Releases are more frequent in a DevOps environment and the testing and quality assurance happens even quicker as a result. While there is a strong buzz about DevOps in the IT world, it is not just about adopting it but also the benefits of DevOps. The domain comes with its own advantages.
The benefits of DevOps mentioned on the below list are very real, many of which are measurable and not just hype. Hope that we solve your question “What are the benefits of DevOps?” in our blog. DevOps helps in introducing automation to an organization and comes with a host of benefits. It builds a development environment that is more responsive, efficient, aligned to business requirements, and human-error-free.
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DevOps and Cloud computing are joined at the hip, now that fact is well appreciated by the organizations that engaged in SaaS cloud and developed applications in the Cloud. During the COVID crisis period, most of the organizations have started using cloud computing services and implementing a cloud-first strategy to establish their remote operations. Similarly, the extended DevOps strategy will make the development process more agile with automated test cases.
According to the survey in EMEA, IT decision-makers have observed a 129%* improvement in the overall software development process when performing DevOps on the Cloud. This success result was just 81% when practicing only DevOps and 67%* when leveraging Cloud without DevOps. Not only that, but the practice has also made the software predictability better, improve the customer experience as well as speed up software delivery 2.6* times faster.
3 Core Principle to fit DevOps Strategy
If you consider implementing DevOps in concert with the Cloud, then the
below core principle will guide you to utilize the strategy.
Guide to Remold Business with DevOps and Cloud
Companies are now re-inventing themselves to become better at sensing the next big thing their customers need and finding ways with the Cloud based DevOps to get ahead of the competition.
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Once an industry term becomes popular, particularly in technology, it can be difficult to get an accurate definition. Everyone assumes that the basics are common knowledge and moves on. However, if your company has been discussing DevOps, or if you are interested in learning more about it, here are some basics you should know.
DevOps refers to the restructuring of the traditional software application cycle to support Agile development and continuous improvement/continuous delivery. Traditionally, the software was created in large-scale, monolithic bundles. New features and new releases were created in large packages and released in full-scale, infrequent, major deployments.
This structure is no longer effective in the modern business environment. Companies are under increasing pressure to be agile. They must respond rapidly to changes in the business environment to remain competitive. Software development needs to be completely changed as a process so that incremental improvements can be made frequently – ideally, several times per day.
However, changing a development lifecycle completely requires major changes – in people and culture, process, and enabling tooling – to be effective. DevOps was created by the breaking down of cycles between development and operations, combining two separate functions in application development. These changes intend to support agile, secure, continuous improvements, and frequent releases.
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Technology has taken a place of more productiveness and give the best to the world. In the current situation, everything is done through the technical process, you don’t have to bother about doing task, everything will be done automatically.This is an article which has some important technologies which are new in the market are explained according to the career preferences. So let’s have a look into the top trending technologies followed in 2021 and its impression in the coming future in the world.
First in the list of newest technologies is surprisingly Data Science. Data Science is the automation that helps to be reasonable for complicated data. The data is produces in a very large amount every day by several companies which comprise sales data, customer profile information, server data, business data, and financial structures. Almost all of the data which is in the form of big data is very indeterminate. The character of a data scientist is to convert the indeterminate datasets into determinate datasets. Then these structured data will examine to recognize trends and patterns. These trends and patterns are beneficial to understand the company’s business performance, customer retention, and how they can be enhanced.
Next one is DevOps, This technology is a mixture of two different things and they are development (Dev) and operations (Ops). This process and technology provide value to their customers in a continuous manner. This technology plays an important role in different aspects and they can be- IT operations, development, security, quality, and engineering to synchronize and cooperate to develop the best and more definitive products. By embracing a culture of DevOps with creative tools and techniques, because through that company will gain the capacity to preferable comeback to consumer requirement, expand the confidence in the request they construct, and accomplish business goals faster. This makes DevOps come into the top 10 trending technologies.
Next one is Machine learning which is constantly established in all the categories of companies or industries, generating a high command for skilled professionals. The machine learning retailing business is looking forward to enlarging to $8.81 billion by 2022. Machine learning practices is basically use for data mining, data analytics, and pattern recognition. In today’s scenario, Machine learning has its own reputed place in the industry. This makes machine learning come into the top 10 trending technologies. Get the best machine learning course and make yourself future-ready.
