Sumo Logic Observability Reviews

Name: Sumo Logic Observability
Brand: Sumo Logic
Rating: 3.9 (6 reviews)

3.9 out of 5

6 reviews
100% willing to recommend

What is Sumo Logic Observability?

Sumo Logic Observability is widely used for log aggregation, analysis, and SIEM capabilities. It assists in monitoring data, creating dashboards, and managing log storage.

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Sumo Logic Observability is the #10 ranked solution in top AIOps solutions, #20 ranked solution in APM tools, and #21 ranked solution in top Cloud Monitoring Software. PeerSpot users give Sumo Logic Observability an average rating of 7.8 out of 10. Sumo Logic Observability is most commonly compared to Dynatrace: Sumo Logic Observability vs Dynatrace. Sumo Logic Observability is popular among the large enterprise segment, accounting for 70% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 18% of all views.

Buyer's Guide

Sumo Logic Observability

January 2025

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Helped 838,640 peers since 2012

Featured reviews

Shamshir Nangla

Site Reliability Engineer at LHV Bank

Operational effectiveness with regards to when there's an issue, when there's a reactive issue, people are able to, or as well as proactively, actually, because we use their PagerDuty integrations. We use queries in Sumo Logic to trigger alerts based on logging. That allows us to proactively identify issues as they're happening. With those same alerts, obviously, with that platform, you can use it to reactively start looking at troubleshooting issues as they're happening right then and there or incidents. So it's been very, very good for alerting and for troubleshooting issues. For predicting issues before they happen, it is not very good. They have a feature called anomaly detection, but I think it's quite premature compared to other stuff out there. So it's good for alerts and for troubleshooting operational effectiveness. When your operations are down or segregated, it's perfect because it will help you diagnose the issues.

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Ben Abrams

Software and Systems Engineer at Ben Abrams Consulting

We accumulate more systems, and they become more ephemeral. Consequently, this leads to an exponential increase in observability data. Therefore, it's crucial to continuously explore, employ, and refine techniques for efficiency in storage, querying, etc. These optimizations directly impact costs for both the vendor and the customer, particularly considering the exponential scale. Thus, cost management becomes paramount, with price per unit as a main factor. It's essential to strive for the lowest possible price per unit while maintaining the capabilities for innovative functionalities. One suggested improvement for Sumo Logic is implementing a more streamlined enrichment process, conceptualizing the observability data collection as an ETL pipeline. This would involve enhancing processing rules and FDR for a smoother experience, particularly when integrating with the SIEM product and performing further enrichments. Such enhancements would benefit security personnel and various other users, making enrichment a primary feature accessible to all.

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David Onuh

Senior Software Engineer at MentorMate

Alerting and consistency are key. We have different tiers with log collectors, and continuous querying provides near-real-time updates. It's almost like instantly when something happens, like pending transactions or error fees. This helps reduce incident resolution time compared to waiting for thresholds on other platforms. We can continue logging in with them seamlessly and quickly get into action. Another valuable feature is easy custom field creation in Sumo Logic. For example, recently, we had Sumo collect all our container tier load data. Containers can be expensive with heavy logging, so we only wanted important information there. We easily created custom fields without changing our applications because Sumo supported, I think, ten active logging applications at the time. These are heavy applications. Rerouting everything for that field change would have been difficult. So, configuring Sumo Logic, adding a new field, and having applications update that specific field was convenient. Sumo Logic automatically identified different logic categories for us.

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Sumo Logic Observability mindshare

Product category:

As of February 2025, the mindshare of Sumo Logic Observability in the Application Performance Monitoring (APM) and Observability category stands at 0.2%, up from 0.2% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability

PeerAnalyst reports

Type	Title	Date
Category	Application Performance Monitoring (APM) and Observability	Feb 21, 2025	Download
Product	Reviews, tips, and advice from real users	Feb 21, 2025	Download
Comparison	Sumo Logic Observability vs Datadog	Feb 21, 2025	Download
Comparison	Sumo Logic Observability vs Dynatrace	Feb 21, 2025	Download
Comparison	Sumo Logic Observability vs Splunk AppDynamics	Feb 21, 2025	Download

Title	Rating	Mindshare	Recommending
Dynatrace	4.4	11.0%	95%	345 interviews Add to research
New Relic	4.2	7.4%	94%	158 interviews Add to research

Valuable Features

Sumo Logic Observability features include well-crafted dashboards, diverse apps, easy custom field creation, centralized access control management, and rapid query performance. Its proprietary query language offers on-the-fly filtering, reducing incident resolution time with near-real-time updates. The platform's ability to unify disparate functions fosters team collaboration. It supports efficient log tracing and container load data management, enhancing operational efficiency.

"We use queries in Sumo Logic to trigger alerts based on logging. That allows us to proactively identify issues as they're happening."
"The product is easy to learn."
"The solution allows multiple groups to converge on a unified platform, allowing for different utilization by various teams."

Room for Improvement

Sumo Logic Observability requires easier handling of fine-grained data and better cost management for exponential data. Users suggest a streamlined enrichment process and conceptualizing the data collection as an ETL pipeline. They indicate the documentation could be more user-friendly, search functionality less clunky, and faster query speeds, especially for large datasets. Users also mention the need for better management of search tabs and a lack of pre-built dashboards.

