Grafana
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955
Companies looking for
881
In the relentless pursuit of observability – because apparently, simply knowing your systems are broken isn't enough – emerged Grafana. It promised to be the beautiful face on a mountain of metrics, a single pane of glass to tame the chaos of modern infrastructure. And to be fair, it largely delivered. It’s a remarkably flexible dashboarding tool, capable of visualizing data from virtually any source, provided you're willing to wrestle with its configuration.
However, beneath the polished UI lies a configuration layer that can quickly devolve into a labyrinth. While alternatives like Kibana offer tighter integration with the ELK stack, Grafana thrives on its open nature, connecting to everything but requiring you to build the connections yourself. Today, it’s ubiquitous in DevOps circles, powering dashboards for everything from Kubernetes clusters to PostgreSQL databases. It's a testament to the fact that even complex tools can succeed if they look pretty enough and solve a genuinely painful problem – even if setting them up feels like a Sisyphean task.
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Jobs in using Grafana for but please no
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machine learning engineer
Machine Learning Engineer - Devops @ genentech
US | 2025-12-28
| USD
147600 - 274000
/ year
Roche's AI for Drug Discovery role is a bona fide ML infrastructure DevOps post: design, deploy, and govern scalable AWS-based ML infra, automate CI/CD, and codify security and governance for...
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AI/ML, R, DevOps, Terraform, CI/CD, Git, AWS, Amazon EC2, S3, Amazon RDS, Amazon SageMaker, Management, Kubernetes, Python, Bash, Cloud Computing, MLOps, Prometheus, Grafana, ELK | ||
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machine learning engineer
Senior Machine Learning Engineer - (Vendor Data) @ delivery-hero-se
DE | 2025-12-28
Delivery Hero’s Senior Machine Learning Engineer for Vendor Data promises end‑to‑end ML at scale across 70+ markets, designing and operating production systems that balance performance with cost....
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AI/ML, Data Science, Cloud Computing, Data Management, MLOps, DataOps, TensorFlow, PyTorch, AWS, GCP, Azure, Docker, Kubernetes, CI/CD, Airflow, Grafana |
