The APM Server receives data from APM agents and transforms them into Elasticsearch documents. It does this by exposing an HTTP server endpoint to which agents stream the APM data they collect. After the APM Server has validated and processed events from the APM agents, the server transforms the data into Elasticsearch documents and stores them in corresponding Elasticsearch indices.

Elastic APM Server - Receives data from the Elastic APM agents and stores the data into Elasticsearch

Perkeep (née Camlistore) is a set of open source formats, protocols, and software for modeling, storing, searching, sharing and synchronizing data in the post-PC era. Data may be files or objects, tweets or 5TB videos, and you can access it via a phone, browser or FUSE filesystem. Perkeep can store files like a traditional filesystem (think: “directories”, “files”, “filenames”), it’s specialized in storing higher-level objects, which can represent anything.

Perkeep - Personal storage system for life: a way of storing, syncing, sharing, modelling and backing up content

VictoriaMetrics is a fast, cost-effective and scalable monitoring solution and time series database. VictoriaMetrics can be used as long-term storage for Prometheus or for vmagent. It supports Prometheus querying API, so it can be used as Prometheus drop-in replacement in Grafana. It implements MetricsQL query language backwards compatible with PromQL. 
 
VictoriaMetrics provides global query view. Multiple Prometheus instances or any other data sources may ingest data into VictoriaMetrics. Later this data may be queried via a single query.

VictoriaMetrics is a fast, cost-effective and scalable monitoring solution and time series database. VictoriaMetrics can be used as long-term storage for Prometheus or for vmagent. It supports Prometheus querying API, so it can be used as Prometheus drop-in replacement in Grafana. It implements MetricsQL query language backwards compatible with PromQL. 

VictoriaMetrics - Fast, cost-effective and scalable monitoring solution and time series database

immudb is a database with built-in cryptographic proof and verification. It can track changes in sensitive data and the integrity of the history will be protected by the clients, without the need to trust the server. It can operate as a key-value store or as relational database (SQL).
 
Traditional database transactions and logs are hard to scale and are mutable, so there is no way to know for sure if your data has been compromised. immudb is immutable. You can add new versions of existing records, but never change or delete records. This lets you store critical data without fear of it being changed silently.
 
Data stored in immudb is cryptographically coherent and verifiable, just like blockchains, but without all the complexity. Unlike blockchains, immudb can handle millions of transactions per second, and can be used both as a lightweight service or embedded in your application as a library. Companies use immudb to protect credit card transactions and to secure processes by storing digital certificates and checksums.

immudb is a database with built-in cryptographic proof and verification. It can track changes in sensitive data and the integrity of the history will be protected by the clients, without the need to trust the server. It can operate as a key-value store or as relational database (SQL).

immudb - world’s fastest immutable database

CRI-O is an OCI-based implementation of Kubernetes Container Runtime Interface. CRI-O is meant to provide an integration path between OCI conformant runtimes and the kubelet. Specifically, it implements the Kubelet Container Runtime Interface (CRI) using OCI conformant runtimes. The scope of CRI-O is tied to the scope of the CRI.

CRI-O - OCI-based implementation of Kubernetes Container Runtime Interface

Podman (the POD MANager) is a tool for managing containers and images, volumes mounted into those containers, and pods made from groups of containers. Podman is based on libpod, a library for container lifecycle management that is also contained in this repository. The libpod library provides APIs for managing containers, pods, container images, and volumes.

Podman - A tool for managing OCI containers and pods

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

KEDA is a Kubernetes-based Event Driven Autoscaler. With KEDA, you can drive the scaling of any container in Kubernetes based on the number of events needing to be processed. KEDA works alongside standard Kubernetes components like the Horizontal Pod Autoscaler and can extend functionality without overwriting or duplication. 
 
With KEDA you can explicitly map the apps you want to use event-driven scale, with other apps continuing to function. This makes KEDA a flexible and safe option to run alongside any number of any other Kubernetes applications or frameworks.

KEDA is a Kubernetes-based Event Driven Autoscaler. With KEDA, you can drive the scaling of any container in Kubernetes based on the number of events needing to be processed. KEDA works alongside standard Kubernetes components like the Horizontal Pod Autoscaler and can extend functionality without overwriting or duplication. 

KEDA - Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes 

Kyverno is a policy engine designed for Kubernetes. With Kyverno, policies are managed as Kubernetes resources and no new language is required to write policies. This allows using familiar tools such as kubectl, git, and kustomize to manage policies. Kyverno policies can validate, mutate, and generate Kubernetes resources. The Kyverno CLI can be used to test policies and validate resources as part of a CI/CD pipeline.
 
Kyverno allows cluster administrators to manage environment specific configurations independently of workload configurations and enforce configuration best practices for their clusters. Kyverno can be used to scan existing workloads for best practices, or can be used to enforce best practices by blocking or mutating API requests.

Kyverno is a policy engine designed for Kubernetes. With Kyverno, policies are managed as Kubernetes resources and no new language is required to write policies. This allows using familiar tools such as kubectl, git, and kustomize to manage policies. Kyverno policies can validate, mutate, and generate Kubernetes resources. The Kyverno CLI can be used to test policies and validate resources as part of a CI/CD pipeline.



