About InetSoft

Since 1996 InetSoft has been delivering easy, agile, and robust business intelligence software that makes it possible for organizations and solution providers of all sizes to deploy or embed full-featured business intelligence solutions. Application highlights include visually-compelling and interactive dashboards that ensure greater end-user adoption plus pixel-perfect report generation, scheduling, and bursting.

InetSoft's patent pending Data Block technology enables productive reuse of queries and a unique capability for end-user defined data mashup. This capability combined with efficient information access enabled by InetSoft's visual analysis technologies allows maximum self-service that benefits the average business user, the IT administrator, and the developer. InetSoft solutions have been deployed at over 5,000 organizations worldwide, including 25% of Fortune 500 companies, spanning all types of industries.

How DevOps Uses Dashboards

DevOps uses dashboards as a tool to provide real-time monitoring, visualization and analysis of various metrics, such as system performance, service availability, and deployment success rates. Dashboards help DevOps teams to quickly identify and troubleshoot issues, monitor the performance of their systems and applications, and track key performance indicators (KPIs) over time. They also provide a single source of truth for the entire organization, enabling better collaboration and informed decision-making. DevOps dashboards often integrate with a variety of tools and systems, such as continuous integration/continuous delivery (CI/CD) pipelines, monitoring systems, and log management tools, to provide a complete picture of the technology stack.

What Are Some DevOps Key Performance Metrics?

Some of the key performance metrics used in DevOps include:

1. Lead time: The time taken from code commit to production deployment.

2. Mean Time to Recovery (MTTR): The average time it takes to resolve production failures.

3. Change failure rate: The percentage of changes that result in failures in production.

4. Deployment frequency: The number of times changes are deployed to production in a given period.

5. Error rate: The number of errors per unit of time or per number of transactions.

6. Resource utilization: The utilization of infrastructure resources such as CPU, memory, and disk space.

7. Application performance: Metrics such as response time, latency, and throughput.

8. User satisfaction: Feedback from users on the quality and availability of services.

9. Compliance and security: Tracking compliance with industry regulations and security standards.

These metrics are used by DevOps teams to measure the performance and efficiency of their systems, identify areas for improvement, and make informed decisions about future investments in technology and processes.

“Flexible product with great training and support. The product has been very useful for quickly creating dashboards and data views. Support and training has always been available to us and quick to respond. - George R, Information Technology Specialist at Sonepar USA

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