"The speed of queries could be improved. When using more advanced functions, especially with large datasets like the 90-day log retention we had, queries could be slow, sometimes taking up to five minutes."
"Implementing a more streamlined enrichment process, and conceptualizing the observability data collection as an ETL pipeline would be helpful."
"SearchUI.exe is a bit clunky in the product, making it an area where the product needs improvements."

ROI

Users have noticed a significant enhancement in pinpointing issues swiftly, leading to quicker resolutions and reduced downtime with Sumo Logic Observability. They have experienced improved system performance monitoring and insightful data analytics, enabling better decision-making. Some users have mentioned a boost in operational efficiency due to the streamlined troubleshooting process. Businesses have benefited from comprehensive visibility into their infrastructure, facilitating proactive maintenance and cost savings by identifying potential problems before they escalate.

Pricing

Sumo Logic Observability offers pricing tiers based on data volume and features, catering to various enterprise needs. Users report that it provides flexible options, including free trials, with costs scalable according to usage. Businesses find it competitively priced compared to similar platforms. Additional features, such as predictive analytics and machine learning, may influence the final cost. Potential buyers appreciate the transparent pricing structure.

"Now, they’re not charging by ingests anymore. You should expect the price to be a bit of an unknown and to basically increase as the business increases."
"I started on the free tier to try it out, but because of our usage, we're now paying for it."

Popular Use Cases

Companies use Sumo Logic Observability for log aggregation and analysis, security information and event management (SIEM), general log storage, scheduled searches, and dashboarding. It helps developers search for errors, monitor data, and track transactions. Teams leverage dashboards for quick data analysis, manage significant requests, and debug customer-reported bugs with trace IDs. Integrating with security tools and automating processes are crucial for effective use.

Service and Support

Users rate Sumo Logic Observability's support highly. They find the team responsive, offering clear instructions and helpful community forums. Major issues like OpenTelemetry integration are effectively addressed. While some users haven't needed to contact support, others appreciate the assistance with initial installations and upgrades. Tools provided are sufficient, with advanced needs also covered.

Deployment

Sumo Logic Observability's setup is straightforward and easy. AWS users appreciate the log gateway integration and credentials addition. Setting up collectors for various logs requires specific formats but isn't difficult. Initial cloud deployment is seamless. Kubernetes beginners may find it time-consuming, but experts find it simple. A Helm chart deployment with API key configuration ensures quick installation. Setting up collectors for different log types may need more tweaking, but initial installation is quick.

Scalability

Sumo Logic Observability is highly scalable, handling peak loads seamlessly. It supports large user bases without issues, with one part of an organization having around 60 users split between technical and non-technical roles. As a SaaS, it requires minimal effort to scale, needing only sufficient resources for log transmission. Scaling up is straightforward, evidenced by its ability to process millions of records efficiently.

Stability

Users report that Sumo Logic Observability is very stable, rating its stability a ten out of ten. They have not encountered any issues, outages, or problems. The platform is described as enterprise-grade and suitable for internal business users.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Sumo Logic Observability Buyer's Guide for additional reliable information.

Top industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

15%

Manufacturing Company

11%

Transportation Company

Retailer

Legal Firm

Energy/Utilities Company

Healthcare Company

Construction Company

Media Company

Comms Service Provider

Educational Organization

Outsourcing Company

Real Estate/Law Firm

Wellness & Fitness Company

Pharma/Biotech Company

Wholesaler/Distributor

Recreational Facilities/Services Company

Insurance Company

Security Firm

Government

Consumer Goods Company

Logistics Company

Non Profit

Compare Sumo Logic Observability with alternative products

Learn more about Sumo Logic Observability

Sumo Logic Observability helps teams with logging in production, debugging with trace IDs, and performing queries across large datasets. Developers leverage centralized logs for error detection and tracking metrics like successful transactions and data volume. Security teams integrate it with SOAR systems for automation and enhanced security investigations.

What are the key features?

Well-crafted dashboards: Provides visually appealing and easy-to-use dashboards.
Diverse apps: Supports multiple applications for various use cases.
Centralized management: Enables streamlined log management from a unified platform.
Near-real-time alerting: Facilitates quick incident resolution with timely notifications.
Continuous querying: Allows for constant data analysis without interruptions.
Proprietary query language: Offers a robust and flexible language for complex queries.
Custom field creation: Simplifies addition of custom fields for better data categorization.
Robust data tracing: Ensures effective log tracing for efficient debugging and analysis.

What benefits or ROI should users look for?

Improved error detection: Helps quickly identify and address errors in production.
Enhanced security: Integrates with SOAR for better security automation and investigation.
Efficient log management: Centralizes log storage and management, simplifying processes.
Timely incident resolution: Near-real-time alerts and continuous queries lead to faster issue resolution.
Customizable to user needs: Offers flexibility with custom fields and a proprietary query language.

Industries like finance, healthcare, and technology implement Sumo Logic Observability to monitor sensitive data, manage high transaction volumes, and ensure compliance with regulatory standards. Security and development teams benefit from its robust capabilities, enabling effective collaboration and streamlined operations.