Application Life Cycle Management (ALM)- a PoV

balaji ramarajanbalaji ramarajan
12 min read

Although many of the organizations are mature enough to manage the life cycle of their ecosystem held applications, they still find it difficult to cope up with the current trend and they have various questions in common like,

  • ALM in the Cloud world

  • ALM for Partner and COTS applications

  • ALM across environments

  • Framework driven approach to ALM

  • Factory driven approach to ALM

  • ITIL/ITSM impact on ALM

  • Enterprise Architecture guidance to ALM

  • Impact of Agile in ALM

  • Prominent ALM tools in market

In this digital world many of my customers struggle to manage the Application lifecycle of cloud hosted applications, COTS and partner application as they have moved away from the periodic ALM activity that they are supposed to perform. The urge to compete with new age players, Agile- delivery and cloud based delivery models did not allow them to manage the application life cycle in a coordinated manner. In this paper , I will try to answer to the above questions.

Application Lifecycle Management (ALM) is a comprehensive approach to managing the software development process, from ideation to retirement. It encompasses a set of processes, tools, and methodologies that help organizations deliver high-quality, reliable, and secure software applications.

ALM offers - Improved software quality, Increased agility, Improved compliance and Reduced development costs.

ALM in the Cloud world

ALM can be applied to cloud-hosted applications, whether they are private, public, or hybrid. There are some specific considerations that organizations need to take into account when using ALM for cloud-hosted applications, including:

  • The type of cloud environment: The type of cloud environment that an organization uses (private, public, or hybrid) will affect the way that ALM is implemented.

  • The cloud provider: The cloud provider that an organization uses will have its own set of ALM tools and services.

  • The security requirements of the application: The security requirements of the application will need to be taken into account when implementing ALM.

  • Many of the platforms offer Cloud based ALM platforms and Infrastructure as a Code (IaC) tools to manage the cloud infrastructure.

There are a number of best practices that organizations can follow when using ALM for cloud-hosted applications, including:

  • Adopt a DevOps approach : a set of practices that combines software development and IT operations.

  • Automate as much of the ALM process as possible: Automation can help to reduce the time and cost of ALM.

  • Use cloud-based ALM tools: Cloud-based ALM tools can provide organizations with greater flexibility and scalability.

  • Monitor the performance of your cloud-hosted applications: Monitoring can help to identify and resolve problems early.

ALM for Partner and COTS applications

COTS (Commercial Off-the-Shelf) and partner applications are becoming increasingly important in today's enterprise IT landscape. These applications can provide organizations with a wide range of capabilities, but they can also introduce new challenges in terms of application lifecycle management (ALM).

Major Challenges, as there is higher inter-dependency with Partners

  • Visibility and control: Organizations often have limited visibility into the development and release processes of COTS and partner applications. This can make it difficult to manage these applications effectively and ensure that they meet the organization's security and compliance requirements.

  • Integration: COTS and partner applications often need to be integrated with other enterprise applications. This can be a complex and time-consuming process, and it can be difficult to troubleshoot integration issues.

  • Support: Organizations may need to rely on the COTS or partner application vendor for support. This can be a problem if the vendor is not responsive or if the organization does not have a good relationship with the vendor.

To overcome the challenges of ALM for COTS and partner applications mentioned above I would suggest the below strategies,

  • Establish a governance framework: Organizations should establish a governance framework for COTS and partner applications. This framework should define the roles and responsibilities of different stakeholders, as well as the processes for managing these applications.

  • Define clear requirements: Organizations should define clear requirements for COTS and partner applications. These requirements should be documented and communicated to the vendor or partner.

  • Implement a centralized repository: Organizations should implement a centralized repository for COTS and partner application documentation. This repository should include information about the application, its configuration, and its dependencies.

  • Establish a testing strategy: Organizations should establish a testing strategy for COTS and partner applications. This strategy should include unit testing, integration testing, and system testing.

  • Implement a monitoring and alerting system: Organizations should implement a monitoring and alerting system for COTS and partner applications. This system should monitor the performance and health of these applications and alert the organization to any problems.

ALM across environments

ALM across environments, including Business Continuity Planning (BCP), is crucial for organizations to ensure the availability and resilience of their applications in the event of disruptions. As we know, BCP is a process that identifies potential threats to an organization's business operations and develops plans to ensure that critical applications and data can be recovered quickly.

Strategies that organizations can use to integrate ALM and BCP, including:

  • Use ALM tools to automate BCP tasks: ALM tools can be used to automate tasks such as backing up data, testing applications, and deploying applications to recovery environments.

  • Integrate BCP data into ALM tools: BCP data, such as recovery time objectives (RTOs) and recovery point objectives (RPOs), can be integrated into ALM tools to help organizations track progress and identify potential risks.

  • Use ALM tools to monitor BCP compliance: ALM tools can be used to monitor BCP compliance by tracking the status of BCP plans and procedures.

