InfoQ Technology Adoption Survey 2025

14 Questions to Help Us Serve You Better: Win 1 of 5 Video Access Passes to QCon London (£435 value)

We have a small favour to ask. The InfoQ team would like to better understand which technologies are currently on your radar. Please help us in our research by completing this three minute survey. Your responses will help us create more topically relevant and useful content for the InfoQ community.

As a token of our appreciation - at the end of the survey - you can enter to win 1 of 5 complimentary video access passes to QCon London 2025 (April 7-9) worth £435.

This survey is anonymous and your replies will be kept confidential.

Regards,

The InfoQ Team

Question Title

* 1. How many employees work at your company?

1-100

101-250

251-500

501-1,000

1,001-2,500

Over 2,500

Question Title

* 2. Which role best describes your professional focus within your organization?

Architect - Involved with the design aspect of software: patterns, architecture evaluation, architecture improvement (refactoring/reengineering), quality attributes (usability, performance, scalability, DSLs, etc.).

Developer - Involved with coding and using the technical features of new frameworks or programming languages.

DevOps/Operations & Infrastructure - Involved in deployment management, monitoring, scaling, and operation of running software systems; choosing hardware and software; evaluating virtualization and cloud deployment technologies.

Process/Management - People concerned with how teams work together for software development vs. technology: engineering culture, techniques like mob programming, event storming, management approaches like Holacracy and Sociocracy, DevEX, Scrum, XP, TDD.

Data Scientist - People who perform statistical analysis, data mining and retrieval processes on a large amount of data to identify trends, figures and other relevant information. Includes applying techniques such as machine learning.

Other (please specify)

Question Title

* 3. What’s your role in the adoption of new technologies / software products within your organization? (Select all that apply)

I decide

I recommend

I influence

I research

I veto

None of the above

Question Title

* 4. What type of AI infrastructure is your organization prioritizing or planning to implement in 2025? (Select all that apply)

Cloud-based AI platforms (e.g., AWS SageMaker, Google Vertex AI, Microsoft Azure ML)

On-premises AI infrastructure (e.g., NVIDIA DGX, private data centers)

Hybrid AI infrastructure (combining cloud and on-premises solutions)

Edge AI devices and platforms (e.g., IoT-enabled AI, TensorFlow Lite)

AI model hosting and serving platforms (e.g., Model-as-a-Service solutions)

AI development environments (e.g., Jupyter Notebooks, VS Code with AI plugins)

Other (please specify)

None of the above

Question Title

* 5. Is your organization currently using or planning to use any of the following Cloud-Native technologies / architectural approaches?

	Currently using	Plan to use in next 12 months	Plan to use in > 12 months	Not planning to use
Microservices Architecture	Microservices Architecture Currently using	Microservices Architecture Plan to use in next 12 months	Microservices Architecture Plan to use in > 12 months	Microservices Architecture Not planning to use
Containerization (e.g., Docker, Podman)	Containerization (e.g., Docker, Podman) Currently using	Containerization (e.g., Docker, Podman) Plan to use in next 12 months	Containerization (e.g., Docker, Podman) Plan to use in > 12 months	Containerization (e.g., Docker, Podman) Not planning to use
Kubernetes	Kubernetes Currently using	Kubernetes Plan to use in next 12 months	Kubernetes Plan to use in > 12 months	Kubernetes Not planning to use
Service Mesh (e.g., Istio, Linkerd)	Service Mesh (e.g., Istio, Linkerd) Currently using	Service Mesh (e.g., Istio, Linkerd) Plan to use in next 12 months	Service Mesh (e.g., Istio, Linkerd) Plan to use in > 12 months	Service Mesh (e.g., Istio, Linkerd) Not planning to use
Serverless Computing (e.g., AWS Lambda, Azure Functions)	Serverless Computing (e.g., AWS Lambda, Azure Functions) Currently using	Serverless Computing (e.g., AWS Lambda, Azure Functions) Plan to use in next 12 months	Serverless Computing (e.g., AWS Lambda, Azure Functions) Plan to use in > 12 months	Serverless Computing (e.g., AWS Lambda, Azure Functions) Not planning to use
Event-Driven Architectures (e.g., Kafka, RabbitMQ)	Event-Driven Architectures (e.g., Kafka, RabbitMQ) Currently using	Event-Driven Architectures (e.g., Kafka, RabbitMQ) Plan to use in next 12 months	Event-Driven Architectures (e.g., Kafka, RabbitMQ) Plan to use in > 12 months	Event-Driven Architectures (e.g., Kafka, RabbitMQ) Not planning to use
Cloud-Native Continuous Delivery/Deployment Tools (e.g., ArgoCD, Flux)	Cloud-Native Continuous Delivery/Deployment Tools (e.g., ArgoCD, Flux) Currently using	Cloud-Native Continuous Delivery/Deployment Tools (e.g., ArgoCD, Flux) Plan to use in next 12 months	Cloud-Native Continuous Delivery/Deployment Tools (e.g., ArgoCD, Flux) Plan to use in > 12 months	Cloud-Native Continuous Delivery/Deployment Tools (e.g., ArgoCD, Flux) Not planning to use
Cloud-Native Database (e.g. Amazon Aurora, Google Spanner)	Cloud-Native Database (e.g. Amazon Aurora, Google Spanner) Currently using	Cloud-Native Database (e.g. Amazon Aurora, Google Spanner) Plan to use in next 12 months	Cloud-Native Database (e.g. Amazon Aurora, Google Spanner) Plan to use in > 12 months	Cloud-Native Database (e.g. Amazon Aurora, Google Spanner) Not planning to use
Infrastructure as Code (IaC) Tools (e.g., Terraform, Pulumi)	Infrastructure as Code (IaC) Tools (e.g., Terraform, Pulumi) Currently using	Infrastructure as Code (IaC) Tools (e.g., Terraform, Pulumi) Plan to use in next 12 months	Infrastructure as Code (IaC) Tools (e.g., Terraform, Pulumi) Plan to use in > 12 months	Infrastructure as Code (IaC) Tools (e.g., Terraform, Pulumi) Not planning to use

