While public NTP servers provide decent time synchronization for most applications, GPS-based solutions offer several technical advantages:
- Atomic-clock accuracy: GPS satellites transmit time signals synchronized to atomic clocks with nanosecond precision
- Complete independence: Doesn't rely on network infrastructure or third-party servers
- Predictable latency:
Fixed signal propagation time from satellites (unlike variable internet latency)
Here are three common approaches to implement GPS time sync:
1. Dedicated NTP server with GPS module:
# Sample chrony configuration for GPS time sync
refclock SHM 0 offset 0.0 delay 0.1 refid GPS
server 0.pool.ntp.org iburst
server 1.pool.ntp.org iburst
2. Raspberry Pi with GPS dongle:
# Install required packages
sudo apt install gpsd gpsd-clients python-gps chrony
# Configure gpsd to use USB GPS
sudo systemctl stop gpsd.socket
sudo systemctl disable gpsd.socket
sudo gpsd /dev/ttyUSB0 -F /var/run/gpsd.sock
3. Commercial GPS NTP appliances:
Products like Microchip's SyncServer or Meinberg's LANTIME offer enterprise-grade solutions with PPS outputs.
Consider GPS synchronization when:
- Your application requires <10ms accuracy
- You need audit-compliant timestamps
- Operating in environments with unreliable internet
- Building distributed systems requiring clock coherence
Solution | Accuracy | Cost | Complexity |
---|---|---|---|
Public NTP | 10-100ms | Free | Low |
GPS + NTP | 1-10ms | $50-$500 | Medium |
Dedicated GPS NTP | <1ms | $500-$5000 | High |
For applications requiring extreme precision:
// C code example for PPS (Pulse Per Second) handling
#include <sys/ioctl.h>
#include <linux/pps.h>
int fd = open("/dev/pps0", O_RDWR);
struct pps_fdata fdata;
ioctl(fd, PPS_FETCH, &fdata);
printf("Precise timestamp: %ld.%09ld\n",
fdata.info.assert_tu.sec,
fdata.info.assert_tu.nsec);
Remember that GPS signals require clear sky view - indoor applications may need roof-mounted antennas.
When building distributed systems, accurate timekeeping becomes crucial for:
- Transaction ordering in financial systems
- Log correlation across microservices
- Scientific data collection
Traditional NTP over internet introduces multiple points of potential drift:
// Example of typical NTP stratification
Stratum 0: Atomic clocks (GPS satellites)
Stratum 1: GPS-synchronized servers
Stratum 2: Servers syncing with Stratum 1
Stratum 3+: Increasingly unreliable hops
A Raspberry Pi with GPS module can achieve Stratum 1 accuracy:
# GPSD configuration for NTP
sudo apt install gpsd gpsd-clients python-gps
sudo systemctl enable gpsd
sudo nano /etc/default/gpsd
# Add:
GPSD_OPTIONS="/dev/ttyACM0"
START_DAEMON="true"
Compared to internet NTP, GPS provides:
Metric | GPS NTP | Internet NTP |
---|---|---|
Accuracy | ±50ns | ±10ms |
Dependency | Satellite signals | Network infrastructure |
Cost | $50-$200 hardware | Free |
For mission-critical systems, consider fallback mechanisms:
// NTP configuration with GPS priority
server 127.127.28.0 minpoll 4 maxpoll 4 prefer
fudge 127.127.28.0 time1 0.420 refid GPS
# Internet fallback servers
server 0.pool.ntp.org iburst
server 1.pool.ntp.org iburst
Real-world latency measurements show:
- GPS lock time: 30-120 seconds (cold start)
- Internet NTP convergence: 2-5 minutes
- Long-term drift: GPS maintains <1μs, Internet varies by 5-100ms
Consider GPS time sources when:
- Operating in regulated industries (FINRA, MiFID II)
- Running high-frequency trading systems
- Maintaining distributed databases across continents
For most web applications, internet NTP suffices. But as Kubernetes architect Martin Fowler notes: "Distributed systems should never trust local clocks - GPS provides the only truly authoritative time source."