Edge Computing – DevopsCurry

Top Trending Best 6 DevOps Trends In 2024

Shiwani Sharma — Wed, 19 Jun 2024 09:47:16 +0000

DevOps Trends In 2023

As already we have many blogs where we have discuss about DevOps but still we are going to share some information about DevOps and I am sharing some of the blogs link for your reference.

https://devopscurry.com/devops-2023-a-complete-guide-to-transition-from-a-sysadmin-to-devops-role/

https://devopscurry.com/integrating-ai-into-the-devops-lifestyle/

What is DevOps?

A Process that integrates IT operations, practice, tools, and software development And contributes the outstanding characteristics of software with endless delivery. It characterizes the take on the renewal of programmable infrastructure and expenditure, software development, and industrialization. In a company, it stimulates alliance and transmission.

DevOps have some procedures such as the CI/CD tool (Continuous Integration/ Continuous Delivery) with an intensity of task automation. Microservice, Container, and Executing together with the DevOps methodologies. Though it is clear that it has some methodologies, it is not a technology. The two words define DevOps (software development and Operations) and in other words, you can say the assortment of software development and operation is known as DevOps.

It enhances the speed and quality of the application that has been delivered to an enormous extent and that’s why it’s becoming more prominent for the organization. It provides you with faster speed, security for your code, and delivered quickly, these are some of the important features of using DevOps.

Top 6 DevOps Trends In 2023

GitOps

GitOps is an open-source control system that delivers a bundle of techniques to enroll in monitoring and management for the application, deployment, and work by utilizing it. Gitops operates as a distinct origin of truth for code to deliver the prevailing control over the production environment.

One of the other features of GitOps is the absence of manual intervention that heals the deployment from the downfalls and feeling more confident in the delivery system. GitOps is practically DevOps best practices that is used for application development as like CI/CD tools, version control etc.

Kubernetes

It’s open-source and one of the extensive popular containers which you can find as a service with all the providers of the cloud. Kubernetes is a word taken from Greek which means the pilot and it was formulated in 2014 by Google for operating the application which is operating inside the container, automating deployment etc. Now a days at least 45-55% developers uses Kubernetes for container orchestration.

Edge Computing

The term edge means nothing and everything. This word edge creates a buzz such as a cloud, loT. Edge computing helps to allocate the computing framework that gives rise to enterprise applications that are far near to data sources such as the local edge servers and IoT devices. These data sources provide many profits to the organization such as developed comeback time, sufficient presence of bandwidth, faster insights.

In another word, it is computing that is completed or near the source of data. It means the cloud is closer to you or arriving at you, it doesn’t mean the cloud will dish. The mobile edge or the edge computing is computing on the higher network that is 5g network that is extra extensive data analysis and facilitates sooner, that enhances the experience of the customer, provides the faster response time and establishes the chance for deeper insights.

Cloud Native

This technology is all about skill, speed and improving the way of designing a very important system of business. The procedure of business is developing from facilitating the skill of business to existing some strategic modification that helps to stimulate the speed and growth of business and instantly it provides the ideas to the market. There are some features and pillars or points that procure the bedrock for cloud-native systems that are the Microservices, Containers, Backing services, Automation and the last one is Modern design. Cloud-native is one of the important themes in software development and it is the outlook of software development. It has changed the procedure and the way we understand the operating software product, deploying, developing.

Cloud-native affects the operation of your application, design, deployment and enactment. This provides all this not only operating the prevailing application and many more. Providing the benefit of the cloud computing model, the cloud native is the way to create and operate an application.

Serverless Computing

As the name suggests, in Serverless computing, the services and the application were produced and operated without mandating server management which conducted the fastest and quicker deployment. It has the ability to produce the DevOps pipeline code and converted the process of DevOps by facilitating quicker development and improving its scalability.

Serverless product means “NO server, no worries.” You can only concentrate on your application. By using serverless, you can capture numerous files without have to worry about hard drives or thinking of where to store these files or data. Many companies already had used Serverless in production and these companies are AOL, Netflix & Reuters etc. Serverless is best for applications with variable workloads, where resources are only required occasionally or in response to some specific event.

