CI/CD – DevopsCurry

“Kotlin: A Comprehensive Guide to Modern Programming”

Shiwani Sharma — Tue, 01 Oct 2024 10:04:55 +0000

What You Should Know About Programming Kotlin : A Beginner’s Guide

Kotlin is an object-oriented, open-source programming language introduced by JetBrains in 2011. It is designed to run on multiple platforms, including Microsoft Windows, iOS, Android, JavaScript, and watchOS. One of Kotlin’s standout features is its full interoperability with Java, allowing developers to seamlessly integrate Kotlin code with existing Java projects. However, many developers consider Kotlin to be an improvement over Java due to its enhanced features and more modern syntax.

Image Credit: https://www.openxcell.com/blog/what-is-kotlin-programming-language/

Kotlin is especially well-suited for Android development, where it provides excellent support and is widely preferred for creating Android applications. This statically typed language is free to use and emphasizes safety, reducing the risk of common coding errors. Kotlin was developed to run on the Java Virtual Machine (JVM) and Android, making it highly versatile. Some of its key features include lazy evaluation, operator overloading, lambda expressions, and higher-order functions. It can also automatically generate boilerplate code such as hashCode() and toString() methods, streamlining the development process.

One of Kotlin’s major advantages is its statically typed nature, meaning you don’t need to explicitly declare the type of every variable. This helps in writing cleaner, more concise code. Several renowned companies, including Pinterest, Google, Uber, and Kickstarter, have adopted Kotlin for their projects, highlighting its growing popularity and reliability in the industry.

Kotlin Releasing History(programming)

S.No.	Kotlin Version	Releasing Date
1.	Kotlin v1.2	28 November 2017
2.	Kotlin v1.3	29 October 2018
3.	Kotlin v1.4	7 May 2019
4.	Kotlin v1.5	May 2021

Advantages of Kotlin (programming)

Easy to Learn
Kotlin is designed to be simple and intuitive, making it easy for developers to learn, especially those familiar with Java. It doesn’t just aim to replace Java but rather enhances it, offering all the essential features that Java provides in mobile applications. This makes the transition smooth for developers already accustomed to Java.
Boosts Team Productivity
Kotlin significantly enhances team productivity as it allows developers to write less code while achieving the same functionality. This not only reduces development time but also helps teams generate cleaner, more efficient code with fewer errors.
Requires Less Code
One of Kotlin’s greatest strengths is its concise syntax. Developers can write less code, which improves the readability of the codebase. The simplicity and reduced verbosity make it easier to maintain and understand, leading to more efficient development processes.
Supports Multiple Platforms
Kotlin is widely recognized for Android development, but its capabilities extend beyond that. Developers can write Gradle scripts in Kotlin, enabling cross-platform development, including iOS. This flexibility makes it a strong choice for projects that target multiple platforms.
Improved Safety Features
Compared to Java, Kotlin places a stronger emphasis on safety. It helps prevent common programming errors, such as null pointer exceptions, making applications more reliable and less prone to crashes.
Cost-Effective for Businesses
Kotlin is a cost-effective option for businesses, as it reduces the time and effort needed to develop applications. Additionally, it includes a converter that easily translates Java code into Kotlin, allowing businesses to migrate their existing applications seamlessly. This saves time and resources when transitioning between platforms, offering greater flexibility for future updates.

Disadvantages of Kotlin

Steeper Learning Curve for Beginners
While Kotlin is easy to learn for those familiar with Java, beginners might find it challenging due to its advanced features and slightly complex syntax compared to simpler programming languages.
Smaller Developer Community
Although Kotlin is growing in popularity, it still has a smaller community compared to Java or other established languages. This means fewer resources, libraries, and support for solving issues that may arise during development.
Slower Compilation Speed
Kotlin’s compilation speed can sometimes be slower compared to Java, particularly in cases where it interacts with large codebases or during incremental builds.
Limited Tooling Support
Although Kotlin is well-supported by IntelliJ IDEA and Android Studio, there are still fewer tools and frameworks available for Kotlin compared to Java, especially when it comes to older libraries or niche development needs.
Interoperability Issues
While Kotlin is designed to be fully interoperable with Java, in certain complex projects, developers may encounter compatibility issues when integrating Kotlin into existing Java codebases, requiring additional effort to resolve.

Conclusion:

Kotlin has emerged as a powerful and versatile programming language, particularly in the realm of Android development. Its concise syntax, enhanced safety features, and compatibility with Java make it a strong choice for both new and experienced developers. While it may have some challenges, such as a steeper learning curve for beginners and limited community support compared to Java, its benefits in terms of productivity, cross-platform capability, and reduced code complexity are undeniable. As Kotlin continues to grow in popularity, it is becoming an essential tool for modern mobile app development, offering developers the flexibility and efficiency needed to create high-quality applications.

The post “Kotlin: A Comprehensive Guide to Modern Programming” appeared first on DevopsCurry.

Blue-green Deployment Explained: The Secret to ZERO Downtime

Wed, 25 Sep 2024 03:52:14 +0000

This article talks about what is blue-green deployment and how it helps to reduce downtime to improve end-user experience.

Introduction to Blue-green Deployment

Frequent and quality deployments are a core principle of DevOps. However, whenever you need to deploy a new version, you must stop the current one first. This leads to significant downtime for the end user and can affect customer experience. Moreover, if any bug or error is found after release, it will require additional downtime to withdraw the updated version and switch back to the old one. This process is how newer versions of the application were deployed conventionally.

A modern approach that solves the problem of downtime and time-consuming rollback procedures is blue-green deployment. Although a bit complicated, blue-green deployment requires ‘zero’ downtime and makes rollbacks easier, thus ensuring seamless user experiences.

But how does it work?

How does Blue-green Deployment Work

Blue-green deployment involves 2 production environments:

‘Blue’ environment is the old/active environment.
‘Green’ environment is the newest environment that needs to be deployed.

