Deepfence ThreatMapper helps you to monitor and secure your running applications, in Cloud, Kubernetes, Docker, and Fargate Serverless. ThreatMapper scans your platforms and identifies pods, containers, applications, and infrastructure. Use ThreatMapper to discover the topology of your applications and attack surface. It obtains manifests of dependencies from running pods and containers, serverless apps, applications, and operating system. ThreatMapper matches these against vulnerability feeds to identify vulnerable components.
 
ThreatMapper discovers, annotates and displays the topology of your applications across multiple cloud environments. It ranks discovered vulnerabilities against CVSS and other severity scores, exploit method and proximity to attack surface, in order to identify which issues pose the greatest risk of exploit.

Deepfence ThreatMapper helps you to monitor and secure your running applications, in Cloud, Kubernetes, Docker, and Fargate Serverless. ThreatMapper scans your platforms and identifies pods, containers, applications, and infrastructure. Use ThreatMapper to discover the topology of your applications and attack surface. It obtains manifests of dependencies from running pods and containers, serverless apps, applications, and operating system. ThreatMapper matches these against vulnerability feeds to identify vulnerable components.

DeepFence - Identify vulnerabilities in running containers, images, hosts and repositories

Meshery is the multi-service mesh management plane offering lifecycle, configuration, and performance management of service meshes and their workloads. Meshery manages the provisioning, configuration and operation your service mesh. While supporting different types of service meshes, Meshery also offers a simple way to explore each service mesh and compare them using bundled sample applications.
 
Interoperate multiple service meshes with service mesh adapters provision, configure, and manage their respective service meshes. Meshery is an implementation of the Service Mesh Interface (SMI). Assess your service mesh configuration against deployment and operational best practices with Meshery's configuration validator. Onboard your workload onto the service mesh with confidence. Check your service mesh configuration for anti-patterns and avoid common pitfalls.
 
Meshery is the service-mesh-neutral utility for uniformly managing the performance of services and the meshes that run them. As an implementation of the Service Mesh Performance (SMP), Meshery enables you to measure the value provided by a service mesh in the context of the overhead incurred.

Meshery is the multi-service mesh management plane offering lifecycle, configuration, and performance management of service meshes and their workloads. Meshery manages the provisioning, configuration and operation your service mesh. While supporting different types of service meshes, Meshery also offers a simple way to explore each service mesh and compare them using bundled sample applications.



Meshery - The service mesh management plane

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

runc is a CLI tool for spawning and running containers according to the OCI specification.

runc - CLI tool for spawning and running containers according to the OCI specification

Meshery is the multi-service mesh management plane offering lifecycle, configuration and performance management of service meshes and their workloads. Meshery manages the provisioning, configuration and operation your service mesh. While supporting different types of service meshes, Meshery also offers a simple way to explore each service mesh and compare them using bundled sample applications. Interoperate multiple service meshes with service mesh adapters provision, configure, and manage their respective service meshes.



Dotmesh is a git-like CLI for capturing, organizing and sharing application states. In other words, it's a snapshotting tool for databases and other filesystem states. Dotmesh captures snapshots from stateful Docker and Kubernetes applications as ’datadots‘, and gives you the ability to label, store and share them as you would with version-controlled code.

dotmesh - git for your data volumes (databases, files etc) in Docker and Kubernetes

Otomi is an open-source cloud-agnostic platform to run on top of Kubernetes to securely deploy, run and manage applications with a desktop-like user interface. Otomi is free, easy to install, comes with an intuitive desktop-like UI and ready to use pre-configured built-in applications to offer an out-of-the-box experience. Just like you would expect from your favorite Linux distribution. After installing Otomi on Kubernetes, you can log in and immediately start deploying and use all the built-in applications.


Otomi- The complete DevOps experience for Kubernetes

NoSQLBench is a serious performance testing tool for the NoSQL ecosystem. It brings together features and capabilities that are not found in any other tool. It can run common testing workloads directly from the command line. It can generate virtual data sets of arbitrary size, with deterministic data and statistically shaped values.
 
It is designed for custom workloads that emulate your application, contained in a single file, based on statement templates - no IDE or coding required.

NoSQLBench is a serious performance testing tool for the NoSQL ecosystem. It brings together features and capabilities that are not found in any other tool. It can run common testing workloads directly from the command line. It can generate virtual data sets of arbitrary size, with deterministic data and statistically shaped values.
    

NoSQLBench - The open source, pluggable, nosql benchmarking suite

 The Anchore Engine is an open source project that provides a centralized service for inspection, analysis and certification of container images. The Anchore engine is provided as a Docker container image that can be run standalone or on an orchestration platform such as Kubernetes, Docker Swarm, Rancher or Amazon ECS. The Anchore engine can be accessed directly through a RESTful API or via the Anchore CLI.

Anchore Engine - Centralized service for inspection, analysis and certification of container images

Admiral™ is a highly scalable and very lightweight Container Management platform for deploying and managing container based applications. It is designed to have a small footprint and boot extremely quickly. Admiral™ is intended to provide automated deployment and lifecycle management of containers.This container management solution can help reduce complexity and achieve advantages including simplified and automated application delivery, optimized resource utilization along with business governance and applying business policies and overall data center integration.

Admiral - Container management solution with an accent on modeling containerized applications and provide placement based on dynamic policy allocation

OAuth2 provider microservices based on Light-Java and SQL

light-oauth2 - A fast, light and cloud native OAuth 2

kind is a tool for running local Kubernetes clusters using Docker container "nodes". kind was primarily designed for testing Kubernetes itself, but may be used for local development or CI.
kind is divided into go packages implementing most of the functionality, a command line for users, and a &ldquo;node&rdquo; base image. The intent is that the kind the suite of packages should eventually be importable and reusable by other tools (e.g. <a href="https://github.com/kubernetes/test-infra/tree/master/kubetest" target="_blank" rel="noopener">kubetest</a>) while the CLI provides a quick way to use and debug these packages.
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kind is a tool for running local Kubernetes clusters using Docker container “nodes”. kind was primarily designed for testing Kubernetes itself, but may be used for local development or CI.

Kubernetes IN Docker - local clusters for testing Kubernetes

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DeepFence - Identify vulnerabilities in running containers, images, hosts and repositories

Meshery - The service mesh management plane

Okteto - A Tool for Cloud Native Developers

runc - CLI tool for spawning and running containers according to the OCI specification

Meshery - The service mesh management plane

dotmesh - git for your data volumes (databases, files etc) in Docker and Kubernetes

Otomi- The complete DevOps experience for Kubernetes

NoSQLBench - The open source, pluggable, nosql benchmarking suite

Anchore Engine - Centralized service for inspection, analysis and certification of container images

Admiral - Container management solution with an accent on modeling containerized applications and provide placement based on dynamic policy allocation

light-oauth2 - A fast, light and cloud native OAuth 2

Kubernetes IN Docker - local clusters for testing Kubernetes

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