Conclusion:https://www.spiceworks.com/tech/devops/articles/what-is-serverless/#lg=1&slide=0

SRE ( Site Reliability Engineering)

SRE is known as Site reliability engineering. The team of SRE works as a tool that uses the software for unravelling any difficulties and managing the system. Through coding, it supports regulating huge systems that control a bundle of machines or you can say more than thousands of machines. It has many more similarities to DevOps. Site reliability engineering was inaugurated by Ben TreynorSloss and the idea of SRE came from Google Engineering. The engineer who is working on Google has written SRE. There are two terms and components which are very valuable for SRE are automation and standardization. They always want to work in two ways either to automate operations tasks. It helps the team for its movability means if a team wants to move from a traditional approach to IT operations to a cloud-native method, then the SRE supports their team for that. For enhancing the integrity of software and the infrastructure which operates it and SRE furnishes incentive and expensive input.

Conclusion

As we look towards 2024, the evolution of DevOps continues to shape the landscape of software development and IT operations. The top trending DevOps trends highlight the growing importance of automation, AI, security, and collaboration in driving efficiency and innovation. From the integration of AI and machine learning to enhance predictive capabilities and automation, to the increased focus on DevSecOps and GitOps for seamless, secure, and scalable operations, the DevOps ecosystem is rapidly advancing.

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Edge Computing

Shiwani Sharma — Mon, 15 Apr 2024 04:38:55 +0000

What is Edge Computing?

Before introducing the term and the concept of Edge computing, we must first understand the meaning of “edge.” The term “edge” is both ambiguous and all-encompassing. This word “edge” generates a buzz similar to that of the cloud and IoT. Edge computing helps allocate a computing framework that facilitates enterprise applications that are situated close to data sources, such as local edge servers and IoT devices. These data sources offer various benefits to organizations, including improved response times, ample bandwidth availability, and faster insights.

In other words, it entails computing that occurs either at or near the source of data. It means that the cloud is either closer to you or coming to you, rather than being distant and inaccessible.

Edge devices consist of three layers: the edge layer, the fog layer, and the cloud layer. Initially, edge devices communicate with the edge gateway in the edge layer. Subsequently, the signal is relayed from the edge gateway to the fog nodes in the fog layer. Finally, this data is transferred to the cloud or data center in the cloud layer. Mobile edge or edge computing takes place on advanced networks like 5G, enabling extensive data analysis and faster, enhanced customer experiences, quicker response times, and deeper insights.

The Benefits of Edge Computing

There are five significant benefits of edge computing: security, speed, cost savings, scalability, and bandwidth efficiency. Let’s discuss these advantages in more detail.

Security

Having less data traversing the entire network enhances security. When all data is stored in one location, the main focus is on security, safeguarding the local data of smart product manufacturers. With more distributed data on the network, the risk of a breach increases, even if an appliance is compromised. This also assists organizations in addressing local compliance and data autonomy issues.

Speed

Edge computing reduces the burden on an organization’s network traffic, which, in turn, enhances the performance of its services and applications. Speed is crucial for essential business operations, especially for companies offering data-driven services. Slow speeds can dissatisfy customers and negatively impact a company’s reputation.

Cost Savings

Not all data within an organization holds the same value, and categorizing data for management purposes can result in cost savings. Edge computing allows data to be categorized, reducing the need for costly bandwidth and eliminating redundant storage costs.

Bandwidth Efficiency

Many organizations use significant bandwidth for less important data. Edge computing helps optimize bandwidth usage by prioritizing critical data transmission.

Versatility

Edge computing’s scalability is vital for versatility. It empowers IoT devices to collect vast amounts of data continuously, ensuring data is available for further analysis, eliminating the need for constant interaction with cloud servers.

Offline Operation

This benefit is one of the best benefit of edge computing, it allows the application to manage even when there is no internet connection or central data center. User can utilize it in any places either having internet services or not. In the other words we can say it provide the continuity of services in remote or isolated location.

