---
title: "KrakenD: A High-performance API Gateway for Microservices"
description: KrakenD API gateway for Microservices, with the basics developer tools, features and comparison with Postman vs Nginx vs MuleSoft.
image: https://www.xenonstack.com/hubfs/xenonstack-krakend-for-microservices.png
---

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# Understanding KrakenD API Gateway for Microservices

[Navdeep Singh Gill](https://www.xenonstack.com/insights/author/navdeep-singh-gill) | 06 June 2023

![KrakenD: A High-performance API Gateway for Microservices](https://www.xenonstack.com/hs-fs/hubfs/xenonstack-krakend-for-microservices.png?width=1280&height=720&name=xenonstack-krakend-for-microservices.png)

## Introduction to KrekenD

KrekenD is a very High-performance API gateway. It's Open Source in nature. It provides a very reliable entry point for clients to microservices. [KrakenD](https://www.krakend.io/) helps Create API as an aggregator of multiple microservices into single endpoints. It focuses on doing the heavy work like decode, throttle, auth, transform, aggregate automatically.  
It provides a declarative way to create the endpoints and has the community developed a plug n play middleware.

KrakenD does not require programming language as it has a declarative way to create endpoints. As it is a PURE API gateway, KrakenD avoids coupling the API gateway to the HTTP transport layer.

> The microservices architecture style is an approach for developing small services each running in its process.  Click to explore about, [Microservices Architecture and Design Patterns](https://www.xenonstack.com/insights/microservices)

## What is an API Gateway for Microservices?

The assemblage-oriented programming that resides in front of a particular Application Programming Interface or API, along with being the single point of entry for various microservices and defined Back-end APIs being either internal or external, is referred to as an API gateway. This module(API gateway) acts as a protector, helps ensure high availability, scalability and security.

It takes all the API requests from the client and determines if and which services are required. It then combines these services into a unified and projectively seamless experience for the user. An API gateway helps provide performance, high availability, and elasticity by enabling involved enterprises to instantiate deliveries with defined and uniform supporting services, including traffic management, system integration, and transformation. API Gateway also manages and creates the [WebSocket APIs](https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwjLgPuS9tPzAhVl4jgGHWyhDv4QFnoECCcQAQ&url=https%3A%2F%2Fdocs.aws.amazon.com%2Fapigateway%2Flatest%2Fdeveloperguide%2Fapigateway-websocket-api-overview.html&usg=AOvVaw0uGgJqT9iQJHPXWkB-bWKL) that:

- Adhere to the WebSocket protocol, which allows stateful, full-duplex communication between client and server.
- Route incoming messages based on message content.

API Gateway acts as a "front door" for the applications to access data, business logic, or functionality from your backend services. Likewise, workloads running on Amazon EC2 ([Amazon Elastic Compute Cloud](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts.html)), code running on AWS Lambda, web application, or real-time communication applications.

Looking at the below-provided diagram, we can understand how the API gateway comes into the picture.

> The Rust compiler is one of the most used open-source programming language compiler built to create robust and efficient software.  Click to explore about, [Golang vs Rust - The Race to Better and Ultimate Programming Language](https://www.xenonstack.com/insights/golang-vs-rust)

## Using KrekenD in Command Line

The krakend run command can be used to run the krakend server via the command line. We can begin by invoking the terminal's run command and the path to the configuration file. We may specify the port(8080 as default) also.

`$ krakend run -- config/path/to/krakend.json -p 8080`

Or,

`$ krakend run -- config/path/to/krakend.json`

Or,

`$ krakend run -- c krakend.json`

If no flags are provided, a message is displayed with "Please, provide the path to your config file."

For more options, use the -h or help flag :

The most widely used command for setting up the krakend server is

`$ krakend run -- config krakend.json`

To start the server in a different port, we can set the port in the configuration file or pass its flag as given below.

`$ krakend run -- config krakend.json` -- port 8899

## What are the features of KrakenD?

There are numerous extensive features that KrakenD provides to its user Base. Some of the most significant ones are listed below :

- Aggregation of information from multiple sources into central endpoints.
- Manipulation of responses along with grouping and wrapping.
- Filtering and shrinking of responses, Enabling abstraction.
- Rate limiting connections
- Enables circuits breakers and other security measures
- Provides multiple encoding formats and protocols.
- Supports numerous other middlewares and plugins, like authentication with [Oauth](https://oauth.net/), etc.

