CFSSL

Automate your deployment workflow with DevSpace and develop software directly inside Kubernetes. DevSpace is an open-source developer tool for Kubernetes that lets you develop and deploy cloud-native software faster. DevSpace is a very lightweight, client-only CLI tool which uses your current kube-context, just like kubectl or helm. It does not require you to install anything inside your cluster and works out of the box with every Kubernetes cluster. Builds all images in parallel using Docker, kaniko or any custom build commands (e.g. using cloud build). Tags images according to customizable tag schema and updates tags in manifests and Helm chart values. Pushes images to any public or private registry and automatically creates pull secrets if needed. If your project depends on a service which is part of a different git repository, you can add a devspace.yaml config file to each of the repositories and define dependencies between them. Builds your images and deploys your project using helm or kubectlWatches your files and updates your containers while you're codingOpens a localhost UI optimized for Kubernetes developmentShows a list of all containers and lets you open interactive terminalsShows a list of all containers and lets you stream their logsGets your project ready to be deployed to Kubernetes in seconds

K9s is a terminal based UI to interact with your Kubernetes clusters. The aim of this project is to make it easier to navigate, observe and manage your deployed applications in the wild. K9s continually watches Kubernetes for changes and offers subsequent commands to interact with your observed resources. Provides standard cluster management commands such as logs, scaling, port-forwards, restarts. Define your own command shortcuts for quick navigation via command aliases and hotkeys. Plugin support to extend K9s to create your very own cluster commands. Powerful filtering mode to allow user to drill down and view workload related resources. Supports for viewing RBAC rules such as cluster/roles and their associated bindings. Reverse lookup to asserts what a user/group or ServiceAccount can do on your clusters. You can benchmark your HTTP services/pods directly from K9s to see how your application fare and adjust your resources request/limit accordingly. Tracks in real-time activities of resources running in your Kubernetes clusterHandles both Kubernetes standard resources as well as custom resource definitionsTracks real-time metrics associates with resources such as pods, containers and nodesDrill down directly to what’s wrong with your cluster’s resourcesDefine your very own look and feel via K9s skinsCustomize/Arrange which columns to display on a per resource basis

Dgraph is a horizontally scalable and distributed GraphQL database, the only native GraphQL database to have a graph backend. Dgraph is able to do things that other graph DBs can’t. It provides consistent replication, automatic data movement for shard balancing, distributed ACID transactions, as well as native support for full text search, regular expressions and geo search. If you have over 10 SQL tables interconnected via foreign keys, or sparse data that don’t fit neatly into SQL tables; or if you just want a simple and flexible schema, and prioritize speed and performance at scale, Dgraph is the best choice for you. It’s fully equipped with everything you need and more. Sharded and distributed architectureConsistent replicationAutomatic data movement and shard balancingGraphQL inspired languageGrpc / HTTP + JSON / RDF protocolsDistributed ACID transactionsNative support for full text search, regular expressions and geo search

We rely on both Go and Kafka a lot at Segment. Unfortunately, the state of the Go client libraries for Kafka at the time of this writing was not ideal. sarama, which is by far the most popular but is quite difficult to work with. It is poorly documented, the API exposes low level concepts of the Kafka protocol, and it doesn't support recent Go features like contexts. It also passes all values as pointers which causes large numbers of dynamic memory allocations, more frequent garbage collections, and higher memory usage. confluent-kafka-go is a cgo based wrapper around librdkafka, which means it introduces a dependency to a C library on all Go code that uses the package. It has much better documentation than sarama but still lacks support for Go contexts. goka is a more recent Kafka client for Go which focuses on a specific usage pattern. It provides abstractions for using Kafka as a message passing bus between services rather than an ordered log of events. Programs do not need to import compression packagesCompression codecs are now exposed in the compress sub-packageThe experimental kafka.Client API has been updated and slightly modifiedkafka-go is currently compatible with Kafka versions from 0.10.1.0 to 2.1.0kafka-go is currently compatible with golang version from 1.15+The Conn type is the core of the kafka-go package