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It is a tool that automatically ensures that the state of your Kubernetes cluster matches the configuration you’ve supplied in Git. It uses an operator in the cluster to trigger deployments inside Kubernetes, which means that you don’t need a separate continuous delivery tool. | open source, cloud native, log storage and management platform. It helps you ingest high volumes of log data from various sources. It stores log data into highly compressed Parquet file format. |
Describe the entire desired state of your system in Git. This includes apps, configuration, dashboards, monitoring, and everything else; Use YAML to enforce conformance to the declared system. You don’t need to run kubectl because all changes go through Git. Use diffing tools to detect divergence between observed and desired state and receive notifications;
Everything is controlled through pull requests, which means no learning curve for new developers. Just use your standard PR process. Your Git history provides a sequence of transactions, allowing you to recover system state from any snapshot. Fix a production issue via pull request rather than making changes to the running system | Simple and high performance data ingestion with SDK less REST API;
Deploy on Kubernetes in seconds and start collecting logs from all containers;
Store log data as high compress and analytics friendly Parquet format;
Uses object storage as the primary storage;
Bring your own bucket and completely own your log storage data;
Intuitive dashboard to parse through log data efficiently |
Statistics | |
GitHub Stars 6.9K | GitHub Stars 2.3K |
GitHub Forks 1.1K | GitHub Forks 153 |
Stacks 81 | Stacks 1 |
Followers 76 | Followers 5 |
Votes 1 | Votes 0 |
Pros & Cons | |
Pros
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Integrations | |

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

Seq is a self-hosted server for structured log search, analysis, and alerting. It can be hosted on Windows or Linux/Docker, and has integrations for most popular structured logging libraries.

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Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate, as it does not index the contents of the logs, but rather a set of labels for each log stream.