PaaS cloud is the inspiration for serverless systems, but no server does not mean there is no server. Currently there are no servers to get a lot of user applications. No server is changing cloud computing.
In a recent survey, research firm Sumo Logic surveyed 1,500 customers using cloud computing services such as Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP). According to the survey, a quarter of respondents have deployed Docker containers, and almost 23% of respondents said they are using the AWS Lambda serverless computing framework.
Obviously, no server gets a lot of user applications. In the application development and operation, its adoption will be accompanied by some necessary changes. This means that no servers are changing the way people use public clouds.
First of all, no server does not mean there is no server. It simply means that the user uses an automated mechanism that allows them to focus on the purpose and build of the application itself. This mechanism ensures that users allocate enough servers and storage to support the application. This makes users feel that they should be part of the public cloud from the start.
In fact, public IaaS clouds like AWS, Google Cloud, and Microsoft Azure see their cloud computing resources as a virtual data center. However, instead of buying and installing physical servers in the data center, virtual computing compute servers and storage devices, not to mention databases, security, governance, and other cloud computing services.
In fact, many corporate IT departments are more than happy to get rid of the management of physical servers in the data center, leaving many of the limitations of existing public IaaS clouds. However, in the past few years people have adopted the public IaaS cloud, and developers and Cloud Ops professionals are pushing for continuous monitoring servers (whether configured or not) to support workloads.
Traditional IaaS has caused this problem, and there are two things. First, they over-provision the required servers and look for a model that "can't have too many resources." Or, second, they don't provide enough resources, but instead go to the "let them ask for more" model. Both of these are the wrong ways.
Although the estimates are different, the allocation of public IaaS cloud resources to actual demand is almost 40%. This means that most businesses pay 40% more than cloud computing services. This does not include servers that are stuck in production due to errors, or the loss of applications that fail due to not all the cloud resources needed to allocate the workload.
ServerlessPaaS Cloud is really inspired by serverless systems like AWS Lambda and Microsoft FuncTIons. As a service, PaaS began to get more applications to provide the services users need. It works behind the scenes and frees developers and operators from continually figuring out.
At the heart of IaaS serverless products, people encounter some common patterns:
Enables developers to not have to allocate the right amount of resources to their workloads, keep up with running conditions, and need to configure the resources they need. Simply pay for the content you use until the user writes the features you wrote in the serverless subsystem.
The ability to connect serverless computing to new and legacy applications. While users can write complete applications using a serverless system, most people choose to work on new or traditional workloads.
Ability to accurately calculate the resources consumed by the workload. In the past, people had to evaluate and allocate the cost of cloud servers across departments. Even if the department only uses 3% of the assigned cloud servers, they may have to pay 33.33% of the fee. And no server makes cost accounting and deduction more accurate and fair.
Ability to create workloads as feature sets, all of which have their own ability to automate the allocation of resources, costs, and the ability to do their jobs with any functionality. This means that you want to return to a service collection of applications, so you need to have some good design work into a feature-oriented serverless application.
For many people, these serverless features are also called service features, or FaaS. FaaS does not need to encode a framework or library. Instead, when it comes to languages ​​and environments, these features are built as regular applications.
For example, AWS Lambda functionality can be implemented in Javascript, Python, and most JVM languages. However, the FaaS function does have significant architectural limitations, especially in terms of state and execution duration.
Create a serverless policyIn addition to the implementation of cloud computing technology, companies need to understand what serverless development means.
First, although the tech media has some good ideas about serverless technology, it is more strategic rather than strategic in terms of its value. Therefore, although there are some values ​​here, the result is not to change the rules of the game, but to improve it, in terms of eliminating the amount of cloud computing resources required by humans.
Second, it's more about new and smaller applications than refactoring traditional applications. Just like a container, people want to put everything in and find that in some cases it is impossible to consider the amount of work that needs to be done. Server-based applications are best for serverless applications, so new applications and smaller and more strategic applications will benefit the most from serverless technology.
Finally, users need to prevent vendor lock-in. Considering that serverless is different from Google, Microsoft, and AWS cloud platforms, users can rely on a platform that builds a serverless system that supports their customers and cloud computing. Portability can be difficult to build into server-based applications. There is no viable standard or close coordination between IaaS serverless cloud providers.
So, can no server change the calculation? In fact, it is no much larger than other cloud computing technologies in the past few years.
No server is what some public cloud should do from the beginning. It is more about evolution than innovation, and sometimes it is a more desirable pursuit.
A new rule from the Drug Enforcement Administration (DEA) threatens to upend the American hemp industry, and could even result in criminal prosecutions for manufacturers of CBD and delta-8 THC products.
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