Topics Tagged: grafana dashboards
Explore content across professions related to "grafana dashboards".
Top data tools every DevOps Engineer should master
Track application performance, latency, memory usage, and CPU load Create custom alerts based on defined thresholds Integrate with grafana for visualization Prometheus is a staple for observability in cloud-native environments. grafana ? Data Visualization for DevOps grafana is a visualization platform that pairs seamlessly with Prometheus, InfluxDB, and other data sources.
Top data tools every System Administrator should master
With the right tools, this data can be used to: Proactively detect and prevent system failures Automate complex or repetitive administrative tasks Ensure compliance and audit readiness Generate reports and dashboards for stakeholders Optimize system performance and scalability Essential Data Tools for System Administrators 1. With its customizable dashboards and alerting features, Splunk is ideal for troubleshooting, performance tracking, and security analysis.
Top data tools every Cloud Architect should master
grafana and Prometheus Prometheus is a metrics collection and alerting toolkit, while grafana is its companion for creating dashboards and visualizing data. Elasticsearch: Index and search logs efficiently Logstash: Collect, process, and transform log data Kibana: Visualize data with interactive charts and dashboards Helps Cloud Architects analyze system behavior and troubleshoot complex issues quickly.
Top data tools every Network Engineer should master
Set custom alerts for device status, CPU usage, or service uptime Log SNMP, ICMP, and service-level health data Integrate with dashboards for centralized control They’re ideal for keeping tabs on infrastructure in real time. Prometheus + grafana Why it’s growing in popularity: These tools are ideal for collecting and visualizing time-series network and server metrics.
What a typical day looks like for a DevOps Engineer
Daily Stand-Up: Join scrum meetings to review tasks, blockers, and progress Dashboard Review: Check grafana, Prometheus, or Datadog dashboards for overnight anomalies Alert Audit: Review monitoring alerts and incident reports from PagerDuty, Opsgenie, or other tools This time is used to prioritize urgent issues and prepare for the day’s automation and infrastructure goals.
Remote work tips for successful ETL Developers
Set Up a Reliable and Secure Workspace Creating a stable environment is essential for developing and monitoring ETL pipelines remotely: Use dual monitors for multitasking across IDEs, dashboards, and meetings Secure your machine with a VPN, antivirus, and encrypted disk storage Automate backups for your code, scripts, and configuration files Ensure cloud access to key tools (e. Master Remote-Friendly Tools ETL Developers must stay proficient with cloud platforms and orchestration tools that support remote workflows: Orchestration: Apache Airflow, Prefect, Azure Data Factory, AWS Glue Code Repositories: GitHub or GitLab with clear branching and PR workflows Monitoring: DataDog, grafana, or CloudWatch for alerting and observability Collaboration: Slack, Microsoft Teams, Jira, and Confluence for team updates and task tracking Cloud-native and asynchronous tools keep your workflows smooth and collaborative, no matter the time zone.
Top data tools every Site Reliability Engineer should master
Prometheus: Widely used for time-series monitoring and alerting grafana: Visualization tool that integrates with Prometheus and other data sources Datadog, New Relic, or Dynatrace: Full-stack observability platforms with built-in anomaly detection OpenTelemetry: Standard framework for collecting traces, logs, and metrics SREs use these tools to define SLOs, detect incidents, and improve mean time to resolution (MTTR). Cloud Platforms and Service dashboards Since most modern infrastructure is cloud-based, SREs must understand major cloud service platforms and their monitoring dashboards: AWS CloudWatch / Azure Monitor / Google Cloud Operations Suite Cost monitoring and autoscaling tools Identity and access management (IAM) configuration Cloud-native monitoring and management tools provide granular control over system performance and cost optimization.
What a typical day looks like for a Site Reliability Engineer
Morning: Review, Monitoring, and Planning SREs often begin their day by checking dashboards, alerts, and communications from previous shifts. This sets the tone for any urgent action or follow-ups needed: Check PagerDuty or Opsgenie for overnight alerts or incident escalations Review monitoring dashboards (grafana, Datadog, CloudWatch) for system health trends Look through error budgets and recent SLO/SLI reports Attend a team standup or sync meeting to align on daily goals and blockers This time is also used to prioritize the day's tasks—whether that's finishing an automation script, deploying updates, or preparing for a postmortem.
