Question 1

1. What are the key data engineering solutions provided by Stryv.ai?

Accepted Answer

Smart ETL/ELT pipelines, real-time data pipelines, data lakes and warehouses, AI-integrated data integration, analytics-ready data layers are provided by Stryv.ai.

Question 2

2. What are the specific tools Stryv.ai uses to automate ETL/ELT pipelines?

Accepted Answer

Tools like dbt, Azure data factory, Apache Airflow, AWS Glue, and Google Cloud Dataflow are used to automate ETL/ELT pipelines using Stryv.ai.

Question 3

3. What cloud platforms does Stryv.ai use for data lake and warehouse design?

Accepted Answer

For designing data lakes and warehouses Stryv.ai uses Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse, and Databricks, plus supporting SQL/NoSQL databases like PostgreSQL, MongoDB, and Cassandra.

Question 4

4. Which technologies does stryv.ai use to build real-time data streaming solutions?

Accepted Answer

Stryv.ai uses Apache Kafka and event driven architectures for real-time data streaming solutions.

Question 5

5. Why does Stryv.ai use dbt and Apache Airflow?

Accepted Answer

Stryv.ai combines dbt for transformation modeling and Apache Airflow for workflow orchestration, ensuring that analytics layers are built from trusted, version-controlled code.

Question 6

6. How does stryv.ai speed up cloud data modernization on AWS, Azure, and Google Cloud?

Accepted Answer

Migrating legacy systems, optimizing storage and compute, and aligning platforms with cloud-native architectures accelerates cloud data modernization.

Question 7

7. What are the specific services offered by Stryv.ai's Azure Data Factory consulting?

Accepted Answer

Stryv.ai ‘s Azure Data Factory consulting services include designing, implementing, and optimizing serverless data pipelines across the Azure ecosystem. We help connect on-premise and cloud data sources, orchestrate complex workflows, and optimize performance and cost, so your Azure-based data platform is reliable, scalable, and analytics-ready.

Question 8

8. What does “smart data integration” mean at Stryv.ai?

Accepted Answer

At Stryv.ai, “smart data integration” means using a combination of best-in-class open-source tools with AI-assisted mapping and transformation patterns that reduces manual efforts and improves accuracy.

Question 9

9.What steps does Stryv.ai follow to embed data lineage tracking in data pipelines?

Accepted Answer

To embed data lineage tracking, Stryv.ai:Captures metadata about  data sources, transformations, and destinations.Integrates with catalog and governance toolsEnables auditing and traceability across pipelines

Question 10

10.Where in the data pipeline does Stryv.ai automate data quality and anomaly checks?

Accepted Answer

At Stryv.ai, data quality checks are automated by building validation rules directly into your ETL/ELT and streaming pipelines to test completeness, duplicates, and business-rule violations.

Question 11

11. How does Stryv.ai utilize AI-driven data mapping to accelerate data integration?

Accepted Answer

Data integration is accelerated by using machine learning to suggest how fields should map into your target models, reducing manual effort and ensuring consistency.

Question 12

12. Which AWS services are integrated as Stryv.ai uses AWS Glue for ETL jobs?

Accepted Answer

Stryv.ai uses AWS Glue to build serverless ETL jobs and maintain centralized data catalogs across AWS services like S3, Redshift, and Athena.

Question 13

13. How does stryv.ai optimize Snowflake data warehousing?

Accepted Answer

Stryv.ai optimizes Snowflake performance and cost by designing efficient schemas, configuring virtual warehouses, and integrating dbt with orchestration tools for easy maintenance.

Question 14

14. What technologies does Stryv.ai use for low-latency, real-time data processing?

Accepted Answer

Stryv.ai uses Kafka-based processing, Apache Spark, and cloud-native streaming services to enable low- latency, real-time data processing.

Question 15

15. How does Stryv.ai ensure security and error handling in data ingestion pipelines for both batch and streaming?

Accepted Answer

Robust data ingestions pipelines are designed by Stryv.ai to pull data from databases, SaaS tools, APIs, files, and event streams into your data lake or warehouse supporting both batch and streaming use cases for secure and reliable data ingestion.

Question 16

1. What is Cloud Modernization?

Accepted Answer

Transforming the legacy or existing IT systems so they can be able to fully exploit modern cloud platforms and cloud-native technologies such as containers, microservices, serverless, and managed services is defined as Cloud modernization.

