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3 Dec
min read

Ultimate Guide On Deployment Automation

Boost efficiency and reliability with deployment automation. Streamline processes, and accelerate software delivery for optimal results.

Jack Dwyer

Platform Engineering + DevOps

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In today's fast-paced digital landscape, efficiency, and precision are paramount when it comes to software development and deployment. That's where deployment automation comes into play. With its seamless integration of technology and streamlined processes, deployment automation has revolutionized the way organizations deliver their software solutions.

Imagine a world where deployment strategy is no longer a headache-inducing task, but rather a smooth and efficient process that ensures your software reaches the right audience at the right time. Deployment automation makes this dream a reality. By leveraging a range of cutting-edge techniques and tools, this innovative approach eliminates the need for manual intervention, reducing the risk of human error and saving valuable time and resources.

Join us on this journey as we delve into the intricacies of deployment automation and explore the myriad benefits it offers. From increased efficiency and improved software quality to faster time-to-market and enhanced customer satisfaction, we will uncover how deployment automation can transform your business and empower your development teams. So, buckle up and prepare to embark on a captivating exploration of this game-changing technology. Let's unlock the full potential of deployment automation together.

What Is Deployment Automation?

developers discussion about options for deployment automation

In the world of software development and IT operations, the efficiency of deploying applications and software updates plays a crucial role. This is where deployment automation shines, offering a streamlined approach to the deployment process. 

Deployment automation refers to the use of software tools and technologies to automate the process of releasing and deploying software applications or updates into various environments, such as development, testing, staging, and production. It involves automating the steps involved in packaging, configuring, and deploying applications, all while minimizing the need for manual intervention.

Differences between Manual and Automated Deployment

Manual deployment processes involve human intervention at each step, requiring manual execution of commands, configuration changes, and package installations. This approach is prone to errors and can be time-consuming, especially when dealing with complex applications or large-scale deployments.

On the other hand, automated deployment relies on predefined scripts or configuration files that can be executed automatically. This eliminates the need for manual intervention and reduces the chances of human error. With automation, deployment processes become more reliable, repeatable, and scalable.

Key Advantages of Automated Deployment

1. Increased Efficiency

Automated deployment significantly speeds up the release cycle, allowing organizations to deliver software updates and new features more frequently. By eliminating manual intervention, the process becomes faster and more consistent, reducing the time required to deploy applications.

2. Improved Accuracy

Manual deployments are prone to human error, leading to configuration mistakes or improper package installations. Automated deployment eliminates these risks by following predefined scripts, ensuring consistent and accurate deployments across different environments.

3. Enhanced Scalability

As software development and deployment become more complex, scalability becomes a critical consideration. Automated deployment enables organizations to scale their operations efficiently, allowing them to handle larger workloads and meet growing demand without sacrificing quality or efficiency.

4. Reduced Downtime

Manual deployments often involve scheduled maintenance windows, resulting in downtime for end-users. With automated deployment, organizations can minimize downtime by deploying updates during off-peak hours or using techniques like blue-green deployments, where new versions are rolled out gradually without affecting the availability of the application.

5. Simplified Rollbacks

In the event of an issue or error in a deployment, rolling back to a previous version becomes much easier with automated deployment. The ability to revert to a known and stable version reduces the impact of failures and ensures business continuity.

6. Consistency and Standardization

Automated deployment enforces consistency by following predefined scripts and configurations. This standardization reduces the risk of configuration drift and ensures that deployments are performed in a consistent manner, regardless of the environment or the team responsible for the deployment.

In software development and IT operations, deployment automation offers numerous advantages over manual processes. By streamlining the deployment process, organizations can achieve increased efficiency, improved accuracy, enhanced scalability, reduced downtime, simplified rollbacks, and consistency in deployment practices. Embracing automation enables businesses to stay competitive, deliver updates more frequently, and adapt to the ever-evolving demands of the digital landscape.

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Benefits of Deployment Automation

How Deployment Automation Ensures Consistency and Reliability Across Various Environments

Ensuring consistency and reliability across various environments is a crucial aspect of any software deployment process. In the realm of deployment automation, there are several key mechanisms that help achieve this goal.

