29 min listen
Episode 7: The Exact Opposite of a Job Creator
Episode 7: The Exact Opposite of a Job Creator
ratings:
Length:
35 minutes
Released:
Apr 24, 2018
Format:
Podcast episode
Description
Monitoring in the entire technical world is terrible and continues to be a giant, confusing mess. How do you monitor? Are you monitoring things the wrong way? Why not hire a monitoring consultant!
Today, we’re talking to monitoring consultant Mike Julian, who is the editor of the Monitoring Weekly newsletter and author of O’Reilly’s Practical Monitoring. He is the voice of monitoring.
Some of the highlights of the show include:
Observability comes from control theory and monitoring is for what we can anticipate
Industry’s lack of interest and focus on monitoring
When there’s an outage, why doesn’t monitoring catch it?” Unforeseen things.
Cost and failure of running tools and systems that are obtuse to monitor
Outsource monitoring instead of devoting time, energy, and personnel to it
Outsourcing infrastructure means you give up some control; how you monitor and manage systems changes when on the Cloud
CloudWatch: Where metrics go to die
Distributed and Implemented Tracing: Tracing calls as they move through a system
Serverless Functions: Difficulties experienced and techniques to use
Warm vs. Cold Start: If a container isn't up and running, it has to set up database connections
Monitoring can't fix a bad architecture; it can't fix anything; improve the application architecture
Visibility of outages and pain perceived; different services have different availability levels
Links:
Mike Julian
Monitoring Weekly
Copy Construct on Twitter
Baron Schwartz on Twitter
Charity Majors on Twitter
Redis
Kubernetes
Nagios
Datadog
New Relic
Sumo Logic
Prometheus
Honeycomb
Honeycomb Blog
CloudWatch
Zipkin
X-Ray
Lambda
DynamoDB
Pinboard
Slack
Digital Ocean
Today, we’re talking to monitoring consultant Mike Julian, who is the editor of the Monitoring Weekly newsletter and author of O’Reilly’s Practical Monitoring. He is the voice of monitoring.
Some of the highlights of the show include:
Observability comes from control theory and monitoring is for what we can anticipate
Industry’s lack of interest and focus on monitoring
When there’s an outage, why doesn’t monitoring catch it?” Unforeseen things.
Cost and failure of running tools and systems that are obtuse to monitor
Outsource monitoring instead of devoting time, energy, and personnel to it
Outsourcing infrastructure means you give up some control; how you monitor and manage systems changes when on the Cloud
CloudWatch: Where metrics go to die
Distributed and Implemented Tracing: Tracing calls as they move through a system
Serverless Functions: Difficulties experienced and techniques to use
Warm vs. Cold Start: If a container isn't up and running, it has to set up database connections
Monitoring can't fix a bad architecture; it can't fix anything; improve the application architecture
Visibility of outages and pain perceived; different services have different availability levels
Links:
Mike Julian
Monitoring Weekly
Copy Construct on Twitter
Baron Schwartz on Twitter
Charity Majors on Twitter
Redis
Kubernetes
Nagios
Datadog
New Relic
Sumo Logic
Prometheus
Honeycomb
Honeycomb Blog
CloudWatch
Zipkin
X-Ray
Lambda
DynamoDB
Pinboard
Slack
Digital Ocean
Released:
Apr 24, 2018
Format:
Podcast episode
Titles in the series (100)
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