Mayank Patel
Feb 23, 2022
5 min read
Last updated Apr 18, 2024
Do you know the challenges a software development company had faced before the foundation of DevOps? We are a prominent cloud service provider in India & USA and hence quite aware of everything.
Also, being a reliable DevOps company in India, we always encourage people to go with the evolving technologies. Hire the best DevOps developers in India exclusively from the panel of our experts.
The biggest challenge was code deployment. You must be thinking, why and how? Once the developer completes the code, he deploys it on the server by being in the coordination of the operations team.
Now, the code created problems during deployment, and a fight between both departments started. The developer said, the problem is because of the server, and the operations team said, the code had created the problem. And the ball is kept roaming from one court to another.
DevOps (Development + Operations) came into existence to rectify this challenge. The main role of DevOps technologies is to maintain coordination between the development and operations teams.
It facilitates an environment where both of them can work in synchronization and no confusion or blame game will take place.
We can define DevOps as a united process where Teams, Processes, and Products will work in synch. Further, it follows CI & CD (Continuous Integration & Continuous Delivery) that adds value to the product.
Apart from that, DevOps accelerates the pace of product delivery as a result of which clients get more time for marketing and building strategies.
DevOps reduces the potential risks because the evolution of Continuous Delivery enables stakeholders to share their feedback at an early stage.
Furthermore, DevOps facilitates common methodologies that include microservices, containers, and cloud computing. However, Linearloop is one of the renowned cloud computing companies.
If you need any support regarding cloud computing services, feel free to get in touch.
As we have mentioned above, bringing two business units (Development and Operations) in coordination is the primary job of DevOps Technologies.
The operations and development team work together during the entire software development process. It starts with design to development to production and finishes with support.
Following the best practices, the ultimate intent of each team and participating member is to achieve the desired goal.
Further, all the stakeholders, clients, and other parties will be in the loop because of continuous integration and continuous delivery.
Both the concepts give them the flexibility to share required feedback as early as possible. As a result, development costs and time, both are saved.
IT industries are aggressively shifting their focus towards DevOps technologies because it has a result-driven approach. Apart from that, DevOps is one of the most demanding technologies because of its versatile features.
Let’s have a look at the benefits of DevOps.
Smooth Coordination: The biggest benefit of DevOps, is well-coordinated communication between the development and operation team. It offers an independent environment to the teams by being in coordination.
Speed: DevOps ensures fast delivery because of Continuous Integration and Continuous Delivery and it is also based on Agile principles.
Increased Reliability: As we know, DevOps follows the best practices for Continuous Integration, Continuous Deployment, and Automation Testing. As a result, we get reliable and robust business application.
Security: DevOps ensures the security of a product by following process automation and compliance policies. Further, if an application is developed using DevOps technologies, its security will never be compromised.
Management of Risk: Another most important benefit of DevOps is the management of risks. It allows early detection of bugs that may create a big problem at the coming stages. Early bug detection saves time as well as cost.
Knowledge of leading DevOps tools is a must. We know programming is all about mindset, but if you have enough information about the tools, your performance will be more impactful.
Code Repositories: Code repositories allow multiple developers to work on the code. Additionally, it gives flexibility to the developers to code in & out, and they will also be able to go back to the older versions.
The tool also keeps the record of modifications made in the code. Developers will be required to monitor the changes so that they can update themselves with the recent change.
Artifact Repositories: Artifact contains the compiled source code for testing. Further, it enables object-based and version-controlled output. Both these approaches made the concept more significant and best practice.
CI/CD Pipeline Engines: The software development process becomes more prominent because of CI/CD. It allows frequent validation and delivery of the application.
Following the approach of continuous integration (CI), developers can build test, and validate the code using a shared repository. No manual intervention is required.
With continuous delivery (CD), quick execution & configuration set up for the release can be achieved. And with continuous deployment, it goes one step ahead. It involves testing, configuration, monitoring, analysis, and provisioning.
