We’ve added the ability to receive Pushover notifications for all our services. Our notification system already supports Slack, email, SMS, voice call, PagerDuty and webhooks, but following feedback from our customers we felt Pushover provided extra functionality for smarter notifications.
When developing mobile apps it’s important to monitor errors so that you can understand your user’s experience. You need deeper insight than just a crash report because errors could cause a degraded user experience or a drop in key behavioral metrics. Your team needs to know quickly when there are production problems either with the app itself or with your backend services so you can fix the issue before more customers are impacted.
In the previous two parts of OpenTracing series, we provided a good OpenTracing overview, explaining what OpenTracing is and does, how it works and what it aims to achieve and looked at Zipkin – a popular open-source distributed tracer. In this blog post, we will look at Jaeger, a newer open-source distributed tracer developed under the CNCF umbrella.
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.
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.
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.
The Linux kernel is an abundant component of modern IT systems. It provides the critical services of hardware abstraction and time-sharing to applications. The classical metrics for monitoring Linux are among the most well known metrics in monitoring: CPU utilization, memory usage, disk utilization, and network throughput. For a while now, Circonus installations have organized, the key system metrics in the form of a USE Dashboard, as a high level overview of the system resources.
