Visualize this: In the coming two years, more than 500 million new applications will be built — a number equal to total applications developed in the last four decades. 

This explosion in applications will be the result of businesses’ efforts to turn into “digital innovation factories”. Intrinsically, businesses will create digital products and services with speed and scale that will be at the heart of their digital value proposition. And a number of these applications will be built and deployed in containers. 

Container-powered infrastructure is pulling enormous interest world-wide because containers enable agile and automated deployment of modern applications at scale and economy. A single server can host several containers as compared to virtual machines (VMs) for higher utilization. Considering the speed, efficiency, and practicality of containers in managing cloud-native applications, businesses are adopting containers at never before rates.

Here are five things that you must know about containers:

1. Containers Enhance Continuous Integration (CI) and Continuous Delivery (CD) Processes:

The advancement in continuous integration and continuous delivery processes has enabled developers to implement and deliver applications rapidly and frequently. Containers drive CI/CD advantages further via portability. When each container can be seamlessly and dependably moved to different platforms, like between a developer’s device and a private/public cloud, CI/CD processes become seamless. 
 
Containers can also be replicated or scaled without suspending other processes, and each container’s individuality enables applications to be developed, tested, deployed, and modified simultaneously, thereby eliminating interruptions and delays. By utilizing containers combined with CI/CD, the entire software delivery life cycle (SDLC) speeds up, with lesser manual tasks, and challenges of migrating between different environments. 

2. Containers Refashion Legacy Applications:

Most businesses don’t have the luxury to build “all-new” applications for cloud-based platforms. Rather they prefer migrating existing or legacy applications to the cloud. Many applications can utilize the ‘lift and shift’ approach to the cloud, signifying that most will need to be radically refactored to benefit from the cloud features as code alterations are made. The applications are revamped, recoded, and repurposed for cloud platforms giving the application – a new purpose. 
This is not easy, and there are innovative technologies that need to be considered. Applications are enabled to externalize APIs, and microservices allow applications to leverage the best functionality on cloud platforms. Containerization of the applications guarantees a seamless distributed architecture and cloud-to-cloud portability. 
Containerizing legacy applications comes with several benefits, such as reducing complexity by utilizing container abstractions. The containers eliminate the dependencies on the underlying infrastructure services, which further lessens the complications of dealing with those platforms. This implies that developers can abstract the access to resources, like storage, from the application itself. This makes the application portable, but at the same time also speeds the refactoring of the applications.

3. Containers Create Dependable and Resilient Environments:

With the help of Kubernetes, containers can either operate on the same server and utilize similar resources or can even be distributed. Individual containers allow the parallel development of applications and ensure that a break down in one application does not disturb or cause a failure in other containers. This isolation also enables teams to quickly detect and fix technical problems without triggering any downtime in other areas.
 
Containers offer the best of both worlds, enabling resource sharing while reducing downtime and permitting teams to prolong developing innovative functions. The result is highly-efficient environments that enable teams to march forward with software development and delivery, although other teams are caught up testing or fixing errors.

4. Containers – A Better Option for Virtualization:

In the conventional approach of virtualization, a hypervisor virtualizes physical hardware. Every virtual machine holds a guest OS, a computer-generated copy of the hardware that the OS needs to stream, and an application and its related libraries and dependencies.
Rather than virtualizing the fundamental hardware, containers virtualize the operating system (usually Linux), so every independent container encompasses only the application along with its libraries and dependencies. Containers are slim, speedy, and portable because, as opposed to virtual machines, containers don’t require a guest OS in every instance and can utilize the features and resources of the host OS.
Just like virtual machines, containers enable developers to enhance CPU and memory utilization. However, containers go a step further because they also power microservice architectures, where application components can be employed and scaled more minutely. This is a lucrative option to scale up a monolithic application because a single component takes the load.

5. Containers Offer Superior Performance:

The slashed resource load is a key reason for businesses to leverage containerized platforms over virtual machines. Containers provide more than ten times the density suggesting that developers can operate up to ten times more containers in a single host.  

Additionally, hypervisors are susceptible to latency issues. As compared to virtual machines, containers considerably reduce latency. Furthermore, containers load much faster than virtual machines. Containers thus offer a substantial boost in performance by decreasing the resource load and latency. And the quicker load time caters to a seamless user experience.

Containers will continue to grab market share from conventional virtualization technologies. This technology is already fast-tracking digital transformation and application modernization efforts for several businesses and across diverse applications. We may not physically see containers being utilized, but the truth be told, we utilize them every day. Be it Google or Netflix, we are using containers every day in the back end. 

