CIOs see data costs as their greatest logging challenge to overcome, according to this survey we collaborated on with IDC. If you’re running significant production operations, you’re almost certainly generating 100’s of GB of log data every day. Naturally, you’re also monitoring those logs and querying for incident investigations. However, most log data is never queried or analyzed, yet makes up the majority of logging costs.
The audience was buzzing when Ryan McKinley, VP of Innovation at Grafana Labs, demoed the new native support for InfluxDB Flux queries in his talk at the InfluxDays virtual conference in late June. Whether the goal is to build IoT applications, or monitor DevOps infrastructure or another application or system, it’s important to move beyond just visualizing the data.
One of the most common complaints about SCOM is the noisiness of alerts from Management Packs. Getting on top of these alerts can be a huge challenge and often the thing that most gets in the way of an organization getting value out of SCOM. In SquaredUp for SCOM 4.7, our recent feature-packed update, we bring you three new alert-handling super-powers to help you get on top of alerts.
We just released Ruby Gem 2.11. We are always making things easier to use for you, so more things work out of the box and more instrumentation and dashboarding is built without you doing any heavy lifting. This release has a big overhaul of Active Job support. The cherry on the stroopwafel cake is the automatically generated dashboard with status per queue, queue throughput and queue times. 2.11 also polishes a lot of other integrations. Let’s dive in.
When it comes to data, let’s start with the obvious. Averages suck. As developers, we all know that percentiles are much more useful. Metrics like P90, P95, P99 give us a much better indication of how our software is performing. The challenge, historically, is how to track the underlying data and calculate the percentiles. Today I will show you how amazingly easy it is to aggregate and create SQL based percentile rollups with Postgresql and t-digest histograms!
When your server goes down, it can certainly throw a wrench into your daily processes, costing you money and even causing you to lose customers until it’s back up and running again. Thankfully, Pandora FMS can help you prevent it from happening, and in the worst-case scenario when it does, you have the tools to get back up and running again in no time with our server monitoring solution!
This release broadens our commitment to open standards, interoperability, and extensibility with a new generic Prometheus collector that works seamlessly with any application that makes its metrics available in the Prometheus/OpenMetrics exposition format, including support for Windows 10 via windows_exporter. Netdata will autodetect over 600 Prometheus endpoints and instantly generate charts with all the exposed metrics, meaningfully visualized.
Wait, what? An activity log in SCOM? Did I read that right? You sure did! If you haven’t heard it yet, Microsoft recently published some auditing reports as part of SCOM 2019 UR2 that enable you to track management pack actions, override tracking, management pack objects, etc. The official Microsoft release notes are here.
In helping users unify and contextualize all their observability data, Grafana is completely database-agnostic. “We believe that organizations get the best view of what’s going on when they pull in their data from wherever it lives,” said Raj Dutt, CEO of Grafana Labs, the company behind Grafana.