Remote work tips for successful DevOps Engineers
Use a dedicated workstation with dual monitors for managing dashboards and terminals Enable VPN access and secure SSH key management Ensure 2FA is active for cloud consoles, CI/CD platforms, and collaboration tools Security and reliability are non-negotiable for remote infrastructure management. Communication: Slack, Microsoft Teams, Zoom Version Control: GitHub, GitLab, Bitbucket CI/CD: Jenkins, GitHub Actions, GitLab CI IaC: Terraform, Ansible, CloudFormation Monitoring: Prometheus, grafana, Datadog, ELK Stack Ensure your local setup mirrors production workflows where possible to reduce surprises.
Top data tools every Software Engineer should master
It is widely adopted in cloud-native environments and integrates seamlessly with visualization tools like grafana. grafana: This open-source dashboarding tool allows engineers to visualize metrics from multiple sources, enabling fast diagnostics and performance tracking.
What programming languages should a DevOps Engineer know?
JavaScript/TypeScript ? Front-End for DevOps Tools Though not traditionally a DevOps language, JavaScript and TypeScript are useful for building internal dashboards, visual monitoring tools, or customizing front ends for CI/CD platforms. Create web-based UIs for build monitoring or deployment control panels Integrate with APIs from GitLab, Jenkins, or grafana Work with tools like Node.
Remote work tips for successful Database Administrators
Key tools include: Database Monitoring: SolarWinds DPA, Redgate SQL Monitor, Prometheus + grafana Remote Access: Secure SSH, RDP via VPN, cloud-based database consoles (AWS RDS, Azure SQL) Alerting Systems: PagerDuty, Opsgenie, or built-in email/SMS alerts Ensure monitoring dashboards are always accessible and configured to send real-time alerts on resource usage, failures, and slow queries.
Common challenges faced by Cloud Support Engineers in agile teams
Use tools like infrastructure as code and observability dashboards that are accessible to both developers and support engineers. , Prometheus, grafana, OpenTelemetry).
What makes a great Cloud Support Engineer resume stand out?
Emphasize Measurable Achievements Use bullet points in your experience section to highlight accomplishments backed by data: Reduced cloud infrastructure costs by 25% through right-sizing and autoscaling improvements Automated EC2 provisioning and IAM role assignments, cutting manual setup time by 60% Resolved over 300 support tickets with a 98% SLA compliance rate Implemented monitoring dashboards that improved incident detection speed by 45% Start each bullet with a strong action verb like 'Optimized,' 'Implemented,' or 'Troubleshot. Include Relevant Projects or Open Source Contributions Especially for early-career engineers or career changers, a project section can reinforce your hands-on experience: Developed a Python script to automate cloud backup and cleanup tasks Contributed to an open-source Kubernetes monitoring plugin with grafana integration Provide GitHub or portfolio links when possible to show proof of work.
Remote work tips for successful Cloud Support Engineers
Master Remote Incident Management Incidents can happen any time, and as a remote Cloud Support Engineer, you must be ready: Ensure you have remote access to dashboards, logging platforms, and monitoring tools (e. , CloudWatch, ELK, grafana) Maintain a copy of runbooks and escalation paths offline in case of VPN or access issues Use incident response platforms like PagerDuty or Opsgenie for coordination and accountability Run periodic simulations or fire drills to stay prepared for high-stakes moments.
Remote work tips for successful Site Reliability Engineers
Use tools like Prometheus, grafana, or Datadog to monitor system metrics Define SLOs and SLIs to measure service performance Integrate alerting with on-call tools like PagerDuty or Opsgenie Ensure alerts are actionable and avoid alert fatigue by tuning thresholds and suppression rules. Maintain incident timelines and RCA documents for all major issues Create onboarding guides for internal tools, dashboards, and environments Standardize how postmortems and status updates are shared across the org Documentation builds resilience and makes knowledge accessible across time zones.
How does a Site Reliability Engineer contribute to product development?
Set up metrics dashboards with tools like Prometheus, grafana, or Datadog Integrate tracing systems like OpenTelemetry or Jaeger Configure alerts based on real-world service thresholds (SLOs) This gives developers and product owners visibility into how new features affect users and system health.
Top data tools every ETL Developer should master
Data Quality and Monitoring Tools Purpose: Ensure accuracy, completeness, and consistency in pipelines Great Expectations: For automated testing and validation of datasets Monte Carlo or Datafold: For data observability and anomaly detection Custom logging dashboards: Built with ELK, grafana, or Prometheus Why it matters: Ensuring trust in data pipelines is essential for analytics, compliance, and operational use cases.