1. Configuration Management

A fundamental aspect of deployment automation is the ability to manage and control the configuration of software components across different environments. With deployment automation tools, organizations can define and enforce consistent configurations for each environment, ensuring that the software is deployed with the correct settings and dependencies. This eliminates human error in configuration and guarantees consistency across environments.

2. Version Control

Version control is another critical element of deployment automation that promotes consistency and reliability. By using version control systems such as Git, organizations can ensure that the same codebase is used across all environments. This allows for easy tracking and management of changes made to the code, ensuring that the deployed software is always built from a known and reliable version.

3. Automated Testing

Deployment automation enables the implementation of automated testing processes, which play a vital role in ensuring the reliability of software deployments. By automating tests for different environments, organizations can verify that the software functions as expected in various scenarios. This includes functional testing, performance testing, and integration testing, among others. Automated testing provides a safety net, catching potential issues before they impact users in different deployment environments.

4. Rollback and Recovery

In the event of a deployment failure or issue, deployment automation provides mechanisms for rollback and recovery. By automating the process of rolling back to a previously known working state, organizations can quickly revert any changes that caused the issue. This ensures that the software environment is restored to a reliable state, minimizing downtime and maintaining consistency across environments.

Addressing Scalability Concerns in Growing or Large-Scale Environments

As organizations grow or operate in large-scale environments, scalability becomes a critical concern. Deployment automation offers several approaches to address these challenges and ensure efficient and scalable software deployments.

1. Infrastructure as Code

Infrastructure as Code (IaC) is a key concept in deployment automation that addresses scalability concerns. With IaC, organizations can define their infrastructure requirements using code, allowing for automated provisioning and scaling of resources. This approach enables easy replication of environments, ensuring consistent deployment across multiple instances. By automating the provisioning process, organizations can rapidly scale their infrastructure to meet growing demands, reducing manual effort and improving efficiency.

2. Parallel Deployment

Deployment automation enables parallel deployment, which is essential in large-scale environments. With parallel deployment, organizations can deploy multiple instances of their software simultaneously, reducing deployment time and minimizing disruption to users. This approach is particularly useful for cloud-based environments, where resources can be easily provisioned and scaled up or down as needed.

3. Continuous Integration and Delivery

Continuous Integration (CI) and Continuous Delivery (CD) are practices closely tied to deployment automation that facilitate scalability. CI involves regularly merging code changes into a shared repository and running automated tests to detect integration issues early. CD takes CI a step further by automating the deployment process from the shared repository to various environments. By implementing CI/CD pipelines, organizations can rapidly deploy changes to multiple environments in a scalable and reliable manner.

4. Containerization

Containerization, using technologies like Docker, is another approach to address scalability concerns in deployment automation. Containers provide a lightweight and isolated environment for deploying software, allowing for easy scaling and distribution of applications across different hosts. By encapsulating software and its dependencies into containers, organizations can scale deployments efficiently and ensure consistency across environments.

Deployment automation plays a crucial role in ensuring consistency and reliability across various environments. Through mechanisms like configuration management, version control, automated testing, and rollback and recovery, deployment automation ensures that software deployments are consistent and reliable. Deployment automation addresses scalability concerns in growing or large-scale environments through approaches such as infrastructure as code, parallel deployment, continuous integration and delivery, and containerization. These strategies enable organizations to efficiently scale their deployments, maintain consistency, and meet the demands of a rapidly evolving software landscape.

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Steps Involved In Deployment Automation

coder testing his newly executed deployment automation

In software development, deployment automation has emerged as a crucial aspect of the software development lifecycle. It streamlines the process of taking code from development to production, ensuring efficiency, reliability, and speed. Let's embark on a journey through the primary stages involved in the deployment automation process, and explore how each step contributes to the seamless delivery of software.

Version Control - The Backbone of Collaboration

Version control is the foundation of deployment automation. Through tools like Git or Subversion, developers can track changes, manage code branches, and collaborate effectively. By maintaining a centralized repository, developers can easily access, modify, and merge code, thereby ensuring a smooth transition between development environments.

Continuous Integration - Building Blocks of Quality Assurance

Continuous Integration (CI) is an integral part of deployment automation, where developers integrate their code changes into a shared repository regularly. CI servers like Jenkins or Travis CI monitor this repository for updates and automatically trigger build processes. This allows for rapid identification of integration issues, as well as running automated tests, ensuring code stability and quality.