As per the traditional method, the blue environment should be stopped first and the green environment should be deployed in its place. However, in blue-green deployment, the green environment is deployed alongside the blue one so that both of them run simultaneously. Then, the user traffic is gradually shifted from the blue environment to the green one. Once all of the traffic has been successfully shifted to the green environment, the blue environment is finally withdrawn. Therefore, there occurs no downtime for any user as both the old and the new versions stay active.

The following illustration depicts how traffic is shifted from the blue environment to the green environment…

Image credits: What is Blue/Green Deployment?

But I also mentioned that it makes rolling back easier in case of bugs, right? How does that work?

So, when the traffic is being shifted from the blue environment to the green one, the latter is closely monitored for any signs of errors or bugs. If any of them occurs, whatever traffic that lies in the green environment is shifted back to the blue environment. The green one is then rolled back for redevelopment and retesting. In this way, blue-green deployment makes rolling back easier in case of bugs that might have bypassed the testing phase but are evident only when actual users interact with it.

All the steps involved in blue-green deployment can be summarized as follows…

Image credits: Blue-green deployment

Benefits

The following are the main advantages of blue-green deployment:

Rapid releases: Earlier, development teams had to wait for off-peak times like midnight to deploy new features so that the downtime affects minimum user traffic. But with blue-green deployment, new versions can released spontaneously without any risk of downtime. That said, it helps to achieve continuous delivery (CD).
Easier rollbacks: As discussed before, blue-green deployment makes rolling back updates simpler without requiring any additional downtime. It makes the deployment process even more risk-free.
A/B testing: A major advantage of blue-green deployment is that it allows for A/B testing. For this, a new code is loaded into the blue environment instead of the green one. A part of the traffic (usually 50%) is sent to the green environment while the other half remains in the ‘newer’ blue environment. Then both of these environments are monitored to decide which one works best and appeals to the audience more.
Improved customer experience: Overall, blue-green deployment helps to improve user experience by limiting downtime and providing 24/7 availability.

Challenges & Limitations

Although blue-green deployment sounds ideal, it comes with a few challenges and limitations:

Demanding: Using the blue-green deployment approach can be expensive as it requires you to keep two nearly identical environments active simultaneously. Also, it requires smooth and effortless coordination between the teams and its members.
Set up time: Initially, setting up blue-green deployment can be a time-intensive process and may require many tries before it is perfected.
Complex traffic routing: Moving traffic from one environment to the other (traffic routing) smoothly can be a complex task and may sometimes cause latency issues. Tools like load balancers may have to be used.
Not applicable to all applications: Blue-green deployment is difficult to apply in the case of stateful applications. This is because if a user is active in the blue environment, his/her user session may get interrupted or lost after making the switch to the green environment.

Conclusion

Blue-green deployment is a modern solution that effectively addresses the downtime problem, ensuring a smoother and more reliable user experience. By running two environments in parallel and switching traffic seamlessly between them, it eliminates the need for downtime during updates. It comes with an added advantage of easier rollbacks which makes it suitable for teams looking to improve their deployment efficiency. While it does have its limitations, such as infrastructure costs and setup complexity, the overall benefits make it a powerful strategy for delivering continuous and uninterrupted services.

The post Blue-green Deployment Explained: The Secret to ZERO Downtime appeared first on DevopsCurry.

5 DevOps Mistakes That Could Hurt Your Culture

Fri, 20 Sep 2024 05:22:28 +0000

In this post, we will be listing out the top 5 DevOps mistakes you should avoid to create a smooth and successful DevOps culture.

Top 5 DevOps Mistakes to Avoid

Photo by Francisco De Legarreta C. on Unsplash

DevOps has revolutionized the way modern software development works. It has brought development and operations teams closer enough to communicate and collaborate effectively toward a common, shared goal. However, as with any novel approach, there are potential pitfalls that can trip you up if you are not careful. Whether you’re new to DevOps or looking to optimize your current infrastructure, avoiding certain common mistakes is crucial to creating a smooth and successful DevOps culture. In this post, we’ll dive into 5 key mistakes that many teams make and provide tips on how to avoid them, to ensure a smooth DevOps journey.

Mistake 1: Inadequate monitoring

Bugs and errors are bound to happen, even with the best developers and tools. That’s why monitoring is crucial for detecting and resolving these issues promptly. It involves continuous collection and analysis of data on system health and performance. Monitoring and observability tools measure various parameters and metrics such as CPU utilization, load speed, and uptime/downtime.

Inadequate monitoring may allow some smaller problems to go unnoticed which may lead to major issues later. Hence, a robust monitoring system is necessary to keep all processes and the infrastructure under check.

Mistake 2: Ignoring automation & tooling

Automation is integral to DevOps culture. It involves using tools that can be programmed to carry out certain repetitive processes without requiring much human interference. Tools can automate tasks like testing, security checking, deploying, backing up, and scaling.

However, many businesses, especially small-scale ones, might avoid using automation for various reasons. Firstly, because automation tools demand high initial costs. Setting up the automated system across the software development process requires time and expert interference. The expert may be hired from outside, or in-house employees may be trained, which, again, takes both time and money. Moreover, legacy systems can also act as an obstacle to adopting automation tools. These systems work well with the business but because of their rigidness and inflexibility, they are difficult to integrate with newer technologies (like automation tools).

However, regardless of these reasons, businesses should consider the long-term benefits of automation as they can help save significant time, cost, and manual workforce.

Mistake 3: Overlooking security

Ignoring security can lead to vulnerabilities that hackers can exploit. There are various techniques to ensure security across the software development process.

DevSecOps refers to an approach where security is prioritized in a DevOps environment by integrating security practices into every step of the DevOps lifecycle. It is also referred to as ‘shifting security to the left’ which means shifting security testing to earlier stages in the development process. It involves using automated security testing tools and continuous monitoring of infrastructure to detect any security threats.

