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Flexibility, rapid iteration
What do you like best about the product?
Sumologic provides flexibility to dump logs from our existing log modules and get the data directly to sumologic. We can have data in tags etc.
What do you dislike about the product?
Not much to say here. There are no bugs we report. Only issue is related to how large data you dump.
What problems is the product solving and how is that benefiting you?
debugging errors and alerts based on what we have
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Flexible Log Analytics Power Tool
What do you like best about the product?
Time to market:
- Because Sumologic is a SAAS product, I don't need to run an ELK stack or manage any logging / storage infrastructure.
- Because Sumologic is a supported product, I have full access to a team of engineers who wrote the software and to customer success engineers to help leverage the all the features and debug mistakes
- Because Sumologic stores the raw logs, I can always refine and clean up the data in ad-hoc queries over historical data
- Because of the flexible query language, I can iterate on a data pipeline in minutes instead of hours or days (I'm looking at you DataFlow)
Taken as a whole, these features make it possible to quickly build out and iterate on complex log data.
Because Sumologic holds the raw logs (not just metrics), its always possible to clean the data in a way that would not be possible using only
- Because Sumologic is a SAAS product, I don't need to run an ELK stack or manage any logging / storage infrastructure.
- Because Sumologic is a supported product, I have full access to a team of engineers who wrote the software and to customer success engineers to help leverage the all the features and debug mistakes
- Because Sumologic stores the raw logs, I can always refine and clean up the data in ad-hoc queries over historical data
- Because of the flexible query language, I can iterate on a data pipeline in minutes instead of hours or days (I'm looking at you DataFlow)
Taken as a whole, these features make it possible to quickly build out and iterate on complex log data.
Because Sumologic holds the raw logs (not just metrics), its always possible to clean the data in a way that would not be possible using only
What do you dislike about the product?
- Enriching the data is somewhat hard
- Under load the UI is not as responsive as I would like
- Exporting the enriched data is somewhat hard
- For my use case, its very difficult to make reusable portions of queries that are shared by many searches / dashboard panels
- The tradeoff with log analysis tools like Sumo and others versus metric-based data is that complex queries take more time. This isn't a Sumologic problem, its just the downside of the flexibility that comes with log in general
- For large scale projects , care must be taken to stay within the various limits -- though compared to other tools like OpenTSDB Sumologic is much less limited
- Under load the UI is not as responsive as I would like
- Exporting the enriched data is somewhat hard
- For my use case, its very difficult to make reusable portions of queries that are shared by many searches / dashboard panels
- The tradeoff with log analysis tools like Sumo and others versus metric-based data is that complex queries take more time. This isn't a Sumologic problem, its just the downside of the flexibility that comes with log in general
- For large scale projects , care must be taken to stay within the various limits -- though compared to other tools like OpenTSDB Sumologic is much less limited
What problems is the product solving and how is that benefiting you?
Overall business objective: Detection and understand root causes of problems with network traffic for online video.
Benefits:
- Faster time to market
- Reduced maintenance
- Customer support
- Domain expertise
- Fast Iteration
Benefits:
- Faster time to market
- Reduced maintenance
- Customer support
- Domain expertise
- Fast Iteration
Recommendations to others considering the product:
Think about total cost of ownership before choosing either an open source product (like OpenTSDB, ELK, Graylog, or InfluxDB). In particular, estimate:
* Capacity Planning -- what load will monitoring analytics solution need to handle at peak? Do you have staff with experience scaling out that platform to that scale? Are the scaling characteristics of this product at that scale well understood?
* Data ingest costs in your preferred cloud / on-premise hosting solution and how much infrastructure you'll need to ingest that data.
* Support Contracts -- How much will a support contract cost to help you get unstuck quickly?
* Time to build out an MVP -- will you need to manage lots of infrastructure yourself? Can you leverage an in-house operational team that will immediately prioritize your project above other work? (In many cases, in house teams are already over-committed in my experience)
* Familiarity with the Data -- if you already understand the data well (from working with it in a different product for example), you may not need the flexibility of Sumologic
* Cycle Time - How long will it take to make a single small change to your MVP? Minutes or days? Whats your dead line to having an acceptable version in production?
In short, if you are cash rich and time poor but need to iterate and scale rapidly, look at a SAAS offering like Splunk, Sumologic, or Elastic. In many cases, Sumologic will actually win on price over the offerings and for me, I've seen Sumologic perform well at high scale.
If you are time rich and cash poor or already understand your dataset / problem domain well AND you don't expect to scale out your system significant in the next 2 to 5 years, you might be able to save money by oeprating an open source product in house. However, you will almost certain pay with your development and maintenance time.
* Capacity Planning -- what load will monitoring analytics solution need to handle at peak? Do you have staff with experience scaling out that platform to that scale? Are the scaling characteristics of this product at that scale well understood?
* Data ingest costs in your preferred cloud / on-premise hosting solution and how much infrastructure you'll need to ingest that data.
