### Contents

- [**Articles**](#resources-articles)
- [**Glossary Terms**](#resources-glossary_terms)
- [**Discussions**](#resources-discussions)
- [**Reports**](#resources-reports)

# Log Analysis Software Resources

##### Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Log Analysis Software

Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find [articles](#resources-articles) from our experts, [feature definitions](#resources-glossary_terms), [discussions](#resources-discussions) from users like you, and [reports](#resources-reports) from industry data.

[ContentsExpand/Collapse Contents](#)
- [**Articles**](#resources-articles)
- [**Glossary Terms**](#resources-glossary_terms)
- [**Discussions**](#resources-discussions)
- [**Reports**](#resources-reports)

## Log Analysis Software Articles

[![2023 Trends in DevSecOps Software](https://learn.g2.com/hubfs/2023%20trends%20in%20DevSecOps.png "2023 Trends in DevSecOps Software")](https://www.g2.com/articles/devsecops-software-trends-2023)

[
### 2023 Trends in DevSecOps Software
](https://www.g2.com/articles/devsecops-software-trends-2023)
This post is part of G2's 2023 digital trends series. Read more about G2’s perspective on digital transformation trends in an introduction from Emily Malis Greathouse, director, market research, and additional coverage on trends identified by G2’s analysts.

[
 ![Adam Crivello](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Adam Crivello")
AC

](https://learn.g2.com/author/adam-crivello)

by Adam Crivello

## Log Analysis Software Glossary Terms

[![AIOps](https://learn.g2.com/hubfs/G2CM_GI755_Glossary_Article_Images-%5BAIOps%5D_V1b.png "AIOps")](https://www.g2.com/glossary/aiops-definition)

[AIOps](https://www.g2.com/glossary/aiops-definition)

AIOps applies artificial intelligence (AI) to speed up operational workflows. Learn more about its benefits, stages, and key features of an AIOps platform.

by Sagar Joshi

[![Log Management](https://learn.g2.com/hubfs/G2CM_GI767_Glossary_Article_Image_%5BLog_Management%5D_V1a.png "Log Management")](https://www.g2.com/glossary/log-management-definition)

[Log Management](https://www.g2.com/glossary/log-management-definition)

Businesses leverage log management to collect and analyze data from systems, applications, and devices. Know the best practices for log management.

by Alyssa Towns

[![Log Analysis](https://learn.g2.com/hubfs/G2CM_GI618_Glossary_Article_Images_%5Blog_analysis%5D_V1b.png "Log Analysis")](https://www.g2.com/glossary/log-analysis-definition)

[Log Analysis](https://www.g2.com/glossary/log-analysis-definition)

Log analysis comprises reviewing, analyzing, and comprehending computer-generated documents. Learn how to run a log analysis, its benefits, and techniques.

by Sagar Joshi

## Log Analysis Software Discussions

0

Question on: Sentry
[What platforms does Sentry support?](/discussions/what-platforms-does-sentry-support)

_We have a pretty mixed stack, web frontend, a couple of backend services, and a mobile app. Before we commit to Sentry, I want to make sure it actually supports everything we're running without needing separate configurations for each._

Sentry supports all three of those layers with official, first-party SDKs. No separate tools or vendors needed. Web frontend: SDKs for JavaScript, React, Angular, Vue, Svelte, and more. You get error monitoring, performance tracing, and session replays, among many other things. Backend services: First-party SDKs for Python, Node.js, Java, Go, Ruby, .NET, PHP (including Laravel), and others. Each includes error monitoring, performance tracing, and profiling. Mobile: SDKs for native iOS (Swift/Obj-C), native Android (Kotlin/Java), React Native, Flutter, and Kotlin Multiplatform. Mobile SDKs also include session replay. The part that matters for a mixed stack: Sentry's distributed tracing connects requests across all of these services automatically. A trace that starts in your mobile app or browser flows through your backend services, so you see the full picture in one place. With current SDK versions, this works without any custom wiring. It also supports desktop apps and gaming engines. You don't need separate setups for each part of your stack. On the organization side, you'd create a Sentry project per service or platform (one for your React frontend, one for your Python API, one for your iOS app). They all live under one org with shared dashboards that span across projects. One place for everything. Full list of supported platforms: https://docs.sentry.io/platforms/ 

Answered: Anton Bjorkman on June 3, 2026

[Your answer](/discussions/what-platforms-does-sentry-support/comments/new?remote=true)

0

Question on: Sentry
[Is Sentry good for APM?](/discussions/is-sentry-good-for-apm)

_We're evaluating APM tools and Sentry keeps coming up. We already use it for error tracking, but I'm wondering if it's worth using for performance monitoring too, or if we'd be better off with a dedicated APM tool._

Sentry covers the core APM use cases: distributed tracing across services, transaction-level performance monitoring with P50/P75/P95/P99 breakdowns, and alerts when things regress. If you're already using it for errors, the biggest win is that errors and slow transactions share the same trace, so you're not jumping between tools to figure out what happened. It also tracks slow database queries and surfaces N+1 issues automatically, monitors web vitals like LCP, CLS, and INP tied back to specific code, and does continuous profiling so you can see function-level performance data, not just spans. Sentry focuses on the application layer, so everything it surfaces is directly tied to your code. For most teams already using Sentry for errors, turning on performance is a straightforward call. You get meaningful APM coverage without adding another vendor, and the shared context between errors and traces is genuinely useful.

Answered: Anton Bjorkman on June 16, 2026

[Your answer](/discussions/is-sentry-good-for-apm/comments/new?remote=true)

0

Question on: Sentry
[What is Seer?](/discussions/what-is-seer)

_I've seen Seer mentioned a few times while looking into Sentry but I'm not totally clear on what it is or what it does. Is it just an AI chatbot?_

Seer is Sentry's AI debugging agent, not a chatbot. It uses the data Sentry already collects (stack traces, logs, traces, profiles) to figure out why something broke, identify the root cause in your code, and suggest a fix or open a pull request. You control how far it goes: just root cause analysis, a solution plan, or a full PR. It also reviews your pull requests in GitHub before you merge, flagging potential bugs based on your error patterns. Seer works across all the languages and frameworks Sentry supports, and you can configure how much autonomy it gets per project. Check out Seer's full capabilities here: https://docs.sentry.io/product/ai-in-sentry/seer/ 

Answered: Anton Bjorkman on June 3, 2026

[Your answer](/discussions/what-is-seer/comments/new?remote=true)

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## Log Analysis Software Reports

Mid-Market Grid® Report for Log Analysis

Summer 2026

G2 Report: Grid® Report

Grid® Report for Log Analysis

Summer 2026

G2 Report: Grid® Report

Enterprise Grid® Report for Log Analysis

Summer 2026

G2 Report: Grid® Report

Momentum Grid® Report for Log Analysis

Summer 2026

G2 Report: Momentum Grid® Report

Small-Business Grid® Report for Log Analysis

Summer 2026

G2 Report: Grid® Report

Enterprise Grid® Report for Log Analysis

Spring 2026

G2 Report: Grid® Report

Small-Business Grid® Report for Log Analysis

Spring 2026

G2 Report: Grid® Report

Mid-Market Grid® Report for Log Analysis

Spring 2026

G2 Report: Grid® Report

Grid® Report for Log Analysis

Spring 2026

G2 Report: Grid® Report

Momentum Grid® Report for Log Analysis

Spring 2026

G2 Report: Momentum Grid® Report