Mistake 4: Prioritizing speed over quality

Smaller and newer businesses may frequently develop and deploy new features, but this may come at the cost of stability and quality. As a result, it can lead to higher failure rates and spending maximum time on fixing bugs and errors. Low-quality services and irrelevant features can hamper customer experience and satisfaction. Ultimately, it can negatively impact the business’s competency in today’s competitive market which prioritizes quality over speed.

Mistake 5: Not understanding what DevOps actually is

Image credits: What Is AWS DevOps? Everything You Need To Know

Many businesses think of DevOps as a technology that a DevOps professional can install and DevOps will turn out magically. However, it’s not that simple. DevOps is an entire culture, a set of practices and philosophies that encourages collaboration between different software development teams. That said, a successful DevOps environment does not necessarily require a separate team. It is, instead, the duty of every team member to contribute to the DevOps culture. The various technologies are only different ways to assist the DevOps philosophy. However, it’s the responsibility of the team members to incorporate and implement these technologies with minimum resistance.

Conclusion

Avoiding these common DevOps mistakes can greatly improve your team’s efficiency and overall success. By focusing on proper monitoring, using automation tools wherever you can, prioritizing security, balancing speed with quality, and understanding that DevOps is more than just tools, you can ensure a smooth and effective DevOps culture. Moreover, DevOps is about continuous improvement, so regularly revisiting and refining your processes is key to staying ahead in today’s fast-paced development environment.

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Enterprise DevOps: Why is it Important for Large Businesses

Wed, 18 Sep 2024 04:23:54 +0000

We have already talked about DevOps and DevOps toolchain. In this article we will be discussing DevOps for enterprises or Enterprise DevOps, why is it important, and best practices.

Introduction to Enterprise DevOps

Traditionally, the IT development team and the IT operations team worked in ‘siloed’ i.e. isolated environments. The former focused on developing newer codes as quickly as possible, while the latter tried to deploy these codes without losing the stability of the application. Both of the teams focused entirely on their goal, thus lacking communication. However, this led to slower releases which ultimately affected the business as a whole.

Hence, DevOps was introduced as an approach to bring the two teams close enough for them to collaborate towards a common goal. It can be defined as “…the combination of cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications and services at high velocity…” (AWS)

Image credits: Enterprise Devops

In smaller businesses, DevOps principles are easier to incorporate as the number of people is less with their scope of work often overlapping with each other. In larger businesses, however, a specialized team is set up to handle specific aspects of the software development process. DevOps becomes much more complicated to execute in this case, thus giving rise to a special term called ‘Enterprise DevOps’ which refers to the implementation of DevOps practices and principles in large-scale organizations or enterprises.

Why is Enterprise DevOps Important

Some of the challenges typical to larger businesses or enterprises that make Enterprise DevOps crucial are as follows:

Large businesses need to release updates frequently to maintain their competitive edge in the market without compromising existing services. This is known as continuous development (CD).
These businesses involve several processes or tasks that may be time-consuming and labor-intensive. Enterprise DevOps helps to automate these tasks, thus saving time, effort, and labor costs.
Bigger companies often involve several teams handling their own set of tasks and responsibilities. So that it doesn’t lead to isolated or ‘siloed’ work environments, enterprise DevOps ensures smooth communication and collaboration between them.
Enterprise DevOps allows for both horizontal and vertical scaling ensuring established companies are ready for unexpected traffic spikes.
Enterprise DevOps helps to detect, diagnose, and resolve issues faster, thus minimizing downtime and ensuring rapid recovery.

Enterprise DevOps Best Practices

Following are some of the best practices for implementing DevOps in an enterprise ennvironment…

Test automation

In traditional software development processes, the application was tested manually once it was completely developed. If any issue was found during this testing (as was the case often), the app had to be sent for resolving and redeveloping again. This led to slower releases and increased time to market.

Test automation refers to automated testing using various tools like Selenium. It allows for continuous testing alongside continuous development. Test automation helps to reduce failure risk and prevent bottlenecks.

Continuous monitoring

While test automation helps to detect anomalies in the application during development, continuous monitoring helps to detect them after deployment. It involves using tools that monitor various application metrics like CPU utilization, network throughput, latency, traffic, etc. Monitoring helps developers detect bugs in real time, thus allowing them time to fix those bugs quickly.

Another term related to monitoring is observability. While monitoring involves continuous collection of data, observability also takes into account the historical data. Hence, observability provides much deeper insights than monitoring. However, although observability has a wider scope, it cannot function without monitoring.

DevSecOps

Security is paramount in an enterprise environment as it involves faster release cycles and multiple stakeholders. Hence, instead of leaving security as an afterthought in the software development process, it should be integrated into every step. This is known as DevSecOps, a DevOps approach that prioritizes security. ‘Shifting security to the left’ is also often used to refer to the early on addressing of security issues during the development process, alongside code writing and testing. DevSecOps can be implemented through automating security testing and continuous monitoring.

Containerization & Microservices

Large enterprises require scalable and flexible infrastructure to deal with sudden spikes in traffic. Microservices architecture is an approach that involves distributing the application into several independent services, each handling a specific business function. It allows the scaling up of individual services with no need to scale the application as a whole. Other complementing technologies include containerization tools like Docker and Kubernetes, and serverless computing.

Standardize toolsets

The market is supplied with multiple tools and technologies for performing the same tasks and procedures. If every individual or team uses a different set of tools, this can createoften create silos and lead to inconsistencies. Hence, standardizing toolsets across teams helps to unify the processes, improve communication and compatibility, and reduce the risk of errors. Moreover, it can help in saving costs and ensuring standardized security tests for all codes.

