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Start planning for a world in which UTC no longer receives routine leap-second insertions, but do not plan around a fixed cutover date: the 2022 CGPM decision sets a goal of allowing a larger UT1–UTC difference in or before 2035, while the operational schedule is still unspecified. Inventory every time source, choose one documented synchronization policy per trust domain, separate monotonic timing from UTC display time, and test your entire data path—including PostgreSQL—against stepped, repeated, skipped and smeared seconds.
What the end of leap seconds actually changes
UTC currently uses leap seconds to keep the difference between Earth-rotation time (UT1) and UTC within plus or minus 0.9 seconds. In the traditional positive-leap sequence, the final minute is represented as 23:59:59, 23:59:60, then 00:00:00. The National Institute of Standards and Technology (NIST) documents this purpose and sequence.
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In 2022, the General Conference on Weights and Measures (CGPM), in a decision recognized in International Telecommunication Union (ITU) material, called for increasing the maximum permitted UT1–UTC difference in or before 2035 and ending routine leap-second insertion over the longer term. The sources do not specify the final deployment schedule or exactly how the new operational realization will be implemented. Treat 2035 as a planning horizon, not as a confirmed switchover date.
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The change does not make time synchronization irrelevant. It changes the failure modes you must design for. Until a new policy is operational, your systems may still encounter a positive leap, a repeated or frozen second, a negative-leap-like skip, or a frequency adjustment used to smear the change. After routine insertions end, systems will still need traceable, consistent clocks, current civil-time rules and a way to interpret historical records produced under older policies.
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Why infrastructure teams must act
Most servers and end-user devices around the world rely on the Network Time Protocol (NTP) to keep their time current, according to the ITU’s 2023 guidance on time synchronization in data centres. NIST identifies data logging, telecommunications and time-distribution services as examples of systems that can be affected by a leap second.
A digital implementation cannot guarantee all three of these properties across a leap event at once: a monotonic time scale, a smoothly varying clock and direct traceability to UTC. An implementation may stop the clock briefly, repeat a displayed second, step the clock, skip a second in a negative adjustment, or alter clock frequency over a smear window. Two otherwise healthy machines can therefore produce different wall-clock representations of the same event.
That ambiguity becomes operationally significant when a wall timestamp is used as an ordering key, a timeout source, a lease deadline, a retry schedule, a certificate-validity check or a database duration. The remedy is architectural: use a monotonic clock for elapsed-time logic, use UTC wall time for audit and human display, and preserve enough source and sequence metadata to reconstruct what happened.
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Inventory every clock dependency
Create an owner-approved inventory for each trust domain (for example, a production cluster, a trading network, a telecommunications domain or a data-centre fabric). Record the source, protocol, software and behavior for every component:
- NTP servers, pools and authentication or access controls.
- Precision Time Protocol (PTP) grandmasters, boundary clocks and ordinary clocks.
- Global Navigation Satellite System (GNSS) receivers and any local oscillator or holdover module.
- Hypervisor time synchronization, guest-agent settings and host clock sources.
- Cloud-provider time services, managed database time behavior and platform-specific smear policies.
- Network appliances, storage controllers, logging collectors, firmware and embedded devices.
For each source, document whether it steps, slews, repeats, freezes, skips or smears around an adjustment; whether it exposes a leap indicator; what happens during holdover; and how operators can see the current stratum, source and synchronization state.
Choose one policy per calculation domain
Do not silently combine a smeared source with a stepped UTC source when their timestamps will be compared, joined or used in one calculation. A source can be perfectly accurate according to its own policy and still disagree with another source by a fraction of a second during a smear. Make the policy explicit in architecture documentation, service-level requirements and runbooks.
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For ordinary applications, NTP is generally appropriate. ITU guidance describes PTP as the choice for demanding distributed-storage and telecommunications systems that require much tighter uncertainty. The correct choice depends on your required uncertainty, network design, hardware support and traceability requirement; PTP is not automatically better for an application that only needs millisecond-level ordering.
| Requirement | Typical design question | Decision evidence to record |
|---|---|---|
| Uncertainty | Are milliseconds sufficient, or are microseconds or nanoseconds required? | Measured offset and jitter under normal load and failover |
| Time scale | Must records be traceable to UTC, to TAI, or only internally consistent? | Declared scale, conversion rules and source metadata |
| Leap behavior | Can the domain tolerate a step, repeated label or smear? | Chosen behavior and expected application response |
| Failure mode | What is acceptable during source loss or oscillator holdover? | Maximum holdover interval, alert threshold and fallback source |
| Reproducibility | Can an historical event be reconstructed after a correction? | Raw timestamp, normalized instant, sequence and clock identity |
Separate clocks by purpose
Every service should make a deliberate choice for each timing operation:
- Monotonic clock: use for elapsed durations, timeout and retry calculations, lease expiry, backoff, scheduler intervals and latency measurement. It must not be converted to a civil date by assuming that it advances at a fixed relationship to UTC.
- UTC wall clock: use for audit timestamps, user-visible dates, protocol fields that explicitly require UTC and correlation with external systems. Store the source and synchronization status when the record’s provenance matters.
