Shulou(Shulou.com)06/01 Report--

DevOps automation solution can take advantage of many big data, I believe that many inexperienced people do not know what to do, so this paper summarizes the causes of the problem and solutions, through this article I hope you can solve this problem.

Big data is a buzzword in science and technology circles. This technology leads the enterprise's large-scale projects, and now DevOps Automation is promoting big data's great contribution in the industry. As you know, there is always a way to improve efficiency, which is what DevOps does for big data.

Together, these two technologies power the business strategy and promote its growth. Because of their amazing advantages, even top enterprises, such as Amazon and Netflix, are taking advantage of these technologies.

If we look at the statistics, we can better determine their role and importance. As in 2019, many industries have taken advantage of these technologies, including the banking industry itself, which generates nearly 13.9 per cent of big data's income. Meanwhile, DevOps's expected revenue is $17 billion, with a CAGR of 20 per cent by 2026.

Through the above figures, you can understand its advantages in the market. But you may be thinking about what these technologies are and how the DevOps automation solution benefits big data.

If you are considering all these questions, this blog will provide you with all the answers. Here, you will learn all the information about these technologies and major issues, namely, "how to take advantage of big data of the DevOps Automation solution?"

Here, we will discuss:

What is big data? What are the benefits of it?

What is DevOps? What are the benefits of it?

What is DevOps Automation? What are the benefits of it?

How does DevOps Automation benefit big data?

DevOps Automation tool

So let's delve into it and get all the answers.

What is big data and what are his benefits to the business?

Big data means collecting large and complex data from different sources. They are so complex and large that traditional data software cannot handle them. By contrast, this type of data can solve business tasks that standard data cannot accomplish.

Processing big data includes acquiring data and storing, sharing, analyzing, understanding, visualizing, transforming and testing to provide the required business value. In short, big data includes structured and unstructured data that each enterprise processes on a regular basis.

Benefits

Tools such as Hadoop and Spark bring cost advantages to enterprises in terms of data storage and processing as well as massive analysis.

Leapfrog to improve operational efficiency.

Identify and analyze the latest market trends and surpass competitors.

It helps to monitor the market in real time.

Promote sales and maintain customer loyalty.

It focuses on the local environment.

Control and monitor online reputation.

What is DevOps? What good does it do to the enterprise?

DevOps is a set of practices, cultures, and methodologies designed to promote and improve communication and collaboration between development and operations teams. It focuses on process automation and simplification throughout the project development lifecycle.

The important pillars of DevOps are shortening the development cycle, increasing deployment frequency, rapid release, parallel work of different experts, and regular customer feedback. In addition DevOps can also significantly improve the quality speed and reliability of software.

Benefits

Deliver features faster

More stable operating environment

Solve problems faster

Improve communication and collaboration

Greater opportunities for professional development

A happier, more productive team

Continuous delivery of software

Less management complexity

What is DevOps Automation and what benefits does it have for the business?

Automation is the basic requirement of DevOps practice, and it can automate everything. This is the basic practice of DevOps, starting with code generation on the developer's computer until the code is pushed into the code and monitors applications and systems in the production environment. Automated infrastructure setup, configuration, and software deployment are important priorities of DevOps practice.

The DevOps exercise ID relies on automation to deliver within hours and requires frequent cross-platform delivery. Automation in DevOps encapsulates everything from development to deployment to monitoring.

Benefits

Eliminate manual errors

Authorized team members

Delete dependency

Provide faster feedback

Increase the number of delivery

Eliminate delay

Reduce delivery time

Increase release frequency

Achieve speed, reliability and consistency

Now, let's know why this Devops automation solution benefits from big data.

1. Establish a system platform

Big data always needs a stable, manageable and complex environment-teams of multiple developers and operators need to work on the same project. And, from here on, the role of DevOps automation begins. It can provide a more collaborative environment for organizations.

DevOps provides additional agility and flexibility to help businesses discover more immediate business opportunities. It can help you complete the entire software development cycle when building large and complex new products. These solutions are provided by DevOps solution providers; they can plan, develop, test and create new products in a better and more reliable way.