Infrastructure as Code - Shaping Environments with Precision

The concept of Infrastructure as Code (IaC) revolutionizes the deployment process by enabling developers to define and provision infrastructure using code. Tools like Terraform or CloudFormation allow for the creation and management of infrastructure resources in a declarative manner. This ensures that development, staging, and production environments are consistent, scalable, and easily reproducible.

Continuous Deployment - A Swift Journey to Production

Continuous Deployment (CD) takes CI a step further, automating the release process to swiftly push code changes to production. CD pipelines, built using tools like AWS CodePipeline or GitLab CI/CD, orchestrate the entire deployment process, from building and testing to deploying the application. With proper monitoring and rollback mechanisms in place, CD ensures fast, reliable, and error-free deployment to end-users.

Configuration Management - Harmonizing the Ecosystem

Configuration Management tools such as Ansible or Puppet play a vital role in ensuring consistency across environments. By defining and managing configurations using code, these tools automate the setup and maintenance of servers, applications, and dependencies. This facilitates the seamless transition of applications between different environments, reducing the chance of configuration-related errors.

Monitoring and Logging - Illuminating the Deployment Path

Monitoring and logging tools like Prometheus or ELK stack are essential for maintaining visibility into the deployed application. By collecting and analyzing metrics, logs, and events, these tools help identify performance issues, track errors, and ensure the overall health of the system. Monitoring and logging also enable proactive measures to optimize and troubleshoot the deployed application.

Post-Deployment Validation - Ensuring a Solid Foundation

Post-deployment validation is critical to determine if the deployment was successful and the application is functioning as expected. This stage involves running automated tests, performing user acceptance testing, and verifying the system's behavior against defined expectations. Through comprehensive validation, any issues or discrepancies can be identified and addressed promptly, ensuring a sturdy foundation for the deployed application.

The journey from code to production in deployment automation encompasses various stages, each playing a pivotal role in ensuring seamless, reliable, and efficient software deployment. By embracing these stages, developers can empower themselves with the tools and processes needed to navigate the complex landscape of deployment automation, enabling them to deliver high-quality software products to end-users with confidence.

Integrating Deployment Automation With CI/CD

mini robot working on deployment automation

In the fast-paced world of software development, time is of the essence. To keep up with the demand for rapid and efficient delivery, developers have turned to deployment automation and Continuous Integration/Continuous Deployment (CI/CD). These two concepts, when integrated seamlessly, can work wonders in streamlining the software development lifecycle.

Continuous Integration (CI)

Continuous Integration (CI) is all about merging code changes into a central repository, enabling teams to collaborate effectively and catch any integration issues early on. By automating the process, CI eliminates the manual effort of merging code, reducing the risk of human error and ensuring that changes are validated quickly.

Continuous Deployment (CD)

Continuous Deployment (CD) takes CI a step further, automating the process of deploying the integrated code to production environments. CD enables teams to rapidly deliver new features and bug fixes to end-users, minimizing the time between development and deployment.

The Seamless Integration

The integration of deployment automation with CI/CD pipelines is where the magic happens. Let's explore the different aspects of this powerful duo:

Automating the Build Process

One of the key components of CI is the build process, where the code is compiled, tested, and packaged. With deployment automation, this process can be fully automated, ensuring consistency and efficiency. By automatically triggering the build process whenever changes are pushed to the repository, developers can focus on writing code while the system takes care of the rest.

Automated Testing and Quality Assurance

Testing is a critical part of software development, and automating this aspect is crucial for achieving CI/CD goals. Deployment automation enables automated testing, including unit tests, integration tests, and even end-to-end tests. This ensures that any potential issues or bugs are caught early on, reducing the risk of deployment failures.

Infrastructure as Code (IaC)

Infrastructure as Code (IaC) is a practice that allows teams to define and manage infrastructure resources through code. By incorporating IaC into deployment automation, developers can automate the provisioning and configuration of infrastructure, ensuring consistency and reproducibility across different environments. Changes to infrastructure can be version-controlled and deployed alongside application code, providing a holistic approach to deployment.