Conclusion

In the modern world, DevOps is crucial to a business’s success. However, implementing DevOps in larger organizations or enterprises can be difficult due to its huge size and diversity. Enterprise DevOps is a set of DevOps principles and practices specifically designed for these large enterprises. It involves automating all manual tasks to optimize workflows for speed and efficiency. However, it is not just about adopting the latest tools and technologies. It is about creating a culture of transparency, collaboration, and teamwork to work towards a shared goal of business success.

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An Overall Guide On Microservices Architecture

Shiwani Sharma — Tue, 25 Jun 2024 06:23:29 +0000

Detail Information About Microservices Architecture

An Overall Guide On Microservices Architecture

What is Microservices Architecture?

Microservices Architecture, also known as microservices, is utilized in software development to provide a structure for complex applications. In other words, it involves developing a software system that focuses on creating modules. Each module performs a specific task or business goal and uses an interface to communicate with other sets of services, such as Application Programming Interfaces (APIs).

Microservices are highly beneficial for Agile and DevOps teams. It is also a technique of cloud-native software development that allows each function within an application to operate independently. Microservices also enable breaking down a large application into smaller parts, with each part having its responsibility.

Netflix and Amazon serve as examples of microservices architecture.

Characteristics of Microservices Architecture

Some characteristics of a microservices architecture are as follows:

It can handle problems that arise in the operation team.

It has a dedicated database layer for each service.

It introduces Application Programming Interfaces (APIs).

It can utilize various technologies, frameworks, and languages.

Another important characteristic is that its services cannot wait for other services to go online.

Benefits Of Microservices Architecture

Microservices Architecture offers many benefits and some of the benefits are as follow:

It can go over separately and permit more efficient use of resources. That means certain components can be scaled up or down that is depends on demand without impact on the overall system.

Several services can be written in several programming languages or utilized several technologies that permit the teams to select the best tool for particular job.

It also support CI/CD that permit for rapid release cycles and extra frequent update.

It can be regulated for performance , leading to faster response time for some important and difficult services.

It is well-suited to cloud environments, leveraging characteristics like managed services, auto-scaling, managed services and sever less computing.

Define DevOps Architecture?

IT and software companies allocated two teams separately and given the names of operational and development teams and this is done when the software company is first inaugurated. DevOps Architecture is the process to solve the queries between development and operation and fill the gap between them and this only happens when together these two development and operation are incorporated with collaborating. Some applications which are hosted on the cloud platform and an application which is highly allocated is utilized by DevOps architecture. It expends the time to test, design and deploy if both the terms (development and operations) were working individually for each other. Here is one term that is DevOps Architect. It is also important to know about this term in the definition of DevOps Architecture, so let’s understand the term DevOps Architect.

A DevOps Architect is a person who knows software architects, software developers, etc. and they have deep knowledge about all the concepts and stages of DevOps. A DevOps Architect provides the standardized explanation which matches perfectly for the management, operational and technical standards. This person must be eligible to handle all the issues which came across with the DevOps. They have a huge experience in dealing practically with the terms like leadership role, operations, configuration etc.

Microservices & DevOps

When we talk about software development and deployment practices, these two concepts are often discussed together, although they are not the same, they have many similarities. As discussed above, let’s now learn about DevOps and understand how similar these two concepts are.

What is DevOps?

DevOps is a process that integrates IT operations, practices, tools, and software development to deliver outstanding software characteristics through continuous delivery. It involves the adoption of programmable infrastructure and emphasizes software development, industrialization, collaboration, and communication within a company. DevOps includes procedures such as CI/CD (Continuous Integration/Continuous Delivery) tools and task automation, as well as the utilization of microservices, containers, and executing methodologies. Although it is clear that DevOps encompasses methodologies, it is not a technology itself.

The term “DevOps” combines the words “development” and “operations,” and it can be defined as the fusion of software development and operations practices. In other words, it refers to the combination of software development and operations to form DevOps. DevOps significantly enhances the speed and quality of application delivery, making it increasingly important for organizations. It offers faster speed, code security, and quick delivery as some of its key features.

Lastly, microservices provide an architectural approach to creating flexible systems, while DevOps aids in automation, continuous delivery, and collaboration. Together, they contribute to the growth of robust systems and provide the best software solutions.

Conclusion

Microservices architecture has revolutionized the way we build and maintain software applications, providing numerous benefits that address the limitations of traditional monolithic architectures. By enabling independent scalability, fostering technological flexibility, and enhancing fault isolation, microservices allow organizations to build more resilient, agile, and scalable systems. The architecture’s alignment with business functions and support for parallel development also accelerate development cycles and improve organizational efficiency.

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Complete Guide On Building A DevOps & Culture

Shiwani Sharma — Fri, 21 Jun 2024 03:57:44 +0000

DevOps Culture In 2024

DevOps & Culture; As already discussed many times in our previous blog that what is DevOps https://devopscurry.com/top-trending-best-6-devops-trends-in-2024/

Now, Here we will discuss DevOps Culture but first we will discuss DevOps here as well.

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.

What is DevOps Culture?

Image Credit: https://itsvit.com/blog/devops-culture-huge-step-mankind/

DevOps is a combination of Dev (Development) & Ops (Operations), and DevOps culture encourages communication, integration, and collaboration in the software development process between these two terms (Dev & Ops) together called the DevOps team. The main aim of DevOps culture is to enhance the efficiency, dependability, and quickness of delivering software products and services. In other words, it’s a set of practices that bring people together to solve difficulties. It becomes easy in DevOps culture where you can put the code for production.

In other words, we can say it’s a collective, agile, iterative technique for software development and IT operations, which purpose is to break down the conventional obstacles between these two teams (development and operations). Enhancing the culture of DevOps means they are growing several teams that adopt the duty of the product lifecycle.

