Research coverage

Our research covers a broad swathe of platform ecosystems, from developer tools to software infrastructure and onwards to data science and AI. By nature of focusing on platforms, it optimizes for breadth and brings you hard-to-learn insights from other market sectors that you don’t have the time or expertise to track.

Here are some where we’re putting particular focus:

Artificial Intelligence (AI): ChatGPT, Midjourney, Stable Diffusion, DALL-E 2, the OpenAI API, and more — with a focus on platform enablement, not consumer usage

Platform Engineering, DevOps & SRE: Internal developer portals such as Backstage, internal toolkits such as Retool and Appsmith, SLO/SLI monitoring & alerting, modern incident management, and more

Cloud: The behemoths (AWS, Google, Microsoft), the niche players such as DigitalOcean, as well as emerging disruptors such as Fly.io, Railway, Render.

Containers: Docker, Kubernetes and the Cloud Native Computing Foundation (CNCF) ecosystem, and more. From dominant players like IBM / Red Hat and VMware to brand-new startups just emerging from stealth.

Data & Analytics: Developer-friendly databases such as MongoDB, open-source incumbents such as PostgreSQL and MySQL, third-party providers like Aiven and Instaclustr, emerging approaches such as GraphQL, streaming options such as Kafka, message brokers like RabbitMQ, and more

Developer Frameworks & Tools: Collaboration tooling like Jira, source-code and issue tracking like GitHub and GitLab, environments as a service like Codespaces, Gitpod, env0, and more

In addition, we cover markets such as:

  • Microservices and Serverless Computing: Understanding the role of microservices and serverless computing in modern platform architectures and their impact on scalability and flexibility.
  • Edge Computing: Examining the growing importance of edge computing and its influence on platform design, particularly for IoT and real-time applications.
  • API Management and Integration: Evaluating best practices for API design, management, and integration in technology platforms.
  • Low-code/No-code Platforms: Assessing the impact of low-code and no-code solutions on platform development and the potential to accelerate innovation.
  • Blockchain and Distributed Ledger Technologies: Understanding the potential of blockchain and distributed ledger technologies in platform development and their applications in various industries.
  • DevOps and Continuous Delivery in Platform Engineering: Exploring the role of DevOps practices and continuous delivery in platform development and management.
  • Multi-cloud and Hybrid IT Strategies: Investigating the implications of multi-cloud and hybrid IT environments on platform architecture and management.
  • Mobile and Cross-platform Development: Examining strategies for building mobile and cross-platform solutions using modern technology platforms.
  • Internet of Things (IoT) Platforms: Investigating the growing importance of IoT platforms and their role in connecting devices, managing data, and enabling real-time analytics.
  • Quantum Computing Platforms: Exploring the potential of quantum computing platforms and their implications for technology platform development.
  • 5G and Networking Platforms: Investigating the role of 5G and advanced networking technologies in platform design and development.
  • Big Data Platforms and Frameworks: Analyzing the latest developments in big data platforms and their implications for data-intensive applications.
  • Content Management and Delivery Platforms: Assessing the evolution of content management systems (CMS) and content delivery networks (CDN) in modern platform architectures.
  • E-commerce Platforms and Marketplaces: Exploring the growth of e-commerce platforms and strategies for enhancing user experience, security, and performance.
  • Identity and Access Management (IAM) Platforms: Examining best practices for implementing IAM solutions in technology platforms to ensure security and regulatory compliance.
  • Robotic Process Automation (RPA) Platforms: Investigating the impact of RPA platforms on business process automation and digital transformation initiatives.
  • Streaming and Real-time Data Processing Platforms: Assessing the role of streaming and real-time data processing technologies in modern platform architectures.
  • Gaming Platforms and Infrastructure: Exploring the growing importance of gaming platforms and their impact on the entertainment industry.
  • Platform Integration and Middleware Solutions: Analyzing trends and best practices in platform integration and middleware technologies.
  • Function-as-a-Service (FaaS) and Event-Driven Architectures: Investigating the implications of FaaS and event-driven architectures on platform design and development.
  • Server Hardware and Infrastructure for Platforms: Evaluating the role of server hardware, storage, and networking solutions in supporting modern technology platforms.
  • Platform Analytics and Monitoring: Investigating best practices for monitoring platform performance, usage, and user behavior.
  • NoSQL Databases and Data Stores: Analyzing the role of NoSQL databases and alternative data stores in modern platform architectures.
  • Geospatial Platforms and Location-based Services: Exploring the growing importance of geospatial platforms and their impact on various industries.
  • Customer Data Platforms (CDP) and Data Integration: Assessing the importance of customer data platforms for unifying and managing customer data across systems.
  • Code and Repository Management Platforms: Exploring the growing importance of code and repository management platforms in supporting collaborative software development.

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