Continuous Deployment to Multiple Environments

A CI/CD pipeline typically involves multiple environments, such as development, staging, and production. Deployment automation facilitates the seamless deployment of code to these environments, ensuring consistency and minimizing the risk of configuration drift. Automated deployment pipelines can be configured to promote code changes through different stages, enabling a smooth transition from development to production.

Rollbacks and Roll-forwards

Even with automated testing and rigorous quality assurance, issues may still arise after deployment. Deployment automation allows for easy rollbacks, reverting to a previously known good state in case of failures. Conversely, it also enables roll-forwards, automatically deploying fixes or updates to rectify any issues that are discovered post-deployment.

The integration of deployment automation with CI/CD pipelines is a game-changer in the world of software development. By automating the build process, testing, infrastructure provisioning, and deployment, teams can achieve faster time-to-market, increased productivity, and improved reliability. Embracing the power duo of deployment automation and CI/CD is the key to staying ahead in the ever-evolving landscape of software development.

Strategies for Building A Plan for Deployment Automation

developer working on a plan for deployment automation

Deploying automation can bring numerous benefits to organizations, such as increased efficiency, reduced errors, and faster time to market. To ensure successful implementation, organizations need to plan and prepare effectively. We will explore strategies and methodologies that organizations can adopt to plan and prepare for deploying automation.

1. Assessing Current Processes and Workflows

Before implementing automation, it is crucial to assess the current processes and workflows within the organization. This assessment helps identify areas that can benefit from automation and determines the scope of the deployment. By understanding the existing processes, organizations can effectively plan for automation and ensure a smooth transition.

2. Setting Clear Goals and Objectives

To plan and prepare for deploying automation, organizations need to set clear goals and objectives. Clearly defined goals provide a roadmap for the automation deployment, helping organizations prioritize tasks and allocate resources. Whether it is reducing manual work, improving accuracy, or enhancing productivity, having well-defined objectives ensures that the deployment aligns with the organization's overall strategy.

3. Identifying the Right Automation Tools and Technologies

Choosing the right automation tools and technologies is crucial for successful deployment. Organizations should evaluate different options based on their specific needs and requirements. They can consider factors such as scalability, flexibility, integration capabilities, and ease of use. By selecting the most suitable tools and technologies, organizations can maximize the benefits of automation and avoid potential pitfalls.

4. Creating a Detailed Deployment Plan

A detailed deployment plan is essential to ensure a seamless transition to automation. This plan should outline the steps involved in implementing automation, including identifying key milestones, assigning responsibilities, and establishing a timeline. It should also consider potential risks and contingency measures. With a well-defined deployment plan, organizations can effectively manage the implementation process and minimize disruption.

5. Training and Skill Development

Deploying automation often requires new skills and expertise. Organizations should invest in training programs to ensure that employees are equipped to work with the automation tools and technologies. Training should cover both technical aspects and any changes in job responsibilities. By providing the necessary training and skill development opportunities, organizations can ensure a smooth transition and maximize the value of automation.

6. Testing and Iterative Improvement

Testing is a critical step in deploying automation. Organizations should conduct thorough testing to identify any issues or bugs before full deployment. This process allows organizations to make necessary adjustments and improvements to enhance the automation solution's effectiveness. Organizations should embrace an iterative approach, continuously monitoring and refining the automation implementation to optimize results.

7. Change Management and Communication

Deploying automation often involves significant changes in workflows and job responsibilities. Effective change management and communication are essential to ensure smooth adoption and minimize resistance. Organizations should communicate the benefits of automation clearly, address any concerns or misconceptions, and involve employees in the process. By fostering a culture of open communication and providing support, organizations can facilitate a successful deployment.

Planning and preparation are vital for organizations to successfully deploy automation. By assessing current processes, setting clear goals, selecting the right tools, creating a detailed plan, providing training, conducting thorough testing, and managing change effectively, organizations can optimize the benefits of automation and drive growth and efficiency. Adopting these strategies and methodologies will position organizations for success in the increasingly automated world.

Typical Challenges You May Experience & How To Mitigate Them

developer confused with deployment automation

Implementing deployment automation can greatly streamline software release processes and improve overall efficiency. There are several challenges and pitfalls that organizations often face during the implementation. We will explore some of these challenges and provide strategies to mitigate them.

