Grafana
Prometheus
Datadog
NewRelic
Dynatrace
Splunk
Kibana
Zabbix
StackGres
Kubernetes
TiDB
Google Cloud Spanner
Adaptive.live
k3s
KubeDB
CloudNativePG
Grafana
StackGresGrafana 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.
No StackGres videos yet. You could help us improve this page by suggesting one.
Based on our record, Grafana seems to be a lot more popular than StackGres. While we know about 258 links to Grafana, we've tracked only 10 mentions of StackGres. 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 / 3 months ago
Enable Application Logging, Monitoring and Alerting using services like CloudWatch or Grafana. - Source: dev.to / 3 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 / 4 months ago
Grafana โ visualisation layer that renders live dashboards. - Source: dev.to / 5 months ago
At StackGres [1] we find Timescale to be one of the most used extensions. Timescale is quite a successful project! StackGres is actually the first solution recommended by Timescale for self-hosting with Kubernetes operators [2]. So if you are into Kubernetes (or if not, consider it, using something like K3s [3] is quite straightforward and lightweight on resources), this is probably a great option to self-host... - Source: Hacker News / about 2 months ago
* Latency. Yes, yes, yes, they add "microseconds" vs "milliseconds for queries", and that's true, but just part of the story. There's an extra hop. There's two extra sets of TCP layers being traversed. If the hop is local (say a sidecar, as we do in StackGres) it adds complexity in its deployment and management (something we solved by automation, but was an extra problem to solve) and consumes resources. If it's a... - Source: Hacker News / 6 months ago
This is conceptually similar to what we did for Postgres extensions at the StackGres [1] project. I gave a talk at a Kubecon about it [2]. However, this scheme is not perfect. Some Kubernetes security solutions enforce immutable containers, and once the agent pulls any additional file into the container, it will be flagged. It's also harder to reason about the security of the image (think CVEs, etc), given that... - Source: Hacker News / about 1 year ago
I applaud the decision to use AGPL-3.0. For me, it's a license that provides forward guarantees to the Community: no proprietary forks can happen, so any fork will be an OSS fork from which the upstream project may benefit too, which benefits all users. That's the reason we chose this license for StackGres [1], another project in the Postgres space. [1]: https://stackgres.io. - Source: Hacker News / about 2 years ago
This is good and interesting recipe to get Keycloak and Postgres on Kubernetes. There is an important improvement, though: the Postgres deployed here is not production ready (high availability, backups, monitoring, etc). We run Keycloak on StackGres [1] which gives us production-ready Postgres setup (disclaimer: it's dogfooding). Happy to share the YAML manifests used to deploy Keycloak with StackGres. Maybe we... - Source: Hacker News / over 3 years ago
Prometheus - An open-source systems monitoring and alerting toolkit.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
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.
TiDB - A distributed NewSQL database compatible with MySQL protocol
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.
Google Cloud Spanner - Google Cloud Spanner is a horizontally scalable, globally consistent, relational database service.