Some familiar CI/CD tools are Jenkins, TeamCity, Circle CI, Bamboo, Gitlab, Buddy, Travis CI.
Containers: With the help of Containers, multiple developers get individual infrastructure for development, testing, production, support, etc.
One of the popular containerization software is Docker. However, Microsoft offers multiple options for windows containers. Linearloop has a strong command over Docker development services, and you can hire docker developers for your projects.
Cloud Environments: To execute automated deployment, DevOps follow cloud infrastructure. The most commonly used cloud providers are AWS & Microsoft Azure. Further, Linearloop is also your constant partner for the services.
Also, hire AWS experts in India & USA from here as we have great and experienced people in our team.
As far as, our cloud computing services are concerned, we came in top cloud computing companies in India.
DevOps is one of the evolving technologies, and it has strengthened the software development process. Further, with the implementation of DevOps, the applications become more reliable, robust, focused, and result-driven.
Utilizing our practical experience, we have mentioned best practices for DevOps with its features.
At Linearloop, we aim to work with the leading technologies, and DevOps is one of them. We have delivered countless projects in DevOps across the globe.
Added, we offer end-to-end support for DevOps and Cloud Computing Services. We are a leading cloud service provider in India & USA and if you have any doubt, feel free to connect.
We hope now you have an idea about DevOps and how DevOps work? Also, we will be looking into your queries.
AWS vs Azure vs Google Cloud: Which Cloud Platform is best for your organization?
The adoption of cloud computing has become a major driving force for businesses. Today, applications to drive innovation, reduce costs and increase agility have gone beyond non-premises data centres.
Infrastructure-as-a-service (IaaS) is a model where third-party providers host and maintain basic infrastructure on behalf of the customer, including hardware, software, servers, and storage.
The cloud service provider in USA and India, typically involves hosting applications in a highly scalable environment, where customers are only charged for their infrastructure.
Early concerns about security and data sovereignty have been largely addressed by the ‘big three’ public cloud vendors – Amazon Web Services (AWS), Micro Azure services and the Google Cloud services– to be cautious when it comes to only highly regulated businesses in USA and India to adopt cloud services.
According to the latest figures from research firm Gartner, this will boost the IaaS market, valued at $ 33.2 billion in 2021.
When it comes to AWS vs Microsoft Azure cloud, AWS had dominated for over a year when it entered the segment in 2006.
Now, AWS is the clear market leader globally, accounting for 33% of public IaaS and PaaS market share in Synergy Research Group’s data for the third quarter of 2019. Microsoft follows it at 16 percent and Google at 8 percent.
As far as any cloud service is concerned, it offers good storage capabilities. Let’s take a look at how each cloud platform provides storage capacity:
If you compare AWS vs Microsoft Azure cloud, you can get complete services like Simple Storage Services (SSS) for object budget storage in AWS.
Besides, you can also store your data in Elastic Block Storage (EBS) for persistent block storage and Elastic File System (EFS) for storing files.
With Microsoft Azure services, you get REST-based object budget storage, with unstructured data, queue storage for large amounts of data, file and disk storage, and data lac stores for large applications.
Azure offers a variety of database storage options. It offers three SQL-based options, Data Warehouse Service, CosmosDB, and NoSQL for table storage, Redis Cache, and Server Stretch databases designed specifically for businesses that want a solution to reach SQL server for their database access.
Google Cloud services in USA and India offers an integrated object budget storage service with a permanent drive option. It offers other online transfer services as well as transfer tools like AWS Snowball.
As far as databases are concerned, GCP has an SQL-based Cloud SQL with a relational database called Cloud Spanner, designed specifically for mission-critical projects.
It offers two no-SQL choices: Cloud Bigtable and Cloud Datastore. GCP does not provide backup and archiving services.
AWS has been at the forefront of bringing artificial intelligence and the Internet of Things (IoT) to SageMaker to train employees and deploy machine learning.
