Aokumo helped a FinTech company reduce incidents by 70% and system downtime by 90% while improving recovery time.
The client’s monitoring and logging systems could not get them a holistic view of their massive IT infrastructure, causing frequent downtime, delayed maintenance, and SLA implications.
Aokumo helped a FinTech company reduce incidents by 70% and system downtime by 90% while improving recovery time.
faster incident response time
reduction in incidents
reduction in system downtime
faster recovery
The client processes thousands of financial transactions daily. They need to complete these transactions without delays and according to their SLA. However, due to legacy monitoring, logging, and alerting systems, they faced frequent incident rates, downtime, and business loss.
They wanted to transform their legacy monitoring and logging system with cloud-native technologies to ensure system availability and business continuity. They also needed real-time alerting systems to take proactive actions and recover faster from an incident.
Aokumo implemented modern monitoring and logging technologies and helped the client improve its SLA, system stability, and resiliency.
The existing monitoring and logging tools could not capture all relevant data points, making it hard to identify problems and establish the system's current state.
Monitoring was handled by a third-party vendor, which was costly.
Longer recovery time due to inefficiencies of legacy tools in providing complete visibility.
Lack of holistic view about system and infrastructure coupled with unreliable and delayed alerting impacted business SLA.
We implemented Prometheus capturing multi-dimensional data with real-time visualizations for effective monitoring.
We implemented the ELK stack using AWS-managed Elasticsearch for interactive log analytics with real-time monitoring.
Integrated Jaeger for tracing and monitoring the transactions and Kibana for visualizing Elasticsearch data.
We enabled real-time alerting for errors and exceptions with configurable escalation flow across the system.
Log analytics, maximum coverage, and real-time alerting significantly reduced the incident response time.
Proactive monitoring and remediations reduced unplanned events and incidents by more than 70%.
Real-time and proactive alerting reduced the downtime risks significantly.
Using automation and comprehensive incident reports reduced debugging and bug fixing time.
- A fully managed service that makes it easy to deploy, operate, and scale Elasticsearch at scale with zero downtime.
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- A highly scalable, fast, and durable solution for any data type object-level storage accessed anywhere via the Internet through the Amazon Console and S3 API.
- A package of open source technologies for collecting, searching, analyzing, and visualizing large data volumes generated by diverse data sources.
- An open-source monitoring and alerting solution for microservices and containers that provides flexible queries and real-time notifications.
- An open-source dashboard visualization tool that allows users to ingest data from many data sources, query this data and display it on beautiful, customizable charts for easy analysis.
- An open-source software for tracing transactions between distributed services used to monitor and troubleshoot complex microservices environments.
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