Ethereum

Validator Performance and Risk: A Guide for Institutional Ethereum Stakers

Reza Sabernia
Senior Product Manager
Published
July 11, 2025

As Ethereum cements its role in decentralized finance, staking has become a critical pillar of the ecosystem. Institutional stakers understand it’s not just a black box for earning rewards, and success depends on operational excellence: how node operators monitor performance, manage risk, and optimize rewards.

This article explores a high-level view of what separates average validators from high performers, offering a behind-the-scenes look at the principles, practices, and trade-offs that power world-class operations like those at Figment.

Strategic Validator Performance Optimization

Ethereum validators earn rewards primarily from two sources:

• Consensus duties such as voting on the state of the network
• Block proposals by proposing new blocks to be added to the chain

Optimizing performance across both duties requires robust infrastructure, protocol-level insight, and a disciplined approach to reliability, monitoring, and risk mitigation. Let’s explore how these components work together to deliver best-in-class validator performance.

Optimizing the Consensus Duties

The consensus duties include activities such as validators attesting to blocks and the state of Ethereum network, and finalizing blocks. These are core actions that uphold the network’s security and integrity. For institutional stakers, participation and performance here directly affects rewards. This is critical given that approximately 80% of a validator’s earnings come from the consensus duties.

• Consistency Pays Off: Attestation duties occur 225 times per day during which each validator confirms the recent activities of the network. While each missed attestation only rewards negligible losses, over time, consistent performance has a compounding effect on total rewards.

• Prioritize Safety Over Liveness: Some node operators strive for 100% uptime and attestation duties through aggressive failover setups (e.g. redundant validators across regions or data centers). While this may reduce downtime, it significantly increases the risk of double-signing, an action that results in slashing and significant loss of customer assets. The best teams choose safety over always being online, accepting small losses for short-term inactivity to avoid larger penalties due to slashing.

• Avoiding single point of failure: Forking (modifying) battle-tested open-source software introduces significant risks, including the potential creation of a single point of failure. In the event of security vulnerabilities or critical bugs, resilience and agility in adopting upstream fixes are essential. Replacing battle-tested software with thinly-tested modified versions could erode this resilience and agility, weakening risk mitigation, and increasing risk of slashing.

Optimizing Block Proposals

On average, each validator is randomly selected to propose a block 2.6 times in a year. Block proposals earn validators rewards such as priority fees and MEV (Maximal Extractable Value), all of which can significantly enhance staking performance when properly captured through optimized infrastructure and relay strategies.

• Making the Most of Block Proposals: Validators only get a few chances to propose blocks per year. Each opportunity is valuable. Rewards vary depending on network activity and the ability to capture MEV, which is extra rewards from choosing the most profitable block.

• Leveraging MEV-Boost: Over 90% of operators use MEV-Boost, a tool that delegates block building to external specialists – called builders. These builders compete in auctions to submit their bids through relays, and the validator picks the highest bid and earns the reward. These rewards are typically much higher by an order of magnitude of the default behavior for building blocks locally.

• Choosing the Right Relays: Relays connect a validator to builders to receive their bids. Not all relays are created equal. Some are fast, reliable, and compliant; others are slow or risky. For example, using a relay that includes transactions from sanctioned addresses could expose the validator to regulatory risks. That’s why leading node operators use data such as win rates, latency, reliability, and regulatory compliance to choose the most suitable relays.

• Every Millisecond Counts: In block building milliseconds matter. If it takes too long – more than 4 seconds – to deliver the block, the validator could miss the slot and its rewards. Sophisticated node operators minimize this risk by colocating with relays and builders as well as optimizing their infrastructure to reduce unintended latency.

• Latency as a Strategic Advantage: Some sophisticated node operators use latency as a strategy called timing games: instead of proposing a block instantly, they wait a safe fraction of the allowed time to let builders maximize the block value by putting more valuable transactions. When done well, this boosts block building rewards without increasing the risk of missing the slot.

Consensus and Execution Client Strategy

Validator performance and reliability depend heavily on the software clients operators use. Careful choices here reduce operational risk and protect staker rewards.

• Client Pairing: To run a validator, node operators run two pieces of software: a consensus client for validator duties such as voting (aka attestations) and an execution client for executing transactions and updating the state. Leading node operators test and select the most reliable, high-performance client combination to optimize rewards and minimize downtime.

• Avoiding Single Points of Failure: Relying on a single client pair creates risk. A bug or crash in the pair could take the entire validators offline. That is why best-in-class node operators diversify across client pairs, ensuring if one pair suffers a bug or outage, others can seamlessly take over and keep validators running.

• Monitoring Super Majority Risk: When a single consensus or execution client is used by more than two-thirds of the network, it creates a supermajority risk. A bug in that client can halt Ethereum network and trigger massive penalties due to inactivity leaks, endangering customer assets.

Even the best-performing client doesn’t justify this level of risk. It should be noted that seamless failover does not protect in this scenario. That is why responsible node operators avoid utilizing supermajority clients to safeguard customer assets.

Best practices For Validator Operations include:

Maintaining high-performance validators requires strong processes, coordination, and continuous improvement. The following practices show how leading operators consistently deliver secure, reliable, and optimized staking rewards.

• Observability and Benchmarking: Even the best internal systems are not enough without external comparisons. A sudden drop in performance could be due to internal operations or network-wide issues. The only way to know is to benchmark against a broader network.

• Performance Monitoring: Ethereum’s complexity demands rigorous oversight. Top-tier node operators track key performance metrics to ensure everything runs smoothly. For example, validator “voting” includes three categories – head, target, and source – each of which must be both accurate and timely to earn rewards.

They benchmark results against both the broader network and their own historical data to detect issues early and maintain peak performance.

• Stress Testing and Controlled Rollouts: High-performing node operators understand the limits of their operations. They rigorously stress test changes in safe environments like testnets before production deployment. Rollouts to production follow a controlled approach. Starting with a small subset of validators (e.g., 1%), expanding to 10%, then deploying broadly, while watching closely at each stage and ready to reverse if needed.

Final Thoughts

Validator operations on Ethereum aren’t just about being online. They’re about delivering secure, consistent, and risk-adjusted rewards for institutions that entrust significant capital to staking.

At Figment, we combine deep protocol insight with operational rigor, ensuring that every validator we run is optimized for long-term institutional performance, not just short-term wins. Our track record speaks for itself, built on a foundation of reliability, compliance, and performance transparency.

As Ethereum continues to evolve, institutions need a staking partner that not only understands the network’s complexity but actively helps shape its future. Whether you’re staking directly, through a custodian, or integrating staking into a product, Figment provides the infrastructure and expertise to help you earn stronger, safer ETH staking rewards.