cloud computing Archives – G-AsiaPacific https://www.g-asiapac.com/tag/cloud-computing/ Intelligent Multi-cloud & Hybrid Solution Wed, 10 Jun 2026 08:57:13 +0000 en-GB hourly 1 https://wordpress.org/?v=6.9.4 https://www.g-asiapac.com/wp-content/uploads/2021/11/cropped-cropped-Favicon-1-100x100.png cloud computing Archives – G-AsiaPacific https://www.g-asiapac.com/tag/cloud-computing/ 32 32 JESS https://www.g-asiapac.com/123rf-2/ Wed, 10 Jun 2026 08:55:53 +0000 https://www.g-asiapac.com/?page_id=11025 Case Study: 123RF 123RF is a global digital content marketplace serving the creative media industry with stock photos, vectors, videos, audio, and AI-generated visual content. The platform supports designers, marketers, publishers, enterprises, and businesses worldwide, enabling millions of users to access high-quality visual assets for commercial, editorial, marketing, and creative projects at scale. As the […]

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Case Study: 123RF

123RF is a global digital content marketplace serving the creative media industry with stock photos, vectors, videos, audio, and AI-generated visual content. The platform supports designers, marketers, publishers, enterprises, and businesses worldwide, enabling millions of users to access high-quality visual assets for commercial, editorial, marketing, and creative projects at scale.


As the platform expanded globally, the engineering organization was responsible for building and maintaining a large-scale distributed architecture that powers content discovery, licensing, payments, search, AI services, and creator workflows.

Challenges

As the platform and engineering organization scaled, 123RF began experiencing several
challenges that impacted development velocity, software quality, and operational efficiency.

Declining Engineering Velocity

The growing microservices architecture increased system complexity, making it more difficult for developers to understand service dependencies, navigate the codebase, and deliver new features efficiently. Engineers were spending increasing amounts of time writing repetitive boilerplate code, tracing integrations, and debugging cross-service issues.

Code Review Bottlenecks

Senior engineers were dedicating an estimated 30–40% of their time to pull request reviews, reducing their availability for higher-value activities such as architecture planning, innovation, and mentoring. Many reviews focused on repetitive issues including formatting, style inconsistencies, and common implementation mistakes.

Slow Developer Onboarding

New developers required approximately 3–4 weeks to become productive due to fragmented documentation, inconsistent knowledge sharing, and the complexity of the existing codebase. Critical institutional knowledge often remained siloed within specific teams or individuals.

Inconsistent Test Coverage

Under tight delivery timelines, automated testing was frequently deprioritized. This resulted in uneven test coverage across services, increased regression risks, and higher engineering effort spent resolving production issues and bug fixes.

Requirements Misalignment

Product and engineering teams occasionally interpreted requirements differently, leading to multiple development iterations before features aligned with business expectations. The lack of a structured specification workflow contributed to avoidable rework and delivery delays.

Fragmented Documentation

Documentation across systems and services was often outdated or incomplete, making troubleshooting, onboarding, and cross-team collaboration more difficult as the organization scaled.

Why AWS Kiro

123RF selected AWS Kiro to modernize its software development workflow and improve engineering productivity across teams.

AI Assistance Within the Development Workflow

Kiro provides AI-assisted development capabilities directly within the IDE, minimizing context switching and enabling developers to remain focused throughout the development lifecycle.

Spec-Driven Development

Kiro’s spec-driven workflow encourages teams to define requirements, architecture, and implementation tasks before coding begins. This improved alignment between product and engineering teams while significantly reducing rework caused by requirement ambiguity.

Context-Aware Code Generation

Unlike generic AI coding assistants, Kiro leverages codebase awareness to generate suggestions aligned with 123RF’s architecture, coding patterns, and engineering conventions.

Built-In Automation and Governance

Agent hooks and automation workflows enabled the engineering organization to automate validations, enforce coding standards, and trigger quality checks throughout the development lifecycle.

Scalable Engineering Standards

Steering files allowed 123RF to codify engineering best practices, architectural decisions, and team standards in a reusable and scalable way, ensuring consistency as the organization continued to grow.

Outcomes Achieved

By adopting Kiro, 123RF significantly improved engineering efficiency,
software quality, and development consistency across teams.