1. Resistance to Change - Embracing Automation

One of the major hurdles in implementing deployment automation is the resistance to change from the development and operations teams. Many individuals may be reluctant to give up their familiar manual processes and adopt automation. To overcome this challenge, it is crucial to demonstrate the benefits of automation, such as faster deployments, reduced errors, and increased scalability. Involving key stakeholders in the decision-making process and providing proper training and support can help alleviate concerns and encourage a smooth transition.

2. Lack of Standardization - Establishing Best Practices

Another challenge is the lack of standardization across different teams and departments. Without consistent practices and workflows, automation efforts can become chaotic and ineffective. To address this, organizations should establish clear guidelines and best practices for deployment automation. This includes defining naming conventions, file structures, and consistent programming languages. By implementing standardization, teams can ensure that automated processes are easily understood and replicated, leading to better collaboration and fewer errors.

3. Complex Application Dependencies - Managing Dependencies

Modern software applications often have complex dependencies on various components and frameworks. Managing these dependencies during deployment automation can be challenging and prone to errors. To mitigate this challenge, organizations can utilize tools and techniques such as dependency management systems, containerization, and virtualization. These technologies allow for better control and isolation of dependencies, making it easier to manage and deploy applications with minimal conflicts or issues.

4. Continuous Integration and Deployment - Streamlining the Process

Continuous integration and deployment (CI/CD) is a crucial element of deployment automation. Implementing CI/CD pipelines can be complex and time-consuming. Organizations should invest in robust CI/CD tools and frameworks that integrate seamlessly with their existing infrastructure. Adopting a modular and iterative approach to software development can help simplify the CI/CD process, making it easier to automate and deliver quality software at a rapid pace.

5. Security and Compliance - Ensuring Safety and Compliance

Automation introduces new challenges in terms of security and compliance. Organizations must ensure that automated deployments adhere to security protocols and meet regulatory requirements. Implementing security measures such as access controls, encryption, and audit trails can help protect sensitive data and mitigate risks. Regular auditing and compliance checks should also be performed to ensure that automated processes align with industry standards and regulations.

Implementing deployment automation can revolutionize software release processes, leading to faster deployments, reduced errors, and increased scalability. While there are challenges and pitfalls along the way, organizations can mitigate these challenges by embracing change, establishing standard practices, managing complex dependencies, streamlining CI/CD processes, and ensuring security and compliance. By addressing these challenges head-on, organizations can unlock the full potential of deployment automation and reap its numerous benefits.

Security Measures and Best Practices for Deployment Automation

machine learning code for deployment automation

In an era dominated by technology, organizations are increasingly adopting automated deployment processes to expedite software releases. With the rise of cyber threats and data breaches, it is crucial to prioritize security measures during deployment automation. By implementing robust safeguards and best practices, companies can protect their sensitive data, preserve the integrity of their code, and ensure successful deployments. Let's explore the essential security measures and best practices that are necessary to safeguard the automated deployment process.

1. Implement Role-Based Access Control (RBAC)

RBAC plays a pivotal role in ensuring the security of deployment automation. By assigning specific roles and permissions to individuals, organizations can limit access to critical resources and minimize the risk of unauthorized changes. RBAC ensures that only authorized personnel can initiate deployments, preventing malicious actors from compromising the system.

2. Secure Deployment Configuration Files

Deployment configuration files contain essential information such as credentials, API keys, and server configurations. Consequently, securing these files is of utmost importance. Employing encryption techniques such as asymmetric encryption ensures that even if an attacker gains access to these files, they won't be able to decipher the sensitive information.

3. Employ Continuous Integration/Continuous Deployment (CI/CD) Pipelines

CI/CD pipelines facilitate the automation of software delivery, including code compilation, testing, and deployment. These pipelines should be designed with security in mind. Implementing secure coding practices, vulnerability scanning, and automated testing at each stage of the pipeline helps identify and rectify security flaws early on, reducing the risk of deploying vulnerable code.

4. Use Secure Software Repositories

Software repositories serve as centralized locations for storing and managing code. It is crucial to utilize secure repositories that provide access controls, versioning, and encryption. By securing the repository, organizations can ensure that only trusted individuals have access to the codebase, mitigating the risk of unauthorized modifications and code injection.

