The potential failure cases in a distributed system are numerous and hard to predict. Modern software engineering practices rely on a programming model where errors are known in advance or are handled with blanket error handling policies. From the perspective of a software engineer, a more useful model would be one where it is possible to adapt to failures as they occur. In order to recover from failures as they occur it is necessary to reliably suspend code execution and state. One of the primary benefits of such a model would be greatly reduced cognitive overhead when building and maintaining distributed systems.
Software Engineer @Temporal
Formerly worked as a Software Engineer on distributed systems in a variety of industries including payment processing, e-commerce, SMS, credit data, and IoT security devices. After successfully using Temporal Server to drive a product to IPO goals, I joined the company as an avenue to improve the quality of life of software developers.
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Durable execution system enabling reliable execution of software services and applications at scale