Faster Feature Delivery

The spec-driven development model reduced requirement ambiguity and minimized rework cycles. Engineering teams were able to deliver features with fewer iterations and stronger alignment between product intent and implementation outcomes.

Reduced Code Review Burden

Automated pre-review checks allowed Kiro to identify common issues — including style violations, logical inconsistencies, and security concerns — before pull requests reached senior engineers. This enabled reviewers to focus on architecture, scalability, and strategic design decisions.

Improved Test Coverage

Automated test generation made comprehensive testing more practical within normal development workflows. Testing evolved from a separate, deprioritized activity into an integrated part of everyday engineering practices.

Faster Developer Onboarding

New engineers became productive in days instead of weeks by leveraging Kiro’s natural language capabilities to understand unfamiliar systems, services, and workflows more efficiently.

More Consistent Code Quality

Automated enforcement through agent hooks eliminated recurring style debates and improved consistency across engineering squads, regardless of team size or developer experience level.

How AWS Kiro Is Integrated Into the Development Workflow​

Use Case

How Kiro Helps

Feature Development

Spec-driven workflows (requirements → design → implementation tasks) improve alignment before development begins

Code Generation

Developers describe intent in natural language while Kiro generates implementations aligned with existing architecture and conventions

Code Review Assistance

Kiro performs automated pre-review checks for style issues, logical errors, and security concerns before human review

Test Writing

Automated generation of unit, integration, and property-based tests for critical business logic

Bug Investigation

AI-assisted analysis of stack traces, code paths, and likely root causes with remediation suggestions

Documentation

Automatic generation of API documentation, architecture decision records, and inline technical documentation

Developer Onboarding

New engineers use natural language queries to explore and understand unfamiliar parts of the codebase

Infrastructure as Code

Assistance with Terraform modules, deployment configurations, and CI/CD pipeline definitions

Quantifiable Business Benefits

Following the adoption of Kiro, 123RF achieved several measurable improvements:

  • Developer onboarding time reduced from approximately 3–4 weeks to about 1 week
  • Code review turnaround time reduced by approximately 50% through automated pre-review workflows
  • Test coverage across critical services increased from approximately 45% to 75% without requiring dedicated testing sprints
  • Boilerplate development tasks — including API endpoints, database models, and service integrations — reduced from hours to minutes
  • Estimated 20–30% improvement in overall engineering velocity based on sprint delivery metrics
  • Reduction in production incidents attributed to stronger automated testing and quality enforcement processes

Business Transformation and Future Innovation

Kiro fundamentally transformed how 123RF’s engineering teams operate.

By automating repetitive development tasks — including boilerplate generation, debugging assistance, documentation maintenance, and code quality enforcement — developers can focus more on solving business problems and building differentiated capabilities for customers worldwide.

The adoption of spec-driven development improved planning discipline and reduced costly implementation rework. As the engineering organization scales, Kiro continues to act as a force multiplier by maintaining consistency, accelerating onboarding, and reinforcing engineering standards across teams.

123RF is currently expanding Kiro adoption across all engineering squads while exploring deeper integration with CI/CD pipelines through agent hooks and workflow automation. The organization is also leveraging Kiro’s specification workflows for larger architectural initiatives where upfront design alignment delivers the greatest engineering and operational impact.

Customer Testimonial

“Kiro has become an essential part of how our engineering team operates. The spec-driven development approach alone has saved us countless hours of rework by ensuring we think through design decisions before implementation begins. Our developers ship faster, our code quality is more consistent, and new team members become productive much more quickly. It’s like giving every developer access to a senior engineering partner throughout the development lifecycle.”

AWS Partner Involvement

G-AsiaPacific Sdn Bhd worked closely with 123RF to introduce and operationalize Kiro across the engineering organization.

Their engagement included:

  • Conducting hands-on enablement workshops with engineering squads
  • Configuring steering files aligned with 123RF’s coding standards and architectural practices
  • Establishing spec-driven development workflows tailored to the organization’s delivery cadence
  • Supporting automation setup for agent hooks and engineering governance
  • Providing ongoing advisory support and best practices to maximize developer productivity with Kiro

The collaboration helped accelerate adoption while ensuring Kiro was integrated effectively into existing engineering processes and workflows.