Here, the system should be able to adapt to changes when displaying new data. Artificial intelligence algorithm plays a vital role in modifying its operation to achieve the goal of the organization. It can quickly bring more insights, trends and models to enterprises to achieve efficient operation.

two。 Simplify the operation procedure

Today, big data is about 250 bytes, or even a billion pieces of data. As a result, DevOps automation has become the main standard for organizations to reduce their daily work here. DevOps automation combines simplified workflows to help professionals accelerate the acquisition of more structured data from non-organizational data. Similarly, different testing procedures can automatically detect errors and problems so that they can be fixed immediately.

The overall focus should be on simplifying the complete software development life cycle (SDLC) process. Because slow results may affect the company's progress, while too fast results are more likely to make mistakes. Therefore, it is important to strike a balance between speed and quality.

DevOps automation is more useful in developing new products to get the best results. Continuous delivery of new products is complex because results need to be achieved quickly without compromising quality. As a result, DevOps automation can improve overall productivity and help you achieve better quality results without affecting quality factors.

3. Seamless integration from multiple teams

There is no doubt that big data project is so large that it is impossible for a single enterprise to cover all the basic aspects of the project. One of the main challenges here is to organize hundreds of telecommuting professionals to help businesses gain more practical insights.

As a result, DevOps automation can combine this large amount of information to develop a strategic plan and move into the future by prioritizing key factors for success and upward growth.

As a result, working in this collaborative environment is comfortable and profitable through DevOps automation. Many platforms provide this transparent and accessible environment for big data management, such as JFrog with manual repositories that combine cloud and local infrastructure.

4. Finding bottlenecks and their Solutions

In big data's management, different companies face different problems that affect their performance. With DevOps automation, you can identify these bottlenecks and build solutions to refine the process to increase productivity. If you are looking for a cost-effective solution, you can better hire Indian developers to effectively improve the process.

DevOps services are committed to working with each team member to effectively simplify daily work, pave the way for rapid development, and identify success factors for successful results. Big data team provides a lot of feasible insights for enterprises, which can be used to formulate strategies.

The key to the success of DevOps is continuous monitoring and improvement. The system is always looking for improved results from the current situation, and further make business operations more stable, in order to bring more profitable results.

5. Awareness, transparency and adaptability

By following security protocols and upgrading data locally near the team, DevOps can seamlessly establish data transparency. With DevOps, companies can develop a centralized collaboration environment to fill the gap between developers, project managers, security, and IT operators. This transparent DevOps process increases productivity and drives innovation for sustained growth.

The interconnection of the Internet of things brings a huge amount of data, so enterprises should be more suitable to deal with all kinds of data streams at the same time. DevOps automation accelerates the organization's path to effectively understand unstructured data and discover hidden patterns, thereby improving the development cycle through further self-assessment.

6. Implement uniform standards through the system

Each organization seeks unity and specific levels of quality control in the process, which is the biggest challenge to maintaining this consistency throughout the cycle. As thousands of professionals are working on the same project, several variable practices may lead to inconsistencies.

With DevOps automation, companies can follow and implement uniform measures to increase productivity in complex projects. Here, consistency is critical to reducing the percentage of errors in business operations, so higher delivery potential can be maintained.

In addition, learn about DevOps automation tools

The large DevOps team maintains a large IT infrastructure divided into six categories, using specific DevOps automation tools, which are:

Amazon Web Services (AWS), a tool for infrastructure automation-can be configured to provide more servers that are automatically based on traffic.

Configuration Management tool Chef-with this tool, the DevOps team can avoid making changes between 10, 000 servers. They must change it at once, and all changes will be updated automatically.

The tool Jenkins is used for deployment automation-to help with continuous integration and testing.

Dynamic performance management tool application-provides real-time performance monitoring.

Splunk-, a tool for log management, solves problems such as storing, summarizing, and analyzing all logs in a single location.

Nagios monitoring tool-notifies people when infrastructure and related services fail.

DevOps automation is an important factor in handling big data's project because the company faces challenges in managing multiple teams, continuous release, remote collaboration, and maintaining optimal performance. Although the whole process sounds easy, it contains a lot of complexity in real time because big data needs to improve regularly throughout the software development cycle.

The company always needs smart solutions, and DevOps Automation has everything it takes to bring business success to shore. The above benefits highlight the reasons why companies should follow DevOps processes and automation. Whether it is building a system platform or simplifying the operation process, better quality results can be achieved by using DevOps Automation in big data's project.

After reading the above, have you mastered the DevOps automation solution can make use of the multi-big data method? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.