The leadership took a decision to become Harwdare/OS/Operation/vendor agnostic and achive scalability and reliability across the organisation. We helped them with all the technologies, training to make that happen. Our open platform helped them to become complete software defined, automate all operations. We helped them to learn to manage IT in most modern way.
Reliance Jio Infocom Limited is a leading mobile network operator in India. We all know that their network is enormous and immense, and too often the operations team has to handle colossal workflows at all times of the day, the workloads become very intense and affect the performance of the data. Reliance Jio operations get piled up with tedious tasks every minute and extensively needs real-time business processes to monitor their workloads. From new service activations to monitoring tons of data, the telecom company had a tough time in doing RCA with its existing licensed monitoring applications. While at it, when dealing with a mammoth telecom company and assuring them that we can handle and provide a solution which is 100% scalable was a tough part for us. Once we succeeded in gaining their trust, we moved on to analyze and plan a panacea that was expected by the telecom company.
Synectiks providing a customized solution and targeting the pain points of Large Motor
When Large Motor Company approached Synectiks, they were handling multiple tasks with traditional infrastructure model. They have reached a point on the edge where they can no longer withstand the outage issues that rippled their business to two folds and finally resulted in high potential cost for their business. Initially, Large Motor Company’s infrastructure was not tailored as per their requirements that resulted in maintaining huge operations effort to manage their data centers. They were expecting quick and accurate releases to meet their growing business needs. With almost high CAPEX and OPEX, their IT budget was already skyrocketing and was going beyond their expectations. Their primary focus areas were on scalability, agility, and reliability issues. Once fixed, they can outperform in their core areas and compete in their line of business for better business prospects.
How did we handle the problem and customized a tool for better visibility?
We used Prometheus a powerful systems & service monitoring tool and Influxdb as a time series database, with Grafana metric analysis for visualizing time series data. We hosted the entire technology stack in Kubernetes platform so that it can scale elastically with minimal operations. Intelligent plugin scripts were embedded to work with Prometheus data collection engine and extract intuitive data from the large dataset. Smart analytics were built on intelligent data stored in time series database and this resulted in important business monitoring views.