Uses Cases Of Edge Computing

Some important uses cases of Edge computing are as follow:

Industrial Automation: In the industrial and in manufacturing line, edge computing is utilized for the actual time monitoring and processes and control of machines. It allow predictive maintenance, optimization of manufacturing operations and quality control.

Healthcare: Edge computing is utilized in healthcare to monitoring the patient for remote basis, telemedicine’s and using health devices and it also provide the correct data analysis and some quick alert to the tough condition arise from medical.

Agriculture: Edge computing also plays an important role in agriculture to monitor crop health, soil conditions and whether in actual time. It also help in allotment of resources as well as doing farming practices. It helps in different type of agriculture such as in Precision Agriculture and in this type soil and crop health monitoring etc. are included and it is helpful in every types of agriculture.

Though there are many use cases for several industries, we have mentioned few ones to you and these are industrial automation, healthcare, agriculture

Image Credit:https://innovationatwork.ieee.org/real-life-edge-computing-use-cases/

In the above image you have seen the real-life use cases for Edge Computing. There are many loT devices that is manage by cloud and data center.

Edge Computing vs. Cloud Computing

Image Credit:https://www.orientsoftware.com/blog/edge-computing-vs-cloud-computing/

As you have seen the differences in the above images, now you will see the differences as mentioned below :

S.No.	Edge Computing	Cloud Computing
1	Its platform is its own devices.	It operates in a cloud platform, such as Amazon EC2, Google Cloud, etc.
2	Normal reaction time is in milliseconds.	Normal reaction time is also quick, but not as fast as edge computing, typically in minutes or days.
3	Concerned with networking operations and deploying data handling near the network’s edge.	Provides computing resources on demand, including storage, databases, servers, etc.
4	Requires less bandwidth compared to the cloud.	Cloud computing demands more bandwidth.
5	Access occurs at the end of the appliance, such as the smart sensor.	Access occurs on the main server and headquarters.
6	Emphasizes robust security.	Does not emphasize robust security and safety.

Conclusion:

Edge computing allows the deployment of computing resources closer to data sources, such as local edge servers and IoT devices, resulting in advantages like improved response times, ample bandwidth availability, and faster insights. Throughout the article, we’ve explored the fundamental concept of edge computing, its benefits, and its comparison with cloud computing. We’ve also examined its diverse applications across various industries, including healthcare and autonomous vehicles.

The post Edge Computing appeared first on DevopsCurry.

Top 6 Cloud Native Technologies Used in 2023

Shiwani Sharma — Sat, 21 Oct 2023 05:22:36 +0000

To learn about the cloud-native technologies used in 2023, let’s first gain an understanding of what cloud-native means.

What is Cloud Native?

This technology is all about skill, speed, and improving the way of designing crucial business systems. The process of business is evolving from enhancing the business’s capabilities to introducing strategic changes that boost the speed and growth of the business and, simultaneously, bring innovative ideas to the market. Several features and pillars provide the foundation for cloud-native systems: Microservices, Containers, Backing services, Automation, and Modern design. Cloud-native is a vital theme in software development, representing the future of software development. It has transformed how we approach operating software products, deployment, and development.

Image Credit: https://medium.com/velotio-perspectives/cloud-native-applications-the-why-the-what-the-how-9b2d31897496

Cloud-native influences application operations, design, deployment, and performance. It not only manages existing applications but also offers much more. Leveraging the benefits of the cloud computing model, cloud-native is the way to create and operate applications.

Here are the top 6 cloud-native technologies being used in 2023:

Kubernetes

Kubernetes is an open-source platform and one of the most widely used container orchestration solutions available as a service from various cloud providers. The term “Kubernetes” is derived from Greek, meaning “pilot.” Google introduced Kubernetes in 2014 to manage applications within containers, automate deployment, and more. It plays a pivotal role in the cloud-native ecosystem.

