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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 engineer

Sr.Resident Solutions Engineer @ ibm

JP | 2025-12-27
HashiCorp seeks a Resident Solutions Engineer to develop CI/CD pipelines, automate infrastructure, monitor system health, and ensure security compliance. Their unique advantage is guiding... read more »
Cloud Computing, Management, CI/CD, Terraform, Ansible, IBM, GitHub, GitLab, Jenkins, Splunk, Prometheus, Grafana
data engineer

【1484】_TE_【東京勤務】「Hondaクラウド基盤インフラエンジニア ─ 次世代モビリティを支える環境構築 @ honda

JP | 2025-12-25 | JPY 5900000 - 10900000 / year
Honda is building a cloud‑based SDV development platform and seeks an infrastructure engineer to design and run a massive, multi‑cloud development environment used by thousands of engineers. The... read more »
AWS, GCP, Azure, CI/CD, Jenkins, GitHub, Kubernetes, C, Python, JavaScript, Jira, Confluence, Git, Docker, GitLab, Argo CD, Prometheus, Grafana, Datadog, ELK, IaC, Terraform, Ansible, CloudFormation, DevOps, Linux, AI/ML
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 engineer

Senior DevOps Engineer, Offline Coupon Group - Incentive Platform Department (INPD) @ rakuten

JP | 2025-12-24
This role involves designing, building, and managing cloud-native infrastructure for a high-visibility product within Rakuten's ecosystem, with a unique focus on the intersection of development... read more »
Cloud Computing, Kubernetes, IaC, Terraform, Terragrunt, Management, Docker, CI/CD, Computer Science, GCP, AWS, Azure, Prometheus, Grafana, ELK, Logstash, Kibana, GitHub, Argo CD
data engineer

Cloud Platform Engineer (Kafka Specialist) @ paypay-corp

JP | 2025-12-23
PayPay asks for a Kafka veteran who can both shepherd a self-hosted, multi-cluster streaming platform and navigate AWS MSK, all while moving toward KRaft and an event-driven architecture. The... read more »
Kafka, Data Streaming, AWS, Management, Java, Python, ELK, Athena, Docker, Kubernetes, Argo CD, GitHub, Jenkins, Terraform, Ansible, Logstash, Grafana, Confluence, Jira, Linux, Cloud Computing, Go, Git, CI/CD, Computer Science