1. Management of DSL(digital subscriber line) configurations.
2. Cross-site scripting support.
3. HPKP support(HTTP public key Pinning)
4. Host-based connection restrictions.
5. User quota management.
6. SSL support.
7. OAuth CCG support (Client credential grant)
8. ClickJack protection support.

## Postman vs Nginx vs MuleSoft vs KrekenD

Let us now compare some of the most similar products available in the market that are well established and provide a similar range of features as that by the krakend API gateway service.

| **Feature Tag** | **Postman** | **MuleSoft** | **KrekenD** |
| --- | --- | --- | --- |
| API Design | ✔️ | ✔️ | ✔️ |
| API Lifecycle Management | ✔️ | ✔️ | ✔️ |
| Access Control | ✔️ | ✔️ | ✔️ |
| Analytics | ✔️ | ✔️ | ✔️ |
| Dashboard | ✔️ | ✔️ | ✔️ |
| Developer Portal | ✔️ | ✔️ | ✔️ |
| Testing Management | ✔️ | ✔️ | ✔️ |
| Threat Protection |  | ✔️ | ✔️ |
| Traffic Control |  | ✔️ | ✔️ |
| Version Control | ✔️ |  | ✔️ |

| **Deployment** |  |  |  |  |
| --- | --- | --- | --- | --- |
| **Feature Tag** | **Postman** | **MuleSoft** | **KrekenD** | **Nginx** |
| SaaS/Web/Cloud | ✔️ | ✔️ | ✔️ | ✔️ |
| Mobile - Android | ✔️ | ✔️ |  | ✔️ |
| Mobile - iOS |  | ✔️ |  | ✔️ |
| Mobile - Windows |  |  |  | ✔️ |
| Mobile - BlackBerry |  |  |  |  |
| Installed - Windows | ✔️ |  | ✔️ | ✔️ |
| Installed - Mac | ✔️ |  | ✔️ | ✔️ |

| **Customers** |  |  |  |  |
| --- | --- | --- | --- | --- |
| **Feature Tag** | **Postman** | **MuleSoft** | **KrekenD** | **Nginx** |
| Individuals |  |  |  | ✔️ |
| Freelancers |  | ✔️ | ✔️ |  |
| Large Enterprises | ✔️ | ✔️ |  | ✔️ |
| Medium Business | ✔️ | ✔️ | ✔️ | ✔️ |
| Small Business | ✔️ | ✔️ | ✔️ | ✔️ |
| API service | ✔️ | ✔️ | ✔️ |  |

## What are the basic developer Tools?

KrakenD provides tools for the developer to use in the development stage (not for the production stage). Below are provided some of the widely used and helpful tools available :

1. **Config2dot:** Helps create graphs automatically after reading the krakend.json file.
2. **Hot reload for configuration:** Helps test new changes without having to restart the whole server as we have a docker image using Reflex watching the config directory and automatically reloads krakenD when config changes.
3. **Krakend-memviz**: Provides a DOT file exporter of request/response snapshots to proxy stack for debugging and development purposes. It slows down the performance highly so as not to be used in production.
4. **Krakend-spew**: It provides a dump for every entity seen in the pipe. Every request and response has to pass through the whole stack. Dumps are then saved in files as:

`<pipe>_<base64_endpoint/backend_name>_<timestamp>.txt`

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## How KrakenD will perform on Benchmarking Standards?

The main question that comes to mind regarding krakend is how it will perform on benchmarking standards. As krakend is an additional layer on top of the existing structure, the performance aspect makes it just that more vital. Below are provided some of the general use case-based benchmarks :

- 18,000 req/sec on an ordinary laptop: below are provided a summarization of tests done on a laptop with Amazon EC2 instances.

|  | **Hardware Specs** | **Requests Second** | **Average Response** |
| --- | --- | --- | --- |
| 1 | Amazon EC2 (c4.2xlarge) | 10126.1613 reqs/s | 9.8ms |
| 2 | Amazon EC2 (c4.xlarge) | 8465.4012 reqs/s | 11.7ms |
| 3 | Amazon EC2 (m4.large) | 3634.1247 reqs/s | 27.3ms |
| 4 | Amazon EC2 (t2.medium) | 2781.8611 reqs/s | 351.3ms |
| 5 | Amazon EC2 (t2.micro) | 2757.6407 reqs/s | 35.8ms |
| 6 | MacBook Pro 2.2 GHz Intel Core i7 | 18157.4274 reqs/s | 5.5ms |

