secrets-store-csi-driver-provider-gcp
prometheus
secrets-store-csi-driver-provider-gcp | prometheus | |
---|---|---|
6 | 382 | |
224 | 52,843 | |
-0.4% | 0.9% | |
6.8 | 9.9 | |
5 days ago | 2 days 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.
secrets-store-csi-driver-provider-gcp
- Bridging the Gap: Leveraging Secret Store CSI Drivers to Access Secrets from Google Secret Manager in GKE Cluster
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Shhhh... Kubernetes Secrets Are Not Really Secret!
The driver can also sync changes to secrets. The driver currently supports Vault, AWS, Azure, and GCP providers. Secrets Store CSI Driver can also sync provider secrets as Kubernetes secrets; if required, this behavior needs to be explicitly enabled during installation.
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A better way to manage secrets: reference an external secret defined in the cloud provider environment (please support the idea or give your feedback)
GCP SS-CSI driver
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How to Inject Secret From Google Secret Manager into GKE Cluster using Helm Chart?
That's interesting actually, Google provides their own rpvider for the Secrets Store CSI Driver: https://github.com/GoogleCloudPlatform/secrets-store-csi-driver-provider-gcp
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Has anyone here used Secret Manager before?
Consider: if you have a tool like terraform managing your infra components including your data layer, you likely want to manage those reaources in a different lifecycle from your application code. Applications may also likely managed using a different toolset (kubectl, helm, scaffold, etc.). In this case, secret Manager acts as the secure configuration bridge between the tools, keeping the secrets out of human hands. As certs and passwords are generated on the infra side, those values can be stored as secrets in SM. Application workloads - backed by service accounts having access to read the secret - can decrypt during launch and use the secret as needed. You can use common patterns in both GKE (via thesecrets store csi driver ) and Cloud Run for consuming secrets in this way.
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How to access secrets in GCP secret manager from PODs
I prefer https://github.com/GoogleCloudPlatform/secrets-store-csi-driver-provider-gcp
prometheus
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Release Radar · April 2024 Edition: Major updates from the open source community
It's like Prometheus, but for logs. Okay it's not really to do with the Norse or Greek gods, instead Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by the open source project Prometheus. Built by Grafana Labs, Loki is designed for ease of use. Instead of indexing the contents of the logs, Loki provides a set of labels for each log stream. The latest update includes query acceleration with Bloom filters, native OTel support, Helm charts, and more. Check out the changelog for all the major changes and deprecations.
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Fivefold Slower Compared to Go? Optimizing Rust's Protobuf Decoding Performance
WriteRequest::timeseries is a vector (https://github.com/prometheus/prometheus/blob/main/prompb/re...) and
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Tools for frontend monitoring with Prometheus
Developers widely use Prometheus as a system for operational monitoring and alerting for their projects. Here is a list of tools for monitoring frontend services with Prometheus.
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The power of the CLI with Golang and Cobra CLI
Just to give an example of the power of Go for CLI builds, you may have already used or at least heard of Docker, Kubernetes, Prometheus, Terraform, but what do they all have in common? They all have a large part of their usability via CLI and are developed in Go 🐿.
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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.
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
Setting up monitoring for a system, especially one involving GRPC communication, provides crucial visibility into its operations. In this guide, we walked through the steps to instrument both a GRPC server and client with Prometheus metrics, exposed those metrics via an HTTP endpoint, and visualized them using Grafana. The Docker-Compose setup simplified the deployment of both Prometheus and Grafana, ensuring a streamlined process.
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Monitoring, Observability, and Telemetry Explained
Alerting and Notification: Select a tool with flexible alerting mechanisms to proactively detect anomalies or deviations from defined thresholds. Consider asking questions like "Does this tool offer customizable alerting options and support notification channels that suit our team's communication preferences?" A tool like Prometheus provides robust alerting capabilities.
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Observability at KubeCon + CloudNativeCon Europe 2024 in Paris
Prometheus
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Top 5 Docker Container Monitoring Tools in 2024
Prometheus is an open-source monitoring and alerting toolkit. It is designed to monitor highly dynamic containerized systems, making it an excellent choice for monitoring Docker containers and Kubernetes clusters.
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Install and Setup Grafana & Prometheus on Ubuntu 20.04 | 22.04/EC2
wget https://github.com/prometheus/prometheus/releases/download/v2.46.0/prometheus-2.46.0.linux-amd64.tar.gz
What are some alternatives?
secrets-store-csi-driver - Secrets Store CSI driver for Kubernetes secrets - Integrates secrets stores with Kubernetes via a CSI volume.
metrics-server - Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.
Reloader - A Kubernetes controller to watch changes in ConfigMap and Secrets and do rolling upgrades on Pods with their associated Deployment, StatefulSet, DaemonSet and DeploymentConfig – [✩Star] if you're using it!
skywalking - APM, Application Performance Monitoring System
csi-gcs - Kubernetes CSI driver for Google Cloud Storage
Jolokia - JMX on Capsaicin
aws-efs-csi-driver - CSI Driver for Amazon EFS https://aws.amazon.com/efs/
Telegraf - The plugin-driven server agent for collecting & reporting metrics.
smcache - golang autocert cache implementation for GCP Secret Manager
JavaMelody - JavaMelody : monitoring of JavaEE applications
berglas - A tool for managing secrets on Google Cloud
Glowroot - Easy to use, very low overhead, Java APM