Level Up with Us


Looking to venture into the clouds?
Evolve your business with cloud technology today!

Learn More

The post JESS appeared first on G-AsiaPacific.

]]> 123RF https://www.g-asiapac.com/123rf/ Mon, 25 May 2026 07:46:51 +0000 https://www.g-asiapac.com/?page_id=11000 Case Study: 123RF 123RF is a global digital content marketplace serving the creative media industry with stock photos, vectors, videos, audio, and AI-generated visual content. The platform supports designers, marketers, publishers, enterprises, and businesses worldwide, enabling millions of users to access high-quality visual assets for commercial, editorial, marketing, and creative projects at scale. As the […]

The post 123RF appeared first on G-AsiaPacific.

]]>

Case Study: 123RF

123RF is a global digital content marketplace serving the creative media industry with stock photos, vectors, videos, audio, and AI-generated visual content. The platform supports designers, marketers, publishers, enterprises, and businesses worldwide, enabling millions of users to access high-quality visual assets for commercial, editorial, marketing, and creative projects at scale.


As the platform expanded globally, the engineering organization was responsible for building and maintaining a large-scale distributed architecture that powers content discovery, licensing, payments, search, AI services, and creator workflows.

Challenges

As the platform and engineering organization scaled, 123RF began experiencing several
challenges that impacted development velocity, software quality, and operational efficiency.

Declining Engineering Velocity

The growing microservices architecture increased system complexity, making it more difficult for developers to understand service dependencies, navigate the codebase, and deliver new features efficiently. Engineers were spending increasing amounts of time writing repetitive boilerplate code, tracing integrations, and debugging cross-service issues.

Code Review Bottlenecks

Senior engineers were dedicating an estimated 30–40% of their time to pull request reviews, reducing their availability for higher-value activities such as architecture planning, innovation, and mentoring. Many reviews focused on repetitive issues including formatting, style inconsistencies, and common implementation mistakes.

Slow Developer Onboarding

New developers required approximately 3–4 weeks to become productive due to fragmented documentation, inconsistent knowledge sharing, and the complexity of the existing codebase. Critical institutional knowledge often remained siloed within specific teams or individuals.

Inconsistent Test Coverage

Under tight delivery timelines, automated testing was frequently deprioritized. This resulted in uneven test coverage across services, increased regression risks, and higher engineering effort spent resolving production issues and bug fixes.

Requirements Misalignment

Product and engineering teams occasionally interpreted requirements differently, leading to multiple development iterations before features aligned with business expectations. The lack of a structured specification workflow contributed to avoidable rework and delivery delays.

Fragmented Documentation

Documentation across systems and services was often outdated or incomplete, making troubleshooting, onboarding, and cross-team collaboration more difficult as the organization scaled.

Why AWS Kiro

123RF selected AWS Kiro to modernize its software development workflow and improve engineering productivity across teams.

AI Assistance Within the Development Workflow

Kiro provides AI-assisted development capabilities directly within the IDE, minimizing context switching and enabling developers to remain focused throughout the development lifecycle.

Spec-Driven Development

Kiro’s spec-driven workflow encourages teams to define requirements, architecture, and implementation tasks before coding begins. This improved alignment between product and engineering teams while significantly reducing rework caused by requirement ambiguity.

Context-Aware Code Generation

Unlike generic AI coding assistants, Kiro leverages codebase awareness to generate suggestions aligned with 123RF’s architecture, coding patterns, and engineering conventions.

Built-In Automation and Governance

Agent hooks and automation workflows enabled the engineering organization to automate validations, enforce coding standards, and trigger quality checks throughout the development lifecycle.

Scalable Engineering Standards

Steering files allowed 123RF to codify engineering best practices, architectural decisions, and team standards in a reusable and scalable way, ensuring consistency as the organization continued to grow.

Outcomes Achieved

By adopting Kiro, 123RF significantly improved engineering efficiency,
software quality, and development consistency across teams.

Faster Feature Delivery

The spec-driven development model reduced requirement ambiguity and minimized rework cycles. Engineering teams were able to deliver features with fewer iterations and stronger alignment between product intent and implementation outcomes.

