Systems | Development | Analytics | API | Testing

Are Microservices Dying?

May 25, 2026 By Kong In Kong
LLMs are absorbing the business logic of microservices for agentic use cases — but both patterns will coexist in enterprise infrastructure for a long time. Cloud-native infrastructure (microservices + APIs) keeps powering web and mobile experiences. The agentic layer — LLMs, MCP tool calls, and context traffic — runs in parallel, activating the same APIs and CRUD operations underneath. Kong manages both swim lanes: the API traffic between clients and microservices, and the context traffic flowing between agents and LLMs.#Shorts.
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dreamfactory

REST APIs vs Microservices: Key Differences | DreamFactory

May 19, 2026 By Susanna Bouse In DreamFactory
RESTful APIs and microservices solve different problems — REST is a style of API design, microservices is a pattern for structuring an application — but they work together so often that they're frequently confused. Most production microservices architectures use REST as the default communication mechanism between services, while plenty of monolithic applications also expose RESTful APIs to external clients.
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zymr

The Role of Microservices in Digital Banking Transformation: Architecture, Migration & Implementation Guide (2026)

May 8, 2026 By Jay Kumbhani In Zymr
A customer opens a banking app at 9:02 AM to check a failed payment. The balance looks wrong. Support says, “It’s a system delay.” The transaction finally reflects several hours later. That’s not a UX problem. It’s an architecture problem. Traditional banks still run on tightly coupled, monolithic systems designed for batch processing, not real-time expectations. But customers today compare banking experiences to Google Pay or Apple Pay, not legacy core systems.
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loadfocus

How to Set Up Automated Load Testing for Microservices Using LoadFocus (2026 Guide)

Apr 21, 2026 By LoadFocus In LoadFocus
Traditional load testing methods fall short when applied to the complexity and pace of microservices. Attempting to test dozens or even hundreds of independent services with manual scripts or ad-hoc plans quickly becomes unmanageable. Each service may use a different language, run in its own container, and scale independently, making it easy to overlook critical bottlenecks.
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kong

5 Best Practices for Securing Microservices at Scale

Apr 2, 2026 By Kong In Kong
The microservices revolution promised agility and scalability. Teams could deploy faster, scale independently, and innovate without monolithic constraints. You gain speed and flexibility, but you also multiply trust boundaries, identities, network paths, and policy decisions. Then came AI, and everything changed. In 2025, the security reality for AI-integrated microservices is stark.
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kong

From Microservices to AI Traffic: Kong's Unified Control Plane When Architecture Gets Complicated

Mar 30, 2026 By Kong In Kong
Modern enterprise architecture faces a three-body problem. Three distinct traffic patterns pull your teams in different directions. External APIs serve mobile apps and partner integrations. Internal microservices communicate within Kubernetes clusters. AI and LLM calls flow to OpenAI, AWS Bedrock, and self-hosted models. Each pattern looks API-like on the surface. Yet many organizations handle them with separate tools. The result?
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speedscale

Debugging Encrypted Microservice Traffic with Speedscale's eBPF Collector

Mar 3, 2026 By Matthew LeRay In Speedscale
Production bugs that only reproduce in actual traffic can be some of the most frustrating bugs in software development. You can stare at your logs, add traces to your code, add instrumentation – and still not be able to see the actual requests that went over the wire. And that gets even harder when the requests are encrypted and the system is a black box. You can use tools like Wireshark or Kubeshark to capture the requests.
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confluent

How to Break Off Your First Microservice

Feb 24, 2026 By Bijoy Choudhury In Confluent
The road from monolithic architecture to cloud-native, microservices application is rarely a straightforward engineering exercise. There's often a significant gap between understanding the theoretical benefits of microservices and successfully extracting each service from a mature, long-running codebase. Many teams exploring microservices migration struggle most with the first extraction. How do you make that initial step concrete, low-risk, and reversible?
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dreamfactory

Top Microservices Examples & Guides - DreamFactory

Jan 23, 2026 By Terence Bennett In DreamFactory
DreamFactory is a secure, self-hosted enterprise data access platform that provides governed API access to any data source, connecting enterprise applications and on-prem LLMs with role-based access and identity passthrough. During the last 10 years, microservices-based applications have benefited global enterprises by providing them with massive scalability, greater agility, more highly available systems, and improved operational efficiency.
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