Common challenges faced by ETL Developers in agile teams
Set up centralized logging and dashboards using tools like ELK Stack or grafana.
How does a DevOps Engineer contribute to product development?
Set up logging, alerting, and performance metrics using tools like Prometheus, grafana, or Datadog Manage load balancers, failover systems, and backup strategies Support disaster recovery planning and high availability setups These efforts protect the user experience and ensure smooth product operation.
How to transition into a DevOps Engineer role from another tech job
Focus on learning: CI/CD Tools: Jenkins, GitLab CI, GitHub Actions Infrastructure as Code: Terraform, CloudFormation, Ansible Containers: Docker, Kubernetes Monitoring & Logging: Prometheus, grafana, ELK Stack, Datadog Cloud Platforms: AWS, Azure, GCP Use labs, online courses, or sandbox environments to gain hands-on experience.
What makes a great DevOps Engineer resume stand out?
Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP) Infrastructure as Code: Terraform, CloudFormation, Ansible Containers & Orchestration: Docker, Kubernetes, Helm CI/CD Tools: Jenkins, GitLab CI, GitHub Actions Monitoring & Logging: Prometheus, grafana, ELK Stack, Datadog Scripting: Bash, Python, YAML, Groovy Tailor this section to reflect the requirements listed in the job description.
Remote work tips for successful Cloud Architects
Use Infrastructure as Code (IaC) with Terraform or CloudFormation for deployments Monitor systems with grafana, Prometheus, CloudWatch, or Datadog Automate cost reports, compliance scans, and security alerts The more self-sustaining your systems are, the fewer interruptions you’ll face during focused work hours.
What a typical day looks like for a AI Engineer
Track model performance metrics and analyze user feedback to detect any degradation or drift Implement strategies to retrain models with new data or fine-tune them based on performance feedback Use tools like Prometheus or grafana to visualize and track key performance indicators (KPIs) for models in production AI Engineers must monitor models continuously to detect issues early and ensure that they deliver optimal performance and accuracy.
Common challenges faced by System Administrators in agile teams
SysAdmins must be proficient in tools such as: Jira or Trello for task tracking Git for version control and code collaboration CI/CD tools like Jenkins, GitLab CI, or CircleCI Monitoring platforms like Prometheus, grafana, or Datadog Understanding how these tools interact with infrastructure is crucial for supporting agile workflows.
What makes a great System Administrator resume stand out?
Include a clearly organized “Technical Skills” section, categorized by type: Operating Systems: Linux (Ubuntu, CentOS), Windows Server Virtualization: VMware, Hyper-V, KVM Cloud: AWS, Azure, Google Cloud Platform Automation & Scripting: Bash, PowerShell, Python Monitoring Tools: Nagios, Prometheus, grafana Security: Firewalls, MFA, patch management Tailor your skills list to match the job description you're applying for.
What makes a great Database Administrator resume stand out?
Consider breaking them into categories: Databases: SQL Server, Oracle, PostgreSQL, MySQL, MongoDB Tools: SSMS, SQL Developer, pgAdmin, Redgate, RMAN Scripting: T-SQL, PL/SQL, Bash, PowerShell, Python Cloud: AWS RDS, Azure SQL, Google Cloud SQL Monitoring: SolarWinds, Zabbix, Prometheus, grafana Tailor this section to the technologies listed in the job description you're applying for.
What certifications help Site Reliability Engineers grow their career?
Additional Valuable Certifications Prometheus Certified Associate (under development): For SREs focused on monitoring and alerting Certified Observability Engineer (New Relic, Datadog): Vendor-specific but useful in large observability stacks Google SRE Workbook Study (unofficial): While not a certification, studying this industry-standard resource shows deep alignment with SRE philosophies Choosing the Right Path Based on Role and Stack Select your certifications based on the environment you're working in or want to move into: Cloud-specific roles: Choose AWS, GCP, or Azure certifications Infrastructure automation: Focus on Terraform and Kubernetes Monitoring-heavy environments: Learn Prometheus, grafana, and observability tools Consider certifications that align with your daily responsibilities and long-term career goals, whether you’re targeting automation leadership, infrastructure reliability, or DevSecOps integration.
What makes a great Site Reliability Engineer resume stand out?