Reduced Code Review Burden

Automated pre-review checks allowed Kiro to identify common issues — including style violations, logical inconsistencies, and security concerns — before pull requests reached senior engineers. This enabled reviewers to focus on architecture, scalability, and strategic design decisions.

Improved Test Coverage

Automated test generation made comprehensive testing more practical within normal development workflows. Testing evolved from a separate, deprioritized activity into an integrated part of everyday engineering practices.

Faster Developer Onboarding

New engineers became productive in days instead of weeks by leveraging Kiro’s natural language capabilities to understand unfamiliar systems, services, and workflows more efficiently.

More Consistent Code Quality

Automated enforcement through agent hooks eliminated recurring style debates and improved consistency across engineering squads, regardless of team size or developer experience level.

How AWS Kiro Is Integrated Into the Development Workflow​

Use Case

How Kiro Helps

Feature Development

Spec-driven workflows (requirements → design → implementation tasks) improve alignment before development begins

Code Generation

Developers describe intent in natural language while Kiro generates implementations aligned with existing architecture and conventions

Code Review Assistance

Kiro performs automated pre-review checks for style issues, logical errors, and security concerns before human review

Test Writing

Automated generation of unit, integration, and property-based tests for critical business logic

Bug Investigation

AI-assisted analysis of stack traces, code paths, and likely root causes with remediation suggestions

Documentation

Automatic generation of API documentation, architecture decision records, and inline technical documentation

Developer Onboarding

New engineers use natural language queries to explore and understand unfamiliar parts of the codebase

Infrastructure as Code

Assistance with Terraform modules, deployment configurations, and CI/CD pipeline definitions

Quantifiable Business Benefits

Following the adoption of Kiro, 123RF achieved several measurable improvements:

  • Developer onboarding time reduced from approximately 3–4 weeks to about 1 week
  • Code review turnaround time reduced by approximately 50% through automated pre-review workflows
  • Test coverage across critical services increased from approximately 45% to 75% without requiring dedicated testing sprints
  • Boilerplate development tasks — including API endpoints, database models, and service integrations — reduced from hours to minutes
  • Estimated 20–30% improvement in overall engineering velocity based on sprint delivery metrics
  • Reduction in production incidents attributed to stronger automated testing and quality enforcement processes

Business Transformation and Future Innovation

Kiro fundamentally transformed how 123RF’s engineering teams operate.

By automating repetitive development tasks — including boilerplate generation, debugging assistance, documentation maintenance, and code quality enforcement — developers can focus more on solving business problems and building differentiated capabilities for customers worldwide.

The adoption of spec-driven development improved planning discipline and reduced costly implementation rework. As the engineering organization scales, Kiro continues to act as a force multiplier by maintaining consistency, accelerating onboarding, and reinforcing engineering standards across teams.

123RF is currently expanding Kiro adoption across all engineering squads while exploring deeper integration with CI/CD pipelines through agent hooks and workflow automation. The organization is also leveraging Kiro’s specification workflows for larger architectural initiatives where upfront design alignment delivers the greatest engineering and operational impact.

Customer Testimonial

“Kiro has become an essential part of how our engineering team operates. The spec-driven development approach alone has saved us countless hours of rework by ensuring we think through design decisions before implementation begins. Our developers ship faster, our code quality is more consistent, and new team members become productive much more quickly. It’s like giving every developer access to a senior engineering partner throughout the development lifecycle.”

AWS Partner Involvement

G-AsiaPacific Sdn Bhd worked closely with 123RF to introduce and operationalize Kiro across the engineering organization.

Their engagement included:

  • Conducting hands-on enablement workshops with engineering squads
  • Configuring steering files aligned with 123RF’s coding standards and architectural practices
  • Establishing spec-driven development workflows tailored to the organization’s delivery cadence
  • Supporting automation setup for agent hooks and engineering governance
  • Providing ongoing advisory support and best practices to maximize developer productivity with Kiro

The collaboration helped accelerate adoption while ensuring Kiro was integrated effectively into existing engineering processes and workflows.

Level Up with Us


Looking to venture into the clouds?
Evolve your business with cloud technology today!

Learn More

The post 123RF appeared first on G-AsiaPacific.

