# What should development teams evaluate when choosing log monitoring to reduce debugging time and improve system reliability?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">We're choosing log monitoring mainly to cut debugging time and improve reliability, and want to know what actually matters when evaluating. What we're hoping to figure out:</p><ul>
<li>Whether it gets you from alert to root cause fast, not just more dashboards</li>
<li>How much instrumentation and tuning it really needs</li>
<li>Whether the cost stays sane as data volume grows</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">A few from the<a class="a a--md" elv="true" href="https://www.g2.com/categories/log-monitoring"> </a><a class="a a--md" elv="true" href="https://www.g2.com/categories/log-monitoring">log monitoring</a> category worth weighing:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/sentry/reviews"><strong>Sentry</strong></a>: reviewers credit real-time errors and stack traces with fixing issues quickly, though alert tuning takes time.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/grafana-labs/reviews"><strong>Grafana Labs</strong></a>: strong correlation across sources, with a PromQL learning curve to plan for.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/better-stack/reviews"><strong>Better Stack</strong></a>: fast alerting reviewers say catches issues before users notice, lighter on deep debugging.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/sumo-logic/reviews"><strong>Sumo Logic</strong></a>: centralized analytics reviewers say cut investigation time, with a query-language ramp.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For teams that reduced debugging time, what did you evaluate that actually predicted it? And what looked good in a demo but did not help day to day?</p>

##### Post Metadata
- Posted at: 8 days ago
- Author title: Marketer
- Net upvotes: 1


## Comments
### Comment 1

Sentry and Grafana are really solving two different halves of debugging, worth separating before comparing them on &quot;reduces debugging time&quot; as if they&#39;re interchangeable. Sentry tells you an error happened and roughly where in the code, error-detection and stack traces. Grafana&#39;s strength is correlating signals across sources to understand the broader system context around when something happened. A team whose actual bottleneck is &quot;finding out something broke in the first place&quot; would see a big time reduction from Sentry alone. A team whose bottleneck is &quot;understanding why, across a distributed system with multiple services involved&quot; would see a much smaller gain from Sentry alone, not because it&#39;s underperforming, but because that was never the half of the problem it was built to solve.

##### Comment Metadata
- Posted at: 5 days ago
- Author title: Tech Consultant





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