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Progressive Delivery

Achieve Continuous Delivery Excellence with Progressive Strategies

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Continuous Integration, Delivery, and Feature Flag Control

Empower fast iteration, risk reduction, user feedback collection, and efficient product delivery.

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Mitigated Risk

Introduce features to a user subset in production, enabling in-production testing and swift deactivation in case of failure.

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Reduced Downtime

Instantly toggle off malfunctioning features, requiring no additional development or deployment for reversion.

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Incremental Rollout

Divide features into smaller sets for safe production release, initially accessible to select users for feedback-driven enhancements.

Industry Benefits

Progressive delivery can impact different sectors in distinct ways.

Software Development

Highly Regulated Industries

Quality Engineering

Microservice Architectures

DevOps Practices

Individual using a laptop, showcasing progressive delivery's transformative impact on software development and deployment efficiency.

Software Development

Progressive delivery revolutionizes software development, enabling faster code deployment, risk reduction, and ongoing customer experience refinement. By integrating safety measures and control mechanisms, companies can confidently pursue continuous integration and delivery, ensuring efficient software delivery.

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Highly Regulated Industries

Sectors such as healthcare or finance, which face strict regulations, can utilize progressive delivery to rigorously test and validate changes before deployment. This strategy facilitates delivering precise software updates to customers at optimal times while balancing speed and oversight.

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Quality Engineering

In quality engineering, progressive delivery prioritizes control over feature accessibility, ensuring gradual releases to targeted user groups for testing and feedback. This streamlined approach enhances software product quality through meticulous feature rollout management.

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Microservice Architectures

Progressive delivery influences microservice architectures by offering enhanced control over development, delivery, and releases. This enables accelerated code shipping, risk reduction, and improved user experiences through meticulous management of feature rollout timing and audience impact.

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DevOps Practices

Progressive delivery serves as a vital facilitator of DevOps methodologies, enabling organizations to pursue CI/CD securely while retaining oversight of feature deployments. Through the integration of progressive delivery techniques such as feature flags, canary testing, A/B testing, and controlled rollouts, DevOps teams can efficiently refine their software delivery pipelines.

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Continuous Data Value for Digitized Businesses

Empowering Enterprises to optimize insight delivery, adopt advanced intelligence and embed analytics capabilities into your applications.

Drive Business Value

Fundamental Aspects of Progressive Delivery Implementation

Facilitate efficient software delivery, customer-centric responsiveness, and drive business success and satisfaction.

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Release Progressions

Strategically expands user access to new features through controlled release progressions, allowing for iterative testing and refinement to optimize product performance.

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Progressive Delegation

Emphasizes gradual feature control delegation, starting with engineers for development and testing, then transferring to product managers for deployment, ensuring controlled releases and focused engineering efforts.

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Control and Visibility

Influencing feature visibility, deployment timing, and release authority. Maintaining precise control over feature rollouts and adjusting user access ensures seamless transitions, effective feedback collection, and continuous product improvement with agility.

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Progressive Delivery Use Cases

Optimize software releases, boost customer satisfaction, and drive business growth and innovation.

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Canary Testing

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Gradually releasing updates to a small user group to monitor performance and gather feedback before wider release.

Blue/Green Deployment

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Maintaining identical production environments for seamless, zero-downtime deployments and easy rollback if needed.

Feature Experimentation

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Releasing new features to a subset of users to measure impact and refine based on feedback.

A/B Testing

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Comparing different versions of features to determine the most effective design or functionality.

Competencies

AWS Partner in Advanced Tier Services
Microsoft Partner in Data Performance and Data Analytics
Google Cloud Partner
Power BI Competency
Databricks Competency
Kubernetes Certified Service Provider

Unlock efficiency and reliability in software deployment with insights from our expert consultants

Take your software delivery to the next level with personalized support and streamline your release cycle.

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