- Sequence or logical clock: use as a tie-breaker when multiple events can share a wall timestamp. An ingestion ID, producer sequence or database-generated event number provides total ordering without pretending that wall time is unique.
Server preparation runbook
1. Establish a baseline
- List all time sources and consumers in the trust-domain inventory.
- Capture current offset, frequency correction, stratum or PTP state, leap indicator, source identity and holdover status.
- Map where timestamps are generated, transformed, queued, persisted, displayed and exported.
- Identify every component that applies a smear or hides a leap indicator.
- Assign an owner and escalation path for each source and each high-impact consumer.
Include virtual machines and managed services. A guest can inherit a host correction while also running its own synchronization daemon; that combination can create unexplained steps or frequency changes even when each layer appears healthy in isolation.
2. Publish the domain policy
Write a short policy that states the selected source hierarchy, protocol, leap behavior, allowed offset, maximum holdover, alert thresholds and fallback sequence. State whether records are UTC or another declared scale. Require services that exchange timestamps to belong to compatible policy domains or to carry enough metadata to convert and compare them safely.
3. Configure and patch through normal support channels
Update operating systems, hypervisors, NTP and PTP daemons, GNSS receivers and firmware through the vendor’s normal release process. Read the release notes for leap-indicator handling, smear defaults, leap-table updates and behavior when a source disappears. Keep a change record containing the version, configuration, source and rollback plan. The absence of a confirmed global cutover date is not a reason to defer routine patching.
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An offset dashboard alone can miss a dangerous policy mismatch. Alert on:
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- Stratum changes, source changes and loss of the preferred source.
- PTP grandmaster identity, announce or sync-state changes and path asymmetry where available.
- Leap indicators and any transition into or out of smear mode.
- Offset, jitter, frequency correction and oscillator holdover duration.
- Disagreement between independent sources or between host and guest clocks.
- Clock corrections applied to a node, with an immutable audit trail.
Retain these records long enough to explain timestamp anomalies in logs, transactions and incident timelines. A correction event without its source policy is often impossible to interpret later.
5. Rehearse before production
Use a staging environment that follows the production topology. Replay a positive leap, a repeated or frozen 23:59:59, a negative-leap-like skipped second and the smear profile selected by your domain. Exercise source failure and recovery as well as normal operation. The test must begin at the clock source and end at the database, message queue, logs, scheduler, certificate checks, backup and analytics systems.
PostgreSQL and other databases
What PostgreSQL represents
PostgreSQL stores timezone-aware values internally in UTC and uses IANA time-zone data for civil-time conversion. Its documented seconds range is 0 through 59, and its documentation notes that PostgreSQL does not use UTC in the strict leap-second sense because leap seconds are not handled. Consequently, do not assume that timestamp or timestamptz can faithfully encode 23:59:60.
This limitation is separate from daylight-saving and political time-zone changes. Keep the IANA time-zone data current even after routine leap insertions end; the end of leap seconds does not remove the need for civil-time updates.
Use a schema that preserves ordering and provenance
For an event stream, store a normalized instant plus a deterministic tie-breaker. A practical pattern is:
CREATE TABLE event_log (
event_id bigint GENERATED ALWAYS AS IDENTITY PRIMARY KEY,
event_time_utc timestamptz NOT NULL,
producer_seq bigint,
source_time text,
source_clock text,
time_status text NOT NULL,
payload jsonb NOT NULL
);The normalized UTC value supports ordinary queries. The identity column or producer sequence supplies total ordering when two events have the same wall timestamp. The original source value and clock metadata preserve traceability for legal, scientific or incident-analysis requirements. Define allowed values for time_status—for example, synchronized, holdover, smeared or normalized-leap—using a constraint or reference table rather than relying on undocumented strings.
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Handle a seconds value of 60 deliberately
RFC 3339 permits a seconds value of 60 for an actual leap second, but many database parsing paths do not. Treat such input as an explicit validation case and choose one policy:
- Reject: return a clear validation error and retain the rejected message for investigation.
- Normalize: map it to an agreed representable instant and set a flag that records the normalization.
- Preserve raw input: store the original string and source metadata alongside a normalized value, with an explicit status indicating that the source used a leap label.
Do not silently turn 23:59:60 into an ordinary second. Silent normalization destroys the information needed to reconcile an external protocol or scientific record.
Do not calculate elapsed time from wall timestamps
Subtracting two wall-clock values across a step, repeated second or smear can produce a duration that is too short, too long or negative. Producers should measure elapsed time with a monotonic clock and send that duration, or send start and end measurements accompanied by the producer’s timing policy. Database queries can still compare UTC instants for calendrical reporting, but timeout, lease, retry and service-level calculations should use monotonic measurements.
Design indexes and queries for ties
If an index or query orders only by event_time_utc, equal timestamps can be returned in an implementation-dependent order. Use a stable secondary key:
SELECT event_id, event_time_utc, payload
FROM event_log
WHERE event_time_utc >= $1
AND event_time_utc < $2
ORDER BY event_time_utc, event_id;For producer-originated ordering, use ORDER BY event_time_utc, producer_seq, event_id and define what happens when a sequence is missing or duplicated.
