Grafana 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 Singularity Container. While we know about 250 links to Grafana, we've tracked only 4 mentions of Singularity Container. 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.
I highly recommend checking out Singularity for your computational software. Running your software within containers allows you a lot of freedom, although it does create some complexity in regards to MPI based parallelization. Source: about 3 years ago
Use a singularity image to contain what you want to deploy and give access on the jump host to the image. Permissions flow from existing OS permissions. https://sylabs.io/singularity/. Source: almost 4 years ago
Singularity This is a HPC focused container system that has large industry support. You can use this to package finicky software that only runs on specific linux distributions or only allows for RPM/Deb installations. It is also another mechanism for users to bring their own software and it integrates fairly well with both Slurm and HTCondor. Source: almost 4 years ago
> and it was then when they came up with a pretty cool name for their new OS โ Singularity. Or, it was then when they (intentionally?) ripped off the name of an existing, open source, OS-related project. https://sylabs.io/singularity/. - Source: Hacker News / almost 4 years ago
Monitor utilization through tools like Prometheus, Grafana, or Datadog. - Source: dev.to / 15 days ago
Smart instrumentation for Site Reliability Engineering is of utmost importance now, because with so many moving parts in a microservices based architecture it is otherwise near impossible to identify problems. Technologies like ELK and LGTM+ in combination with OpenTelemetry provide respite in that area. - Source: dev.to / 3 months ago
Grafana clean dashboards + Prometheus = dev happiness. - Source: dev.to / about 1 month ago
The standard observability stack includes Prometheus for metrics collection, Grafana for visualization, and AlertManager for notifications. For logging, consider Fluent Bit or Fluentd with Elasticsearch or cloud logging services. Jaeger or Zipkin provide distributed tracing for microservices debugging. - Source: dev.to / about 2 months ago
Once data flows through the collector, the Grafana LGTM stack lets you explore:. - Source: dev.to / 3 months ago
DockerSlim - DockerSlim (docker-slim): Don't change anything in your Docker container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source) - d...
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