Aliyun Account Purchase: Talk about the Practicality of Universal Cloud Server
If you ask a senior O & M or architect: "For the first time to build a station on the cloud or deploy an enterprise core system, what server specification is the safest to buy?" The answer is: "First try a general-purpose (General Purpose)."
Among the large number of instance specification families of major cloud vendors (such as computing models that emphasize computing power and memory models that are surprisingly large), the "general-purpose" model is often the most inconspicuous. It does not have the speed label of "high frequency physical CPU" like the computing type, nor does it have massive local throughput like the big data type. But it is such a seemingly "moderate" specification, but for many years accounted for half of the enterprise cloud server sales.
This makes people wonder: why can ariyun general-purpose instances (such as g series, g8i, g9a, etc.) still be called the "golden oil" of computing power today when businesses are becoming more and more refined "? Where is its practicality? When an enterprise actually lands, how should it balance the demand for computing power with the cost of business procurement? This article will peel off the technical terminology for you to talk about the practical value of the most grounded general-purpose server.
1. gold ratio: the technical base of general-purpose example "practicality"
To understand the utility of a universal, one must first look at its technical nature. in alibaba cloud's specifications, the core features of the general-purpose type are:
1:4 processor to memory ratio
. In other words, when you buy a 4-core (vCPU) general-purpose instance, it must be paired with 16GB of memory.
This ratio is not determined by a single head, but the "golden dividing line" that has been precipitated by computer science and massive commercial applications for decades ".
1. The "certainty" of exclusive computing power"
Many start-ups buy instances of shared (e. g., s-series) or burst performance (e. g., t-series) to save money when they are new to the cloud. The CPU of such instances is shared by multiple users at the bottom. Everything is fine when traffic is low at ordinary times. Once you encounter a neighbor "running a big task", your server performance will be dragged down.
The Alibaba Cloud General Type belongs
Enterprise-class exclusive instances
. This means that every vCPU you buy corresponds to an independent hyper-thread under a micro-architecture at the bottom of the physics, and the computing power belongs to you 100%. This "certainty" is invaluable for an enterprise-level business, and it means that your system won't somehow get stuck.
2. Bucket-level architecture, rejecting performance short boards
In the barrel principle, how much water a bucket can hold depends on the shortest board. If the CPU is too strong (for example, the ratio of computing type 1:2), when the number of concurrent requests increases suddenly, the memory is easy to be filled first, causing the system to crash directly (OOM); On the contrary, if the memory is too large (such as the ratio of memory type 1:8), the CPU will often soar to 100 when processing complex business logic and data encryption and decryption, leaving expensive memory resources idle in vain.
The general-purpose 1:4 ratio just puts most of the mainstream applications on "computing" and "at runtime.
The consumption of "cache" is maintained at an excellent balance, avoiding waste of resources to the greatest extent.
2. into the real scene: what hard bones can ariyun universal solve?
Talking about practicality out of business scenarios is all hooliganism. In the actual IT architecture of an enterprise, general-purpose servers are usually placed in the most critical positions:
1. Medium and large Web back-end and enterprise core systems (ERP/CRM/OA)
The biggest feature of the daily office system and customer management system within the enterprise is "complex business logic and frequent reading and writing". When an employee queries a customer report in CRM, the server not only performs permission verification, complex SQL concatenation (consumes CPU), but also aggregates and formats the queried temporary data in memory (consumes memory). General-purpose servers can handle such typical Web backends that "both calculate and save.
2. Small and medium-sized databases and cache clusters.
Although we often say that the database should be memory-based, in the actual landing, many small and medium-sized enterprises MySQL, PostgreSQL or SQL Server database, when the reading and writing pressure does not reach the level of large factories, general-purpose is the most cost-effective solution. Not only that, in modern distributed architectures, management nodes of cache systems such as Redis and Memcached, or Master nodes in clusters such as Kafka and Elasticsearch, use general-purpose types for instruction scheduling and state maintenance, which is also recognized as standard in the industry.
