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Serverless has grown in popularity with application developers because it abstracts away the pesky operations pieces of development. Download SignalFx’s Definitive Guide to Serverless Monitoring and Observability and learn from dozens of SignalFx customers using serverless in production.
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.
Understanding Observability (and Monitoring) with Christine Yen
Monitoring and observability is something near-and-dear to my own heart, so I was excited to talk to Christine Yen, Cofounder & CEO of Honeycomb, about observability, why dashboards aren’t as helpful as you think, and the value of being able to ask questions of your own application and infrastructure when you’re troubleshooting.
From The Community
KubeCon observability talk recordings
With KubeCon only a couple of weeks ago, this is a nice turnaround time. Here’s three videos+summaries from the folks at Grafana about their talks at KubeCon.
- What is the Future of Observability?
- Foolproof Kubernetes Dashboards for Sleep-Deprived
- Awesome Query Performance with Cortex
Real-time data processing for monitoring and reporting — A practical use case of spark structured streaming
Primarily about Walmart Labs’ A/B testing/experimentation platform, this article has a lot of applicability to real-time streaming in observability contexts. In fact, they also wrote an article about that too.
Tracking activity in cloud applications
The announcement of a new, free app called Logbird, built by the folks at Dashbird. This looks really cool. My best summation is that Logbird attempts to make querying streaming logs significantly easier.
The quip, “All models are wrong, but some are useful” comes to mind here. I like this model.
Inside Gremlin: Staging Monitoring and Alerting GameDay
The folks at Gremlin are trying their hardest to make chaos engineering more applicable and accessible to everyone, and it’s great to know they’re practicing similar things internally. They recently had a gameday around monitoring & alerting, and this is the resulting writeup for it.
Layer 7 Observability with Consul Service Mesh
I still feel like “Let’s add a service mesh!” might be a question no one is asking, but hey, who am I to judge? Consul now has a service mesh feature, so the folks at Hashicorp wrote up a great piece about observability with it.
kiali/k-charted: Dashboards and Charts library for Kubernetes & Prometheus
Again with service meshes: If you’re using Kiali, I bet this will be super handy.
With OpenTracing+OpenCensus merger, what does that mean for the Jaeger project?
MetricsDB: TimeSeries Database for storing metrics at Twitter
Following up on a pair of posts from 2016(here and here), Twitter is back with another article about their observability stack. This time they’re talking about MetricsDB, their in-house metrics storage solution.
Andrew Certain on Twitter: “If you’re wondering what “P-four-nines” …
“If you’re wondering what “P-four-nines” means, it’s the latency at the 99.99th percentile, meaning only one in 10,000 requests has a worse latency. Why do we measure latency in percentiles? A thread about how how it came to be at Amazon…“
This issue is sponsored by:
Raygun’s Continuous Delivery Process
The folks at Raygun have some thoughts on CI/CD, but rather than bore you with product news, they wrote an article about how they do CI/CD for Raygun itself. Check it out.
NewOps Days - June 3, 2019 - Boston, MA USA
This event is this coming Monday, so a bit late notice. Pretty great speaker/topic line-up, though.
See you next week!
– Mike (@mike_julian) Monitoring Weekly Editor