Issue 132
I don’t typically see many articles on OpenShift monitoring, so get two of them in a single week feels borderline excessive. More cool new features from Grafana, Redis and SQL monitoring, and a smattering of articles on AWS and GCP topics. Oh, and gobs of job postings. Enjoy!
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Articles & News on monitoring.love
Observability & Monitoring Community Slack
Come hang out with all your fellow Monitoring Weekly readers. I mean, I’m also there, but I’m sure everyone else is way cooler.
From The Community
Logging Architecture - Fluent Bit & Fluentd & ELK
Using Fluentd and Elasticsearch as the logging infrastructure for your Kubernetes apps.
AWS Cloudwatch Centralized Monitoring
AWS recently announced cross account alarms for CloudWatch users. This article offers a quick walkthrough for setting this up in your own environment.
2 Mini HOW-TO guides for Prometheus on Openshift- Federation & Custom Infrastructure Alerting
If you’re in the unenviable position of a) running OpenShift, b) with federated Prometheus, c) but without Thanos, this is the article for you. All kidding aside, this is a helpful write up for anyone tasked with monitoring a complex OpenShift environment.
Redis Server — Debugging Performance
A solid collection of tips for debugging Redis performance. Even teams that have been running Redis for a while will probably find something new here.
Microservices Observability with Jaeger
Instrumenting your microservices for Jaeger tracing, from the perspective of a Node.JS developer.
Streaming real-time sensor data to Grafana using MQTT and Grafana Live
That’s a mouthful of a title, but this is legitimately very cool. Real-time sensor visualization opens up entirely new categories of use cases for Grafana.
Save 10% disk space on your logging datasets with match_only_text
Did you know you can save 10% or more with GEICO Elasticsearch match_only_text?
Platform Performance Monitoring in OpenShift 4
An overview of all the dashboards and metrics included with OpenShift 4.
Manage incidents directly from Slack
Rootly helps automate the tedious manual work like creating incident channels, searching for runbooks, documenting the postmortem timeline, and more. Teams sized 20 to 2000 manage hundreds of incidents daily and save thousands of engineering hours a year within Rootly. Get started in <5min or book a demo to learn more and get Starbucks ☕ on us! (SPONSORED)
Monitoring Serverless Java Applications
I wish all AWS articles were this comprehensive and easy to read. Even if you’re not running serverless Java apps, I’m guessing there are some useful bits in here for most of us.
How to use PromQL joins for more effective queries of Prometheus metrics at scale
Not gonna lie, this kind of breaks my brain but it also looks like a huge time-saver. Normalizing alerts is definitely a win.
Getting started with Google Cloud Monitoring APIs — Part 2
Really great write-up on how to pull the raw data from Google Cloud monitoring into your custom apps or reports.
How stuff works: Integrating Query Exporter and Prometheus
How to use Query Exporter to pull custom Prometheus metrics from your SQL databases.
Tools
“The MQTT data source plugin allows you to visualize streaming MQTT data from within Grafana.”
“Export Prometheus metrics from SQL queries”
Job Opportunities
Senior DevOps Engineer at Hive Collective (Remote)
DevOps Engineer at Loupe (Remote)
Site Reliability Engineer at Fairwinds (Remote)
Site Reliabililty Engineer at MLB.com (US, NYC)
Sr Site Reliability Engineer at Electric (US, NYC)
Ready to lower your AWS bill? Now might be the perfect time for an AWS Cost Optimization project with The Duckbill Group. The Duckbill Group aims for a 15-20% cost reduction in identified savings opportunities through tweaks to your architecture–or your money back. (SPONSORED)
See you next week!
– Jason (@obfuscurity) Monitoring Weekly Editor