Kong is a cloud-native, fast, scalable, and distributed Microservice Abstraction Layer (also known as an API Gateway, API Middleware or in some cases Service Mesh). Backed by the battle-tested NGINX with a focus on high performance, Kong was made available as an open-source platform in 2015. Under active development, Kong is used in production at thousands of organizations from startups, Global 5000 and Government organizations.
 
If you are building for web, mobile or IoT (Internet of Things) you will likely end up needing common functionality to run your actual software. Kong can help by acting as a gateway (or a sidecar) for microservices requests while providing load balancing, logging, authentication, rate-limiting and more through plugins.
 
Its features include: 
<ul>
<li>Cloud-Native: Platform agnostic, Kong can run from bare metal to
Kubernetes.</li>
<li>Dynamic Load Balancing: Load balance traffic across multiple backend
services.</li>
<li>Service Discovery: Resolve SRV records in third-party DNS resolvers like
Consul.</li>
<li>Serverless: Invoke and secure AWS Lambda or OpenWhisk fuctions directly
from Kong.</li>
<li>WebSockets: Communicate to your upstream services via WebSockets.</li>
<li>OAuth2.0: Easily add OAuth2.0 authentication to your APIs.</li>
<li>Logging: Log requests and responses to your system over HTTP, TCP, UDP,
or to disk.</li>
<li>Security: ACL, Bot detection, whitelist/blacklist IPs, etc...</li>
<li>Syslog: Logging to System log.</li>
<li>SSL: Setup a Specific SSL Certificate for an underlying service or API.</li>
<li>Monitoring: Live monitoring provides key load and performance server
metrics.</li>
<li>Authentications: HMAC, JWT, Basic, and more.</li>
<li>Rate-limiting: Block and throttle requests based on many variables.</li>
<li>Transformations: Add, remove, or manipulate HTTP requests and responses.</li>
<li>Caching: Cache and serve responses at the proxy layer.</li>
<li>CLI: Control your Kong cluster from the command line.</li>
<li>REST API: Kong can be operated with its RESTful API for maximum
flexibility.</li>
<li>Geo-Replicated: Configs are always up-to-date across different regions.</li>
<li>Failure Detection &amp; Recovery: Kong is unaffected if one of your Cassandra
nodes goes down.</li>
<li>Clustering: All Kong nodes auto-join the cluster keeping their config
updated across nodes.</li>
<li>Scalability: Distributed by nature, Kong scales horizontally by simply
adding nodes.</li>
<li>Performance: Kong handles load with ease by scaling and using NGINX at
the core.</li>
<li>Plugins: Extendable architecture for adding functionality to Kong and
APIs.</li>
</ul>

Kong is a cloud-native, fast, scalable, and distributed Microservice Abstraction Layer (also known as an API Gateway, API Middleware or in some cases Service Mesh). Backed by the battle-tested NGINX with a focus on high performance, Kong was made available as an open-source platform in 2015. Under active development, Kong is used in production at thousands of organizations from startups, Global 5000 and Government organizations.

Kong - The Microservice API Gateway 

An application metrics facade for the most popular monitoring tools. Instrument your code with dimensional metrics with a vendor neutral interface and decide on the monitoring backend at the last minute. Micrometer is the instrumentation library underpinning Spring Boot 2.0's metrics collection.
 
As an instrumentation facade, Micrometer allows you to instrument your code with dimensional metrics with a vendor-neutral interface and decide on the monitoring system as a last step. Instrumenting your core library code with Micrometer allows the libraries to be included in applications that ship metrics to different backends. It supports out-of-the-box instrumentation of caches, the class loader, garbage collection, processor utilization, thread pools, and more tailored to actionable insight.

 An application metrics facade for the most popular monitoring tools. Instrument your code with dimensional metrics with a vendor neutral interface and decide on the monitoring backend at the last minute. Micrometer is the instrumentation library underpinning Spring Boot 2.0's metrics collection.

Micrometer - An application metrics facade for the most popular monitoring tools

Litmus is a toolset to do cloud-native chaos engineering. Litmus provides tools to orchestrate chaos on Kubernetes to help SREs find weaknesses in their deployments. SREs use Litmus to run chaos experiments initially in the staging environment and eventually in production to find bugs, vulnerabilities. Fixing the weaknesses leads to increased resilience of the system.
 
Chaos experiments are hosted on hub.litmuschaos.io. It is a central hub where the application developers or vendors share their chaos experiments so that their users can use them to increase the resilience of the applications in production.

Litmus is a toolset to do cloud-native chaos engineering. Litmus provides tools to orchestrate chaos on Kubernetes to help SREs find weaknesses in their deployments. SREs use Litmus to run chaos experiments initially in the staging environment and eventually in production to find bugs, vulnerabilities. Fixing the weaknesses leads to increased resilience of the system.

Litmus - Cloud-Native Chaos Engineering

Apache APISIX is a dynamic, real-time, high-performance API gateway. APISIX provides rich traffic management features such as load balancing, dynamic upstream, canary release, circuit breaking, authentication, observability, and more. You can use Apache APISIX to handle traditional north-south traffic, as well as east-west traffic between services. It can also be used as a k8s ingress controller.
 
You can use Apache APISIX as a traffic entrance to process all business data, including dynamic routing, dynamic upstream, dynamic certificates, A/B testing, canary release, blue-green deployment, limit rate, defense against malicious attacks, metrics, monitoring alarms, service observability, service governance, etc.

Apache APISIX is a dynamic, real-time, high-performance API gateway. APISIX provides rich traffic management features such as load balancing, dynamic upstream, canary release, circuit breaking, authentication, observability, and more. You can use Apache APISIX to handle traditional north-south traffic, as well as east-west traffic between services. It can also be used as a k8s ingress controller.

Apache APISIX - Dynamic, real-time, high-performance API gateway

Kubernetes has made it very easy to deploy applications to the cloud at a higher scale than ever, but the development practices have not evolved at the same speed as application deployment patterns. Today, most developers try to either run parts of the infrastructure locally, or just test these integrations directly in the cluster via CI jobs or the "docker build, docker push, kubectl apply" cycle. It works, but this workflow is painful and incredibly slow.

Okteto - A Tool for Cloud Native Developers

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Kong - The Microservice API Gateway

Micrometer - An application metrics facade for the most popular monitoring tools

Litmus - Cloud-Native Chaos Engineering

Apache APISIX - Dynamic, real-time, high-performance API gateway

Okteto - A Tool for Cloud Native Developers

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Kong - The Microservice API Gateway

Micrometer - An application metrics facade for the most popular monitoring tools

Litmus - Cloud-Native Chaos Engineering

Apache APISIX - Dynamic, real-time, high-performance API gateway

Okteto - A Tool for Cloud Native Developers

TechStack

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