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GossipSub

Key metrics on the Optimism pubsub network

Analyze network structure, peer distribution, client diversity, and connection patterns across the Optimism network.

Bandwidth

Bandwidth consumption breakdown per direction and message type

Inbound Outbound Bandwidth Usage

Inbound Outbound Bandwidth Usage

Tracks the directional flow of network traffic through the GossipSub protocol, showing both inbound and outbound bandwidth usage measured in kilobytes per second. Data is aggregated in 5-minute intervals to provide a clear view of network communication patterns. This helps identify peak usage periods, network congestion, and the balance between data consumption and production across the Optimism network.

Bandwidth Usage in Kilobytes/s agg. in 5m intervals

Bandwidth Usage by Message Type

Bandwidth Usage by Message Type

Breaks down GossipSub bandwidth usage by message type, showing how different kinds of network messages (blocks, transactions, metadata, etc.) contribute to overall network traffic. This analysis helps identify which message types consume the most bandwidth and reveals communication patterns within the Optimism network. Use the direction filter to focus on inbound or outbound traffic specifically.

Insights into the share of each messages bandwidth consumption

Bandwidth Usage Distribution

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Control Messages

Control message distribution over time for each topic.

Control RPCs Received by GossipSub

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Control Messages Received by GossipSub

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Duplicates

Duplicate message statistics per topic, geographic distribution and client implementation

Duplicates Received by GossipSub peers

Total number of duplicates received by our node over time.

Duplicates Per Topic CDF

Duplicates Per Topic CDF

This graph shows the cumulative distribution function of the number of duplicate messages per topic during the given day. When you hove over the graph, the number of samples represent the number of unique messages, identified by their message IDs, that were received during that day. The point on the x-axis show show often we have received the same message and the y-axis shows where this message falls in the overall distribution of received duplicates.

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Time to First Duplicate

CDF of how long it took for the first duplicate to arrive.

Duplicate Message Sizes Per Topic CDF

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Msg Size / Count Correlation

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Related Work

Blog posts, papers and talks by the ProbeLab team about Optimism.

SIGMETRICS '26 Conference Paper
Paper

Multiple Sides of 36 Coins: Measuring Peer-to-Peer Infrastructure Across Cryptocurrencies

Blockchain technologies underpin an expanding ecosystem of decentralized applications, financial systems, and infrastructure. However, the fundamental networking layer that sustains these systems, the peer-to-peer (P2P) …

Optimism Blog Hero
Blog post

Insights into Optimism’s Chain Composition [Repeated]

We're looking into how the Superchain has evolved during the last five months.

Optimism Blog Hero
Blog post

Insights into Optimism’s Chain Composition

Read on to find out which are the biggest chains building on Optimism and their characteristics.