#Sumologic timeslice get oldest how to
#Sumologic timeslice get oldest download

Luckily I have found one operator that accidentally reveals this information. I have searched around but I wasn’t be able to find any built-in fields or operators that reveal the query window. by,top,topk,limit,timeslice,accum,diff,total,lookup,smooth,rollingstd,backshift,summarize,logreduce,logcompare. It isn’t quite as powerful as SQL but you can do a lot of analysis that would be difficult in simpler search tools.įrom time to time however it would be useful for a search to know the time window that it is working on. I like their service because they provide a powerful query language. Absolute time range for example, 1:00:00 PM to 2:00:00 PM. Otherwise, select the time range you want the scheduled search to be run on. Select the Last 24 Hours, to get a daily alert. Sumo Logic is a hosted log management solution. Indicates the time range your query will use to execute, which impacts the results generated by the query. The hacks described are no longer necessary. This post is left up for historical reference only. The result looks like: Now, it would also be interesting to see how the distribution changes over time. They also have queryStartTime() and queryEndTime() which provide the absolute timestamps for either end of the query window. Here we start with a search for stocktrade to get only the lines we are interested in, extract the response time using a regular expression, round it up to the next 100 millisecond, and count the occurrence of each number. Sumologic now providers the queryTimeRange() operator which provides the query window directly. This graph is designed to help identify if your Postgres database is CPU-bound.Accessing Query Window in Sumo Logic Kevin Cox / 2021 / 03 / 10 / Accessing Query Window in Sumo Logic Accessing Query Window in Sumo Logic 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.

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.

Some things to note with the implementations below: Sidekiq logs are available by default as standard application logs from worker dynos. Each ten-minute period produces its own column in the output table: Create a line chart to visualize the results. Heroku Postgres logs are available by default for Heroku Postgres Standard and Premium Tier databases. Using the multiple comparison feature, you can compare the number of logs against every ten minutes of the past hour: sourceHost prod. CPU, memory usage) are available if you enable the Heroku Labs log-runtime-metrics feature. Heroku runtime dyno performance logs (e.g. In order to build dashboards for these different areas, we first need to consider what kinds of logs Heroku makes available. To do this we are going to focus on a few key areas: Copy the new Access ID and Access Key as we need them. In the name put 'openreplay' and click on Create Key.

#Sumologic timeslice get oldest how to

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 How to integrate SumoLogic with OpenReplay and see backend errors alongside session recordings.

#Sumologic timeslice get oldest 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.