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May 12, 2022   |  By Eric Thomas
Regardless of economic conditions, IT usually operates under an axiom no one in business ever likes to hear: “We have to do more with less.” Doing more with less is essentially the default position for IT, but when it comes to security operations, that position can have real consequences.
May 4, 2022   |  By Charlie Klein
When you migrated critical infrastructure to the cloud, what were your goals and expectations? Odds are, you hoped leaving on-premises infrastructure would produce significant organizational benefits. You probably figured you’d streamline operations and reduce management overhead. You felt you’d have an easier time meeting business goals. Perhaps most important of all, you likely expected your environment would become less complex, and even cost less to operate.
May 3, 2022   |  By Jonah Kowall
For the last five years, Logz.io has tracked and measured the pulse of DevOps, as well as adoption of key trends and technology, through our DevOps Pulse survey and report. One of the obvious focus areas for us, as a company whose products are based on industry-leading open source, is the increased rise of incredibly useful open-source observability solutions, in general.
Apr 26, 2022   |  By Dotan Horovits
Elasticsearch has long been the prominent solution for log management and analytics. Cloud-native and microservices architectures, together with the surge in workload volumes and diversity, have surfaced some challenges for web-scale enterprises such as Slack and Twitter. My podcast guest Suman Karumuri, a Sr. Staff software engineer at Slack, has made a career on solving this problem. In my chat with Suman, he discusses for the first time in a public space a new project from his team at Slack: KalDB.
Apr 19, 2022   |  By Matt Hines
Oh how quickly the times change. Over the past 5 years, as Logz.io has executed its annual DevOps Pulse Survey and created the accompanying report, the state of “modern” cloud engineering and monitoring practices have advanced at a torrid pace. As a result, so has the project itself. Back in 2017 when we started polling the industry and collecting data, we sought to validate the usefulness of DevOps itself.
Apr 12, 2022   |  By Dotan Horovits
Metrics storage engines must be specially engineered to accommodate the quirks of metrics time-series data. Prometheus is probably the most popular metrics storage engine today, powering numerous services including our own Logz.io Infrastructure Monitoring. But Prometheus was not enough for Slack given their web-scale operation. They set out to design a new storage engine that can yield 10x more write throughput, and 3x more read throughput than Prometheus! In February 2022 Suman Karumuri, Sr.
Apr 6, 2022   |  By Fred Chaouat
On March 29, 2022, a critical vulnerability targeting the Spring Java framework was disclosed by VMware. This severe vulnerability is identified as a separate vulnerability inside Spring Core, tracked as CVE-2022-22965 and canonically named “Spring4Shell” or “SpringShell”, leveraging class injection leading to a full remote code execution (RCE).
Apr 5, 2022   |  By Dotan Horovits
It’s common sense. When a logstorm hits, you don’t want to be left scrambling to find the one engineer from each team in your organization that actually understands the logging system – then spending even more time mapping the logging format of each team with the formats of every other team, all before you can begin to respond to the incident at hand. It’s a model that simply won’t scale.
Mar 24, 2022   |  By Charlie Klein
Searching and visualizing logs is next to impossible without log parsing, an underappreciated skill loggers need to read their data. Parsing structures your incoming (unstructured) logs so that there are clear fields and values that the user can search against during investigations, or when setting up dashboards. The most popular log parsing language is Grok. You can use Grok plugins to parse log data in all kinds of log management and analysis tools, including the ELK Stack and Logz.io.
Mar 22, 2022   |  By Fred Chaouat
We’ve got some outstanding news to share in the arena of security partnerships: Logz.io® Cloud-based SIEM has officially achieved Amazon Web Services (AWS) Security Competency! This designation within the Logging, Monitoring, SIEM, Threat Detection, and Analytics category further demonstrates Logz.io’s proven commitment to delivering best-in-class security.
Jul 28, 2021   |  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.
Apr 8, 2021   |  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.
Mar 18, 2021   |  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.
Mar 10, 2021   |  By logz.io
The latest cloud security news from top security professionals.
Jan 28, 2021   |  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.
Jan 28, 2021   |  By logz.io
Logz.io Log Management automatically centralizes, parses, and indexed your log data on Logz.io's high-powered ELK Stack.
Jan 28, 2021   |  By logz.io
Logz.io Distributed Tracing provides Jaeger, a quickly growing open source tracing tool, as a managed service.
Jan 28, 2021   |  By logz.io
Logz.io Infrastructure Monitoring cloud-native monitoring with Prometheus and Grafana on our easy-to-use cloud service.

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.