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nate-double-uiamNoah1hlipsigOkabe-Junya
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[EN] update Service Mesh (#3511)
Signed-off-by: Animesh Pathak <[email protected]> Co-authored-by: Nate W <[email protected]> Co-authored-by: Noah Ispas <[email protected]> Co-authored-by: Hilliary Lipsig <[email protected]> Co-authored-by: Junya Okabe <[email protected]>
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content/en/service-mesh.md

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@@ -26,3 +26,19 @@ Service meshes add reliability, observability, and security features
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uniformly across all services across a cluster without requiring code changes.
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Before service meshes, that functionality had to be encoded into every single service,
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becoming a potential source of bugs and technical debt.
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The [Sidecar Container](/sidecar-container/) model pairs each [pod](/pod/) with a proxy.
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This per-pod proxy intercepts and manages network traffic,
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enforces security policies, balances workloads,
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and collects performance data for each service.
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While this approach offers excellent control and service-specific traffic management,
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it also uses more computing resources and becomes more complex to manage as your system grows.
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A **Sidecarless** design, on the other hand,
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moves the aforementioned mesh functionality to the operating system level by using kernel features like [eBPF](/ebpf/).
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By doing away with per-pod proxies,
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this method drastically reduces resource usage and removes unnecessary network hops,
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which lowers latency and boosts performance.
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Because overhead remains constant regardless of pod count and there are fewer agents to deploy,
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teams benefit from simplified operations and linear scalability as workload increases.
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wordlist.txt

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@@ -188,6 +188,7 @@ seo
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seokho
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serverless
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sexualized
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sidecarless
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signup
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signups
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skipenes

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