- Benchmarking krakend with other products in the Market :

#### Products compared in the Below Results are krakend, Tyk,Vulcand,Kong.

| **Service** | **req/sec** |
| --- | --- |
| none | 7534.6 |
| KrakenD | 3479.2 |
| Vulcand | 1979 |
| Kong | 1753.8 |
| Tyk | 450.2 |

Response time distribution(ms)

| **gateway** | **10%** | **25%** | **50%** | **75%** | **99%** | **min** | **max** | **avg** |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| KrakenD | 21.3 | 23.1 | 24.5 | 29.5 | 77.1 | 0.9 | 278.1 | 28.7 |
| Vulcand | 29.0 | 37.8 | 49.0 | 57.1 | 205.7 | 1.0 | 342.6 | 50.5 |
| Kong | 40.7 | 43.5 | 46.1 | 49.7 | 235.5 | 7.6 | 1597.8 | 56.9 |
| Tyk | 35.5 | 52.1 | 82.3 | 178.5 | 2105.4 | 1.2 | 5648.2 | 221.5 |

## Conclusion

KrekenD API gateway service is a very efficient and productivity-centric tool, designed with mind the performance aspect. It can provide a great upgrade in performance for enterprises or users that switch from almost any of its competitions available in the market. It's an Open Source platform providing a single interface Model. It also allows automated transformation, shrinking, picking, merging, and data based on user-defined parameters. It is not required to know any specific programming language for using KrekenD. The behavior of the software configuration can be edited by using the KrekenD designer or manually.

- Discover more about [Developing and Deploying Spring Boot Microservices](https://www.xenonstack.com/insights/spring-boot-microservices-on-kubernetes)
- [Kotlin vs Java: Which is Better for Android App Development?](https://www.xenonstack.com/blog/kotlin-andriod)

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## Navdeep Singh Gill

Global CEO and Founder of XenonStack

Navdeep Singh Gill is serving as Chief Executive Officer and Product Architect at XenonStack. He holds expertise in building SaaS Platform for Decentralised Big Data management and Governance, AI Marketplace for Operationalising and Scaling. His incredible experience in AI Technologies and Big Data Engineering thrills him to write about different use cases and its approach to solutions.

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[About Us](https://www.xenonstack.com/about-us/) [Leadership Team](https://www.xenonstack.com/about-us/leadership-team/) [TAO of XenonStack](https://www.xenonstack.com/about-us/tao-of-xenonstack/) [How We Grow](https://www.xenonstack.com/about-us/how-we-grow/) [How We Work](https://www.xenonstack.com/about-us/how-we-work/) [Careers](https://www.xenonstack.com/careers/) [XA - QSIR](https://www.xenonstack.com/xenonstack-academy/) [Contact Us](https://www.xenonstack.com/contact-us/) [Book Demo](https://demo.xenonstack.com/)

## Resources

[Blog](https://www.xenonstack.com/blog) [Insights](https://www.xenonstack.com/insights/) [Use Cases](https://www.xenonstack.com/use-cases) [Case Study](https://www.xenonstack.com/case-studies) [Videos](https://www.xenonstack.com/videos/) [EBooks](https://www.xenonstack.com/e-book) [Presentations](https://www.xenonstack.com/presentations/)

@2026 XenonStack - A Stack Innovator!

[Privacy Policy](https://www.xenonstack.com/privacy-policy/) [Terms and Conditions](https://www.xenonstack.com/terms-and-conditions/)

Global Presence :

![india-flag-icon](https://www.xenonstack.com/hubfs/united-states.svg)

USA

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Dubai

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India

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UK

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Australia

✕

## Agent SRE for Reliability and Observability Solutions

 AI continuously monitors systems for risks before they escalate. It correlates signals across logs, metrics, and traces. This ensures faster detection, fewer incidents, and stronger reliability