]]> Elastic Disaster Recovery https://www.g-asiapac.com/elastic-disaster-recovery/ Mon, 30 Mar 2026 09:10:08 +0000 https://www.g-asiapac.com/?page_id=10788 Elastic Disaster Recovery Your Fast, Reliable Path to Business Continuity Downtime and data loss can have far-reaching consequences beyond IT, impacting revenue, trust, and compliance. Modern organizations need a more reliable and streamlined approach to disaster recovery—one that reduces complexity while strengthening resilience in the cloud. Engage Us Why Elastic Disaster Recovery? Downtime and data […]

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]]>

Elastic Disaster Recovery

Your Fast, Reliable Path to Business Continuity

Downtime and data loss can have far-reaching consequences beyond IT, impacting revenue, trust, and compliance. Modern organizations need a more reliable and streamlined approach to disaster recovery—one that reduces complexity while strengthening resilience in the cloud.

Engage Us

Why Elastic Disaster Recovery?

Downtime and data loss don’t just disrupt IT, they impact revenue, customer trust, and expose organizations to regulatory risk. Yet many businesses still depend on manual recovery procedures, fragmented tooling, or legacy disaster recovery solutions that are expensive to maintain and complex to manage.

 

Our AWS Elastic Disaster Recovery (DRS) Service delivers a streamlined, AWS-native approach to protecting critical workloads. With continuous block-level replication and automated recovery orchestration into AWS, organizations can establish a structured and reliable recovery environment without the operational burden of traditional DR infrastructure.

 

Designed and implemented by AWS-certified architects, and aligned with AWS Well-Architected Framework, our service enables you to recover with greater speed, clarity, and confidence, while maintaining security, compliance, and cost efficiency.

Why Our Disaster Recovery Stands Out

Continuous Block-Level Replication

Source servers replicate securely into AWS with minimal data loss exposure.

Automated Recovery Orchestration

Launch recovery instances in AWS with predefined configurations for faster and structured recovery execution.

Secure by
Design

Encryption with AWS KMS, least-privilege IAM roles, and centralized logging ensure compliance and traceability.

AWS-Native
Integration

Seamlessly integrates with Amazon EC2, Amazon VPC, IAM, CloudWatch, and other AWS services.

Cost-Optimized
Architecture

Lightweight staging areas reduce overhead, with full infrastructure launched only during recovery or testing.

Built for
Compliance

Supports organizations operating under ISO 27001, SOC 2, PCI-DSS, and regional regulatory frameworks.

Our Reference Architecture

Our AWS Elastic Disaster Recovery (DRS) architecture securely replicates production workloads from an on-premises environment into a dedicated Disaster Recovery (DR) region in AWS. AWS Replication Agents installed on source servers continuously replicate block-level data from local disks, transmitting compressed and encrypted data to AWS through a secure Site-to-Site VPN connection.

 

Within the AWS DR region, lightweight replication servers in the staging area subnet receive and store the replicated data on staging EBS volumes. When recovery is initiated, AWS DRS automatically launches recovery instances in the target subnet, attaching the replicated volumes based on predefined recovery configurations.

 

This architecture enables secure connectivity between on-premises infrastructure and AWS while providing a structured environment for workload recovery in the DR region.

Who Benefits the Most

Financial Insitutions

Strengthen disaster recovery readiness while maintaining regulatory and governance alignment.

Healthcare & Public Sector

Protect critical and sensitive systems with secure, encrypted replication into AWS.

Large Enterprises

Ensure recovery of business-critical applications with structured AWS-native orchestration.

Organizations Migrating to AWS

Establish cloud-based disaster recovery protection during or immediately after migration.

Our Proven Engagement Model

Discover and Define

Identify critical workloads, dependencies, and required recovery objectives (RTO/RPO).

Architect and Design

Design the AWS Elastic Disaster Recovery setup with optimized staging, networking, and security.

Implement and Configure

Deploy AWS DRS agents, initiate continuous replication, and configure recovery launch settings.

Validate and Deliver

Execute recovery validation, confirm configuration accuracy, and finalize recovery documentation.

Enable and Transition

Provide documentation, recovery runbooks, and knowledge transfer to operational teams.

