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Prometheus
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Based on our record, Prometheus should be more popular than JsonAPI. It has been mentiond 300 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Prometheus scrapes metrics from the stack. Node exporter covers the host, cAdvisor covers containers, and individual services expose their own endpoints where supported. The main value isn't dashboards (though those exist) - it's having a queryable record of system state over time, and a place to hook alerts when something drifts. - Source: dev.to / 25 days ago
Prometheus is the industry-standard time-series database for infrastructure metrics. Paired with Grafana for visualization and Alertmanager for routing, it forms the backbone of monitoring at companies from startups to Netflix-scale deployments. This isn't a single tool โ it's an ecosystem. - Source: dev.to / about 1 month ago
To monitor and analyze rate limiting metrics, we're using a combination of Redis and Prometheus. We're storing rate limiting metrics in Redis and then using Prometheus to scrape the metrics and display them in a dashboard. Here's an example of how we're storing rate limiting metrics in Redis:. - Source: dev.to / about 1 month ago
In this post, we compare two forecasting models, Chronos (ChronosโBolt) and Toto, on telemetry from Prometheus and OpenSearch. We judge them with two easy metrics: MASE for point accuracy and CRPS for the quality of uncertainty. - Source: dev.to / about 2 months ago
For monitoring infrastructure, Prometheus and Grafana are widely used for pipeline metrics collection and alerting. For orchestration that includes built-in run observability, Apache Airflow tracks run history, task durations, and failure states in a web UI. Python with SQLAlchemy is the standard stack for custom pipeline implementation with relational state management. - Source: dev.to / 3 months ago
REST does not define a standard batching mechanism at the protocol level. When batching is needed, it is handled through API design (such as bulk endpoints), infrastructure, or framework-specific solutions. Some specifications attempt to address this, such as ODataโs batch format or JSON:APIโs compound documents, but adoption is inconsistent. - Source: dev.to / 3 months ago
Why reinvent the wheel poorly when you have a hundred of solutions like https://jsonapi.org/? - Source: Hacker News / 11 months ago
For context, the subject-predicate-object pattern is known as a semantic triple or Resource Description Framework (RDF) triple: https://en.wikipedia.org/wiki/Semantic_triple They're useful for storing social network graph data, for example, and can be expressed using standards like Open Graph and JSONAPI: https://ogp.me https://jsonapi.org I've stored RDF triples in database tables and experimented with query... - Source: Hacker News / about 1 year ago
Built on JSON API standards, the OSF API is intuitive for anyone familiar with REST conventions. Once you learn its core patterns, you can quickly expand into project creation, user collaboration, and moreโwithout constantly referencing documentation. The official OSF API docs provide everything needed to get started. - Source: dev.to / about 1 year ago
Following established patterns reduces the learning curve for your API. Adopt conventions from JSON:API or Microsoft API Guidelines to provide consistent experiences. - Source: dev.to / over 1 year ago
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
GraphQL - GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
graphql.js - A reference implementation of GraphQL for JavaScript - graphql/graphql-js
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.
Apollo - Apollo is a full project management and contact tracking application.