Question Title

* 6. Is your organization currently using or planning to use any of the following database / data engineering technologies?

	Currently using	Plan to use in next 12 months	Plan to use in > 12 months	Not planning to use
Cloud-Native Databases (e.g., Amazon Aurora, Google Spanner)	Cloud-Native Databases (e.g., Amazon Aurora, Google Spanner) Currently using	Cloud-Native Databases (e.g., Amazon Aurora, Google Spanner) Plan to use in next 12 months	Cloud-Native Databases (e.g., Amazon Aurora, Google Spanner) Plan to use in > 12 months	Cloud-Native Databases (e.g., Amazon Aurora, Google Spanner) Not planning to use
NoSQL Databases (e.g., MongoDB, Cassandra, DynamoDB)	NoSQL Databases (e.g., MongoDB, Cassandra, DynamoDB) Currently using	NoSQL Databases (e.g., MongoDB, Cassandra, DynamoDB) Plan to use in next 12 months	NoSQL Databases (e.g., MongoDB, Cassandra, DynamoDB) Plan to use in > 12 months	NoSQL Databases (e.g., MongoDB, Cassandra, DynamoDB) Not planning to use
Document-Oriented Databases (e.g., Couchbase, RavenDB)	Document-Oriented Databases (e.g., Couchbase, RavenDB) Currently using	Document-Oriented Databases (e.g., Couchbase, RavenDB) Plan to use in next 12 months	Document-Oriented Databases (e.g., Couchbase, RavenDB) Plan to use in > 12 months	Document-Oriented Databases (e.g., Couchbase, RavenDB) Not planning to use
Key-Value Stores (e.g., Redis, Amazon DynamoDB)	Key-Value Stores (e.g., Redis, Amazon DynamoDB) Currently using	Key-Value Stores (e.g., Redis, Amazon DynamoDB) Plan to use in next 12 months	Key-Value Stores (e.g., Redis, Amazon DynamoDB) Plan to use in > 12 months	Key-Value Stores (e.g., Redis, Amazon DynamoDB) Not planning to use
Streaming Data Platforms (e.g., Apache Kafka)	Streaming Data Platforms (e.g., Apache Kafka) Currently using	Streaming Data Platforms (e.g., Apache Kafka) Plan to use in next 12 months	Streaming Data Platforms (e.g., Apache Kafka) Plan to use in > 12 months	Streaming Data Platforms (e.g., Apache Kafka) Not planning to use
Graph Databases (e.g., Neo4j, Amazon Neptune)	Graph Databases (e.g., Neo4j, Amazon Neptune) Currently using	Graph Databases (e.g., Neo4j, Amazon Neptune) Plan to use in next 12 months	Graph Databases (e.g., Neo4j, Amazon Neptune) Plan to use in > 12 months	Graph Databases (e.g., Neo4j, Amazon Neptune) Not planning to use
Vector Databases (e.g Pinecone, Weaviate)	Vector Databases (e.g Pinecone, Weaviate) Currently using	Vector Databases (e.g Pinecone, Weaviate) Plan to use in next 12 months	Vector Databases (e.g Pinecone, Weaviate) Plan to use in > 12 months	Vector Databases (e.g Pinecone, Weaviate) Not planning to use
Data Analytics Platforms (e.g., Databricks, Apache Spark, Tableau)	Data Analytics Platforms (e.g., Databricks, Apache Spark, Tableau) Currently using	Data Analytics Platforms (e.g., Databricks, Apache Spark, Tableau) Plan to use in next 12 months	Data Analytics Platforms (e.g., Databricks, Apache Spark, Tableau) Plan to use in > 12 months	Data Analytics Platforms (e.g., Databricks, Apache Spark, Tableau) Not planning to use

