Sumo timeslice download#

This graph is designed to help identify if your Postgres database is CPU-bound. Read more about the fields Heroku includes for memory consumption. Memory Quota ( memory_quota): The resident memory ( memory_rss) value (megabytes) at which Heroku triggers an R14 error.Resident Memory ( memory_rss): The portion of the dyno’s memory (megabytes) held in RAM.In this query we divide the Resident Memory ( memory_rss) by the Memory Quota ( memory_quota) to get a maximum memory utilization rate for our dynos.Īt the end of the query we do a fields _timeslice, memory_utilization so that memory_rss and memory_quota don’t show up in our graph. | max_memory_rss / max_memory_quota * 100 as memory_utilization | max(memory_rss) as max_memory_rss, max(memory_quota) as max_memory_quota by _timeslice | parse 'sample#memory_quota=*MB' as memory_quota | parse 'sample#memory_rss=*MB' as memory_rss It uses Heroku’s CPU load average calculation which, in my experience, is mostly useful to identify relative spikes in load. This graph is designed to help provide insight into the CPU usage for you application. All queries omit application specific filters: This is done so that the dashboard can be applied to any application with a SumoLogic Dashboard Filter.'This is a very hacky solution which might get you in trouble' as inputField replace (inputField, /is/, '') as matched replace (matched, / /, '') as. If inputField is your input field and you want to count the number of times is happens in the inputField, then. All queries timeslice with buckets: This is done so that the time period can be changed on the dashboard and the graphs auto adjust their precision accordingly. I have an idea for a hacky solution using replace () regex variant.Some things to note with the implementations below: More than 1,000 customers around the globe rely on Sumo Logic for the analytics and insights to build, run and secure their modern applications and cloud. Sidekiq logs are available by default as standard application logs from worker dynos. Sumo Logic is the industry’s leading secure, cloud-native, machine data analytics service, delivering real-time, continuous intelligence across the entire application lifecycle and stack. Heroku Postgres logs are available by default for Heroku Postgres Standard and Premium Tier databases. CPU, memory usage) are available if you enable the Heroku Labs log-runtime-metrics feature. Heroku runtime dyno performance logs (e.g. The timeslice operator segregates data by time period. In order to build dashboards for these different areas, we first need to consider what kinds of logs Heroku makes available. A quick reference for Sumo Logic to stick on your desk and a good way to learn the basics about. To do this we are going to focus on a few key areas: Our goal is to create a Sumo Logic dashboard that we can use to help us identify trends and problems with the performance of our

Sumo timeslice download#

You can download the JSON config to import this dashboard for your own application. You should modify the dashboard and queries to fit your application’s specific needs. Note: The dashboard and graphs outlined in this article are simplified examples of what I have used successfully in a production environment in the past.