Prioritize skills in these categories: Languages: Python, Go, Bash, YAML Infrastructure: Kubernetes, Docker, Terraform, Ansible Cloud Platforms: AWS, GCP, Azure Monitoring & Observability: Prometheus, grafana, ELK Stack, Datadog CI/CD & Automation: Jenkins, GitLab CI, ArgoCD, Spinnaker Only include tools you’ve worked with hands-on, and be prepared to talk through examples in interviews.
How to transition into a Site Reliability Engineer role from another tech job
Become fluent with the following tools: Infrastructure as Code: Terraform, Ansible, Pulumi Containers and Orchestration: Docker, Kubernetes, Helm Monitoring and Observability: Prometheus, grafana, ELK Stack, Datadog CI/CD Pipelines: Jenkins, GitHub Actions, ArgoCD Cloud Platforms: AWS, GCP, or Azure (start with free tiers) Try building a home lab using these tools or contribute to open-source projects that use them.
Remote work tips for successful Business Intelligence Analysts
Build a Productive and Secure Workspace A reliable and distraction-free workspace is essential for remote BI work: Use a dual-monitor setup for working with large datasets and dashboards Secure high-speed internet for uninterrupted access to cloud tools Ensure encryption, VPN access, and secure authentication for data sources BI work often involves sensitive data, so security protocols are just as important as comfort. Use the Right BI and Collaboration Tools Cloud-based platforms and integrations are key to productivity and collaboration: Data Analysis: BigQuery, Snowflake, Redshift Visualization: Power BI, Tableau, Looker Communication: Slack, Microsoft Teams, Zoom Project Management: Jira, Trello, Asana, Notion Keep dashboards updated in real time and documentation shared in centralized locations for easy stakeholder access.
Common challenges faced by Machine Learning Engineers in agile teams
Solution: Use monitoring tools like Prometheus, Datadog, or grafana to track model performance metrics and set up alert systems.
What a typical day looks like for a Business Intelligence Analyst
Whether they're building dashboards, writing SQL queries, or meeting with teams to interpret trends, BI Analysts transform raw data into strategic value. The BI Analyst checks for: Urgent data requests or issues with dashboards Meeting reminders and sync invitations Updates from data engineering or product teams They prioritize tasks for the day, balancing short-term ad hoc requests with longer-term projects.
Best Excel skills for aspiring Financial Analysts
Financial dashboards and Reporting Financial Analysts often need to present complex data in an easy-to-understand format. Excel provides tools for creating professional-looking financial dashboards and reports that communicate key financial metrics clearly.
Best Excel skills for aspiring Venture Capital Analysts
Key functions include: VLOOKUP / XLOOKUP: Match startups with data from other sources INDEX/MATCH: For flexible referencing across financial models INDIRECT: To reference named or dynamic ranges in dashboards These functions streamline startup analysis and reporting tasks. Dynamic dashboards and KPI Tracking VC firms rely on dashboards to monitor performance across their portfolios.
Best Excel skills for aspiring Corporate Strategists
PivotTables and Strategic dashboards PivotTables allow for efficient summarization of large datasets. Strategists use them to: Analyze key performance indicators (KPIs) by business unit or region Track operational performance over time Build interactive dashboards for executive briefings Combine with slicers and charts for an intuitive, visual reporting experience.
Best Excel skills for aspiring Treasury Analysts
Liquidity dashboards and Reporting Excel enables the creation of customized liquidity reports and dashboards. Excel can be used to create: Cash position waterfalls or trend lines FX exposure bar charts Interactive dashboards with charts linked to slicers Chart types: Line, Bar, Combo, Area, and Waterfall Charts 7.
What a typical day looks like for a Data Analyst
Review dashboards and alerts: Monitor key performance indicators (KPIs) or dashboards for any unusual patterns. Build dashboards: Use Tableau, Power BI, or Google Data Studio to visualize trends and metrics.
Best Excel skills for aspiring Revenue Analysts
Excel provides the ability to: Build dynamic models for revenue forecasting and scenario analysis Perform complex calculations with ease Create visually intuitive dashboards and summaries Automate routine tasks using formulas and macros Its accessibility and adaptability make Excel a core platform for both daily tasks and long-term strategic planning. actuals, or channel comparisons Slicers and Timelines: Add interactive filters to your dashboards for better user experience Automation and Efficiency Boosters To work smarter and faster, Revenue Analysts can use: Named Ranges: Make formulas easier to read and manage in large models Macros (VBA): Automate repetitive tasks such as data cleansing or report generation Power Query: Import and transform external data without manual reformatting These skills allow Analysts to focus more time on insights rather than manual processing.
