As DSPs transition towards multi-layered microservices architecture and cloud-native applications, traditional monitoring tools have shown the following limitations.
- Difficulty to get unified analysis with scattered monitoring toolsets
- Challenges in correlation and isolation of problems hamper DSPs to deliver on SLA/SLO
- Inability to scale with modern cloud environments
- Inflexibility to assist in the resolution of unforeseen events
DSPs need to look beyond traditional monitoring and make their digital business more observable and easier to understand, control, and fix. The concept of observability enables DSPs to gain critical insights into the performance of today’s complex cloud-native environments. Observability is the practice of instrumenting systems with tools to gather actionable data that answers not only the “when” of an error or issue, but more importantly—the “why”.
While leading DSPs have started implementing observability techniques, many face various implementation challenges and are not able to realize the actual benefit.
Download this insight to know more about:
- An efficient observability implementation strategy that can help DSPs mitigate implementation challenges
- How a DSP can gain critical insights from unified data that are previously siloed
- How a leading DSP in Europe improved productivity by 40% after implementing observability techniques using the proposed strategy
- Srinivasan Murugesan
- Sumit Thakur
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