CI/CD Pipelines and Tools

CI and CD represent continuous integration and continuous delivery, respectively. These tools initially targeted desktop applications and have expanded to encompass web and cloud services. The combination of continuous integration and continuous delivery streamlines software development, automating code integration and delivery for quicker transitions from development to production. CI involves ongoing testing during code creation, while CD automates testing and deployment after code completion.

Edge Computing

Before introducing the concept of Edge computing, let’s first understand the meaning of “edge.” The term “edge” is both abstract and all-encompassing. It generates excitement akin to that of the cloud and IoT.

Edge computing helps allocate computing resources closer to data sources, such as local edge servers and IoT devices. This proximity offers several advantages to organizations, including reduced response times and improved bandwidth availability.

Edge devices operate across three layers: the edge layer, fog layer, and cloud layer. Data flows from edge devices to the edge gateway, then to fog nodes on the fog layer, and finally to the cloud or data center on the cloud layer.

Mobile edge or edge computing operates on advanced networks, such as 5G, facilitating extensive data analysis, faster response times, and deeper insights.

The Benefits of Edge Computing

Edge computing offers five key benefits: enhanced security, speed, cost savings, bandwidth efficiency, and versatility. Lets discuss all these below:

Providing the security: The fewer quantity of data that has to roam over all the network has a plus point to access more security. All the data is to stock in one point and the main point is security and secures the local data of the manufacturers of smart products. If on the network more data will be distributed then there is a more chance of arriving at the risk in a single moment and during the transit, the fewer data will be interacting and even if the appliance is compromised. It also supports the organization to survive the problems of local compliance and the problems of data autonomy.

The speed: Edge computing helps to decrease the load of the traffic of your organization at large which enhances the creation of all the services and applications of your organization and for the essential business of the company speed is essential as well it’s an advantage for the company. Those companies who give the service as data-driven to the customer and having low speed will not satisfy the customer and that badly impacts your company. That’s why speed plays a key role in the business.

It saves cost: All the data in an organization does not save and does not have the same values, so every data has a different price. Edge computing permits your data to be categorized by the viewpoint of management by retaining the amount of data within your location and for connecting to all your location you have to decrease the necessity for having more price bandwidth and translates immediately into dollars. Edge computing also supports decreasing a few levels of data monotony and when you decrease the redundant storage then automatically decrease the redundant cost.

Protection of bandwidth: We are using a lot of bandwidth for potentially not very important data and we are formulating a tremendous amount of data but not all the data is significant. Versatility The edge computing scalability also has an important role in versatility. It empowers IoT appliances to collect unusual quantities of data. They always create data for further analysis instead of staying for the people to log in to the system and interact with the cloud server and always the computing devices in on and constantly related.

Service Mesh

A service mesh acts as a tool for managing data sharing within different parts of an application. In a microservices architecture, service mesh handles communication between services, including data encryption, load balancing, and service creation.

Benefits of a Service Mesh

Some benefits of a service mesh include:

Providing security in service-to-service communication by supporting secure business operations through mutual TLS within the network.
Enabling faster service delivery to the market, thus enhancing developer productivity.
Improving system optimization and simplifying debugging.
Enhancing detailed interactions through improved transparency in a cloud-native environment.

Machine Learning (ML) & AI in the Cloud

Machine Learning (ML) enables computers to perform tasks without explicit programming by recognizing patterns and making decisions based on data. Cloud providers offer machine learning and AI capabilities, allowing developers to integrate these technologies into their applications without starting from scratch.

Serverless Computing

Serverless is a cloud-native development model, also known as Function as a Service (FaaS). Developers can operate applications and functions without managing servers in detail. Prominent Serverless platforms include Google Cloud Functions, IBM Cloud Functions, and AWS Lambda.

To understand the concept of Serverless, let’s first define “Server.”

A server is a computer designed to provide services to others on networks, such as web servers, mail servers, and file servers. However, servers can be inflexible and challenging to scale. Cloud-based Serverless products offer a solution, allowing developers to focus on their applications without worrying about server management.

Conclusion: The cloud-native technologies mentioned above are shaping the technological landscape of 2023, offering innovative solutions for various aspects of modern software development and deployment.

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