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1. WECHAT WINDOWS DEV INFRASTRUCTURE DATABASE CACHE UPDATE
2. WECHAT WINDOWS DEV INFRASTRUCTURE DATABASE CACHE FULL

The cattle model embraces immutable infrastructure. When one becomes unavailable, nobody notices. You scale by creating more of them (scaling out). They're identical and assigned a system identifier such as Service-01, Service-02, and so on. You provision each instance as a virtual machine or container. Should the server become unavailable, everyone notices. If the server becomes sick, you nurse it back to health. You scale by adding more resources to the same machine (scaling up). In a traditional data center, servers are treated as Pets: a physical machine, given a meaningful name, and cared for. They treat the underlying infrastructure as disposable - provisioned in minutes and resized, scaled, or destroyed on demand – via automation.Ĭonsider the widely accepted DevOps concept of Pets vs.

WECHAT WINDOWS DEV INFRASTRUCTURE DATABASE CACHE FULL

The cloudĬloud-native systems take full advantage of the cloud service model.ĭesigned to thrive in a dynamic, virtualized cloud environment, these systems make extensive use of Platform as a Service (PaaS) compute infrastructure and managed services. Let's take some time to better understand the significance of each pillar. But there's more: Five other foundational pillars shown in Figure 1-3 also provide the bedrock for cloud-native systems.įigure 1-3. The speed and agility of cloud native derive from many factors.

They individually scale services as needed.

WECHAT WINDOWS DEV INFRASTRUCTURE DATABASE CACHE UPDATE

They instantaneously update small areas of a live, complex application, without a full redeployment. This architectural style enables them to rapidly respond to market conditions. Deploys 1,000 times a day.Īs you can see, Netflix, Uber, and, WeChat expose cloud-native systems that consist of many independent services. Deploys several thousand times each week. Think about the speed, agility, and scalability they've achieved. Here are some companies who have implemented cloud-native techniques. Cloud-native systems are designed to embrace rapid change, large scale, and resilience Performance problems, recurring errors, and the inability to move fast are no longer acceptable. They expect rapid responsiveness, innovative features, and zero downtime. It's imperative to get new ideas to market immediately.Īt the same time, business systems have also become increasingly complex with users demanding more. Business systems are evolving from enabling business capabilities to weapons of strategic transformation that accelerate business velocity and growth. Combined with robust automation, they allow engineers to make high-impact changes frequently and predictably with minimal toil.Ĭloud native is about speed and agility. These techniques enable loosely coupled systems that are resilient, manageable, and observable. Containers, service meshes, microservices, immutable infrastructure, and declarative APIs exemplify this approach. The Cloud Native Computing Foundation provides the official definition:Ĭloud-native technologies empower organizations to build and run scalable applications in modern, dynamic environments such as public, private, and hybrid clouds. There's a good chance you'll get several different answers.Ĭloud-native architecture and technologies are an approach to designing, constructing, and operating workloads that are built in the cloud and take full advantage of the cloud computing model. Stop what you're doing and ask your colleagues to define the term "Cloud Native".