Trianz was approached by one of the world’s largest data center and co-location service providers. The company provides fast compute services for application performance, low latency network routes worldwide, and a digital ecosystem of financial, content, media, and enterprise cloud networking services.
The client lacked visibility into problematic infrastructure components as part of its IT operations management strategy. This meant it could not gain any insight necessary to guide infrastructure capacity expansion plans with its current monitoring solution.
In action, this led to a high number of IT incidents which negatively impacted business service availability. It also could not proactively forecast incidents and event trends, leading to a reactive remediation approach that lowered overall service quality.
Trianz implemented the following technology components for the client project:
R System and Kaggle were used to enable QA testing, advanced analytics, machine learning, and data science workflows. This was needed to build statistical models for the client.
PowerBI was used as a data visualization layer for interactive dashboards and reports relating to IT operations management metrics and KPIs.
IT Operations data was merged, centralizing data from numerous monitoring tools in a single unified location for ease of reporting.
Trianz conducted workshops with business and IT stakeholders to understand critical inter-departmental challenges relating to IT operations management and infrastructure visibility.
Sample data was then collated from numerous monitoring tools to provide insight on how to configure the new predictive analytics solution.
Data preparation took place alongside data cleansing within a Proof-of-Concept environment, showing the value of the new predictive analytics solution ready for stakeholder approval.
Then, three statistical models were created—ARIMA, Negative Binomial and Zero Inflation — to assist the client when predicting IT operations management incidents.
Next, data correlations were formed based on the Pearson Correlation Coefficient to derive linear relations between each cloud IT system.
Kaggle was then integrated with Microsoft PowerBI to enable interactive and visual dashboards that could be accessed on desktop and mobile.
Finally, the completed solution was presented to key stakeholders across the business.
Following this initiative, the global data center provider could forecast incidents and generate trend reports relating to IT operations management processes on its global server network.
It could also proactively forecast disk usage, network utilization, and memory usage when planning capacity expansions on its network.
Network events and IT incidents were continuously analyzed to generate patterns and trends, providing visibility and insight for future IT network improvements and mitigation efforts.
Finally, incident and event correlation offered unprecedented insight into the relationships between servers, networking equipment, software, and other areas.
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Our engagement with Trianz has now exceeded three years, and together we have delivered many significant initiatives in that time. Many of our successes could not have been achieved without our partnership. In many ways, Trianz has already put our products ahead of the curve.
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Trianz team worked side-by-side with us to transform our sales operations. Now, we have complete visibility into everything from our supply chain to sales and pricing. Our partnership with Trianz has been exceptional.
The team at Trianz worked tirelessly to propose a system that overcame our business challenges. Rising to the occasion, they simplified our processes, enhanced the system and increased productivity. There’s no doubt; our ongoing success was enabled by our partnership with Trianz.
Trianz commitment to taking end-to-end ownership of developing the e-commerce web app is exemplary. Their dedicated involvement was key to us garnering the advantages of automated test suite development and manual testing