Benefit Of DevOps Culture

There are some important elements & practices of DevOps culture as follows:

Collaboration: It facilitates reciprocal understanding to break down silos between the operation and development teams and motivates collaboration among all stakeholders that consist of the lifecycle of software development.
Automation: Automation tools help decrease human errors as they streamline continuous tasks such as monitoring, testing, and deployment.
Feedback loops: Feedback loops are important as they gather and work upon the feedback received from monitoring systems, stakeholders, and end-users, helping in solving issues in the development process.
IaC (Infrastructure as Code): This principle helps regulate infrastructure conditions through code. It also provides version control, consistency, and continuity for infrastructure configuration.
Latest Tools & Technology: It’s best to invest in the latest tools and technology that help in automation, integration, and collaboration throughout the entire lifecycle of development and operation.

How to build DevOps culture and mindset within the organization?

Building a DevOps culture and mindset within the organization is a long-term process that consists of many elements of the organization, such as people, technology, and processes. There are some steps involved in building a DevOps culture and mindset within the organization as follows:

Educating Process: The organization needs to educate the stakeholders, team members, and executives about the benefits and importance of DevOps and how the organization can benefit from it. Embracing the DevOps culture helps improve product delivery, collaboration, and efficiency.

Team Collaboration: It is important and necessary to motivate cross-functional teams that consist of people from other departments such as operations, development, security, etc. These teams have to work together for the best results.

Automation: As we already know the benefits of automation, it helps decrease human mistakes. So, automating everything possible is beneficial to build DevOps culture and mindset in the organization.

Stimulate CI/CD (Continuous Integration/Continuous Delivery): Executing CI/CD pipelines helps in regular and dependable code deployments, ensuring that changes in code are tested automatically and delivered quickly to production.

Execute Agile Practices: Agile practices help focus on providing importance to customers and promote continuous feedback and iterative development.

Conclusion

The journey towards a DevOps-oriented culture is ongoing and requires dedication and commitment from all levels of the organization. However, the rewards – in terms of faster delivery times, improved product quality, and a more agile and resilient business – are well worth the effort. By fostering a DevOps culture, companies can position themselves to thrive in an increasingly competitive and dynamic digital landscape.

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The Basic Guide On Difference Between DevOps & Agile

Shiwani Sharma — Thu, 20 Jun 2024 03:01:37 +0000

DevOps Vs Agile

If you want to learn more about this topic (DevOps VS Agile), we have a separate blog for the same reference link https://devopscurry.com/devops-vs-agile-understanding-the-difference/

What is DevOps ?

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

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

What is Agile ?

In the development process of Agile, the product cuts into several minor portions and blends them for the definitive testing. It comes with the management quality and inspired the adoption that stimulates self-organization, great teamwork and last not least accountability. The exhibition of methodologies and the collection of extreme Programming, the scrum that utilizes by the developer is Agile.

Some of the main targets of Agile development is the discussion of the tools and the process and taking the point from individuals and with the entire team. The other point is it concentrates on the constant changes and it targets software development.

What is AgileOps?

AgileOps is a short abbreviation of Agile operations. A software development methodology that builds all the DevOps techniques & helps the organization with their operations quickly and flexibly.

In other terms, Agile plays a central role that helps the developer and operations and also helps to work with the whole organization, data analysts, and business leaders. Agile is a method of software development that collect all the provisions and after that build, test, and release the overall solution. A methodology that helps the organization for becoming more responsible & doing the changes by wiping out some of the work of software development in tiny parts and have to finishes this work more efficiently and quickly is called AgileOps.

Definition Of AgileOps As Per Wikipedia: Agile software development is the mindset for developing software that derives from values agreed upon by The Agile Alliance, a group of 17 software practitioners in 2001. As documented in their Manifesto for Agile Software Development the practitioners value.

Benefits /Advantages of Agile

Some of the advantage are discussed below:

Client Satisfaction: As the client is involved in the development process, the client can share their priorities with the development team and get all the information. This interaction helps to decrease the complication between the development and client about their provided and wanted services.

Increasing the graph of production: Agile utilizes the resources very well and improves the production from them. The users air the developers were targeted on their factoring and moving forward. This will help in increasing the graph of production.

The amount of Risk Decreased: The developer put the better version on the work by that way the number of risks decreases. The team can handle the issues quickly and easily solve them.

Having good Communication: The client has the interaction with the developer team, so there is no gap between the customer wants and requirements.

Reasonable Visibility: In the process of completing the application, a client can give their acknowledgement and opinion.

Difference Between the DevOps and Agile

S.No.	DevOps	Agile
01	DevOps targeted on delivery and regular testing.	Agile targets constant changes.
02	The team have different level of skill-set	The team has the same level of skill-set.
03	Having several department with different level of skill-set	Whole the team works together with the same level of skill set having less number of teams.
04	Some of the tools they are working with are Slack,Trello, Kanboard, Active Collab etc.	Some of the tools they are working with are Docker, Jenkins, GitLab, OpenStack etc.
05	Due to the automation testing the quality of production is good with low risk.	Later each ride, when the product quality increases, the risk decreases.
06	Motivates the team and gives the feedback for the improvement and the fastest delivery.	Products are made according to the client’s satisfaction.
07	It is utilized on the side of the engineering process.	For the project, any department can help them.

DevOps vs Agile – Similarities

Agile and DevOps both have some similar factors which as discussed below:

Both giving the benefit on the productivity of an Organizations: Agile and DevOps both emphasis company productivity. Agile pushes DevOps for the fastest work and DevOps Pushes Agile to be intensive.

Accepting the narrow Philosophies: In a comprehensive amount, both DevOps and Agile executed the narrow Philosophies.

Collaboration Procedure: Both Agile and DevOps are delivered end to end and bring in collaboration with each other to make the process of tools and data easy and effective.

Conclusion

While DevOps and Agile share common goals of enhancing collaboration, increasing efficiency, and delivering higher quality software, they approach these goals from different angles. Agile focuses on iterative development, customer feedback, and flexible responses to change within the development process. In contrast, DevOps emphasizes the end-to-end automation and integration of development and operations, aiming to streamline the entire software delivery lifecycle.