* Support Contracts -- How much will a support contract cost to help you get unstuck quickly?
* Time to build out an MVP -- will you need to manage lots of infrastructure yourself? Can you leverage an in-house operational team that will immediately prioritize your project above other work? (In many cases, in house teams are already over-committed in my experience)
* Familiarity with the Data -- if you already understand the data well (from working with it in a different product for example), you may not need the flexibility of Sumologic
* Cycle Time - How long will it take to make a single small change to your MVP? Minutes or days? Whats your dead line to having an acceptable version in production?
In short, if you are cash rich and time poor but need to iterate and scale rapidly, look at a SAAS offering like Splunk, Sumologic, or Elastic. In many cases, Sumologic will actually win on price over the offerings and for me, I've seen Sumologic perform well at high scale.
If you are time rich and cash poor or already understand your dataset / problem domain well AND you don't expect to scale out your system significant in the next 2 to 5 years, you might be able to save money by oeprating an open source product in house. However, you will almost certain pay with your development and maintenance time.
Power log aggregation and analysis tool
What do you like best about the product?
I like being able to easily search and correlate data across all our various log files. The query functionality is quite advanced compared to what is available when grepping log files at the command line.
What do you dislike about the product?
It's never going to be as performant as searching fully structured/indexed data. We also have had issues bumping up against our ingress limitations (we have a lot of logs).
What problems is the product solving and how is that benefiting you?
We use sumologic to do investigation during production outages as well as longer-term analysis during product launches (performance monitoring, etc). Using logs to drive dashboards can be challenging to set up but once you do, you not only have a nice high-level dashboard, you can dig in to the low-level details that you're putting into your logs.
Data collection and analysis
What do you like best about the product?
The team behind the product. This support and engineering teams were very helpful and used there knowledge of product to build out some useful dashboards
What do you dislike about the product?
live mode reliability. Often live mode would not stay in continuous mode and i would have to refresh the page to get updated information. I also noticed that there were login issues a few times over the course of a 6 month trial 100% uptime is key to having a successful producct
What problems is the product solving and how is that benefiting you?
real time analysis of the cdn and component involved in our pipelines. We did have to rely on other systems at time due to delays but setting up and not having to admin the infrastructure was helpful.
Recommendations to others considering the product:
I would recommend working with vendors services as there is often issues related to search api and dashboard issues that could not be resolved on user side.
New Customer Experience
What do you like best about the product?
The flexibility to collect audit logs from any environment (on-premise or third-party cloud platforms)
What do you dislike about the product?
Some minor limitations in the geolocation maps that do not allow you to drill into the supoorting logs through direct interaction with the map. In other words, you cannot click on map icons to narrow your log search results.
What problems is the product solving and how is that benefiting you?
Low cost and ease of implimentation are high points. Non on-prem SIEM infrastructure to support.
Recommendations to others considering the product:
Consider the hidden costs of on-site hardware resources associated with on-site solutions.
Sumo logic is a multi dimensional tool that helps performance monitoring as well
What do you like best about the product?
Dashboards for one view monitoring of various app services
What do you dislike about the product?
Sometime loading the data takes times if the duration of the logs is longer
What problems is the product solving and how is that benefiting you?
Performance problems and production monitoring
Sumo Logic user
What do you like best about the product?
Sumo Logic is a wonderful that allows us to customize searches and alerts. it has support for a vast number services to ingest logs from
What do you dislike about the product?
There is no MacOS application similar to the Windows and Linux one
What problems is the product solving and how is that benefiting you?
Siem and centralized logging tool. We have been able to aggregate logs from multiple sources and set up alerting based on the sources of the logs
Meets the expectations for logging and alert management
What do you like best about the product?
Ease of selecting the functions like parse and regular expressions and the online content is very informative although it can be improved
What do you dislike about the product?
compared to Splunk agility is less and query time is more.
What problems is the product solving and how is that benefiting you?
Everyday logging and scheduling alerts
Love the quer
What do you like best about the product?
I've found the query language pleasant to use and fairly powerful. Being able to save queries into dashboards, and get periodic email alerts is also really useful.
What do you dislike about the product?
Complex queries (like joins) are very slow. Learning curve is a little steep for query language, hard to find documentation for how to do something new.
What problems is the product solving and how is that benefiting you?
Having a central location for logs from our cloud distributed components, along with a powerful query language has been key in being able to quickly diagnose system issues and reach internal activity.
Nice tool for log analysis
What do you like best about the product?
Custom Query parser and, searching capabilities. Date filters, custom date filters.
Hidden fields feature is best. Live log search is awesome
Hidden fields feature is best. Live log search is awesome
What do you dislike about the product?
Email Alert triggering misses some times. Switching between two accounts required logging out and logging again, this is some times very frustrating.
What problems is the product solving and how is that benefiting you?
We analyze production logs.
Easy to identify issues with search capabilities
Easy to identify issues with search capabilities
Recommendations to others considering the product:
You can go head and use awesome Sumologic
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