wg-serverless
Grafana
Our great sponsors
wg-serverless | Grafana | |
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7 | 379 | |
1,504 | 60,279 | |
0.0% | 1.5% | |
0.0 | 10.0 | |
about 1 year ago | 5 days ago | |
TypeScript | ||
Apache License 2.0 | GNU Affero General Public License v3.0 |
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.
wg-serverless
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Personal programming projects to improve my chances at a job (I have a homeserver)
Check out CNCF Projects. Contributing to some of these open source projects is a great way to gain skills and land a job.
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The quickest way to add an integration test to your kubernetes environment
would indicate if your cluster could retrieve content from cncf.io or if cncf.io is up.
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Stateless, Secretless Multi-cluster Monitoring in Azure Kubernetes Service with Thanos, Prometheus and Azure Managed Grafana
This solution builds upon well-established Cloud Native Computing Foundation (CNCF) open source projects like Thanos and Prometheus,together with a new managed services, Azure Managed Grafana, recently released in public preview. It allows for ephemeral clusters to still have updated metrics without the 2-hours local storage of metrics in the classic deployment of Thanos sidecar to Prometheus.
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DigitalOcean Functions: A powerful serverless computing solution
Not ELI5 but see https://github.com/cncf/wg-serverless/tree/master/whitepaper...
Some people go monolithic app but best practice is usually one function per route.
Traditional servers come with management overhead (e.g. defining/managing/monitoring scaling) and by using Serverless servers you avoid that overhead and optimize for good engineers which are almost always your bigger cost center.
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Serverless 101
github.com/cncf/wg-serverless/blob/master/w..
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Running Serverless Applications on Kubernetes with Knative
As stated in a white paper by the CNCF serverless working group, there are two primary serverless personas:
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Getting Started with CloudEvents and AsyncAPI
The CloudEvents specification is under the CNCF Serverless working group since 2018. The spec's purpose is describing event data in a common way. This is useful in many scenarios, for example, routing events to the appropriate subscribers depending on the type of the event. Since applications can use a lot of different transports to send and receive events, the CloudEvents spec is protocol-agnostic so it defines protocol bindings in order for the metadata to be correctly mapped for HTTP, AMQP, Kafka, etc.
Grafana
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Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana
Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.
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Monitoring, Observability, and Telemetry Explained
Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.
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4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
- Grafana: Open and composable observability and data visualization platform
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The Mechanics of Silicon Valley Pump and Dump Schemes
Grafana
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Reverse engineering the Grafana API to get the data from a dashboard
Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.
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Building an Observability Stack with Docker
So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:
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How to collect metrics from node.js applications in PM2 with exporting to Prometheus
In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:
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Root Cause Chronicles: Quivering Queue
Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.
What are some alternatives?
asyncapi-to-postman - Creates a Postman collection from an AsyncAPI file.
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
dotnet-nats-template - .NET template for NATS
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
generator - Use your AsyncAPI definition to generate literally anything. Markdown documentation, Node.js code, HTML documentation, anything!
Heimdall - An Application dashboard and launcher
AKS - Azure Kubernetes Service
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
k8s-event-grid-bridge - A simple event bridge for Kubernetes native events to Azure Event Grid.
Thingspeak - ThingSpeak is an open source “Internet of Things” application and API to store and retrieve data from things using HTTP over the Internet or via a Local Area Network. With ThingSpeak, you can create sensor logging applications, location tracking applications, and a social network of things with status updates.
ingress-nginx - Ingress-NGINX Controller for Kubernetes
uptime-kuma - A fancy self-hosted monitoring tool