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Best Top 10 Managed Kubernetes Platform

Shiwani Sharma — Mon, 17 Jun 2024 07:03:09 +0000

Top 10 Kubernetes Management Platform

Introduction Towards Kubernetes

Managed Kubernetes ..The word Kubernetes means pilot or helmsman and it is originates from Ancient Greek. To handle, generate and configure the several applications on Managed Kubernetes the Operators are created for particular applications.

Understand Kubernetes as per Wikipedia: Kubernetes commonly abbreviated K8s is an open-source container orchestration system for automating software deployment, scaling, and management. Originally designed by Google, the project is now maintained by a worldwide community of contributors, and the trademark is held by the Cloud Native Computing Foundation.

Kubernetes, often abbreviated as K8s, is an open-source container orchestration platform. It is designed to automate the deployment, scaling, and management of containerized applications. But what does that mean, and why is it such a big deal?

Imagine you’re running a bustling restaurant kitchen. Each dish is like a microservice in your software application. Every dish has its own ingredients and preparation steps. In simple words, Kubernetes is your seasoned sous-chef. It ensures every dish comes out perfectly, no matter how many orders flood in.

Now you will learn best top 10 Kubernetes Management Platform and these are as follow:

1. Amazon Elastic Kubernetes Services (EKS)

In the AWS cloud, Amazon Elastic Kubernetes Service (EKS) helps to operate and start the Kubernetes application through many organization beliefs on EKS, those organization beliefs on EKS, those organizations name is GoDaddy, Intel, Snap, Autodesk and Intuit. There is no need to install and regulate worker nodes and a Kubernetes control plane, without installing it, you can easily operate it for the organization. Elastic Kubernetes Service organized CaaS (Containers-as-a-service) that facilitates Kubernetes deployment on AWS.

2. Azure Kubernetes Services (AKS)

Many organizations used it to regulate, deploy and scale containerized applications. It offers server less Kubernetes, CI/CD (Continuous Integration and Continuous Delivery). For the requirement of a cluster, Azure Kubernetes Service proposes many ways – Terraform, web console, command line and Azure resources manager. It simplifies deploying, managing and operating Kubernetes, a famous open-source container orchestration platform. It handle the Kubernetes master nodes that consists of API server, and some other important components. The user who are using this tools can select virtual machines sizes and node counts.

3. IBM Cloud Kubernetes Service (IKS)

This Kubernetes service is formulated for building a Kubernetes cluster of computer hosts to regulate and deploy containerized apps on IBM Cloud. This IBM service has come into the market in May 2017 and in 2018 its name has been replaced and another name is given as IBM Cloud Kubernetes Services. CNCF K8s Conformance Testing is the creator of IBM. The main purpose to change the name is to promote all the technique investment in Kubernetes. It handle Kubernetes services that is provided by IBM Cloud. It helps you to deploy, handle and scale containerized application by utilizing Kubernetes. It operate the Kuberenetes master nodes, providing automatic updates and patching. It also handle the worker nodes with flexibility to choose configurations.

4. Google Kubernetes Engine (GKE)

It is formulated by the Engineers of Google and can be utilized on Google Cloud. This service operates on a Container Optimized OS that is created and organized by Google. This is one of the important Kubernetes platforms which is deployed on-premises and the hybrid environment . It has some great characteristics such as logging and monitoring, load balancing, auto upgrades and auto-scaling etc. It is managed Kubernetes service provided by Google Cloud Platform that clarify the process of deploying, scaling, managing containerized application by utilizing Kubernetes. It also handle the upgrading, provisioning and scaling of Kubernetes cluster automatically.

5. Rancher

Consisting of monitoring, pool management, provisioning, Rancher furnishes whole Kubernetes cluster operations and it is also a project of Longhorn which gives for Kubernetes a cloud-native distributed storage. This is very simple and you can use it easily. It can be operated within Docker containers. With having no vendor lock-in it is purely providing open-source software. Rancher has several tools and it delivers some factors that can be used and it is the same as OpenShift. This platform is a complete open-source solution that is created to handle Kubernetes clusters in any environment. It clarify the scaling, deployments and management of Kubernetes, providing users with a strong set of tools to control cluster and workloads.

6. Canonical Kubernetes

It assists and permits automated upgrades and contributes one of the alternatives that is commercial support for the Kubernetes. It is formulated on Ubuntu and it is a platform that considers Google, Amazon as much more. It has a CNI option and Canonical Kubernetes has the integration for both the cloud that is public and private. Some of the big organizations and institutions like Microsoft, Google operate Kubernetes.

7. Rackspace KAAS

It is one of the best Kubernetes services that is formulated in June 2018 having my features that contribute solutions through several clouds such as multi-cloud portability. The networking and load balancing is native with presence of bare metal nodes. In Rackspace KAAS there is no auto scaling nodes is present here.

8. OpenShift Kubernetes

OpenShift Kubernetes proposes management, deployment and large scale application development. One of the important procedures of Openshift is Container Orchestration Engine and Platform-as-a-service. It provides three services that are platform services, application services and developer services. Here the user or the developer can deploy the application in IDE (Integrated Development Environment), and the employer regulates this Kubernetes.

9. Alibaba Cloud Kubernetes

It incorporates security, storage, networking and virtualization. It permits you to deploy the application in elevated performance and contributes management whole lifecycle of an organization containerized application. It extends to service and support. One of the Important Alibaba Cloud Kubernetes features is logging, storage, monitoring, networking, cluster management etc.

10. Digital Ocean Kubernetes (DOKS)

It has some features that support the application to work fast without facing any issues in expenditure and management. It handle Kubernetes services provided by DigitalOcean. It clarify the process of managing, deploying and scaling Kubernets clusters. It handle the Kubernetes control plane and worker node updates, ensuring your cluster runs the latest security patches and features.