Question 17

2. How do you differentiate between Cloud Migration and Cloud Modernization?

Accepted Answer

Cloud migration is about moving existing workloads to a cloud environment with minimal change it’s a fast and low risk move, while cloud modernization is transforming those workloads into a fully use cloud native capabilities for long-term agility, cost optimization, and performance.

Question 18

3. What could be the main approach to Cloud Modernization (6Rs/7Rs)?

Accepted Answer

The main approaches to cloud modernization are captured in widely used 6Rs and 7Rs frameworks. These strategies help evaluate each application's dependency, architecture, and business value to choose the right path. Core 6 Rs FrameworkRehost (Lift & Shift)Replatform (Minor Optimizations)Re-architect/Refactor (Rebuild for Cloud-native Design)Repurchase (Replace Legacy Apps)Retire (Decommission Unused Apps)Retain (Keep as-is)7 Rs ExtensionRelocate (Shift Workloads Between Cloud Environments)

Question 19

4. What do you mean by Cloud-native?

Accepted Answer

Cloud-native refers to an architecture, and the set of practices involves in designing applications to fully leverage cloud capabilities, such as containerization, Kubernetes orchestration, serverless computing, microservices, automated CI/CD pipelines, and managed services.

Question 20

5. What does Cloud Modernization Assessment mean?

Accepted Answer

A thorough review of your existing applications, security setup, infrastructure, data flows, and day-to-day operations to figure out the best modernization approach for updating each part of the cloud is referred to as cloud modernization assessment.

Question 21

6. How long does the cloud modernization take?

Accepted Answer

Cloud modernization timeline is widely based on the size of project and intricacy. Simple workloads can take up to weeks, while medium portfolios typically span 3-6 months, and massive enterprises can stretch up to 6-18+ months. But a phased approach usually delivers measurable value within the first 60-90 days (about 3 months).

Question 22

7. How much does cloud modernization cost?

Accepted Answer

Cloud modernization expenses depend on size of application, compliance needs, refactoring level, and tools. The most reliable approach is to build a Total Cost of Ownership (TCO) model including cloud usage fees, engineering effort, software licenses, and operational savings. Many teams’ kick-off with a pilot to validate ROI.

Question 23

8. Do Cloud modernization reduce costs?

Accepted Answer

Yes, it can when done thoughtfully, enabling autoscaling, adopt managed services, and shutting down unused systems. Simply lift and shift alone may not reduce costs unless you optimize after migration (FinOps practices matter).

Question 24

9. What is a cloud landing zone?

Accepted Answer

A cloud landing zone serves as a pre-configured, secure cloud foundation that standardizes networking, identity management, logging, policies, and protective guardrails.

Question 25

10. What does multi-cloud modernization mean?

Accepted Answer

Multi-cloud modernization means updating and optimizing applications across several platforms, like AWS, Azure, and Google Cloud to boost reliability, compliance, or vendor flexibility.

Question 26

11. What is refactoring in cloud modernization?

Accepted Answer

Refactoring in cloud modernization involves restructuring application code to improve performance, scalability, and maintainability in cloud, without altering core functionality.

Question 27

12. What is cloud modernization strategy?

Accepted Answer

A cloud modernization strategy outlines the target cloud architecture, migration waves, governance rules, operational workflows, security measures, team skilling needs, and success metrics to drive business value.

Question 28

13. What industries benefit from cloud modernization?

Accepted Answer

Industries with heavy reliance on digital customer interactions and data-intensive operations gain the most from cloud modernization, especially healthcare, fintech, manufacturing, retail, and SaaS providers.

Question 29

14. What Key Performance Indicators (KPIs) measures cloud modernization success?

Accepted Answer

KPIs for cloud modernization success tracks operational frequency, lead time for changes, change failure rate, MTTR, availability, performance latency, unit cost per transaction, cloud spend efficiency, security findings resolved, and customer experience metrics.

Question 30

15. What is the most common error that kills cloud modernization ROI?

Accepted Answer

The biggest pitfall in cloud modernization is treating it solely as an infrastructure migration. Without updating applications, operating model updates, and enforcing cost controls, cloud benefits are limited, and risks higher spending.

