gcp-filestore-csi-driver
opentelemetry-go
gcp-filestore-csi-driver | opentelemetry-go | |
---|---|---|
2 | 127 | |
82 | 4,804 | |
- | 2.0% | |
8.8 | 9.7 | |
about 5 hours ago | about 17 hours ago | |
Go | 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.
gcp-filestore-csi-driver
-
Google Cloud Storage FUSE
Hi Ofek,
I am a contributor who works on the Google Cloud Storage FUSE CSI Driver project. The project is partially inspired by your CSI implementation. Thank you so much for the contribution to the Kubernetes community. However, I would like to clarify a few things regarding your post.
The Cloud Storage FUSE CSI Driver project does not have “in large part copied code” from your implementation. The initial commit you referred to in the post was based on a fork of another open source project: https://github.com/kubernetes-sigs/gcp-filestore-csi-driver. If you compare the Google Cloud Storage FUSE CSI Driver repo with the Google Cloud Filestore CSI Driver repo, you will notice the obvious similarities, in terms of the code structure, the Dockerfile, the usage of Kustomize, and the way the CSI is implemented. Moreover, the design of the Google Cloud Storage FUSE CSI Driver included a proxy server, and then evolved to a sidecar container mode, which are all significantly different from your implementation.
As for the Dockerfile annotations you pointed out in the initial commit, I did follow the pattern in your repo because I thought it was the standard way to declare the copyright. However, it didn't take me too long to realize that the Dockerfile annotations are not required, so I removed them.
Thank you again for your contribution to the open source community. I have included your project link on the readme page. I take the copyright very seriously, so please feel free to directly create issues or PRs on the Cloud Storage FUSE CSI Driver GitHub project page if I missed any other copyright information.
-
Introduction to Day 2 Kubernetes
Any Kubernetes cluster requires persistent storage - whether organizations choose to begin with an on-premise Kubernetes cluster and migrate to the public cloud, or provision a Kubernetes cluster using a managed service in the cloud. Kubernetes supports multiple types of persistent storage – from object storage (such as Azure Blob storage or Google Cloud Storage), block storage (such as Amazon EBS, Azure Disk, or Google Persistent Disk), or file sharing storage (such as Amazon EFS, Azure Files or Google Cloud Filestore). The fact that each cloud provider has its implementation of persistent storage adds to the complexity of storage management, not to mention a scenario where an organization is provisioning Kubernetes clusters over several cloud providers. To succeed in managing Kubernetes clusters over a long period, knowing which storage type to use for each scenario, requires storage expertise.
opentelemetry-go
-
Taming the Multi-Headed Beast: Maintaining SDKs in Production for Years
Our first approach was to implement a separate SDK for each independent technology stack. We decided to use OpenTelemetry which is widely adopted and covers most of our needs.
-
On Implementation of Distributed Protocols
Distributed system administrators need mechanisms and tools for monitoring individual nodes in order to analyze the system and promptly detect anomalies. Developers also need effective mechanisms for analyzing, diagnosing issues, and identifying bugs in protocol implementations. Logging, tracing, and collecting metrics are common observability techniques to allow monitoring and obtaining diagnostic information from the system; most of the explored code bases use these techniques. OpenTelemetry and Prometheus are popular open-source monitoring solutions, which are used in many of the explored code bases.
-
Observability at KubeCon + CloudNativeCon Europe 2024 in Paris
OpenTelemetry
-
Enhancing API Observability Series (Part 3): Tracing
When choosing distributed tracing tools, considerations include your technology stack, business requirements, and monitoring complexity. Zipkin, SkyWalking, and OpenTelemetry are popular distributed tracing solutions, each with its unique features.
-
Beyond Code Completion: Better Prompt Context to Supercharge Your AI Coding Workflow
You can follow this process with any large token AI system like Claude by identifying tracing data relevant to the code you are working on, using it as context to prompt OpenAI or other LLMs. Generally, you’d generate tracing data by implementing OpenTelemetry (aka OTEL) libraries into your application, adding spans to your functions with Jaeger, or using commercial SaaS tools like Honeycomb and Datadog.
-
Open Telemetry: Observing and Monitoring Applications
While many programming languages provide robust support for Open Telemetry, this instance focuses on Golang. It's important to note that, in the current context, the logs SDK for Golang is not implemented. For future reference consult the list of supported languages and explore the Open Telemetry repositories. Always prioritize the main repository and its contrib repository, housing extensions and instrumentation libraries crucial to the Open Telemetry framework. Stay updated with the latest developments to ensure seamless integration and enhanced functionality.
-
Show HN: OneUptime – Self Hosted Open Source Datadog Alternative
OneUptime (https://github.com/oneuptime/oneuptime) is the open-source alternative to DataDog. It's 100% free and you can self-host it on your VM / server / cloud or you can use SaaS at https://oneuptime.com
NEW UPDATES (since we last posted to HN): We now support OpenTelemetry (https://opentelemetry.io/) natively which will help you to monitor, observe and debug any app, service, database or stack.
-
The Lord of Playwright: The Two Traces
OpenTelemetry is the fastest growing Cloud Native Computing Foundation (CNCF) project. It standardizes the instrumentation and collection of traces, metrics, and logs from applications, and is supported by all the major observability projects, languages, and tools. One standard to rule them all!
-
Observabilidade de microsserviços com OpenTelemetry e Amazon OpenSearch [Lab Session]
OpenTelemetry is a collection of tools, APIs, and SDKs. Use it to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) to help you analyze your software’s performance and behavior. https://opentelemetry.io/
-
Sumo Logic and Tracetest: AI-Driven Observability Meets Testing
Tracetest uses your existing OpenTelemetry traces to power trace-based testing with assertions against your trace data at every point of the request transaction. You only need to point Tracetest to your existing trace data source, or send traces to Tracetest directly!
What are some alternatives?
gcs-fuse-csi-driver - The Google Cloud Storage FUSE Container Storage Interface (CSI) Plugin.
skywalking - APM, Application Performance Monitoring System
gcp-compute-persistent-disk-csi-driver - The Google Compute Engine Persistent Disk (GCE PD) Container Storage Interface (CSI) Storage Plugin.
signoz - SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool
blob-csi-driver - Azure Blob Storage CSI driver
YARP - A toolkit for developing high-performance HTTP reverse proxy applications.
geesefs - Finally, a good FUSE FS implementation over S3
opentelemetry-dotnet - The OpenTelemetry .NET Client
curve - Curve is a sandbox project hosted by the CNCF Foundation. It's cloud-native, high-performance, and easy to operate. Curve is an open-source distributed storage system for block and shared file storage.
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
google-drive-ocamlfuse - FUSE filesystem over Google Drive
opentelemetry-go-contrib - Collection of extensions for OpenTelemetry-Go.