Systems | Development | Analytics | API | Testing

Your SaaS monitoring dashboard provides a holistic view of your business. Learn how to build one and which metrics you need to include.

You can now tell the full story of your performance from a variety of sources and viewpoints.

Building a great story-telling dashboard is easy if you understand your audience, access the right data, and choose the right charts and metrics.

We are pleased to announce the beta launch of hosted Grafana in addition to our existing ELK as a Service & hosted Open Distro services. As organisations around the world are constantly looking for ways that they can ensure compliance is being upheld, speeding up Mean Time To Repair (MTTR) and reducing the risk of DDoS attacks, managed Grafana forms a vital role in improving metrics observability across the entirety of your infrastructure.

If you have any experience with comparing open source data visualisation tools then it is very likely you will have encountered both Kibana and Grafana during your research and discovery phase. As two of the most popular solutions for logs and metrics analysis, it can be difficult to distinguish between the two and make the choice to use either Grafana or Kibana depending on the analysis task at hand.

For modern businesses faced with increasing volumes and complexity of data, it’s no longer efficient or feasible to rely on analyzing data in BI dashboards. Traditional dashboards are great at providing business leaders with insights into what’s happened in the past, but what if they need actionable information in real time? What if they want to use their data to estimate what may happen in the future? Companies are taking notice.

By combining metrics from multiple data sources, you can create more informative, more insightful reporting dashboards.

For a long time, many in the analytics and business intelligence (BI) industry, including most of our competitors, have loosely labelled data visualization in the form of charts and dashboards as ‘data storytelling’.

Modern data and analytics leaders know that every business user is different. No two marketers or finance managers will use data in exactly the same way because no two share the same contextual view or understanding of the business. Their challenges are as nuanced as they are complex. And they need insights tailored to their specific needs if they are to be successful at solving business problems with data. Unfortunately, traditional BI tools treat everyone like carbon copies.