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The year 2020 has arrived, and its arrival brings a lot of innovations and transformations in the Information and Technology (IT) sector and especially to DevOps technologies. The study conducted by experts at Grand View Research says that the DevOps market is anticipated to be worth 12.85 billion USD by 2025. The adoption of DevOps practices rose 17% in 2018 as compared to 10% in 2017, according to Statista. It has been seen that top organizations that have included DevOps practices in their Software Development cycle have experienced a 63% improvement in the quality of software deployments. Due to Agile adoption, 63% frequency in the release of new versions of software! Also, higher standards of coding have been observed.
The market for DevOps is being driven by the increased adoption of Agile methodologies, cloud technologies, rising digitisation, and business automation. Adopting DevOps in the IT culture is a necessity for better team collaborations. So is your business ready to embrace DevOps culture in 2020? Various tools available for DevOps are Docker, Jenkins, GIT, etc. You can always take assistance from Cloud DevOps Consultants or DevOps service providers. If you want to know more about DevOps trends in 2020, then keep reading.
The trends show the interests of the IT industry in CI as the only tool for deployments is slowing down. Continuous Integration (CI) is the process that automates build and runs unit tests on each PUSH of code. CI-Pipelines only work in segments. In order for all the teams to collaborate better, there is a need for automation of CI along with Continuous Delivery and Continuous Deployment of the code and binaries to the target environments. That is where DevOps comes into the picture to improve the process of planning, coding, and automation of delivery and deployment.
**Related Reading - **How to Setup a CI/CD Pipeline with Kubernetes 2020
Cyber security is one of the vital concerns for IT corporations. DevOps is going to be spending a lot of resources on security. The term being used is DevSecOps. The increase in the need for security has made the integration of security in the application development process necessary. By this measure, the vulnerabilities will decrease, and the whole process will be effective, secure, and efficient.
There will be a simplification of operations with the server-less architecture used by DevOps teams. Legacy systems are being upgraded to server-less operations with solutions like Google Functions, AWS Lambda, and Microsoft’s Azure Functions. This change is cost-effective and also improves the experience of users. This server-less architecture will be the go-to architecture for developers to increase productivity and will need DevOps automation more than ever.
Zero-touch automation is the future of DevOps automation. There will be no need for human intervention when machine learning is utilized to automate the back-up of vast data fully. The companies which have already implemented or adapted DevOps have seen a significant increase in productivity and faster rates of deployment. Understanding the DevOps cycle and administering automation between all the blocks of sequences.
There will be an accelerated shift to Cloud-native DevOps since all the enterprises are moving to Cloud-based enterprise products. Cloud adoption ensures flexibility, less downtime, reduces infrastructure expenditures. Gartner predicts that shift to the cloud by 2022 will effect 1.3 Trillion USD of IT industry spending directly or indirectly. Many companies like Google, Microsoft, and Amazon provide cloud computing and storage facilities and smooth operations. These companies are seeing a massive spike in other enterprises looking for their cloud services for faster changes in production.
#devops adoption #devops and agile #devops 2020 #devops benefits #devops
By now, everyone has heard of Big Data and the wave it has created in the industry. After all, it’s always in the news – companies across various sectors of the industry are leveraging Big Data to promote data-driven decision making. Today, Big Data’s popularity has extended beyond the tech industry to include healthcare, education, governance, retail, manufacturing, BFSI, and supply chain management & logistics, to name a few. Almost every enterprise and organization, big or small, is already leveraging the benefits of Big Data.
According to Gartner, “Big Data are high volume, high velocity, and/or high-variety information assets that require new forms of processing to enable enhanced decision making, insight discovery, and process optimization.”
In essence, Big Data refers to datasets that are too large or complex for traditional data processing applications (for instance, ETL systems). It is characterized by three core features – high volume, high velocity, and high variety. Rapid development and adoption of disruptive technologies (AI, ML, IoT), rapidly-growing mobile data traffic, cloud computing traffic, and high penetration of smartphones, all contribute to creating an ever-increasing volume and complexity of large datasets.
Since the advantages of Big Data are numerous, companies are readily adopting Big Data technologies to reap the benefits of Big Data. Statista maintains that the global big data market will grow to $103 billion by 2027, with the software industry leading the Big Data market with a 45% share. While the global Big Data and Business Analytics market was valued at $169 billion in 2018, it is estimated to rise to $274 billion by 2022. In 2018, nearly 45% of professionals in the market research industry used big data analytics as a research method.
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