// S-03
Async at scale
Queueable, Batch and bulk processing that holds up.
// what it is
Some work is too big for a single transaction: bulk matching, large data changes, chains of jobs that depend on each other.
Async at scale means designing Queueable and Batch Apex so that work completes within platform limits, and so the team can see and control it while it runs.
// when a team needs it
- Processes hit platform limits as data volumes grow.
- Async jobs across the org compete with each other, and nobody can see what is running.
- A bulk process needs to finish much faster than it does today.
// what you get
- Queueable and Batch Apex designed for your volumes.
- Async management: load balancing, dependent jobs and cancellation.
- A monitoring view so the team can see what is running.
- Performance work, such as caching, where it helps.
// where I've done this
- CertiniaOrchestrated and co-architected a bulk resource-matching system, matching 2,000+ work items with Queueable Apex and returning results in minutes.
- CertiniaHelped design and implement an org-wide async management service with load balancing across packages, dependent async handling, cancellation support and a monitoring UI.
// contact
Available for contract work alongside a full-time role.
UK / Remote