Bring together data from a variety of sources, including logs and metrics enabling an agile & streamlined IT Operational Analytics ecosystem
Being a leader in the financial sector – any slight collapse in our client’s IT infrastructure would result in losses of the huge magnitude. Our Client’s IT Infrastructure Landscape which handled over 50 million events / day needed a single pane of glass to monitor the IT Infrastructure status across various sources – data center, applications, servers, data bases & edge devices in addition to:
Alerting for detecting failure and pre-empting breakdowns
Real-Time Health monitoring
Integration with other monitoring systems
SLA Computation
We set up an infrastructure monitoring solution powered by Elastic to unify metrics, event, logs data from diverse sources – Netbackup, VMWare, Nutanix, Oracle, Containers etc.
We used the following Elastic Stack Components for Infrastructure Monitoring:
Elasticsearch - Real-time, distributed storage, search, and analytics engine. Elasticsearch excels at indexing streams of semi-structured data, such as logs or metrics.
Beats - Open source data shippers that are installed as agents on servers to send operational data to Elasticsearch.
Kibana - Open source analytics and visualization platform designed to work with Elasticsearch. Kibana was used to search, view, and interact with data stored in Elasticsearch. This enabled advanced data analysis and visualization of data in a variety of charts, tables, and maps.
Infrastructure app in Kibana - It provides a dedicated user interface for visualizing the health of servers, containers, and services in your infrastructure.
Logs app in Kibana - Provides a compact, customizable display for viewing and analyzing real-time and historic log data.
