# How are DevOps engineers and software developers adopting log monitoring tools for production systems?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">I'm researching how DevOps engineers and software developers actually adopt log monitoring tools for production systems, and wanted reviews behind it. In 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, three come up most: Datadog, New Relic, and Grafana Labs. The wider list:</p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/datadog/reviews"><strong>Datadog</strong></a>: reviewers install the agent fast and lean on prebuilt dashboards to cover the stack quickly.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/new-relic/reviews"><strong>New Relic</strong></a>: quick agent setup for basic metrics, though reviewers say NRQL takes time to learn.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/grafana-labs/reviews"><strong>Grafana Labs</strong></a>: teams adopt it as a single pane across existing data sources, with a PromQL learning curve.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/sumo-logic/reviews"><strong>Sumo Logic</strong></a>: adopted for centralized log analytics, though onboarding new data sources can take time.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/dynatrace/reviews"><strong>Dynatrace</strong></a>: OneAgent install reviewers call straightforward, giving deep insight fast.</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 production adoption, what actually got your team using the tool daily? And where did adoption stall, query languages, dashboards, or cost?</p>

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


## Comments
### Comment 1

&lt;p&gt;Prebuilt dashboards probably help tools like Datadog get through the first adoption hurdle, but daily usage usually starts when logs become part of incident investigation. Once engineers instinctively open the platform when something breaks, adoption has really happened. For teams using these tools daily, was alerting, troubleshooting, or dashboarding the workflow that made the platform stick?&lt;/p&gt;

##### Comment Metadata
- Posted at: 15 days ago
- Author title: Writer





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