Question Title

* 7. What are the most significant challenges your organization faces in managing its databases or data engineering efforts? (Select all that apply)

Scaling databases to handle increasing data volume and user traffic

Ensuring data consistency and accuracy across distributed systems

Optimizing query performance and reducing latency

Managing costs for storage and database infrastructure

Integrating and maintaining data pipelines across diverse systems

Ensuring robust data security and preventing breaches

Adopting and scaling new technologies like AI/ML for data processing

Other (please specify)

None of the above

Question Title

* 8. What are the biggest challenges your organization faces in delivering high-quality software? (Select all that apply)

Managing technical debt while innovating on new features

Adopting and scaling DevOps practices across teams

Achieving consistent deployment frequency and reliability

Managing cloud infrastructure costs and complexity

Scaling and optimizing software to handle increased user demand

Ensuring effective testing and minimizing bugs in production

Keeping up with rapidly evolving tools, frameworks, and technologies

Difficulty in integrating legacy systems with modern technologies

Other (please specify)

None of the above

Question Title

* 9. What are the biggest challenges your organization faces in adopting and using AI/ML? (Select all that apply)

Lack of skilled AI/ML professionals and expertise

Difficulty in obtaining and preparing high-quality training data

High costs associated with AI/ML infrastructure and tools

Integrating AI/ML models into existing systems and workflows

Addressing ethical concerns and bias in AI/ML models

Measuring and demonstrating ROI for AI/ML initiatives

Keeping up with rapidly evolving AI/ML technologies and frameworks

Managing model performance and accuracy in production environments

Other (please specify)

None of the above

Question Title

* 10. What are the biggest challenges your organization faces in software architecture and design? (Select all that apply)

Balancing simplicity with scalability in system design

Managing dependencies and reducing coupling in complex systems

Ensuring high availability and reliability

Transitioning from monolithic systems to microservices or other modern architectures

Maintaining flexibility for future changes and technology adoption

Aligning architecture decisions with business goals and timelines

Designing systems to handle multi-cloud or hybrid cloud environments

Integrating legacy systems with modern architectures

Other (please specify)

None of the above

Question Title

* 11. Is your organization currently using platform engineering practices and/or tools?

Currently using

Planning to use

Not planning to use

Question Title

* 12. In what areas are you facing the biggest technical challenges? What are your top 3 challenges?

First challenge

Second challenge

Third challenge

Question Title

* 13. What other publications or resources do you use when researching new technologies and products?

DevOps.com

DZone

GenAI Chatbots (e.g. ChatGPT, Copilot, etc.)

Hacker News

LeadDev

Podcasts

Slashdot

Social Media (X.com, Bluesky, etc.)

Substack newsletters

TechTarget

The New Stack

TLDR

YouTube

Other (please specify)

Question Title

* 14. What are your primary methods for consuming information on software engineering and architecture? (Select all that apply)

Watching technical videos on platforms like YouTube or Vimeo

Engaging in online communities or discussion forums

Email newsletters

Attending webinars, conferences, or live events

Regularly visiting technical websites and publications

Following industry leaders and experts on social media

RSS feeds or content aggregators

Listening to podcasts on software engineering topics

Other (please specify)

Question Title

* 15. For the chance to win 1 of 5 complimentary video access passes to QCon London 2025 (worth £435), please provide your email address. We will only use the email address you provided to contact you if you are one of the lucky winners.