Kyverno - Kubernetes Native Policy Management



Karpenter simplifies Kubernetes infrastructure with the right nodes at the right time. It automatically launches just the right compute resources to handle your cluster's applications. It is designed to let you take full advantage of the cloud with fast and simple compute provisioning for Kubernetes clusters. Its main job is to add nodes to handle unschedulable pods, schedule pods on those nodes, and remove the nodes when they are not needed.
 
It responds quickly and automatically to changes in application load, scheduling, and resource requirements, placing new workloads onto a variety of available compute resource capacity. It comes with a set of opinionated defaults in a single, declarative Provisioner resource which can easily be customized. No additional configuration required.

Karpenter simplifies Kubernetes infrastructure with the right nodes at the right time. It automatically launches just the right compute resources to handle your cluster's applications. It is designed to let you take full advantage of the cloud with fast and simple compute provisioning for Kubernetes clusters. Its main job is to add nodes to handle unschedulable pods, schedule pods on those nodes, and remove the nodes when they are not needed.

Karpenter - Kubernetes Node Autoscaling: built for flexibility, performance, and scalability

Dragonfly is an open source intelligent P2P based image and file distribution system. Its goal is to tackle all distribution problems in cloud native scenarios. It is efficient with P2P and CDN technology which reduces image distribution time significantly and expedite delivery. it supports large-scale file distribution with improved downloading speed and success rate and lower consumption of bandwidth, especially cross-IDC bandwidth.
 
Its features include: 
<ul>
<li>Implement P2P files distribution with various storage types
(HDFS, storage services from various cloud vendors, Maven, Yum, etc.)
through a unified back-to-source adapter layer.</li>
<li>Support more distribution modes:
active pull, active push, real-time synchronization,
remote replication, automatic warm-up,
cross-cloud transmission, etc.</li>
<li>Provide separation and decoupling between systems,
scheduling and plug-in CDN. Support on-demand deployment with
flexible types: light or heavy, inside or outside,
to meet the actual needs of different scenarios.</li>
<li>Newly designed P2P protocol framework based on
GRPC with improved efficiency and stability.</li>
<li>Perform encrypted transmission, account-based transmission
authentication and rate limit, and multi-tenant isolation mechanism.</li>
<li>Bear more efficient IO methods: multithreaded IO, memory mapping, DMA, etc.</li>
<li>Advocate dynamic compression, in-memory file systems,
and more efficient scheduling algorithms to improve distribution efficiency.</li>
<li>Client allows third-party software to
natively integrate Dragonfly’s P2P capabilities through C/S mode.</li>
<li>Productivity: Support file uploading, task management of
various distribution modes, data visualization, global control, etc.</li>
<li>Consistent internal and external versions, shared core features,
and individual extensions of non-generic features.</li>
<li>Enhanced integration with ecology:
Harbor, Nydus (on-demand image download),
warehouse services for various cloud vendors, etc.</li>
</ul>

Dragonfly is an open source intelligent P2P based image and file distribution system. Its goal is to tackle all distribution problems in cloud native scenarios. It is efficient with P2P and CDN technology which reduces image distribution time significantly and expedite delivery.  it supports large-scale file distribution with improved downloading speed and success rate and lower consumption of bandwidth, especially cross-IDC bandwidth.

Dragonfly - An Open-source P2P-based Image and File Distribution System

Gobot is a framework using the Go programming language for robotics, physical computing, and the Internet of Things. It provides a simple, yet powerful way to create solutions that incorporate multiple, different hardware devices at the same time. It provides next generation robotics / IoT framework with support for 30 different platforms. 
 
Gobot provides drivers and adapters for controlling a wide variety of physical devices from low-level Arduino and Raspberry Pi, as well as drones, toys, and other complete devices that themselves have APIs.

Gobot is a framework using the Go programming language for robotics, physical computing, and the Internet of Things. It provides a simple, yet powerful way to create solutions that incorporate multiple, different hardware devices at the same time. It  provides next generation robotics / IoT framework with support for 30 different platforms.  

Gobot - ng framework for robotics, drones, and the Internet of Things (IoT)

Grafana is an open source, feature rich metrics dashboard and graph editor for Graphite, Elasticsearch, OpenTSDB, Prometheus and InfluxDB. It is most commonly used for visualizing time series data for Internet infrastructure and application analytics but many use it in other domains including industrial sensors, home automation, weather, and process control.

Grafana - The leading graph and dashboard builder for visualizing time series metrics

Beego is an open-source, high-performance, modular, full-stack web framework. Its feature include Restful support, MVC model, With powerful built-in modules including session control, caching, logging, configuration parsing, performance supervising, context handling, ORM supporting, and requests simulating and lot more.

Beego - Web Framework for Go

Kontena is a new developer friendly, open source platform for orchestrating applications that are run on Docker containers. It simplifies deploying and running containerized applications on any infrastructure. By leveraging technologies such as Docker, CoreOS and Weave, it provides complete solution for organizations of any size.
 
Kontena is built to maximize developer happiness; it is designed for application developers and therefore does not require ops teams to setup or maintain. Therefore, it is an ideal choice for organizations without aspiration to configure and maintain scalable Docker container infrastructure.

Kontena is a new developer friendly, open source platform for orchestrating applications that are run on Docker containers. It simplifies deploying and running containerized applications on any infrastructure. By leveraging technologies such as Docker, CoreOS and Weave, it provides complete solution for organizations of any size.

Kontena - The Developer Friendly Container & Microservices Platform

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