The adoption of containers is real and is revolutionizing how businesses are deploying IT infrastructure. From rapidly delivering applications to amplifying development to deployment processes, to slashing infrastructure and software costs, containers offer brilliant business outcomes to application developers. 

First, there were developers. And then software development got more challenging, more complex, less straightforward. That resulted in the emergence of a new “combo” discipline – DevOps. DevOps was seen as a medium for fuelling software teams into supercharged IT powerhouses.

DevOps was introduced to improve collaboration. It is a working culture that smashes the conventional siloes between software development, quality assurance, and operations teams, empowering all application life-cycle stakeholders to work collectively – from conception to design, development, production, and support.

But all is not what it seems in the world of DevOps. DevOps puts pressure on teams to deliver faster releases while scaling with demand. On this path, the cloud is one of the significant resources needed to make a DevOps environment run smoothly. And this is where the challenge lies.

Where Does The Cloud Come Into Picture?

DevOps fast-tracks the growth in cloud infrastructure needs far beyond what conventional application development methods may have required. As the organization shifts from monthly to daily releases, the infra needs keep scaling, often in an unplanned manner.

If DevOps is the most significant transformation in the IT process in decades, renting infrastructure on demand was the most disruptive transformation in IT operations. With the change from traditional data centers to the public cloud, infrastructure is now leveraged like a utility. Like any other utility, there is a waste here too. (Think: leaving the fans on or your lights on when you are not home.)

The extra cloud costs encompass several interrelated problems: ongoing services when they do not need to be, wrongly sized infrastructure, orphaned resources, and shadow IT. People leveraging AWS, Azure, and Google Cloud Platform are either already feeling the pressure — or soon will. Since DevOps teams are primarily cloud users in many organizations, DevOps cloud cost control processes must become a priority in every organization.

Why Is It So Challenging For Organizations To Get Their Cloud Costs Under Control?

In an excellent analysis on CIO.com, the following three challenges were highlighted :

1. Playing too safe with Cloud Provisioning:

   During most of the primary generations of public cloud initiatives, the goal of the DevOps team was the development speed and quality of the solution. In the standard three-way trade-off of products, organizations can accomplish two of three goals – speed, quality, and low-cost – but not all three. Often, low cost has been the odd-man-out. With a “better-safe-than-sorry” attitude, several DevOps teams habitually purchased more cloud capacity and functionality than their solutions needed. More capacity means more cost.

2.  Complex public cloud offerings:

   As public cloud platforms like AWS and Microsoft Azure are maturing, their portfolios of service options have radically grown. For example, AWS catalogs roughly 150 products grouped under 20 categories (compute, database, developer tools, AI, analytics, storage, and so forth). This sort of portfolio makes for roughly a million distinct potential service configurations. Incorporate frequent price changes for services and picking the best and most cost-effective public cloud options make assessing cell-phone plans look like child’s play. More complexity often means poor choices that drive higher costs.

3. Lack of transparency and effective analysis:

   Organizations don’t have good visibility into how much infrastructure their cloud apps require to provide the necessary functionality and service levels. Without tools that provide such analysis, organizations can’t pick the best options, right-size existing public cloud deployments, or eliminate “deadwood” cloud apps that never got eliminated as DevOps teams moved on to create new cloud solutions. It’s time for organizations to get serious about optimizing and controlling their use of cloud resources and – in so doing – cutting unnecessary public cloud costs. To do this, they must utilize analytics tools and services that can offer actionable data about their cloud deployments and aid them to traverse through the jungle of public cloud service and pricing options.

The Cultural Behavior of Controlled Costs

While Continuous Cost Control is an idea that organizations must apply to development and operations practices right through all project phases, organizations can do a few things to begin a cultural behavior of controlled costs. Build a mindset and apply the principles of DevOps to control cloud costs.