  • Implement a centralized repository: Organizations should implement a centralized repository for ALM and BCP documentation. This repository should include information about the integration of ALM and BCP, as well as the processes and procedures for managing applications in the event of a disruption.

  • If possible try to build a governance framework that defines the roles and responsibilities of different stakeholders in the integration of ALM and BCP.

organizations can ensure that their ALM and BCP processes are integrated effectively that their applications are resilient to disruptions.

Framework driven approach to ALM

An ALM framework is a set of processes, tools, and methodologies that help organizations deliver high-quality, reliable, and secure software applications. It is a comprehensive approach to managing the software development lifecycle, from planning and design to deployment, maintenance, and retirement.

ALM frameworks can be implemented for both on-premises and cloud-hosted applications. There are a number of cloud-based ALM tools and platforms available that can help organizations manage their cloud-hosted applications.

Some of the key principles of ALM framework-driven work:

  • Focus on the end-to-end lifecycle of the application.

  • Use a standardized set of processes, tools, and methodologies.

  • Automate as much of the process as possible.

  • Use a centralized repository for all application documentation.

  • Monitor the performance of the application throughout its lifecycle.

Factory driven approach to ALM

ALM factory is a standardized and centralized approach to application lifecycle management (ALM) that leverages automation, best practices, and reusable components to streamline the development, deployment, and maintenance of software applications. It aims to improve the overall efficiency, quality, and cost-effectiveness of ALM processes.

Key characteristics of an ALM factory:

· Standardization: Establishes a consistent set of processes, tools, and methodologies across the ALM lifecycle.

· Centralization: Creates a centralized hub for managing ALM activities, providing a single source of truth for application information.

· Automation: Automates repetitive tasks and workflows to reduce manual effort and improve efficiency.

· Reusable components: Promotes the use of reusable components, such as code templates, test scripts, and documentation templates, to accelerate development and reduce errors.

· Metrics-driven approach: Continuously measures and monitors key performance indicators (KPIs) to identify areas for improvement and track progress towards goals.

Implementation considerations for an ALM factory:

· Define clear goals and objectives: Clearly articulate the desired outcomes and benefits of implementing an ALM factory.

· Assess current ALM practices: Evaluate existing processes, tools, and methodologies to identify areas for improvement and potential roadblocks.

· Establish a governance framework: Define roles, responsibilities, and decision-making processes for managing the ALM factory.

· Select appropriate tools and technologies: Choose tools that align with the organization's needs, budget, and technical expertise.

· Train and educate staff: Provide training and support to ensure staff understands and can effectively utilize the ALM factory processes and tools.

· Continuously monitor and improve: Regularly monitor KPIs, gather feedback, and make adjustments to optimize the ALM factory's effectiveness.

ITIL/ITSM impact on ALM

ALM and ITIL/ITSM are complementary frameworks that can be effectively integrated to optimize the delivery of software applications and IT services.

  • ALM provides the foundation for ITIL/ITSM processes. ALM tools and methodologies can be used to automate tasks, track progress, and manage requirements throughout the software development lifecycle. This data can then be integrated with ITIL/ITSM systems to provide insights into application performance and identify potential risks.

  • ITIL/ITSM provides the governance and structure for ALM processes. ITIL/ITSM frameworks define roles, responsibilities, and processes for managing IT services, including software development. This governance can help to ensure that ALM processes are standardized, repeatable, and efficient.

Enterprise Architecture guidance to ALM

Application Lifecycle Management (ALM) and Enterprise Architecture (EA) are two complementary disciplines that play crucial roles in ensuring the successful development, deployment, and management of software applications within an enterprise. While ALM focuses on the end-to-end lifecycle of individual applications, EA provides a holistic view of the entire IT landscape, ensuring that applications align with the overall business strategy and architecture.

Integrating ALM and EA can bring significant benefits to organizations, including:

  • Improved alignment of applications with business strategy: EA provides a framework for aligning IT investments with business objectives, ensuring that ALM efforts are directed towards applications that support the organization's strategic goals.

  • Optimized IT investments: EA can help identify and prioritize IT investments, ensuring that resources are allocated to the most critical applications.

  • Reduced IT complexity: EA can help simplify the IT landscape by identifying and eliminating redundancies and inconsistencies, making it easier to manage and maintain applications.

  • Improved application quality: EA can help to identify and address potential architectural flaws that could impact application quality and performance.

  • Increased agility: Integrating ALM and EA can streamline the development and deployment process, enabling organizations to respond more quickly to changing business needs.

ALM guided by EA, organizations can leverage the strengths of both disciplines to achieve better alignment of IT with business strategy, optimize IT investments, manage IT complexity, improve application quality, and increase agility.

Impact of Agile in ALM

ALM practices can be seamlessly integrated into Agile development to enhance the overall efficiency and effectiveness of the software development process. To effectively integrate ALM and Agile, organizations can follow these strategies:

1. Choose Agile-friendly ALM tools: Select ALM tools that are designed to support Agile methodologies and provide flexibility for iterative development.