It offers a serverless computing environment and the freedom to submit applications from its serverless repository. AWS lets you incorporate a range of IoT Enterprise Solutions for advanced customization.
As we have mentioned earlier, SSR loads application or web pages even more quickly, and thus it helps in improvising the position of the page on various search engines.
It happens because search engines like Google give preference to the online product that opens quickly.
Microsoft Azure services provide cognitive services to enhance artificial intelligence. Cognitive Services is a suite of API-supported mechanisms that give integration with on-premises Microsoft software and business pertinence.
Google’s cloud-based enterprise offers natural language translation and speech benefits to transform global enterprise sync into ML application development.
Furthermore Google cloud services also offer TensorFlow, a large open-source library. Its IoT and serverless platforms are currently in the beta stage.
Also read: How Do You Get a Bare Metal Server?
All platforms come with their advantages and disadvantages that can vary according to the needs of your enterprise. Let’s look at the comparison of AWS vs. Microsoft Azure cloud and Google for their computing.
AWS offers Amazon Elastic Compute Cloud or E2C, which provides high compatibility and advanced level for customizing the cost of databases.
The cloud platform comes with increased scalability, allowing you to scale or down services according to a load of projects. Plus, you can add new patterns in a matter of seconds.
You can track your apps using AWS Auto-Scaling Monitor to measure their potential concerning your current needs without adding a price pad. They offer 99.99% availability in terms of their Service Level Agreement (SLA).
Azure relies heavily on a network of AR and VR machines that enable computing solutions for development, testing, application deployment, and data center expansion.
Microsoft Azure services are based on open-source platforms that provide compatibility with Linux and Windows Server, SQL Server, Oracle and SAP.
Google Cloud specializes in Kubernetes containers and supports Docker containers. In the USA and India, Google cloud services offer resource management and application deployment to add or subtract in real-time environments.
You can also deploy code from Google Cloud, Firebase or Assistant.
Related Topic :
ReactJS Vs React Native: What’s the Difference?
When choosing a cloud platform for your enterprise or Organization, choose the right cloud service provider that fits your budget and offers you the right services.
Study all the features that each platform offers, see what can meet the needs of your enterprise, and then choose accordingly. Also, analyse your organizational needs to see which platform best fits your needs.
Mayank Patel
Sep 15, 20234 min read
Docker VS Kubernetes: What’s The Difference?
Those who are interested in containers and cloud-native technologies must be keen to know about Docker and Kubernetes. Also, Docker Vs Kubernetes is one of the most demanding topics and today will look into the same.
However, our wide range of cloud services includes Docker and Kubernetes as well.
We have seen people looking to enhance their knowledge about these two DevOps technologies and their difference. Further, at Linearloop, you can hire Kubernetes developers who will execute the project in the most optimized way.
Being a leading cloud service provider in India, we always maintain quality and transparency throughout the development process. Prior to going for the difference between Docker and Kubernetes, you must understand these concepts individually.
When it comes to containers, Docker is always there. It is a software platform that supports the development of the application through a small and lightweight environment.
It is open-source, and developers prefer it for the packaging and distribution of applications that need to be centralized.
Further, the concept facilitates a shared operating system kernel, and each process runs individually without any dependency on the other. If we go in history, Docker came into existence in the year 2013. and since then, the life of developers is a little easier.
Now they have a provision to create a package for the entire application and execute it on any machine. As far as, Linearloop is concerned, we have a talented team of DevOps and hire the best docker developers in India from here exclusively.
Further, the concept of Docker revolves around four points. Many people are not aware of these concepts, hence have a look. If you already know, it is incredible.
Important terms used in Docker Swarm: Knowing exact terminologies is always essential, and being a growing cloud service provider in India, we know its significance. So always pay attention to it.