- ![Performance Icon](https://www.xenonstack.com/hubfs/performance.svg)Proactive detection of performance and availability issues
- ![Root Cause Icon](https://www.xenonstack.com/hubfs/root-cause.svg)Root-cause analysis across microservices and environments
- ![Remediation Icon](https://www.xenonstack.com/hubfs/remediation.svg)Automated remediation playbooks to reduce MTTR

[Explore Agent SRE](https://agentsre.ai/)

![akira-ai-banner-illustration](https://www.xenonstack.com/hubfs/akira-ai-banner-illustration.svg)

✕

## Physical Surveillance with Vision AI Agent Technology

 AI converts camera feeds into instant situational awareness. It detects unusual motion and unsafe behavior in real time. Long hours of video become searchable and summarized instantly

- ![Motion Icon](https://www.xenonstack.com/hubfs/motion.svg)Real-time detection of suspicious motion or intrusion
- ![Video Search Icon](https://www.xenonstack.com/hubfs/video-search.svg)Natural language video search and instant playback
- ![Summary Icon](https://www.xenonstack.com/hubfs/summary.svg)Smart summaries for audits, investigations, and compliance

[See Vision AI in Action](https://www.xenonstack.ai/)

![physical-surveillance](https://www.xenonstack.com/hubfs/xai-banner-image.svg)

✕

## Agentic Data Intelligence Across Your Full Data Stack

 Your data stack becomes intelligent and conversational. Agents surface insights, detect anomalies, and explain trends. Move from dashboards to autonomous, always-on analytics

- ![Connects warehouses](https://www.xenonstack.com/hubfs/data-icon.svg)Connects to warehouses, lakes, and streaming sources
- ![Question Answering](https://www.xenonstack.com/hubfs/answers.svg)Question-answering in natural language
- ![Continuous monitoring](https://www.xenonstack.com/hubfs/monitoring-2.svg)Continuous monitoring for anomalies and KPI deviations

[See in Action](https://elixirdata.co/)

![agentic-data-intelligence](https://www.xenonstack.com/hubfs/empowerment-of-analysts.svg)

✕

## Intelligent Diagnostic for Self-Healing System Automation

 Agents identify recurring failures and performance issues. They trigger workflows that resolve common problems automatically. Your infrastructure evolves into a self-healing environment

- ![Diagnostics Icon](https://www.xenonstack.com/hubfs/diagnostic.svg)Automated diagnostics for recurring errors
- ![Playbook Icon](https://www.xenonstack.com/hubfs/playbook.svg)Playbook execution: restart services, scale pods, clear queues
- ![Feedback Icon](https://www.xenonstack.com/hubfs/feedback.svg)Feedback loop for improving remediation strategies

[See in Action](https://agentanalyst.ai/)

![intelligent-diagnostic](https://www.xenonstack.com/hubfs/dataops-reimagined-banner-image.svg)

✕

## Agentic GRC - Monitoring Risk and Compliance Controls

 AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. Evidence collection becomes automatic and audit-ready

- ![Controls Icon](https://www.xenonstack.com/hubfs/controls.svg)Continuous control checks across infrastructure and SaaS
- ![Audit Icon](https://www.xenonstack.com/hubfs/audit.svg)Automated evidence collection for audits
- ![Risk Icon](https://www.xenonstack.com/hubfs/risk.svg)Risk scoring and prioritized remediation recommendations

[Explore Agent GRC](https://agentgrc.ai/)

![monitoring-risk-and-compliance](https://www.xenonstack.com/hubfs/enhanced-security-measures.svg)

✕

## Agentic Finance and Procurement Intelligent Agents

 Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter

- ![Visibility Icon](https://www.xenonstack.com/hubfs/visibility.svg)Real-time visibility into spend and commitments
- ![Anomaly Icon](https://www.xenonstack.com/hubfs/anomaly.svg)Anomaly detection on invoices and vendor performance
- ![Workflow Icon](https://www.xenonstack.com/hubfs/workflow.svg)Intelligent workflows for approvals and sourcing decisions

[Optimize Finance & Procurement](https://www.xenonify.ai/)

![agentic-finance-and-procurement](https://www.xenonstack.com/hubfs/responsible-ai-aviators-banner-illustration.svg)

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}
```

```json
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  },
  "description" : "XenonStack is the #1 Data and AI foundry and technology services company to simplify and scale Enterprise and Generative AI Journeys.",
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