DevOps teams who create an online store typically begin with downloading code that is open source from GitHub. For instance, they could get open-source code to NGINX which is a well-known web server used by high-traffic websites.
Then the team can tweak the software for speed and then package it for use. The Millions of Audience uses the ESPN, Recently we find out the common error ESPN error 1008, Simple Method to Fix.
There is a different option for developers that use cloud instances running Intel hardware. This method can dramatically speed up time to value, beginning by using the Intel Optimized CloudStacks.
To develop Intel Optimized CloudStacks
Intel begins using the same open-source software accessible for developers to download on GitHub. Intel creates specific software for each application optimization. These optimizations improve performance and are optimized for Intel hardware for particular cloud instances.
The improvements take advantage of Intel’s powerful acceleration capabilities to accelerate cryptography as well as artificial intelligence (AI) and other CPU-intensive tasks. Intel is then working with its partners such as Bitnami to create packages, compile, and distribute the software. The use of Intel Optimized CloudStacks as a base for tasks such as NGINX, WordPress, and MySQL will save developers considerable time. It also can greatly improve performance.
Figure 1 shows Intel Optimized CloudStacks for MySQL which is an open-source database management system for relational databases (RDBMS). Intel begins with the basic open-source image and improves it by implementing software-based optimizations that include security. The software is then tuned to the use of an Intel instance in a cloud that is public. The user can choose a single-node or a multi-node model depending on their usage scenario: dynamic or static web hosting social media, e-commerce banking apps, and others.
What makes Intel Optimized CloudStacks different from others?
Intel Optimized CloudStacks are different from other open-source software in a variety of ways. First, Intel uses unique software components and adjusts these components to take advantage of the sophisticated capabilities of the instruction set on Intel platforms.
Intel also optimizes components to make use of the power of cloud instances. Through tuning and upgrading the components Intel allows organizations to develop applications that have higher efficiency and speed faster than when they use the standard applications that are available on GitHub.
Tables 1 and 2 show optimized components in Intel stacks. Table 1 provides how to use the Intel Optimized CloudStacks for WordPress and Table 2 provides how to use the Intel Optimized CloudStacks for NGINX.
To improve the speed of response to websites Intel makes use of an asynchronous NGINX instead of the standard NGINX for both WordPress as well as NGINX images. In addition, to protect communications on networks, while also delivering high-performance, Intel uses OpenSSL in Asynchronous Mode instead of traditional OpenSSL.
Both NGINX and WordPress services come with Intel Multi-Buffer Crypto, which speeds up the processing of packets for IP security (IPsec). IPsec is a set of protocols that aid in secure communication through the layer of processing packets. The stacks also incorporate IPsec’s Intel QAT engine, which speeds up and reduces the workload of cryptographic tasks by delegating information to hardware that can optimize these functions. Each of the components will enhance the efficiency of the NGINX engine, which allows servers at data centers to react effectively to the high volume of traffic.
Intel differs from its Intel Optimized CloudStacks by the way that it manages the components. They are selected to harness Intel’s advanced hardware-acceleration capabilities for specific cloud instances.
Intel is also able to handle the burden of creating the application, compiling it, and packaging the application software. This lets DevOps teams start Intel Optimized CloudStacks from the open CSP website. This is different from using multiple memory and CPU cycles to prepare software applications.
Optimized software components
The next sections will explore more deeply some of the optimized software that is included with Intel Optimized CloudStacks. They also explain how they can boost your performance of yours.
The OpenSSL project offers Open Source implementations of Secure Sockets Layer (SSL)/Transport Layer Security 3 (TLS3) protocols that are required to authenticate and secure the network connections between computers. SSL or TLS3 encryptions protect private information transmitted by applications such as e-mail or social media. The speed of performance is important due to increasing volumes of traffic inside data centers. Asynchronous OpenSSL is a major contribution to this project, which solves this issue of improved performance.
An asynchronous OpenSSL is an unblocking method that allows a parallel processing model on the cryptographic layer for SSL/TLS protocols. This permits optimizing other kinds of processes. The two major advantages of Asynchronous OpenSSL are the increased single-flow throughput that results in higher performance and fewer contexts, thereby reducing the overhead of managing contexts. With the inclusion of Asynchronous OpenSSL within Intel Optimized CloudStacks developers can reap the benefits of the higher performance of servers.
Intel QuickAssist Technology (Intel QAT) engine for OpenSSL
OpenSSL performance can be enhanced further with performance enhancements with the Intel QAT engine, which is available on select Intel platform architectures. Intel QAT has been expanded to enable an acceleration software-based for cryptographic operations by using instructions from the Intel Advanced Vector Extensions 512 (Intel AVX-512) family. By incorporating Intel QAT within Intel Optimized CloudStacks applications can benefit from increased server performance. It is possible to use the Intel QAT engine for OpenSSL can be deployed currently for on-premises users and can also provide benefits when it is deployed in the cloud when CSPs deploy instances that allow it to be exposed.