# What application release orchestration platforms work best for a platform engineering team standardizing deployment pipelines across 50 or more microservices at once?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Hoping to get a read from the people who review and research this space. My dilemma restated plainly: a platform engineering team wants one standard way to deploy, applied across 50 or more microservices, instead of 50 slightly different pipelines each drifting its own way. Which platform will work best for this case?</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">As I’m looking through the<a class="a a--md" elv="true" href="https://www.g2.com/categories/application-release-orchestration"> </a><a class="a a--md" elv="true" href="https://www.g2.com/categories/application-release-orchestration">application release orchestration</a> category, three names keep surfacing, each with a different take on standardization:<a class="a a--md" elv="true" href="https://www.g2.com/products/gitlab/reviews"> </a><a class="a a--md" elv="true" href="https://www.g2.com/products/gitlab/reviews"><strong>GitLab</strong></a>,<a class="a a--md" elv="true" href="https://www.g2.com/products/azure-pipelines/reviews"> </a><a class="a a--md" elv="true" href="https://www.g2.com/products/azure-pipelines/reviews"><strong>Azure Pipelines</strong></a>, and<a class="a a--md" elv="true" href="https://www.g2.com/products/octopus-deploy/reviews"> </a><a class="a a--md" elv="true" href="https://www.g2.com/products/octopus-deploy/reviews"><strong>Octopus Deploy</strong></a>.</p><ul>
<li>
<strong>GitLab</strong>: its catalog of reusable pipeline components works like a package registry for CI config. One team maintains the building blocks, every service consumes them with version numbers.</li>
<li>
<strong>Azure Pipelines</strong>: YAML templates that a central team can enforce, so every pipeline keeps the same shape. Powerful, though the template syntax gets hairy at depth.</li>
<li>
<strong>Octopus Deploy</strong>: its process templates were built for exactly this, one shared source of deployment truth where app teams fill in the blanks instead of writing pipelines. It covers the deployment side only, so CI stays your problem.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">On what basis would you shortlist one at this scale, and what would make you rule one out fast?</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p>

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


## Comments
### Comment 1

&lt;p&gt;GitLab gets ruled out fastest when the platform team wants to enforce standards rather than offer them. G2 reviewers describe the pipeline catalog as powerful but opt-in, meaning individual service teams can still diverge, which defeats the standardization goal.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;

##### Comment Metadata
- Posted at: 12 days ago
- Author title: Marketing Executive





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