Conclusion

DigitalOcean Kubernetes (DOKS) offers a robust, scalable, and cost-effective solution for running containerized applications. Its managed nature simplifies Kubernetes operations, allowing developers to focus more on building and deploying applications rather than managing infrastructure. With features like automatic updates, node auto-scaling, integrated load balancers, and strong security measures, DOKS ensures that your applications remain reliable, performant, and secure.

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Container Security Scanning

Shiwani Sharma — Tue, 11 Jun 2024 07:25:56 +0000

An Brief Introduction On Container Security Scanning & Their Tools

What is Docker Security Scanning?

[Container Security Scanning]….All services that you require inside a container Docker permits you to install all this, you are free from all the worries about installing on a similar package with several versions on your system. You can use Docker to operate services and applications and it has its sandboxes which are known as containers. With the help of a Docker, you can easily dispense the whole environment of an application from one to another. The process to find out the presumed security in the package listed in your Docker image. Docker image security plays a very important role in terms of Docker security. If we have to generate a Docker image then firstly we have to generate a Dockerfile and by utilizing the Docker build command you can turn it into an image after finishing Dockfile.[Container Security Scanning]

Container/ Docker Security Scanning Tools

These tools are important to find out for identifying vulnerabilities in container images. These tools examine container images for known vulnerabilities, compliance issues and misconfigurations. Now we will explain some of the tools are as follow:

Docker Bench

It is utilized in the production to search numerous best practices and the automated tests for checking the best practices around Docker containers and it works like a script. Docker Bench focuses on developers because it regulates containers with the community edition of Docker. You have to require Docker 1.13.0 to operate Docker Bench. It’s an open-source script that checks for best practices in Docker deployments. This tool is created to automate security check , support to making sure that Docker host and container attach to the best security practices as outlined by Docker’s security guidelines.

Clair

It is an open-source project which is utilized in Quay.io that has an alternative to Docker Hub and it is also a public container registry that is created by CoreOS. It proposes security for applications and dockers and by using Clair you can create services that continuously regulate your container for any susceptibility of the container. Every data is recorded in NVD, which means National Vulnerability Database, so in a case where any error recognizes them, it will procure the circumstances and furnish every detail in the report.

Anchore

For scanning, the CI/CD pipeline Anchore is obtainable in Jenkins Plugins and it can operate on orchestration and standalone platforms like Rancher, Kubernetes, Docker Swarm and Amazon ECS. One of the important features of Anchore is to permit the users to execute the intense container image exploration to check the package of the operating system, RubyGEMs and Node.JS modules as well every single file is coated in the analysis.

OpenSCAP

This is one of the best tools that is used by security auditors and IT admins that consists of open source tools, configuration baselines and open security benchmark guides. It also uses SCAP which means Security Content Automation Protocol which is NIST -certified that furnishes the security policies and that is readable to machines. In comparison with others, OpenSCAP is more broad-based than others.

Dagda

It’s an open-source tool that is used for static analysis of container security and also for scanning viruses, vulnerabilities, malware and viruses in Docker containers. If you want to use Dagda then firstly you have to scan the Docker container. It stored the vulnerability data as well. It is very flexible that handles both REST API as well CLI and that is one of the important benefits of Dagda and for the detection of vulnerability, it operates an antivirus engine named ClamAV.

Black Duck OpsSight

It is also an open-source vulnerability that observes and accentuates any of the images which consist of open source vulnerabilities. In case of any differences, Black Duck OpsSight noticed and attended within the orchestration platforms. One of the important features of OpsSight is its standard container images that have a security policy that is open source.

Sysdig Falco

Sysdig Falco tool is formulated by Sysdig to recognize some bizarre action in your application which is an open-source tool as well and that is created for Kubernetes, cloud environment and containers. It also regulates and recognizes host, network activity, container and application. It constantly monitors and discovered unpredicted behavior, vulnerabilities, intrusions in actual time. It combine with several Kubernetes environments, SIEM tools and CI/Cd pipelines.

Dockle

It’s an open-source tool that is very useful for ascertaining that the best practices for writing Dockerfiles chase Docker drawbacks. You can also use Dockle to lint container images in opposition to user exemption escalation, CIS benchmarks, potentially vulnerable commands and assisting to ignore sensitive mysteries. With the help of other platforms like Mac OS X, Linux and Homebrew you can easily install Dockle.

Trivia

It is formulated to be used within the process of CI and CD and to deploy an application or previously delivered to a container to scan for vulnerabilities. In the other word you can say for any container, it’s a vulnerability scanner. This is a complete security scanning tool that is created by Aqua Security and it is utilized for identifying vulnerabilities in file system, container images, & Git repositories. It scan the container images for vulnerabilities in some of the OS package as like RHEL, Debian etc.

Hadolint

This tool is written in Haskell that is operated by a small firm or a team and it also supports the team’s for their structure or in other ways team structure and deploys Docker containers best practices and it works as a linter also.

Conclusion

The adoption of container security scanning tools is not just a best practice but a necessity in today’s fast-paced, security-conscious development landscape. Whether you’re a developer, DevOps engineer, or security professional, leveraging these tools can significantly enhance your security posture and safeguard your applications against evolving threats. Embrace container security scanning as a fundamental part of your DevSecOps strategy to build and maintain resilient, secure applications.

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An Complete Guide On Code Linting

Shiwani Sharma — Fri, 31 May 2024 04:36:10 +0000

Code Linting

What is Lint Code ?

A lint code or a static code analyzer is only a tool that helps you to discover the code for errors ( programming or stylistic ) and suspicious constructs. In simple language, it is a tool that analyses the code and finds the error or the issue with the coding mode. A lint code is a tool that analyzes the static code. Linting is a process that searches automatically of your source code for errors( programming or stylistic) And the process of Linting is performed by utilizing a lint tool and this is also called a Linter.