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Test the complete path rather than only the time daemon. NIST notes that repeated timestamps make event ordering and interval calculations ambiguous, so assertions must use sequence IDs or monotonic measurements in addition to wall time.
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| Scenario | What to inject or simulate | Assertions |
|---|---|---|
| Stepped positive leap | Clock step or leap indication at the boundary | No duplicate primary keys; audit records show the correction; services remain available within policy |
| Repeated or frozen second | Two samples labelled 23:59:59 or a paused clock |
Event order follows sequence or monotonic data, not wall time alone |
| Negative-leap-like skip | Remove one representable second from the test timeline | Schedulers, windows, retries and parsers do not assume every label exists |
| Smear profile | Apply the selected frequency change over its documented window | All members of the calculation domain agree; mixed-source alarms fire if a stepped source is introduced |
| Source disagreement | Feed independent sources with different policies or offsets | Monitoring identifies the mismatch and the service follows the documented source hierarchy |
| Identical wall timestamps | Emit multiple events with the same UTC value | Database and queue consumers preserve deterministic ordering |
| Duration and timeout | Move wall time backward, forward and through a smear | Lease expiry, retry backoff and latency use monotonic measurements |
| Primary-source failure | Withdraw the preferred NTP, PTP or GNSS source | Failover occurs within the holdover budget and produces an operator-visible status |
| Restore and replay | Restore raw and normalized records after a simulated correction | Historical events remain explainable and can be reprocessed without losing source labels |
Operational safeguards for queues, certificates and backups
Message queues and event pipelines
Carry the producer sequence, source clock identity and synchronization status with messages that cross trust domains. Consumers should not discard two messages merely because their wall timestamps match. If a queue assigns its own ordering token, retain that token with the normalized event time.
Schedulers, leases and retries
Use monotonic deadlines calculated from a captured monotonic start point. If a scheduler persists a future deadline across a reboot, persist both the UTC wall estimate for operator visibility and the policy used to derive it; recompute the active monotonic deadline when the process starts.
Certificates and security controls
Certificate validity checks depend on wall time. Test the validation library and any hardware security module near a correction, including a repeated label and a source step. Keep security logs’ UTC timestamp, sequence and source status together so an apparent reversal in time is not mistaken for tampering.
Backups and analytics
Back up raw source timestamps as well as normalized columns. Analytics jobs that bucket by minute or calculate intervals must declare whether they use wall time, a smear-adjusted timeline or producer-measured duration. Replay tests should verify that rerunning a historical batch produces the same ordering and aggregates.
Migration and governance timeline
Now: establish observability and data contracts
- Complete the inventory and assign owners.
- Document NTP, PTP, GNSS, hypervisor and cloud behavior.
- Add monotonic timing to libraries and service contracts.
- Add sequence and source metadata to event schemas.
- Begin collecting correction and holdover audit records.
Before an announced operational change
- Review advisories from IERS, ITU, NIST, operating-system projects, database projects and timing vendors.
- Confirm that every trust domain has one declared policy and a tested fallback.
- Run the full matrix against the exact versions and firmware used in production.
- Check dashboards, on-call procedures, backup replay and compliance reports for assumptions that every minute has 60 labelled seconds.
After the change is deployed
- Compare independent sources and verify that the observed UT1–UTC behavior matches the published policy.
- Keep compatibility handling for historical leap-labelled records.
- Continue updating IANA time-zone data and ordinary time-synchronization software.
- Retain the pre-change runbooks and test evidence so old records can be interpreted years later.
Requirements, costs and procurement decisions
The primary guidance does not provide a universal migration-cost statistic or a complete vendor-by-vendor release calendar. Budgeting therefore has to be based on your estate rather than on a single industry figure.
Cost and effort usually follow the number of clock sources, the amount of firmware and operating-system diversity, the need for PTP-capable network hardware, the retention period for raw timing metadata and the number of applications that currently subtract wall-clock timestamps. Teams with controlled-source requirements may evaluate a dedicated NTP server appliance; tighter uncertainty or telecommunications requirements may require PTP grandmasters, GNSS timing and specialist synchronization work. Verify current product availability and support commitments separately before purchasing.
Quick Recap
Design review checklist
- Can you name the source, protocol and leap behavior for every production host?
- Is one policy documented for every domain in which timestamps are compared?
- Are elapsed-time operations based on a monotonic clock?
- Do audit records include UTC value, source identity and synchronization status?
- Can the database represent or preserve an incoming
23:59:60without silent data loss? - Is there a sequence or ingestion key for events with identical wall timestamps?
- Have you tested stepped, repeated, skipped and smeared behavior end to end?
- Do alerts cover source changes, leap indicators, frequency correction, holdover and disagreement?
- Can you restore raw and normalized timestamps and reproduce historical ordering?
- Do you have an owner watching future IERS, ITU, NIST, operating-system, database and timing-vendor advisories?
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