• Holistic Thinking: In DevOps, organizations need to think about the environment as a whole. Organizations have budgets. Technology teams have budgets. Whether you care or not, that also implies that DevOps has a budget, it needs to stay within. At some point, the infrastructure cost must come under scrutiny.
• No silos: No silos imply not only no communication silos but also no silos of access. This applies to cloud cost control when it comes to challenges such as absconding compute instances running when they’re not required. If only one person in the organization possesses the ability to turn instances on and off, then that’s an undesirable single point of failure.
  The solution is removing the control silo by enabling users to access their instances to turn them on as and when they require them, utilizing governance via user roles and policies to make sure that cost control strategies remain uninhibited.
• Quick and Valuable Feedback: In eradicating cloud waste, the feedback required is – where is waste occurring? Are your instances appropriately sized? Are they functioning when they don’t need to be? Are there orphaned resources eating the budget?
  Valuable feedback can also come in total cost savings, percentages of time instances were shut down over the previous month, and overall coverage of your cost optimization efforts.  Reporting on what is working helps organizations choose how to address the challenges. Organizations need monitoring tools to discover the answers to these questions.

Following this cultural behavior shift, DevOps teams can transition from preserving, archiving, and destroying data to collecting and utilizing it for data-driven insights. This transformation in mindset toward cloud removes constraints and enables to innovate faster and more susainably.

Act Now

Inspect your DevOps processes today and see how you can integrate a DevOps cloud cost control mindset. Consider automating cost control to lessen your cloud expenses and make your CFO’s life happier.

Offshore software development has never been easy. Neither has DevOps. Although both offer a distinct set of advantages to organizations, trying to do them together could be challenging. In addition to creating a culture of collaboration, new tools have to be adopted. Yet, many large global organizations have successfully built DevOps capabilities across time zones, while meeting requirements 24×7 – within time and budget. 

Here’s how Offshore Development has Changed with DevOps:

1. The Improvement in Product Quality: Quality management has always been a basic requirement of software development, and also a popular way to control development costs. But with offshore development, quality management gained a reputation for being rigid and imbalanced. Offshore teams had a tough time balancing quality and costs. The perception grew that they could only focus on one aspect while overlooking the other. However, DevOps brings in a way for offshore development teams to drive quality and costs simultaneously. Since there is more collaboration between teams, bugs are identified quickly – which improves quality, and there is less rework – which reduces the associated costs. 
2. The Stress on Culture: Offshore development teams have often focused on the tools and technologies needed to drive outcomes. However, with the advent of DevOps, there is a ton of business culture aspects to consider. When DevOps comes into the picture, it’s not just about tooling; teams have to work together and collaborate to drive the intended DevOps outcomes. Rather than looking at culture as a nice-to-have feature, offshore development teams have started to look at it as a core competency that lays the foundation of an efficient software development practice. 
3. Accelerated time-to-Market: Since the dawn of offshore development, teams have been following the sun; once early analysis and design are complete, documentation is sent to remote developers to start coding and testing. However, what DevOps does, is turn all of this on its head; by seeking greater collaboration between teams, it helps them release software in bite-sized sprints – so teams can get more frequent visibility and feedback. Such an approach builds faster feedback loops, accelerates the velocity at which a company can test hypotheses about what the client wants – without wasted time and effort – and brings products to market sooner. 
4. The Elimination of Hand-offs: Offshore development has also always been about hand-offs. When one person (or team) is done with a piece of work, a key milestone is achieved, and he/she then notifies the other to start working. However, what DevOps does is just the exact opposite. It enables different teams to work on aspects of software development in tandem, while greatly reducing the number of handoffs or delays. Teams do not have to waste time waiting for a “go-ahead” to start working; instead, they drive continuous collaboration through the entire development life cycle, keep track of tasks across coding, unit testing, build scripts, configuration scripts and avoid passing work back and forth. 
5. The Growth of Analytical Dashboards: For offshore teams having a tough time getting visibility into project status, DevOps drives the use of analytical dashboards. These dashboards often serve the purpose of providing a single source of truth across the complete organization, while giving real-time updates on project status, issues, challenges, and improvement opportunities. Teams that leverage these tools find themselves resolving issues faster while making the entire process of offshore development far more effective.
6. Handling out-of-Scope Requests: Offshore teams have always found it difficult to handle out-of-scope requests and cater to emergency patch-up works which come out of their schedule. This is mainly due to the differences in time zone. However, with DevOps, the project’s scope is clearly defined through several iterations of communication between the internal team and the offshore team. Any out-of-scope request can be accommodated, based on the availability of resources, as can urgent jobs which need immediate attention.  

Improve Software Development Outcomes: 

When the world embraced the offshore development model, the productivity gains and cost savings stimulated technological innovation for years to come. While offshoring helped businesses achieve their market and customer goals – quickly and more efficiently, it also paved the way for the adoption of methodologies and approaches to produce software more efficiently and effectively. 