3. Multiplayer online game service backend
The game server's press on the hardware is comprehensive. When a player releases a skill in the game, the back end needs to immediately calculate the damage value and determine the collision volume. At the same time, it also needs to maintain the status data such as the position, health and equipment of all players in the current map in real time in the memory. The general-purpose instance not only has stable computing power distribution, but also focuses on optimizing the network packet sending and receiving capability (PPS) and network latency (such as the introduction of eRDMA technology) in recent generations of updates, which makes it a frequent visitor to the back end of the game suit.
Continuous Integration and Deployment Environment (CI/CD)
Modern software development pays attention to "agile development". After the code is submitted, automated compilation tools such as Jenkins and GitLab CI need to fill up the CPU instantly to compile and package, and at the same time need enough memory to support the running of test cases. The general-purpose server can provide extremely high burst and smooth output in a short time, significantly reducing the waiting time for code delivery.
3. Selection: When to Say "No" to Universal "?
Practical is not equal to blind superstition. In some extreme subdivision scenarios, the forced use of general-purpose models can instead become "wasted money":
Pure computing power-intensive: such as video high-frequency transcoding, 3D image rendering, pure scientific computing. This type of business has almost no memory requirements, and choosing the 1:2 computing type can save a large amount of memory difference.
Memory-intensive: such as running very large main memory databases (e. g. SAP
HANA), or a highly concurrent Redis pure cache cluster. At this time, the memory type with a ratio of 1:8 or even higher is the positive solution.
Low-frequency and extremely light-weight services: such as personal independent blogs, enterprise static official websites, or temporary test machines for developers to toss about themselves. In this case, choose an economical instance (e-series) or a lightweight application server, and the cost will be much lower.
4. Commerce and Landing: How to Get Cloud Resources Smarter?
When the technician confirms the utility of the generic example, the next ball is kicked in the hands of procurement and finance. One of the major advantages of cloud computing is flexibility, but how to get these enterprise-level resources at the best price under the framework of global compliance often requires some business wisdom.
For enterprises, the first step to the cloud is the account. When deploying general-purpose instances on Alibaba Cloud's overseas nodes (such as Singapore, Japan, and Germany), many multinational enterprises or overseas teams often encounter business barriers such as cumbersome cross-border payments, multi-currency reimbursement difficulties, and complex compliance audits.
In this context, many rational enterprise architects and procurement executives will prefer to optimize this process through legitimate ecological channels. Through professional agents
Alibaba Cloud account purchase
With hosting, it has become a shortcut for enterprises to go to the cloud efficiently.
The benefits of this are obvious:
Localized fund settlement: to solve the financial pain point of enterprises that need to bind foreign currency credit cards and make it difficult to issue domestic compliance invoices when directly docking overseas stations.
Exclusive business discounts: Eco-partners tend to have higher official rebates and tiered pricing, allowing companies to buy generic exclusive instances of the same specifications at a lower price than the official website.
Double check of architecture and selection: professional channel team not only handles business, but also assists technical team in specification pressure test before purchasing. They can help you with actuarial calculations: is it cost-effective to buy a large-size general-purpose model, or is it cheaper to buy two small-size instances for load balancing?
Conclusion: Return to essence, good use is the absolute principle
The development of cloud computing has undergone a transformation from "extensive buying power" to "fine cost control. The reason why Alibaba Cloud's general-purpose instances have been prosperous is that it has understood the underlying laws of most software operations and used a gentle attitude of 1:4 to help enterprises accommodate the performance fluctuations of applications at different stages of development.
Technology selection has never been the absolute "best", only the current "most suitable". When you are faced with complex business codes and cannot grasp the accurate portrait of resource consumption for a while, the universal type is the safe solution that can help you cover the bottom and let you sleep at night. And at the business level, make good use of similar
Alibaba Cloud account purchase
Channel ecology to lower the threshold, for discounts, is the technology landing, also worthy of the architect's attention "second battlefield".