5. Employ Secure Deployment Tools

When selecting deployment automation tools, it is essential to consider their security features. Look for tools that support secure protocols, offer strong authentication mechanisms, and allow for auditing and logging. Robust security measures in the deployment tools themselves significantly reduce the risk of unauthorized access and potential vulnerabilities.

6. Regularly Update and Patch Deployment Tools

Just like any other software, deployment tools may have vulnerabilities that can be exploited by attackers. To mitigate this risk, it is crucial to stay up to date with the latest releases and security patches for these tools. Regularly updating and patching deployment tools ensures that any known security vulnerabilities are addressed promptly.

7. Monitor and Audit Deployment Activities

Effective monitoring and auditing of deployment activities help detect any unauthorized or suspicious activities. Implementing comprehensive logging mechanisms provides visibility into who initiated deployments when they occurred, and what changes were made. This allows organizations to identify potential security breaches, track down the source of the problem, and take necessary actions to safeguard the deployment process.

Safeguarding the automated deployment process is paramount to protecting sensitive data and ensuring the integrity of the code. By implementing strong security measures such as role-based access control, securing deployment configuration files, utilizing CI/CD pipelines, employing secure software repositories and deployment tools, and monitoring and auditing deployment activities, organizations can fortify their deployment automation process against potential threats. Prioritizing security at every step ensures a robust, reliable, and secure deployment process.

Become a 1% Developer Team With Zeet

In today's competitive business landscape, companies are increasingly turning to the cloud and Kubernetes as powerful tools to drive innovation and efficiency. Making the most of these investments can be a complex and challenging process. That's where Zeet comes in. With our CI/CD deployment platform, we help businesses harness the full potential of their cloud and Kubernetes infrastructure.

Streamline Your Development Process with Zeet

Developing and deploying applications can be a time-consuming and error-prone process. From managing different environments to ensuring consistent deployment across multiple platforms, there are numerous challenges that engineering teams face. Zeet's CI/CD deployment platform streamlines the development process, allowing teams to focus more on coding and less on the complexities of deployment automation.

Achieve Continuous Integration and Continuous Deployment with Zeet

Continuous integration and continuous deployment (CI/CD) are key practices in modern software development. They enable teams to deliver updates and new features quickly and efficiently. Zeet's CI/CD deployment platform automates the entire process, from code integration to deployment, ensuring that your applications are always up-to-date and running smoothly.

Enhance Collaboration and Visibility with Zeet

Collaboration is crucial for successful software development. Yet, coordinating efforts across teams and ensuring everyone is on the same page can be a challenge. Zeet's CI/CD deployment platform promotes collaboration by providing a centralized platform where teams can easily share code, track progress, and communicate. With Zeet, everyone has visibility into the development and deployment process, leading to better collaboration and faster time-to-market.

Empower Your Engineering Team with Zeet

In the world of software development, strong individual contributors are essential for success. Zeet's CI/CD deployment platform empowers engineering teams by automating repetitive tasks, reducing the risk of human error, and freeing up time for more strategic work. With Zeet, engineers can focus on what they do best – writing code – while leaving the deployment automation to our platform.

Simplify Multi-Platform Deployment with Zeet

Deploying applications across different platforms can be a complex and time-consuming task. Zeet's CI/CD deployment platform simplifies multi-platform deployment, allowing teams to deploy their applications seamlessly across various cloud providers and Kubernetes clusters. With Zeet, you can ensure consistent deployment across all your environments, saving time and reducing the risk of errors.

Future-Proof Your Deployment Strategy with Zeet

Technology is constantly evolving, and keeping up with the latest trends and best practices is essential for staying ahead. Zeet's CI/CD deployment platform is designed to adapt to the ever-changing landscape of software development. Whether it's supporting new cloud providers or integrating with the latest tools and frameworks, Zeet ensures that your deployment strategy remains future-proof, allowing you to stay agile and competitive in a rapidly evolving industry.

Zeet's CI/CD deployment platform is a powerful tool that helps businesses unlock the full potential of their cloud and Kubernetes investments. By streamlining development processes, promoting collaboration, empowering engineering teams, simplifying multi-platform deployment, and future-proofing deployment strategies, Zeet enables companies to achieve faster time-to-market, increased efficiency, and improved competitiveness. With Zeet, you can take your deployment automation to the next level and drive innovation in your organization.

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