Best Excel skills for aspiring Accountants
Financial Reporting and dashboards As accountants frequently prepare financial reports, the ability to create professional and visually appealing financial statements and dashboards is essential. Excel allows accountants to create dynamic reports and dashboards that track key financial performance indicators (KPIs).
Best Excel skills for aspiring Investment Bankers
Excel offers several tools for data visualization, such as charts and dashboards. Building dashboards: dashboards provide a real-time overview of key financial metrics and performance indicators.
How to transition into a Business Intelligence Analyst role from another tech job
Invest time in mastering: SQL: Foundational for querying relational databases Excel/Google Sheets: For modeling and quick analysis BI Platforms: Tableau, Power BI, Looker for dashboards and data visualization Optional: Python or R for data wrangling and statistical analysis Free platforms like Mode Analytics, W3Schools, or Coursera can get you started quickly. Try: Creating dashboards with public datasets (e.
What makes a great Data Analyst resume stand out?
Adept at building dashboards, optimizing workflows, and delivering reports that influence business strategy. Instead of: “Built dashboards for the sales team.
Top data tools every Data Analyst should master
Use functions like VLOOKUP, INDEX-MATCH, and IF statements Build dynamic dashboards with pivot tables and charts Automate repetitive tasks with VBA macros Despite the rise of more advanced tools, Excel is still a must-have in a Data Analyst's toolbox. Tableau ? Interactive Data Visualization Tableau is a leading business intelligence (BI) tool used to create interactive dashboards and visual stories that bring data to life.
Best Excel skills for aspiring Compliance Officers
Key functions include: VLOOKUP / XLOOKUP: Find matching records between datasets INDEX-MATCH: A powerful alternative to VLOOKUP with more flexibility INDIRECT: Reference named ranges or dynamic ranges for dashboards These functions support due diligence, KYC reviews, and reconciling employee or vendor data. They allow you to: Track policy violations by department or region Summarize AML alerts, audit findings, or training completion rates Create snapshots for senior leadership or regulators Combined with slicers and filters, PivotTables support interactive dashboards and agile reporting.
Best Excel skills for aspiring Management Analysts
Excel provides numerous tools for building dashboards that combine charts, key metrics, and interactivity into one coherent view. Important visualization tools include: Charts (Bar, Line, Pie, Combo): Convey trends and comparisons visually Conditional Formatting: Highlights key data points or outliers Data Bars and Color Scales: Adds visual cues directly in the spreadsheet Slicers: Adds filtering functionality to dashboards A well-designed Excel dashboard enables managers to monitor KPIs and make informed decisions in real-time.
Day in the life of a successful Operations Manager
Using dashboards and reports, they analyze: Key performance indicators (KPIs) Daily sales and production outputs Staffing levels and schedules Inventory or logistics alerts After reviewing this data, the Operations Manager outlines the day's priorities and sets goals for each team or department under their supervision. The Operations Manager might: Update performance dashboards Submit daily or weekly reports to senior management Document process improvements and standard operating procedures (SOPs) Plan for the next day or week This time is also used to review employee performance or provide coaching to team leads.
What programming languages should a Network Engineer know?
JavaScript (for Network dashboards & APIs) Why it’s optional but powerful: JavaScript is often used in frontend tools and for interacting with network APIs or visualization dashboards. Customize or develop internal web dashboards for monitoring Interact with network management systems via web-based APIs Enable real-time visualization of network data JavaScript is valuable for Network Engineers working closely with UI or DevOps teams.
What programming languages should a Business Intelligence Analyst know?
Whether you're preparing data for dashboards or running ad hoc reports, these core languages empower BI Analysts to query, analyze, and visualize data efficiently across platforms and industries. Create dynamic KPIs and time-intelligent calculations Build interactive dashboards with filters and slicers Enhance report interactivity without additional scripts DAX is a must-have for BI Analysts using Microsoft’s analytics stack.
What certifications help Business Intelligence Analysts grow their career?
Microsoft Certified: Data Analyst Associate (Power BI) Why it’s valuable: This certification proves your ability to create meaningful data visualizations, manage datasets, and build interactive dashboards using Power BI. Tableau Desktop Specialist or Certified Data Analyst Why it’s valuable: Tableau certifications validate your ability to build compelling dashboards and use visual best practices to communicate insights.
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#grafana and prometheus#prometheus grafana networking#real-time dashboards#sales dashboard templates#sql dashboard skills