Google is behind the foundation of Kubernetes and is an open-source that fulfills the purpose of containers deployment, operations upscale, and cluster-wide embedding all automation.
Being a technocrat, you must be knowing that applications have thousands of containers, and each has its defined instance, control, and management. Management of all these tasks is not simple, and hence Kubernetes is involved to manage and up-scale the features.
Also, at Linearloop, we have the world’s best Kubernetes developers who analyze your project from ground level and build it accordingly. Next time whenever you want to hire a Kubernetes developer in India, we are here.
Also read: Role of DevOps in Mobile App Development
Let’s know some important terms used in Kubernetes:
So far, we have understood the concept of Kubernetes and Docker in detail. Now we will move towards differences. So, the upcoming section will cover the detailed comparison of Docker Vs. Kubernetes.
Hence, if you are searching for the difference between Docker and Kubernetes, the below-mentioned section will be helpful. Further, if any point keeps you in doubt, contact us immediately. We will do our best to sort out the issue.
We will analyze both concepts on various parameters. Comparison of different parameters is essential because each technology has its own significance.
Let’s have a look
| Kubernetes | Docker |
| Kubernetes need a manual installation process to set up worker nodes components and Kubernetes Master. | Docker needs only a single line command for installation on operating systems like Linux, Ubuntu, CentOS. |
| Various systems support Kubernetes and it can easily run on the personal laptop, virtual machines, and even bare metal servers | In order to install a single-node Docker Swarm, the user can deploy Docker for Windows or Docker for Mac |
| Here the support for Windows is under the Beta phase | Here developers get support for Windows 10 long with the server (windows) 2016 & 1709 |
| A manual upgrade is needed for the client & server packages on all the systems | The up-gradation in Docker is easy. With a single click, you can upgrade docker-engine in mac as well as windows. |
| Installation becomes complex and challenging | Installation is easy and quick |
| Kubernetes | Docker |
| The functioning of Kubernetes revolves around the application level rather than on hardware level. | Two editions are there, at which Docker platforms work. The first one is Docker Community Edition & the second one is Docker Enterprise Edition |
| It offers support for various workloads that include data-processing, stateful, stateless workloads. | Community-based support forums are for Docker Community and Docker Enterprise Edition is served as enterprise-class support having fixed SLAs. |
| If you know the CLI (command-line interface) you can run Kubernetes on the top of Docker. | Both the editions of Docker come with Docker Swarm mode by default. Further, Docker Enterprise Edition supports Kubernetes |
| Selection will depend on the requirement | Selection will depend on the requirement |
| Kubernetes | Docker |
| Kubernetes works as one size that fits all for the development methods having distributed structure. Further, several groups of APIs are behind the scene that guarantees the cluster state. As a result of the bigger size, the speed of deployment compromises and scalability suffers | Independent of the size of the cluster, the deployment process with Docker Swarm is always fast. With faster deployment, the response time of the application becomes quick and as a result, its scalability increases. |
| The scalability of an application degrades with Kubernetes | The scalability of an application enhances with Kubernetes |
| Kubernetes | Docker |
| Kubernetes follow a manual approach and hence load balancing becomes challenging here. In order to initiate the load balancing you need to make the configurations manually | Docker follows automated processes and it performs exceptionally well for load balancing. Further, it comes with prebuilt features that support load balancing and it makes the concept more advantageous than Kubernetes. |
| Based on the defined containers pods as services, the process of load balancing is initiated by Kubernetes | Here containers have the flexibility to join any node of the application. |
| It follows the manual approach | It follows the automated approach |
These are some major differences between docker and Kubernetes. As we have stated earlier, each technology has its own significance. Further, the selection of any technology is dependent upon the requirement of your project.
Being a reliable software product development company in USA, we always recommend analyzing the project’s requirements and choosing whatever is best for the project.
Further, if any query comes to your mind, we are always there with the solution. Feel free to connect.
Mayank Patel
Sep 15, 20235 min read
