DevOps Consulting for Logistics
A logistics platform is an integration hub wearing a product’s clothes: dozens of carrier APIs, EDI feeds, telematics streams and customer ERPs, all expected to agree on where a shipment is right now. When the platform stalls, trucks sit, docks miss appointments and your customers’ own customers start calling. The infrastructure problems here are distinctive — data freshness, third-party failure isolation, brutal seasonality — and every one of them is platform work.
Tracking data goes stale under load
Position updates queue up during busy hours, ETAs drift from reality, and the map your customers plan their day around is quietly twenty minutes old — trust erodes with every stale ping.
How we fix it — Streaming ingestion engineered for the load: partitioned queues, consumers that autoscale on lag rather than CPU, backpressure that degrades gracefully, and freshness SLOs with alerts on pipeline lag — so "how old is this position?" is a monitored number, not a guess.
One flaky carrier API takes down the whole booking flow
You integrate with dozens of carriers, and any of them can time out, change a rate limit or return garbage at any hour. Without isolation, one degraded partner becomes your outage — and your SLA breach.
How we fix it — Integrations run as isolated workloads with their own resource limits, timeouts, retry queues and dead-letter handling, plus per-integration health dashboards and alerting. A carrier outage degrades one lane; the platform, and every other carrier, keeps working.
Peak season finds your capacity ceiling for you
Q4 volume, produce season or one customer’s promotion multiplies shipment events overnight — and the first you learn of the bottleneck is labels failing to print at a warehouse at 6 a.m.
How we fix it — Load tests shaped like your real peak — bursts of scans, batch label runs, EDI floods — run before the season, autoscaling tuned to the signals that precede saturation, and pre-scaling for the calendar you already know. Limits get found on our schedule, not December’s.
Freight moves 24/7; your on-call setup does not
Warehouses scan through the night and every time zone is somebody’s business hours, so there is no quiet window — but a small engineering team cannot eyeball dashboards around the clock.
How we fix it — SLO-based alerting on shipment-flow signals — event lag, booking success, webhook delivery — that pages only when the operation would notice, with runbooks the on-call engineer can execute half-asleep. Fewer pages, faster recoveries, no 24/7 headcount.
Uptime is a contract term in this industry.
Shippers and 3PL customers write availability and data freshness into contracts, and every integration you run makes the promise harder to keep. We engineer the platform so the numbers in your SLAs are numbers you actually control.
- Freshness as an SLOTracking-event lag measured end to end — ingestion to customer-visible — with error budgets and alerts before staleness becomes visible.
- Integration blast-radius controlEvery carrier, ERP and telematics feed isolated with its own limits, retries and health checks — one partner’s bad day stays theirs.
- Peak-season readinessLoad tested against your real event shape before the season, with a rehearsed scale-up plan for known surges.
- An event trail that holds upDurable, replayable shipment-event storage with tested backups — when a customer disputes a milestone, the record is there.
Two free tools, no signup: estimate your cloud waste with the cost calculator, or score your production posture on the security scorecard. Fixed-scope packages and prices are on the pricing page.
Frequently asked
We integrate with 40+ carriers and one of them is always broken. Can infrastructure actually help?
Substantially. You cannot make a carrier’s API reliable, but you can stop it becoming your incident: isolation per integration, aggressive timeouts, retry and dead-letter queues, and per-partner health monitoring so support can say "carrier X is degraded" instead of "the platform is down". That reframing alone changes your SLA conversations.
Our stack spans warehouses, on-prem scanners and the cloud. Do you handle hybrid?
Yes. Hybrid is normal in logistics — site-to-cloud connectivity, store-and-forward for flaky warehouse links, and lightweight edge runtimes where they earn their keep. We manage it all as code with one deployment and observability story, so a warehouse is a location, not a special case.
Can you get us through peak season?
That is the classic logistics engagement, ideally started well before the season. We load-test against your real traffic shape, fix what breaks — usually database connections, queue configuration and undersized autoscaling — set pre-scaling for the known calendar, and leave a rehearsed runbook for the days that matter.
Our telematics data volume doubles every year. How do we keep costs sane?
Retention policy is the lever: full-resolution recent data, downsampled history, cold storage for the archive — plus autoscaling that follows the daily cycle down as well as up. Most fleets store everything at full resolution forever by default; almost none need to.
Keep freight moving when it matters most.
A free audit of your platform — pipeline freshness, integration blast radius, peak readiness and baseline cost — delivered as a prioritized report you keep either way.
NO SIGNUP · NO OBLIGATION · REPORT IS YOURS TO KEEP