Systems | Development | Analytics | API | Testing

APIs Over IPAs 18: Platform Engineering and Reducing Operational Overhead with Nuwan Dias, WSO2

In this episode, Nuwan Dias, Vice President and Deputy CTO at WSO2, joins to explore what effective API lifecycle management really looks like. Drawing on his deep experience building API platforms, Nuwan outlines the key pillars of successful API programs—from strategy and governance to security, testing, and deployment. He shares how organizations can operationalize API-first thinking at scale, and the role of dedicated API teams in enabling this shift.

Top 10 DevOps Consulting Companies in 2025

In 2025, over 80% of enterprises have adopted DevOps practices to speed up software delivery, improve system reliability, and enhance cloud-native transformation. With AI-driven automation, cloud-native applications, and the need for rapid deployment cycles, enterprises are investing more than ever in DevOps consulting services. Choosing the right DevOps implementation partner can make the difference between a stalled transformation and a high-velocity delivery pipeline.

4 Tips for Developing Model Context Protocol Server

The Model Context Protocol (MCP) is rapidly becoming the connective tissue for agentic AI systems and IDE tooling. Whether you’re building a dev tool that integrates with LLMs or enabling a context-aware API backend, standing up an MCP server is a rite of passage. But MCP is still in its early days and there are some sharp edges. Here are four practical shortcuts to fast-track your MCP server development so you can skip the boilerplate and get to the good stuff: intelligent tooling.
Sponsored Post

Modernize Test Data Management with Traffic Replay

In software testing or platform engineering, having realistic data is crucial. For years, teams have relied on Test Data Management (TDM) to copy entire production databases, scrub any sensitive information, and then spin up test environments from these sanitized data sets. While TDM gets the job done, it can be costly, time-consuming, and can quickly become outdated. The issue of outdated data becomes more pronounced as deployment velocity increases and back end dependencies become more diverse (think: microservices).

Is No PaaS really a good idea for Rails?

Rails 8 shipped with a bold premise: “No PaaS Required.” As cloud platforms have grown more costly, Ruby on Rails has shifted to reducing external infrastructure dependencies so that developers can deploy and run applications with fewer ever service dependencies. Traditionally, deploying a Rails app to the internet has meant provisioning a database server (e.g., PostgreSQL) and additional services like Redis for caching, background jobs, or WebSockets.

From Complexity to Control: Overcoming DevOps and IT Leaders' Biggest AI Infrastructure Software Challenges

Artificial Intelligence is transforming the world, but for those managing AI infrastructure, it can feel like they’re being consumed by complexity. AI solutions often promise automation, efficiency, and intelligent decision-making, but behind the curtain, DevOps teams and IT professionals are wrestling with an ever-growing, complex web of software challenges.

Using Proxymock with AWS Services

Amazon Web Services, or AWS, offers a variety of cloud services ranging from AWS resources such as CDNs and data lakes to cloud computing and transformation services such as compute resources, virtual servers, and dynamic availability zones. For this reason, AWS cloud is one of the most broadly adopted cloud solutions, offering a global network of solutions at generally lower costs compared to on-premises solutions.

Ultimate Guide: Skyrocket Your CI/CD With LoadFocus's Ingenious Azure DevOps Integration

Are you struggling with slow deployment cycles and unpredictable performance issues? Discover how integrating LoadFocus API with Azure DevOps can revolutionize your testing approach and deliver lightning-fast, reliable applications.