Work With G-AsiaPacific

The AWS Value Advantage

With our AWS Elastic Disaster Recovery (DRS), you unlock:

  • Resilience – Continuous replication into AWS to reduce disruption impact.
  • Security – Encrypted replication and controlled access within your AWS environment.
  • Control – Clearly defined recovery configurations and documented procedures.
  • Simplicity – A focused, AWS-native disaster recovery solution.
  • Confidence – A validated recovery environment aligned with AWS best practices.

Build the Cloud Future You Deserve

Disaster recovery is more than a contingency plan, it is a strategic safeguard for your business. With our AWS Elastic Disaster Recovery (DRS) service, you establish a secure, resilient, and AWS-native recovery foundation designed to protect your most critical workloads. Built with structured orchestration, encrypted replication, and clearly defined recovery configurations, your organization gains the confidence to operate knowing that continuity is always within reach. When disruption occurs, recovery is not improvised, it is prepared, structured, and aligned to your business objectives.

Talk to us today to design and implement your bespoke AWS Elastic Disaster Recovery solution!

Engage Us

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]]> G-AsiaPacific Is Home to Three Golden Jacket Holders https://www.g-asiapac.com/home-to-three-aws-golden-jackets/ https://www.g-asiapac.com/home-to-three-aws-golden-jackets/#respond Fri, 27 Feb 2026 03:59:46 +0000 https://www.g-asiapac.com/?p=10723 Deep AWS expertise is rare — and mastery across the entire AWS platform is even rarer. G-AsiaPacific is proud to demonstrate this depth with three AWS Golden Jacket holders across our Sales, Solution Architecture, and Technical Delivery teams, reinforcing the expertise behind our AWS Premier Tier Partner and Managed Services Provider (MSP) capabilities. This reflects […]

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]]> Deep AWS expertise is rare — and mastery across the entire AWS platform is even rarer. G-AsiaPacific is proud to demonstrate this depth with three AWS Golden Jacket holders across our Sales, Solution Architecture, and Technical Delivery teams, reinforcing the expertise behind our AWS Premier Tier Partner and Managed Services Provider (MSP) capabilities.

This reflects our continued investment in advanced AWS skills that enable customers to design, build, and operate secure, scalable, and high-performing cloud environments.

What Is the AWS Golden Jacket?

The AWS Golden Jacket is a rare technical recognition awarded to professionals who have completed all 12 active AWS certifications, spanning foundational, associate, professional, and specialty levels.

It represents full-spectrum AWS mastery across architecture, security, networking, data, DevOps, and emerging services — and is achieved by only a small number of professionals globally.

Why This Level of AWS Mastery Matters

Completing all 12 AWS certifications reflects far more than exam achievement. It demonstrates an end-to-end understanding of the AWS platform, the proven ability to architect secure, resilient, and scalable environments, deep operational expertise across complex and regulated workloads, and a sustained commitment to continuous improvement as AWS evolves.

Having three AWS Golden Jacket holders across Sales, Solution Architecture, and Technical Delivery reinforces the depth and maturity of G-AsiaPacific’s technical capability. This cross-functional representation ensures AWS mastery is embedded throughout the customer journey — from advisory and solution design to implementation and long-term managed services.

What This Means for You

When you work with G-AsiaPacific, you’re backed by rare, full-spectrum AWS expertise at every stage of your cloud journey. Every solution we deliver — from cloud modernisation and migration to optimisation and managed services — is informed by mastery across all 12 AWS certifications.

This depth ensures your AWS environments are:

  • Secure and well-governed
  • Scalable and resilient
  • Designed for long-term operational excellence

Built on Proven AWS Leadership

As Malaysia’s first AWS Premier Tier Partner and an AWS Managed Services Provider, G-AsiaPacific continues to invest in building scalable, sustainable AWS capability across our organisation. The AWS Golden Jacket distinction reflects this commitment — and the strength of expertise embedded across our Sales, Solution Architecture, and Technical Delivery teams.

Start Your AWS Journey with Us

In the cloud, depth matters — and it shows in delivery. With three AWS Golden Jacket holders across our organisation, G-AsiaPacific brings unmatched AWS expertise to help you design, build, and operate AWS environments with confidence and precision.

Experience our AWS Expertise

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]]> https://www.g-asiapac.com/home-to-three-aws-golden-jackets/feed/ 0