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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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data scientist

PreSales Engineer (ANZ) @ everseen-limited

AU | 2025-12-26
At Everseen, a PreSales Engineer wears the technical hat in the Go-To-Market team: act as SME for vision-AI retail solutions, deliver tailored demos, own technical components of the sales cycle,... read more »
AI/ML, Go, GenAI, SaaS, Data Analytics, Linux, Bash, Management, Docker, Kubernetes, VMware, Oracle, Cloud Computing, Prometheus, Grafana, Ansible, Microsoft, Jira, Power BI
data scientist

Senior Azure Cloud Customer Experience Engineer @ microsoft

AU | 2025-12-26
Microsoft seeks a customer-obsessed advanced cloud engineer to resolve complex Azure issues, support key projects, and serve as the voice of the customer. The role's differentiator is its emphasis... read more »
Microsoft, Cloud Computing, Azure, Management, Computer Science, Data Analytics, AI/ML, Linux, Kubernetes, Big Data, SQL, Cosmos, PostgreSQL, Databricks, ADF, Redis, Analytics, Grafana, Datadog
promoted

The Fundamentals of Analytics Engineering

The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.

data scientist

Azure Advanced Cloud Engineer 2 - Japanese Speaking @ microsoft

AU | 2025-12-24
The role involves supporting Azure customers by troubleshooting complex technical issues, acting as the voice of the customer, and coordinating with product teams. A key differentiator is the... read more »
Microsoft, Cloud Computing, Azure, Management, Computer Science, Data Analytics, AI/ML, Linux, Kubernetes, Big Data, SQL, Cosmos, PostgreSQL, Databricks, ADF, Redis, Analytics, Grafana, Datadog
data scientist

Senior Azure Cloud Customer Experience Engineer @ microsoft

AU | 2025-12-24
This role involves providing technical support to Azure customers by troubleshooting issues, analyzing incident trends, and acting as a bridge between customer feedback and product teams. A unique... read more »
Microsoft, Cloud Computing, Azure, Management, Computer Science, Data Analytics, AI/ML, Linux, Kubernetes, Big Data, SQL, Cosmos, PostgreSQL, Databricks, ADF, Redis, Analytics, Grafana, Datadog