Grafana
Prometheus
Datadog
NewRelic
Dynatrace
Splunk
Kibana
Zabbix
SourceLevel
SonarQube
Codacy
GitPrime
Quality Clouds
Waydev
Haystack Card
Code Climate Velocity
Grafana SourceLevelGrafana is particularly recommended for IT professionals, data analysts, and engineers who need to monitor and visualize large datasets in real-time. It's ideal for organizations running complex systems or applications that require comprehensive monitoring to ensure uptime and performance are maintained. Additionally, Grafana is suitable for teams that value open-source solutions and require a platform that can integrate with multiple data sources and adapt to various monitoring needs.
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Based on our record, Grafana seems to be a lot more popular than SourceLevel. While we know about 258 links to Grafana, we've tracked only 4 mentions of SourceLevel. 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.
The JSON output file can be analyzed using various tools. One popular option is to use Grafana along with k6 Cloud. You can also use the built-in summary report that k6 provides at the end of the test run. - Source: dev.to / 2 months ago
Enable Application Logging, Monitoring and Alerting using services like CloudWatch or Grafana. - Source: dev.to / 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
Prometheus lets you see this in real time. The vLLM metrics endpoint exposes vllm:gpu_cache_usage_perc and vllm:num_requests_waiting via a /metrics endpoint. Wire those up to Grafana, and youโll immediately see when youโre cache-bound versus compute-bound, which tells you exactly which optimization to reach for first. - Source: dev.to / 3 months ago
Grafana โ visualisation layer that renders live dashboards. - Source: dev.to / 4 months ago
Source Level is an engineering management platform that helps teams manage their codebase through analyzing code reviews, pull requests, and collaboration efforts. The EMP translates delivery pipeline into contextual data that can be read throughout. Its main focus is around engagement, and dev throughput. - Source: dev.to / almost 3 years ago
All cops are grouped into departments: Style, Layout, Lint, Naming, Security, Metrics, Migration, Bundler, and Gemspec. You can read about the cops and their departments in the documentation. For reference purposes, check the configuration file that we use in SourceLevel in our linterโs configuration repository. - Source: dev.to / over 4 years ago
SourceLevel โ Automated Code Review and Team Analytics. Free for Open Source and organizations up to 5 collaborators. - Source: dev.to / almost 5 years ago
The post 3 better Engineering Metrics uses for Managers appeared first on SourceLevel. - Source: dev.to / over 5 years ago
Prometheus - An open-source systems monitoring and alerting toolkit.
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
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.
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
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.
GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.