DevOps is one such transformation, that is helping offshore teams break departmental siloes, and drive a cultural shift towards efficient software delivery. The changes range from dramatically improving software quality to accelerating time-to-market, eliminating wasteful hand-offs, to offering real-time visibility into product status while seamlessly handling out-of-scope requests. The impact of DevOps on offshoring has been phenomenal, and the approach will continue to boost offshore development outcomes for years to come.

As the requirement for high-quality software in short time frames and restricted budgets increases, developers are looking for approaches that make building software a lot faster and more efficient. DevOps greatly helps in improving the software product delivery process; by bridging the gap between the development and operations teams, DevOps facilitates greater communication and collaboration, and improves service delivery, while reducing errors and improving quality. According to the State of Agile report, 58% of organizations embrace DevOps to accelerate delivery speed.

Tools for a successful DevOps Strategy

DevOps creates a stable operating environment and enables rapid software delivery through quick development cycles – all while optimizing resources and costs. However, before you embark on the DevOps journey, it is important to understand that since DevOps integrates people, processes, and tools together, more than tools and technology, it requires a focus on people and organizational change. Begin by driving an enterprise-wide movement – right from the top-level management down to the entry-level staff – and ensure everyone is informed of the value DevOps brings to the organization before integrating them together into cross-functional teams.

Next, selecting the right tools is critical to the success of your DevOps strategy; make sure the tools you select work with the cloud, support network, and IT resources and comply with the necessary security and governance requirements. Here’s your 5-point guide for developing a successful DevOps strategy and the tools you would need to drive sufficient value:

1. Understand your Requirements: Although this would seem a logical first step, many organizations often make the DevOps plunge in haste, without sufficient planning. Start by understanding the solution patterns of the applications you plan to build. Consider all important aspects of software development including security, performance, testing, and monitoring — basically all of the core details. Use tools like Pencil, a robust prototyping platform, to gather requirements and create mockups. With hundreds of built-in shape collections, you can simplify drawing operations and enable easy GUI prototyping.
2. Define your DevOps Process: Implementing a DevOps strategy might be the ideal thing to do, but understanding what processes you want to employ and what end result you are looking to achieve is equally important. Since DevOps processes differ from organization to organization, it is important to understand which traditional approaches to development and operations to let go of as you move to DevOps. Tools like GitHub can enable you to improve development efficiency and enjoy flexible deployment options, centralized permissions, innumerable integrations and more. GitHub allows you to host and review code, manage projects, and build quality software – moving ideas forward and learning all along the way.
3. Fuel Collaboration: Collaboration is a key element of any DevOps strategy. It is only through continuous collaboration that you can develop and review code and stay abreast with all the happenings. With frequent and efficient collaboration, you can efficiently share workloads, enable frequent reviews, be informed of every update, resolve simple conflicts with ease, and improve the quality of your code. Collaboration tools like Jira and Asana enable you to plan and manage tasks with your team across the software development lifecycle. While Jira allows team members to effectively plan and distribute tasks, prioritize and discuss team’s work, and build and release great software together, Asana allows project leaders to assign responsibilities throughout the project; you can prioritize tasks, assign timelines, view individual dashboards and communicate on project goals.
4. Enable Automated Testing: When developing a DevOps strategy, it is important to enable automated testing. Automated test scripts speed up the process of testing, and also improve the quality of your software by testing it thoroughly at each stage. By leveraging real-world data, they reflect production-level loads and identify issues in time. DevOps-friendly tools like Selenium are ideal for enabling automated testing. Since Selenium supports multiple operating systems and browsers, you can write test scripts in various languages including Java, Python, Ruby and more and can also extend test capability using additional test libraries.
5. Continuously Monitor Performance: To get the most out of your DevOps strategy, measuring and monitoring performance is key. Given the fact that there will be hundreds of services and processes running in your DevOps environment, all of which cannot be monitored, the identification of the key metrics you want to track is vital. Tools like Jenkins can be used to continuously monitor your development cycles, deployment accuracy, system vulnerabilities, server health, and application performance. By quickly identifying problems, it enables you to integrate project changes more easily and deliver a functional product more quickly.

Improve Service Delivery

Implementing a DevOps strategy is not just about building high-quality software faster; it’s about driving a cultural shift across the organization to improve development processes and make it more efficient. Making the most of a switch to DevOps requires you to start with a new outlook, along with the use of new tools and new processes. By using the right tools at every stage, you can accelerate the product development process, meet time-to-market deadlines, and begin your journey towards improved service delivery and optimized costs.