Question 31

1. What are Full Stack Solutions?

Accepted Answer

Full stack solutions refer to all-in one software services that covers the complete product lifecycle from building to running an app, from the user-facing front end to behind-the-scenes backend, plus databases, cloud setup, APIs, deployment pipelines (DevOps), and ongoing support.

Question 32

2. What does full stack services include?

Accepted Answer

Full stack services deliver everything that needs to be built, deployed, and ;maintain a robust application under one roof.The core components of Full Stack Services include:UI/UX DesignFrontend DevelopmentBackend DevelopmentDatabase Design & OptimizationCloud infrastructure SetupDevOps & AutomationSecurity PracticesTesting & QAMonitoring & ObservabilityMaintenance & Support

Question 33

3. What is the difference between full stack solutions and full stack development?

Accepted Answer

Full stack development focuses on coding skills across frontend and backend. Full stack solutions expand far beyond coding include security, architecture, deployment, DevOps, continuous monitoring and support for delivering a complete product outcome.

Question 34

4. How much does full stack solutions cost?

Accepted Answer

Estimating cost for a Full stack solution is quite difficult; it varies depending on team location, complexity of project, feature set, and timeline. Accurate pricing can be tracked from a brief discovery phase that outlines scope, architecture, and key milestones.

Question 35

5. Why choose full stack solutions instead of separate teams?

Accepted Answer

Full stack solutions streamline projects by uniting all expertise under one accountable team, cutting out the chaos of managing separate backend, frontend, DevOps, or QA groups leads to faster launches, easier scaling, and consistent quality.

Question 36

6. What is full stack architecture?

Accepted Answer

Full stack architecture is the high-level blueprint outlining how user interfaces, databases, backend services, APIs, and supporting infrastructure interconnects and form a scalable, cohesive application.

Question 37

7. Does Cloud and DevOps come under full stack solutions?

Accepted Answer

Ofcourse yes. Modern full stack solutions encompass the entire life cycle of an application integrate cloud setup (networking, identity, environments), DevOps pipelines, Infrastructure as Code, deployments, monitoring, and incident response practices to ensure reliable releases.

Question 38

8. How do full stack teams ensure security?

Accepted Answer

Full stack teams ensure security with robust auth (OAuth/JWT, RBAC), secure API design, end-to-end encryption, vulnerability scanning, vaulted secrets management, thorough code reviews, and secured CI/CD practices. For regulated setups like HIPAA or GDPR, teams also follow compliance audits and detailed activity logging.

Question 39

9. Full stack vs Backend. What is the difference?

Accepted Answer

Full stack includes both frontend UI and backend, also DevOps deployment, testing, and monitoring for complete project delivery. Whereas backend development focuses on server-side logic, databases, and APIs.

Question 40

10. Do full stack solutions work only for the web?

Accepted Answer

No, full stack solutions are for both web and mobile apps. From sharing backend APIs, cloud infrastructure, databases, to ensuring consistent user experience and faster development.

Question 41

11. What does MVP refer to in full stack development?

Accepted Answer

Minimum Viable Product (MVP) is the leanest version of your product that delivers core value to users. Full stack teams build MVPs fast using scalable stacks like Next.js +Sanity on AWS Amplify and let you validate the market before investing.

Question 42

12. What is included in full stack support and maintenance?

Accepted Answer

Full stack maintenance includes bug fixes, dependency updates, security patches, performance improvements, proactive monitoring, uptime support, automated backups, and iterative feature enhancements. Support often runs on monthly retainers or SLA tiers.

Question 43

13. What are the benefits of hiring a full stack solutions partner?

Accepted Answer

Hiring a full stack solutions partner fastens delivery by eliminating handoffs between frontend, backend, and ops teams. They make sure the architecture is consistent, better-quality control, stronger security across the stack, and full accountability from MVP build to scaling.

Question 44

14. How long does a full stack project take?

Accepted Answer

Based on scope the timeline varies:For MVP, usually it takes 6-12 weeksFor Mid-size product, it takes 3-6 monthsFor Large enterprise platform, it can extend from 6-12 monthsMVP &rarr; iterations, a phased approach helps in shipping thevalue faster.

