Fluentd
kubernetes
Fluentd | kubernetes | |
---|---|---|
25 | 661 | |
12,558 | 106,923 | |
0.5% | 0.8% | |
8.1 | 10.0 | |
4 days ago | 3 days ago | |
Ruby | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Fluentd
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Embracing Kubernetes: The Future of Containerized Applications
Get Started with Fluentd
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Kubernetes Architecture
Currently, there is no cluster-wide logging. Fluentd can be used to have a unified logging layer for the cluster.
- Fluentd – open-source data collection and unified logging layer
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making job execution log searchable
Fluentd hasn't been touched for 8 years? Looking at the repo it looks like it's alive and well. https://github.com/fluent/fluentd
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Top 11 Splunk Alternatives that you may consider in 2023
Fluentd is an open-source log management and data collection tool. Just like Logstash, Fluentd uses a pipeline-based architecture. This allows it to collect data from various sources and network traffic and forward it to various destinations.
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7 Open-Source Log Management Tools that you may consider in 2023
Fluentd is a powerful log management tool that offers organizations the flexibility and scalability required to handle large volumes of log data from a variety of sources and transport it to various destinations. Utilizing a flexible and modular architecture, Fluentd allows users to easily add new input and output plugins to integrate with a wide range of systems and applications. It supports a wide range of data sources and destinations, including databases, message queues, and data stores.
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Substation: Data Pipeline and Transformation Toolkit Written in Go
Substation is an affordable alternative to products like Cribl (~10x cost savings) and is easier to manage than similar open-source projects such as Logstash and fluentd. It's been used in production by the security team at Brex for 2+ years and is ready for any scale, even beyond 100,000 events per second!
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Simple way to centralize my server logs?
There are probably too many to chose from. Logstash, Promtail, Vector, Filebeat, FluentD, Logagent and probably many more
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The Everything Guide to Data Collection in DevSecOps
To alleviate some of the pain, it’s a good idea to use industry standards and tooling like OpenTelemetry (https://opentelemetry.io). For data collection specific to logs, open-source tools like LogStash and Fluentd are also popular.
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Top 20 Observability Tools Every Startup Should Know About in 2022
Created and maintained by the creators of fluentd, fluentbit is a lightweight, fast, and scalable logging and metrics processor and forwarder. Built specifically for the cloud and containerized environments, it allows users to collect data from any source, enrich it with filters and forward it to the tool of their choice.
kubernetes
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Streamlining Deployments: Unveiling the Power of GitOps with Kubernetes
In the field of software development, efficiency and agility are always sought after. In the era of cloud-native apps, traditional deployment techniques—which are frequently laborious and prone to errors—are starting to become obstacles. This is when Kubernetes and GitOps come in handy.
- Presentación del Operador LMS Moodle
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Introducing LMS Moodle Operator
Are you looking for a hassle-free way to deploy Moodle™ Learning Management Systems (LMS) on Kubernetes? Look no further! Krestomatio presents the LMS Moodle Operator, an open-source Kubernetes Operator designed to simplify the deployment and management of Moodle instances on Kubernetes clusters. Let's dive into what makes this tool a great choice for Moodle administrators and developers alike.
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Using NetBird for Kubernetes Access
Securing access to your Kubernetes clusters is crucial as inadequate security measures can lead to unauthorized access and potential data breaches. However, navigating the complexities of Kubernetes access security, especially when setting up strong authentication, authorization, and network policies, can be challenging.
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My Favorite DevTools to Build AI/ML Applications!
Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.
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Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide
To learn more, you can start by exploring the official Kubernetes documentation.
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Building Llama as a Service (LaaS)
With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.
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The power of the CLI with Golang and Cobra CLI
This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.
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Upgrading Hundreds of Kubernetes Clusters
We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.
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Kubernetes and back – Why I don't run distributed systems
"You are holding it wrong", huh?
From the homepage https://kubernetes.io/:
"Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications."
Do you see "not recommended for smaller-scale applications" anywhere? Including on the entire home page? Looking for "small", "big" and "large" also yields nothing.
What are some alternatives?
vector - A high-performance observability data pipeline.
Apache ZooKeeper - Apache ZooKeeper
zipkin - Zipkin is a distributed tracing system
bosun - Time Series Alerting Framework
Flume - Mirror of Apache Flume
Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
Lograge - An attempt to tame Rails' default policy to log everything.
kine - Run Kubernetes on MySQL, Postgres, sqlite, dqlite, not etcd.
Semantic Logger - Semantic Logger is a feature rich logging framework, and replacement for existing Ruby & Rails loggers.
BOSH - Cloud Foundry BOSH is an open source tool chain for release engineering, deployment and lifecycle management of large scale distributed services.
heka - DEPRECATED: Data collection and processing made easy.
Juju - Orchestration engine that enables the deployment, integration and lifecycle management of applications at any scale, on any infrastructure (Kubernetes or otherwise).