On Cloud Run, your code can either run continuously as a service (running code that responds to web requests or events) or as a job (performing work and quitting when the “job” is done). CockroachDB’s distributed SQL architecture means that any CockroachDB cluster can scale out and in dynamically by adding or removing nodes.Cloud Run is a container platform on Google Cloud that lets you run containers directly on top of Google’s scalable infrastructure.Two relatively recent developments help take away the majority of that complexity and pain: Google Cloud Run and CockroachDB Dedicated. Simplifying multi-region applicationsĭistributed systems are inherently complex, and designing multi-region application architecture has traditionally been difficult (and often painful to deploy). As a developer, localizing data by region lets you simply handle data residency requirements in the data layer rather than through heavy application architecture. By serving your application and bringing your data close geographically to your user, you get the best possible performance and lowest possible latency - and they get the best possible experience. Multi-region has built-in benefits for user and developer both: low latency and data residency. Even a two or three region deployment has the same challenges as a full-on global deployment, so either way applications must be built with the same architectural primitives. Not every application has users scattered around the entire planet, but most apps very much want to deliver a good user experience across a single country. But only multi-region application architecture can survive when an entire region fails. Single availability zone architecture can survive an AZ failure. Single region architecture can survive machine failures. Multi-region applications are resilient in ways that single region and single AZ applications cannot match. And, at scale, shit is *always* happening. (And if the whole region goes down, we’ve still got you covered – keep reading).Īs Cockroach Labs cofounder Spencer Kimball says, We know that sometimes shit happens. If one zone in a given region becomes unavailable it is very unlikely that other zones in the same region will also have the same issue. Google Cloud, for example, currently operates 97 AZs in 32 regions. Regions are divided into at least three availability zones (AZ), which are individual fault domains in a region. Zones and regions are logical abstractions of underlying physical resources: physical datacenters, filled with real hardware - servers, storage and networking infrastructure.Ĭloud regions are available across multiple continents. ![]() Regions are independent geographic areas that consist of zones. Examples of cloud resources include virtual machines, databases, and load balancers. Most cloud resources you will need for any application must be placed within a region (if they’re not, they’re called global resources). Why would you choose multi-region architecture? Three words: resiliency, latency and localization. ![]() It’s common to choose just one region, but you can also stitch multiple regions together. When you deploy a web application in the cloud, you typically select a region for your cloud resources first - a region being the physical datacenter location where your cloud-based application will live. Now available from O'Reilly: the complete resource for building unkillable apps at scale with Distributed SQL Get your free copy now!
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