Question 45

15. What is the initial step to start a full stack project?

Accepted Answer

Rather jump directly on development, start with a discovery workshop. Focus on goals, requirements, audience, and success metrics. This helps in deriving a complete project roadmap to produce a scope, timeline, architecture plan, and a realistic estimate before development begins.

Question 46

1. How does Stryv address 'devOps consulting services'?

Accepted Answer

Stryv's approach to devOps consulting services ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed devOps consulting services into our project methodologies to drive practical results and seamless integration.

Question 47

2. How does Stryv address 'CI/CD pipeline automation'?

Accepted Answer

Stryv's approach to CI/CD pipeline automation ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed CI/CD pipeline automation into our project methodologies to drive practical results and seamless integration.

Question 48

3. How does Stryv address 'azure devOps consulting'?

Accepted Answer

Stryv's approach to azure devOps consulting ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed azure devOps consulting into our project methodologies to drive practical results and seamless integration.

Question 49

4. How does Stryv address 'aws devOps solutions'?

Accepted Answer

Stryv's approach to aws devOps solutions ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed aws devOps solutions into our project methodologies to drive practical results and seamless integration.

Question 50

5. How does Stryv address 'kubernetes container orchestration'?

Accepted Answer

Stryv's approach to kubernetes container orchestration ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed kubernetes container orchestration into our project methodologies to drive practical results and seamless integration.

Question 51

6. How does Stryv address 'continuous integration and deployment'?

Accepted Answer

Stryv's approach to continuous integration and deployment ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed continuous integration and deployment into our project methodologies to drive practical results and seamless integration.

Question 52

7. How does Stryv address 'github actions automation'?

Accepted Answer

Stryv's approach to github actions automation ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed github actions automation into our project methodologies to drive practical results and seamless integration.

Question 53

8. How does Stryv address 'infrastructure as code (IaC)'?

Accepted Answer

Stryv's approach to infrastructure as code (IaC) ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed infrastructure as code (IaC) into our project methodologies to drive practical results and seamless integration.

Question 54

9. How does Stryv address 'terraform deployment automation'?

Accepted Answer

Stryv's approach to terraform deployment automation ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed terraform deployment automation into our project methodologies to drive practical results and seamless integration.

Question 55

10. How does Stryv address 'devOps best practices'?

Accepted Answer

Stryv's approach to devOps best practices ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed devOps best practices into our project methodologies to drive practical results and seamless integration.

Question 56

11. How does Stryv address 'cloud operations management'?

Accepted Answer

Stryv's approach to cloud operations management ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed cloud operations management into our project methodologies to drive practical results and seamless integration.

Question 57

12. How does Stryv address 'deployment automation solutions'?

Accepted Answer

Stryv's approach to deployment automation solutions ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed deployment automation solutions into our project methodologies to drive practical results and seamless integration.

Question 58

13. How does Stryv address 'devOps for legacy systems'?

Accepted Answer

Stryv's approach to devOps for legacy systems ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed devOps for legacy systems into our project methodologies to drive practical results and seamless integration.

Question 59

14. How does Stryv address 'agile software delivery'?

Accepted Answer

Stryv's approach to agile software delivery ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed agile software delivery into our project methodologies to drive practical results and seamless integration.

Question 60

15. How does Stryv address 'automated software deployment'?

Accepted Answer

Stryv's approach to automated software deployment ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed automated software deployment into our project methodologies to drive practical results and seamless integration.

Question 61

How does Stryv address 'AI integration services'?

Accepted Answer

Stryv's approach to AI integration services ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed AI integration services into our project methodologies to drive practical results and seamless integration.

Question 62

How does Stryv address 'LLM-based solutions'?

Accepted Answer

Stryv's approach to LLM-based solutions ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed LLM-based solutions into our project methodologies to drive practical results and seamless integration.

Question 63

3. How does Stryv address 'GPT API integration'?

Accepted Answer

Stryv's approach to GPT API integration ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed GPT API integration into our project methodologies to drive practical results and seamless integration.

Question 64

4. How does Stryv address 'chatbot integration services'?

Accepted Answer

Stryv's approach to chatbot integration services ensures that we leverage best practices to deliver robust, efficient, and secure solutions. Whether it's planning, implementation, or optimization, we embed chatbot integration services into our project methodologies to drive practical results and seamless integration.

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