The past few years have witnessed the meteoric rise of DevOps in the software development landscape. The conversation is now shifting from “What is DevOps” to “How can I adopt DevOps”. That said, the Puppet’s State of DevOps Report stated that high performing DevOps teams could deploy code 100 times faster, fail three times less and recover 24 times faster than the low performing teams. This suggests that DevOps, like with every other change in the organization, can be beneficial only when done right. In the haste to jump on the DevOps bandwagon, organizations can forget that DevOps is not merely a practice but is a culture change – a culture that breeds success based on collaboration. While DevOps is about collaboration between teams, continuous development, testing and deployment, key mistakes can lead to DevOps failure. Here’s a look at some common DevOps mistakes and how to avoid them.

1. Oversimplification:
   DevOps is a complex methodology. In order to implement DevOps, organizations often go on a DevOps Engineer hiring spree or create a new, often isolated, DevOps department to manage the DevOps framework and strategy. This unnecessarily adds new processes, often lengthy and complicated. Instead of creating a separate DevOps department, organizations must focus on optimizing their processes to create operational products leveraging the right set of resources. For successful DevOps implementation, organizations must manage the DevOps frameworks, leveraging operational experts and other resources that will manage DevOps related tasks such as resource management, budgeting, goals and progress tracking.
   DevOps demands a cultural overhaul and organizations should consider a phased and measured transition to DevOps implementation by training and educating employees on these new processes and have the right frameworks in place to enable careful collaboration.
2. Rigid DevOps processes:
   While compliance with core DevOps tenets is essential for DevOps success, organizations have to proactively make intelligent adjustments in response to enterprise demands. Organizations thus have to ensure that while the main DevOps pillars remain stable during DevOps implementation, they make the internal adjustments that are needed in internal benchmarking of the expected outcomes. Instrumenting codebases in a granular manner and making them more partitioned gives more flexibility and gives DevOps teams the power to backtrack and identify the root cause of diversion in the event of failed outcomes. However, all adjustments have to be made while remaining within the boundaries defined by DevOps.
3. Not using purposeful automation:
   DevOps needs organizations to adopt purposeful automation – automation that is not done in silos like change management or incident management. For DevOps, you must adopt automation across the complete development lifecycle. This includes continuous delivery, continuous integration, and deployment for velocity and quality outcomes. Purposeful end-to-end automation is essential for DevOps success. Hence organizations must look at complete automation of the CI and CD pipeline. At the same time, organizations need to keep their eyes open to identify opportunities for automation across processes and functions. This helps to reduce the need for manual handoffs for difficult integrations that need additional management and also in multiple format deployments.
4. Favoring feature-based development over trunk-based development:
   Both feature-based development and trunk-based development are collaborative workflows. However, feature-based development, a development style that provides individual features their isolated sandboxes, adds to DevOps complexity. As DevOps automates many aspects of the code between development and production environments, keeping different conceptual flavors around the codebase makes DevOps more complex. Trunk-based development, on the other hand, allows developers to work in a coherent and single version of the codebase and alleviates this problem by giving developers the capability to manage features through selective deployments instead of through version control.
5. Poor test environments:
   For DevOps success, organizations have to keep the test and production environments separate from one another. However, test environments must resemble the production infrastructure as close as possible. DevOps means that testing starts early in the development process. This means ensuring that test environments are set up in different hosting and provider accounts than what you use in production. Testing teams also have to simulate the production environment as closely as possible as applications perform differently on local machines and during production.
6. Incorrect architecture evaluation:
   DevOps needs the right architectural support. The idea of DevOps is to reduce the time spent on deploying applications. Even when automated, if deployment takes longer than usual there is no value in the automation. Thus, DevOps teams have to pay close attention to the architecture. Ensure that the architecture is loosely coupled to give developers the freedom and flexibility to deploy parts of the system independently so that the system does not break.
7. Incorrect incident management:
   Even in the event of an imperfect process, DevOps teams must have robust incident management processes in place. Incident management has to be a proactive and ongoing process. This means that having a documented incident management process is imperative to define incident responses. For example, a total downtime event will have a different response workflow in comparison to a minor latency blip. The failure to do so can lead to missed timelines and avoidable project delays.
8. Incorrect metrics to measure project success:
   DevOps brings the promise of faster delivery. However, if that acceleration comes at the cost of quality then the DevOps program is a failure. Organizations looking at deploying DevOps thus must use the right metrics to understand progress and project success. Therefore, it is essential to consider metrics that align velocity with throughput success. Focusing on the right metrics is also important to drive intelligent automation decisions.

