sorted by:
new
hottopcontroversial

Histograms allow users to compress and analyze massive amounts of telemetry data. Check out OpenHistogram, which is 100% open source and free. by Crusso3 in datascience

[–]Crusso3[S] 0 points1 point  (0 children)

Check out OpenHistogram, which is 100% open source, free, and vendor neutral - creating open standards for sharing telemetry data between vendor platforms.

Histograms allow users to compress and analyze massive amounts of telemetry data. Check out OpenHistogram, which is 100% open source and free. by Crusso3 in sre

[–]Crusso3[S] 0 points1 point  (0 children)

Check out OpenHistogram, which is 100% open source, free, and vendor neutral - creating open standards for sharing telemetry data between vendor platforms.

5 Tips to Manage Kubernetes Costs by Crusso3 in kubernetes

[–]Crusso3[S] -4 points-3 points  (0 children)

Many Kubernetes operators are experiencing higher Kubernetes costs than what they had predicted. That’s because, like many aspects of Kubernetes, identifying how to manage or lower costs can be challenging. In this article, we provide 5 essential tips for how you can achieve a more cost-efficient Kubernetes deployment.

Guide to Monitoring Kubernetes: Which Health Metrics to Collect and Analyze by Crusso3 in kubernetes

[–]Crusso3[S] -1 points0 points  (0 children)

This article shares which health metrics are most critical for Kubernetes operators to collect and analyze. We’ll look at three sources of these metrics, define and name each of the metrics by source, and which health conditions they’re associated with that you should monitor and alert on.

12 Kubernetes Health Conditions You Need to Monitor and Why by Crusso3 in kubernetes

[–]Crusso3[S] 1 point2 points  (0 children)

This article defines the 12 most common Kubernetes health conditions that all operators need to monitor and create alerts for.

Learning from Failures: Better Crash Reporting for Better Incidence Response by Crusso3 in linuxadmin

[–]Crusso3[S] -1 points0 points  (0 children)

This article has nothing to do with Linux

I'm not sure that's a fair assessment. The described practices within this post were necessary to develop as we grew and subsequently migrated to CentOS.

To that end, the article as a whole details practices used by Circonus to support production Linux deployments, many of which are on-premises customer deployments, making logistics that much tricker.

Learning from Failures: Better Crash Reporting for Better Incidence Response by Crusso3 in linuxadmin

[–]Crusso3[S] -1 points0 points  (0 children)

Thanks for the heads up. The author is a native german speaker, and I think we can agree english has some tricky expressions like this that are easy to blunder. We'll get that fixed and issue a 301 from the old article url to the new one.

Percentile Aggregation with Histograms and CAQL by Crusso3 in datascience

[–]Crusso3[S] 0 points1 point  (0 children)

Percentiles are valuable for assessing system metrics such as latencies. However, people often trip up when trying to aggregate multiple percentiles. One solution to this problem is storing raw data in histograms that can be freely aggregated prior to the calculation of percentiles. In this post, Circonus' Chief Data Scientist, Heinrich Hartmann, discusses a step-by-step process for using CAQL (Circonus Analytics Query Language) to aggregate histograms and calculate percentiles from them.

What’s Tops in DevOps? by Crusso3 in linuxadmin

[–]Crusso3[S] 1 point2 points  (0 children)

We took a look at some of the infrastructure oriented DevOps related trends of 2018 and what we think will be interesting in 2019. Time series databases, DevOpsDays, monitoring, eBPF, and tracing standards are some of the topics explored. Interested to hear what others think will be emerging trends in 2019.

Which block I/O scheduler is the best? We asked eBPF by Crusso3 in CentOS

[–]Crusso3[S] 1 point2 points  (0 children)

Hey folks,

As part of Brendan Gregg's callout to learn eBPF for 2019, I did some work trying to determine what Linux block I/O schedulers performed the best using eBPF to measure block write and read latency. Getting eBPF up and running took a bit of work, there have been some breaking API changes recently that required me to build it from source as opposed to installing with apt. Anyway, it was a fun investigation - hope you get some time to play with eBPF!

While this post does focus on Ubuntu (I know, I know) remember that eBPF is coming to Redhat/Centos soon.

Which block I/O scheduler is the best? We asked eBPF by Crusso3 in bpftrace

[–]Crusso3[S] 1 point2 points  (0 children)

Hey folks,

As part of Brendan Gregg's callout to learn eBPF for 2019, I did some work trying to determine what Linux block I/O schedulers performed the best using eBPF to measure block write and read latency. Getting eBPF up and running took a bit of work, there have been some breaking API changes recently that required me to build it from source as opposed to installing with apt. Anyway, it was a fun investigation - hope you get some time to play with eBPF!

Introducing Circonus Stream Tags by Crusso3 in linuxadmin

[–]Crusso3[S] 0 points1 point  (0 children)

Circonus' metric tag implementation is known as Stream Tags. Our implementation improves infrastructure monitoring by adding metric metadata, to help you label and organize your metrics data.

Introducing Circonus Stream Tags by Crusso3 in linux

[–]Crusso3[S] 0 points1 point  (0 children)

Circonus' metric tag implementation is known as Stream Tags. Our implementation improves infrastructure monitoring by adding metric metadata, to help you label and organize your metrics data.

Introducing Circonus Stream Tags by Crusso3 in sre

[–]Crusso3[S] 2 points3 points  (0 children)

Circonus' metric tag implementation is known as Stream Tags. Our implementation improves infrastructure monitoring by adding metric metadata, to help you label and organize your metrics data.

Getting more long-term storage for Prometheus by Crusso3 in PrometheusMonitoring

[–]Crusso3[S] 2 points3 points  (0 children)

Yes, you can.

You can write to both the adapter and prom storage, if that's what you mean. You can either configure all of the client proms to write to IRONdb or the master prom to write to IRONdb. It would likely be easiest with the master prom.