This is a processor of automatically checking the code and by this automatic process, the test process of the code and review get more productive. This will helps the users to concentrate not on errors but on right things. It helps the users to write good code and these tools are written in the C language. In 1978, Stephen C.Johnson wrote the first ever longer while working in Bell Labs.

Why Linting is Important?

The above image explain you the importance of Linting. It is important because it reduces error and on a development process of a code it will enhance the quality of the code and will cost you less on finding the errors. It will also help to grab the bugs.

Benefits of Linting

Some of the important useful benefits of listing are discussed below :

• Improved the code quality: It will help to improve and to measure the quality of code.

• Increases the maintenance and Readability of a code: It also assists the style, maintenance and readability of a code.

• Users gathered more because of getting educated about the quality of code.

• Reduces error: One of the main functions of linting is to analyze and deduct the error in the production.

• Having secure code: Some linters gives attention to the safety and performance to analyze the source code.

Why should you use linters?

The first thing that comes to mind is why only linters?

Why do we use it?

Because by using it you will find fewer errors and that saves time while writing a code. One of the other things is that linters respond instantly.
It has automation that means while writing a code you will get an instant response by using a plugin in your text editor.
Linters maintain the coding style better. Printing the code will give you the best results. There is a word called prettier which helps in printing and that helps in other languages like CSS, LESS, SCSS, TypeScript.
It is easy to use with a free of cost .
Users love it because it save the time of users.

So at last, it is a decent tool that you use.

Some popular Linting Tools

Python

Python can be used effectively to create any kind of program that does not need direct access to the computer hardware. It is a general-purpose programming language based on the ABC language. It is high-level programming with an open-source that was formulated in 1991 by Guido van Rossum. This language is presented by (PSF) Python Software Foundation.

Google App Engine, Maya, YouTube, Google search, iRobot machines etc. are the application and companies that assigned Python at the time of Python development. In the comparison of other languages like C, C++ this program gets slower although its development time is quick.

Some of the python analysis tools are Mega-Linter, mypy, flake8, pylint , that we are going to discuss below:

Mega-Linter

It’s an open source tool consists of different characteristics like spelling mistakes, copy paste formats, some distinct language with a list of different tooling formats, user can easily pertain formatting and auto-fixes to clear the project. It is free of cost, anyone can use it for any purpose like personal use, professional use etc. it can deduct and read the error log easily .

mypy

It benefited from the Python version of 3.5 + and mypy was initially published on 28 October 2012 and decadent it published on 10 March 2020. For Python, mypy is a static type checker. If you want to operate mypy then you require Python 3.5.

Flake8

This is the best Python code which benefited from Python 2+ and 3+. By launching the single flakes8 command here you can operate all the tools and it also operates a particular category of errors, indication and much more. It also creates the configuration file and then the storage of it .

Pylint

It supports the Python version of 3.5+ and gives a comprehensive report or data of the code. It is free of cost and initial released on 10 March 2019.

JavaScript

JavaScript is designed by Brendan Eich and Netscape and was first released on 4 December 1995 which is stable and released by ECMAScript in 2020. A programming language that is used for many things like web development, application, web applications, web browsers etc. With the comparison of another language as common as HTML and CSS, JavaScript has more characteristics on web pages. For connecting with a user JavaScript provides some elements that interactive web pages. On Amazon, we use JavaScript that contains a search box. It’s a scripting language that helps functional programming styles and a useful programming language for a web page. You can easily play audio music and a video and have an appearance of animation as well. In this language, a programmer can find all calculations related to math’s and permits you to add HTML data to the DOM.

Some of the JavaScript analysis tools are as follow :

JSLint

This tool was released recently on 30 June, 2021 and developed by Douglas Crockford,Palantir Technologies. This tool is used in a software which is basically for searching the JavaScript code that complies with coding rules.

ESLint

It’s an open-source JavaScript tool that was developed in June 2013 by Nicholas C.Zakas which is used to find the error, problems or a code. It contributes to an easy installation and a fast environment which is written by using Node.js. It does not provide any specific coding style.

JSCS

Here you can generate your code and can parcel this code as an npmpackage .

Stylelint

It is used by the growing community like WordPress, Facebook,Github. It grabs the errors and has embedded style from HTML, CSS-in-JS objects. This tool is examined with so many unit tests as around 15000.

Java

Some of the Java analysis tools are discussed below :

SonarQube

This tool manage the quality of code and it’s a open source platform . It analysis security, code smells and recognize bugs. It can easily recognize and can report the things like code coverage, coding standards, duplicate code etc.

CodeScene

This tool is used for software which visualized the integrity . This tool is fully automated.

ShiftLeft

The dashboard of ShiftLeft consists of URL that we can used it and it will organized the CPG locally ( Code Property Graph) for analysis it will later it will upload on ShiftLeft cloud.

Checkstyle

It is one of the most popular Linting tools, it will works on Ant and CLI. It will also support Google Java style, Sun Code convention.

PMD

An open source analyzer code which is for java, Salesforce Apex, PLSQL, XML, XSL and many more. It’s operating system is Window, macOS, Linux. The programming language of PMD is Java. To find the duplicate code it has an (CPD) Copy – Paste- Detector.

Uncrustify

For the project C-based or C-analogue- based workflow Uncrustify is very important. Here the code was automatically updated with all the important things like bracket, its format, the ruleset.

Conclusion

Incorporating code linting into your development workflow is a game-changer for maintaining code quality and consistency. By catching errors early, enforcing coding standards, and streamlining the review process, linters enhance both individual productivity and team collaboration. Whether you’re working on a solo project or part of a large team, the benefits of code linting are undeniable.

As we continue to navigate an ever-evolving tech landscape, adopting robust linting practices ensures our code remains clean, efficient, and adaptable. Embrace the power of code linting and take a proactive step towards better code health and a more efficient development process.

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