To drive, develop, and sustain DevOps success, organizations must focus on not just driving collaboration across teams but also on shifting the teams’ mindset culturally. With a learning mindset, failure is leveraged as an opportunity to learn and further evolve the processes to ensure DevOps success.

The path to building cutting-edge software solutions is often paved with several obstacles. Disjointed functioning of various development teams often results in long release cycles. This not only results in a poor quality product but also adds to the overall cost of development. For organizations looking to set themselves apart from the competition, it has become essential to embrace the world of DevOps and enable frequent delivery of good-quality software.

The Growth of DevOps

Conventional software development and delivery methods are rapidly becoming obsolete. Since the software development process is a long and complex one, the process requires teams to collaborate and innovate with each passing day. Models evolved -first it was Waterfall, then Agile, and now it’s DevOps – in order to meet the dynamic demands of the industry, and growing expectations of the tech-savvy user, the software development landscape is undergoing constant change. Today, DevOps is being seen as the most efficient method for software development. According to the recently released 2017 State of DevOps Report, high performing organizations that effectively utilize DevOps principles achieve 46x more frequent software deployments than their competitors, 96x faster recovery from failures, and 440x faster lead time for changes. There seems little room for doubt any longer about the impact of DevOps.

DevOps aims at integrating the development and operations teams to enable rapid software delivery. By fuelling better communications and collaboration, it helps to shorten development cycles, increase deployment frequency, and meet business needs in the best possible manner. Using DevOps, software organizations can reduce development complexity, detect and resolve issues faster, and continuously deliver high-quality, innovative software. The two pillars of successful DevOps practice are continuous integration and continuous delivery. So, what are these terms? What do they mean? And how do they help in meeting the growing demands of the software product industry? Let’s find out!

Continuous Integration

Definition: Continuous Integration (CI) aims at integrating the work products of individual developers into a central repository early and frequently. When done several times a day, CI ensures early detection of integration bugs. This, in turn, results in better collaboration between teams, and eventually a better-quality product.

Goal: The goal of CI is to make the process of integration a simple, easily-repeatable, and everyday development task to reduce overall build costs and reveal defects early in the cycle. It gets developers to carry out integration sooner and more frequently, rather than at one shot in the end. Since in practice, a developer will often discover integration challenges between new and existing code only at the time of integration, if done early and often, conflicts will be easier to identify and less costly to solve.

Process: With CI, developers frequently integrate their code into a common repository. Rather than building features in isolation and submitting each of them at the end of the cycle, they continuously build software work products several times on any given day. Every time the code is inputted, the system starts the compilation process, runs unit tests and other quality-related checks as needed.

Dependencies: CI relies heavily on test suites and an automated test execution. When done correctly, it enables developers to perform frequent and iterative builds, and deal with bugs early in the lifecycle.

Continuous Delivery

Definition: Continuous Delivery (CD) aims to automate the software delivery process to enable easy and assured deployments into production —at any time. By using an automatic or manual trigger, CD ensures the frequent release of bug-free software into the production environment and hence into the hands of the customers.

Goal: The main goal of CD is to produce software in short cycles so that new features and changes can be quickly, safely, and reliably released at any time. Since CD involves automating each of the steps for build delivery, it minimizes the friction points that are inherent in the deployment or release processes and ensures safe code release can be done at any moment.

Process: CD executes a progressive set of test suites against every build and alerts the development team in case of a failure, which then rectifies it. In situations where there are no issues, CD conducts tests in a sequential manner. The end result is a build that is deployable and verifiable in an actual production environment.

Dependencies: Since CD aims at building, testing, and releasing software quickly and frequently, it depends on an automated system that helps the development team to automate the testing and deployment processes. This is to ensure the code is always in a deployable state.

CI/CD for Continued Success

Software development involves a high degree of complexity that requires teams to embrace new and modern development methodologies in order to meet the needs of business and end-users alike. DevOps focuses on the continuous delivery of software through the adoption of agile, lean practices. The pillars of DevOps, CI, and CD, improve collaboration between operations and development teams and enable the delivery of high-quality software for continued success. RightScale estimates that over 84% of organizations have adopted some aspect of DevOps principles -it’s time you do too. As DevOps pundit Jez Humble rightly says, “DevOps is not a goal, but a never-ending process of continual improvement”.