# Which log monitoring platforms require significant tuning to manage alert noise at scale?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Honest question for teams running these at scale: which log monitoring platforms need significant tuning to keep alert noise under control? I'd rather know before the pager goes off constantly, and reviews are candid here. 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:</p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/datadog/reviews"><strong>Datadog</strong></a>: reviewers say some alerts need fine-tuning to avoid alert fatigue. How much tuning did it take to quiet the noise?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/new-relic/reviews"><strong>New Relic</strong></a>: reviewers note out-of-the-box policies fire too often and correlation misses groupings. Did you have to rebuild the alerting?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/splunk-enterprise/reviews"><strong>Splunk Enterprise</strong></a>: powerful but reviewers say it needs real expertise to configure well. Did tuning need formal training?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/sumo-logic/reviews"><strong>Sumo Logic</strong></a>: strong analytics, though the query language and setup carry a learning curve. Did tuning alerts get easier over time?</li>
</ol><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For teams at scale, which took the most tuning to manage noise? And what actually reduced the false alerts, better rules, correlation, or AI grouping?</p>

##### Post Metadata
- Posted at: 16 days ago
- Author title: Marketer
- Net upvotes: 1


## Comments
### Comment 1

In my experience correlation tends to do more of the heavy lifting than people expect once a system is tuned properly, grouping related alerts together cuts down on noise faster than rewriting individual rules one at a time. Getting that right early tends to pay off more than most teams initially budget time for.

##### Comment Metadata
- Posted at: 8 days ago
- Author title: Marketing Executive





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