joist-orm
Grafana
joist-orm | Grafana | |
---|---|---|
12 | 386 | |
252 | 61,051 | |
7.9% | 1.1% | |
9.8 | 10.0 | |
6 days ago | 4 days ago | |
TypeScript | TypeScript | |
- | 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.
joist-orm
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Which ORM would you pick, Prisma or Typeorm
As few comments have already offered alternatives, so I'll mention Joist.
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Does Typeorm violate the type contract when using relations that aren't explicitly loaded?
I used TypeORM in the past; I had a ton of problems with it. I highly recommend https://joist-orm.io/ instead.
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What is your favorite way to maintain types and schema in a full stack web app, end-to-end?
Codegen our backend models directly from the db (here a strict 1-1 mapping is a feature imo; we use https://github.com/stephenh/joist-ts/), so we get `Green` added to the backend `Color.ts` for free.
- Joist: An idiomatic ORM library for TypeScript
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Complex business logic in Node
If you like Rails/ActiveRecord, Joist is our attempt at a "AR-or-better productivity" ORM for TypeScript.
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Well, shit. Objection.js has been sunset, which ORM/querybuilder did you move to?
Ha, well, as you noted, I'm wary of even bothering to comment :-), but would be great if you checked out Joist: https://joist-orm.io/
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Looking for a type safe ORM/mapper
Checkout https://github.com/stephenh/joist-ts built from the ground up to be typesafe.
- Ask HN: Who is hiring? (November 2021)
- I used Typeorm in one of our projects and I have nothing but regrets
- What do you think about ORMs?
Grafana
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A primer on open-source intelligence for bug bounty hunting in Grafana
Today, I’d like to touch on open-source intelligence, or OSINT. According to Wikipedia, open-source intelligence is the collection and analysis of data gathered from open sources (covert sources and publicly available information) to produce actionable intelligence. As you can infer from the definition, OSINT is a vast topic, and the best way to understand such broad topics is through concrete, narrow-scoped practical examples. In this blog post, I’d like to share one of the approaches on how OSINT techniques can be applied to bug bounty hunting for products with publicly hosted code on GitHub, using the awesome open-source project Grafana as an example. Read on!
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Release Radar · May 2024 Edition: Major updates from the open source community
Speaking of metrics and Grafana, this popular project gets a major update too. As shown in the image above, Grafana is a data visualisation and composable observability platform. With Grafana you can query, visualise, alert on, and understand your metrics wherever that data may sit. The latest update adds lots of new features and enhancements such as a slightly refreshed UI, reducing the set of fields that could trigger an alert state change, the removal of Loki's API restrictions on resource calls, and lots more. Check out all the changes in the changelog.
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Best Practices for Building Microservices with NestJS
Implement health checks and monitoring to ensure the availability and performance of your microservices. Use tools like Prometheus, Grafana, or NestJS built-in health checks.
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Using Cloud Monitoring to Monitor IRIS-Based Applications Deployed in GKE
In this article, we’ll look at one of the ways to monitor the InterSystems IRIS data platform (IRIS) deployed in the Google Kubernetes Engine (GKE). The GKE integrates easily with Cloud Monitoring, simplifying our task. As a bonus, the article shows how to display metrics from Cloud Monitoring in Grafana.
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Kubernetes for Beginners
Kubernetes Documentation: https://kubernetes.io/docs/home/ Kubernetes Tutorials: https://kubernetes.io/docs/tutorials/ Kubernetes Community: https://kubernetes.io/community/ Prometheus: https://prometheus.io/ Grafana: https://grafana.com/ Elasticsearch: https://www.elastic.co/elasticsearch/ Kibana: https://www.elastic.co/kibana Helm: https://helm.sh/ Prometheus Helm Chart: https://github.com/prometheus-community/helm-charts/tree/main/prometheus Grafana Helm Chart: https://github.com/grafana/helm-charts/tree/main/grafana Elasticsearch Helm Chart: https://github.com/elastic/helm-charts/tree/main/elasticsearch Kibana Helm Chart: https://github.com/elastic/helm-charts/tree/main/kibana RBAC: https://kubernetes.io/docs/reference/access-authn-authz/rbac/ Network Policies: https://kubernetes.io/docs/concepts/services-networking/network-policies/ StatefulSets: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/ DaemonSets: https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/ Taints and Tolerations: https://kubernetes.io/docs/concepts/scheduling-eviction/taint-and-toleration/ Custom Resource Definitions (CRDs): https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/ Operators: https://kubernetes.io/docs/concepts/extend-kubernetes/operator/
- Estrutura de projetos Go
- Grafana: From Dashboards to Centralized Observability
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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.
What are some alternatives?
pg-mem - An in memory postgres DB instance for your unit tests
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
beam - 🪵 Beam Design System
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
graphql-typescript-factories - TypeScript test builders/factories for GraphQL schemas
Heimdall - An Application dashboard and launcher
studio - 🎙️ The easiest way to explore and manipulate your data in all of your Prisma projects.
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
slonik - A Node.js PostgreSQL client with runtime and build time type safety, and composable SQL.
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.
kysely - A type-safe typescript SQL query builder
uptime-kuma - A fancy self-hosted monitoring tool