We’re excited to announce that Sensu 2.0 Beta is now publicly available for testing! Sensu 2.0 is easier to install and operate, requiring only a single sensu-backend process and sensu-agent process that communicate directly with each other. Our new API-driven approach gives you more flexibility when integrating Sensu into your existing infrastructure and tools. We believe this newest release is built to scale and meet the needs not only of your infrastructure today, but for years to come.

Development and operations (DevOps) teams must measure their day-to-day progress. Otherwise, these teams won’t know how they are performing at a given moment. Worst of all, DevOps teams that lack data-driven insights risk falling behind, missing service-level agreement (SLA) requirements and encountering various service problems that could put a company, its employees and its customers in danger.

As one of the most requested features we are happy to officially introduce the Uptime and Response time graphs. Setting up an uptime graph requires zero configuration, it’ll be added automatically to your status page (for startup & business subscribers) and you can choose to hide it in the design page of your admin panel.

Help desk technicians form the front line of support in identifying, troubleshooting, and preventing end user performance issues (and costly downtime) for key applications and services. They need to quickly identify the scope of the issue and route the critical details required to fix the issue – fast. Goliath Technologies increases the troubleshooting and remediation abilities of help desk technicians by placing a vast array of tools at their fingertips.

Helping to protect IT environments from cyber attacks and comply with tightening compliance standards, SIEM systems are becoming the cornerstone for security paradigms implemented by a growing number of organizations.

How do you capture and organize billions of measurements per second such that you can answer a rich set of queries effectively (percentiles, counts below X, aggregations across streams), and you don’t blow through your AWS budget in minutes? To effectively manage billions of data points, your system has to be both performant and scalable. How do you accomplish that? Not only do your algorithms have to be on point, but your implementation of them has to be efficient.

Born to be wild. We’ve been busy with bringing Elasticstack integration into full shape with the Icinga 2 feature and the corresponding Icinga Web 2 module. Both of them were thankfully funded and sponsored by VW. Elasticsearch 6 support is sponsored by a customer too, this will hit 2.9 later in June. Earlier in 2017 we’ve also released the Logstash output for Icinga.

Today PerfOps is releasing a new unique feature that allows users to analyze our performance data in even more detail! From now on, you will be able to access the raw logs for all of our HTTP benchmarks. Every single data point that we used to build our charts is available for everyone, along with the full metadata.

One of the biggest challenges in the field of log analysis is being able to connect the dots and understand the underlying story connecting them. Applications and machines are generating an increasing amount of log data, making it extremely difficult to separate the wheat from the chaff.

We’re happy to announce the release of Pinpoint v1.7.3.