2. Adapt ALM processes: Tailor ALM processes to fit the Agile framework, focusing on continuous integration, continuous delivery, and continuous feedback.

3. Integrate ALM tools with Agile tools: Integrate ALM tools with Agile project management tools, such as Jira or Trello, to provide a seamless workflow between development, testing, and deployment.

4. Train and educate teams: Provide training and support to ensure that teams understand how to use ALM tools and practices effectively in an Agile environment.

5. Continuously evaluate and improve: Regularly assess the effectiveness of ALM and Agile integration and make adjustments as needed to optimize the process and achieve desired outcomes.

By combining ALM's structured approach with Agile's adaptability and focus on continuous feedback, organizations can achieve a balance between quality, efficiency, and responsiveness to change, ultimately delivering high-quality software applications that meet business needs.

Prominent ALM tools in market

Application Lifecycle Management (ALM) landscape encompasses a wide range of tools that cater to various aspects of the software development process, from requirements gathering and design to deployment, testing, and maintenance. Here's a compilation of prominent ALM tools across different categories:

Requirements Management Tools:

1. Jama Software: A comprehensive requirements management platform that provides traceability, collaboration, and change management capabilities.

2. Visure Requirements: A requirements management tool that enables requirements capture, analysis, and validation, ensuring alignment with project goals.

3. IBM Rational DOORS: A powerful requirements management tool that supports complex projects and offers integration with other ALM tools.

Version Control Systems:

1. Git: A widely used open-source version control system known for its distributed nature and flexibility.

2. Subversion: A reliable and mature version control system that offers ease of use and scalability.

3. Microsoft Team Foundation Version Control (TFVC): A version control system integrated with Microsoft Visual Studio, providing seamless integration with development tools.

Build and Deployment Tools:

1. Jenkins: An open-source continuous integration and continuous delivery (CI/CD) tool that automates the software build and deployment process.

2. Bamboo: A powerful CI/CD tool from Atlassian that supports complex build and deployment pipelines.

3. Azure DevOps Pipelines: A cloud-based CI/CD tool from Microsoft that integrates with other Azure services.

Testing Tools:

1. Selenium: An open-source web automation framework that supports various testing scenarios, including functional and end-to-end testing.

2. JMeter: An open-source performance testing tool that simulates user interactions and measures application responsiveness under load.

3. Appium: An open-source mobile testing framework that enables testing of native and mobile web applications.

Monitoring and Alerting Tools:

1. Nagios: An open-source monitoring tool that tracks the performance and health of IT infrastructure, including servers, applications, and networks.

2. Splunk: A powerful log management and analytics tool that provides insights into application behavior and identifies potential issues.

3. Grafana: An open-source data visualization tool that creates dashboards and graphs to monitor key performance indicators (KPIs) and metrics.

These tools represent just a fraction of the vast array of ALM solutions available, and the specific tools chosen will depend on the organization's needs, budget, and technical expertise.

ALM and Application Rationalization

Application Lifecycle Management (ALM) and application rationalization are two interrelated processes that play a crucial role in managing the software portfolio and optimizing IT resources within an organization. While ALM focuses on the end-to-end lifecycle of individual applications, application rationalization involves assessing the overall application portfolio, identifying redundant or underutilized applications, and making strategic decisions about their future.

ALM and governance

Application Lifecycle Management (ALM) and governance are two interconnected concepts that play crucial roles in ensuring the successful delivery, deployment, and management of software applications within an organization. ALM provides a structured approach to managing the entire software development lifecycle, while governance establishes the policies, processes, and standards that ensure that ALM activities are conducted in a controlled, compliant, and aligned with the organization's overall objectives.

Strategies for Implementing ALM Governance

Implementing effective ALM governance requires a strategic approach that involves:

1. Assess Current Practices: Evaluate existing ALM practices, identify areas for improvement, and assess compliance with relevant regulations and standards.

2. Define Governance Framework: Establish a clear governance framework that outlines roles, responsibilities, policies, procedures, and standards for ALM activities.

3. Implement Governance Tools: Utilize governance tools to automate tasks, track compliance, and monitor ALM processes.

4. Train and Educate Teams: Provide training and support to ensure that teams understand and can effectively implement ALM governance practices.

5. Continuously Monitor and Improve: Regularly review and update ALM governance practices to adapt to changing business needs, regulatory requirements, and technological advancements.

By effectively integrating ALM and governance, organizations can achieve a higher level of maturity in their software development and deployment processes, resulting in improved software quality, reduced costs, increased agility, enhanced security, and improved compliance.

By having an effective ALM approach an organization can manage their applications irrespective of the environment and delivery model.

Published by

Balaji Ramarajan

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Written by

balaji ramarajan
balaji ramarajan

Balaji Ramarajan is a Practicing Enterprise Architect with more than 15+ years of Leading Enterprise Architecture themes across domains. He has an extensive knowledge in the Banking and Financial services area and also in the Telecom Domain.