Console with the click of a button. The seamless integration between Azure and Logz.io delivers visibility and monitoring for enterprise organizations developing applications on Azure, providing the specific information needed to streamline code development and achieve business agility.
  |  By logz.io
Logz.io recently announced General Availability for Prometheus-as-a-service. In this webinar, we’ll help Prometheus users understand the advantages of offloading Prometheus metrics storage to Logz.io, as well as unifying metrics alongside logs and traces.
  |  By logz.io
Logz.io Infrastructure Monitoring delivers Prometheus-as-a-service, which centralizes your Prometheus metrics on Logz.io’s scalable cloud platform for storage and analysis and unifies your metrics with logs and traces.
  |  By logz.io
The latest cloud security news from top security professionals.
  |  By logz.io
Logz.io collects your logs, metrics, and traces in the same place so you can seamlessly jump between each data type to investigate problems faster than ever.

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.