Cloud security is becoming one of the most pressing issues for many modern organizations as they move to the cloud. According to Cloudneeti’s 2019 Cloud Security Trends and Predictions report, by 2020, 41% of overall workloads will run in public clouds. Defending against unauthorized data exposure and securing data, applications, and infrastructures across the cloud environment is a must. It is the responsibility of every organization and should be taken seriously.

At Logz.io we obsess over our customers and believe that our customers’ happiness is fundamental to our success as a company. With a growing number of customers all over the world, it’s important to us that we provide them with the best experience we possibly can. After all, we know we’re handling extremely important data and helping to keep mission-critical applications up and running.

Load balancers play a key component in any cloud-based deployment. By distributing incoming traffic across backend servers or services, load balancers help improve responsiveness and increase the availability of your applications. Monitoring load balancers is important for analyzing traffic patterns and troubleshooting performance and availability issues.

At RSA this year, we introduced a series of new enhancements to Security Analytics – our new app for helping organizations combat security threats and meet compliance requirements. We are now happy to announce the official release of one of these features — Drilldown!

Have you ever found yourself trying to reconstruct an event from the past only to come up blank because you cannot go so far back in time? If only you could bring back that missing piece of the puzzle! In the world of IT, logs are the way machines and software record events. They help us understand when an event happened, where they happened and most importantly, why they happened.

Following the recent announcement of our partnership with Microsoft, Azure users can now monitor, troubleshoot, and secure their environments with a fully managed Azure-native ELK solution. However, If you want to set up the ELK Stack on Azure on your own this guide will help you get started.

Whether an active member of the ELK community or just a happy user, you’ve probably heard of a recent data breach involving Elasticsearch. Indeed, not a month goes by where we don’t come across an article or research showcasing a set of sensitive information exposed on an Elasticsearch cluster.

Today, I’m excited to announce a partnership between Logz.io and Microsoft Azure. With this partnership, Logz.io is now offering Azure customers a fully managed, scalable machine data analytics platform built on ELK and Grafana. What does that mean? Azure customers can now easily deploy, run, and scale ELK without the hassle and pain of maintaining and managing the stack themselves.

While Logz.io provides Kibana — the ELK Stack’s visualization tool — as part of its service, a lot of users have asked us to support Grafana. One of the leading open source visualization tools today, Grafana has some added value when compared to Kibana, especially around visualizing time-series data.