As containers and Kubernetes redefine modern application management, they enable flexible, resource-efficient deployment across diverse infrastructures, whether on the cloud…
Proactively monitor your systems to prevent failures and ensure the reliability of your infrastructure.
Organizations can anticipate their future resource consumption by analyzing historical metrics from their infrastructure. For instance, if certain hosts were under-provisioned during a recent product launch, it becomes possible to forecast and provision additional CPU and memory for similar upcoming events. This strategy reduces pressure on critical systems and minimizes the risk of outages, which is vital for preventing revenue losses. By integrating this approach into their planning, businesses can ensure optimal performance and a satisfactory user experience during peak demand periods.
Depending on the maturity of your IS and your specific needs, we distinguish between several types of monitoring:
Monitoring the Performance and Availability of Hardware Components and Network Connections
Application Performance Evaluation: Analyzing Application Metrics and Business KPIs
Enables in-depth monitoring of end-to-end data flows across the interdependent components of your information system, achieving an optimal level of observability.
In cases where a network team requests supervision, infrastructure monitoring may suffice. However, for a more comprehensive observability approach, it is essential to connect the three types of monitoring. This enables an integrated and complete understanding of your information system’s performance and health.
Through a Quick Mapping of the Information System, Existing Supervision Processes, and Data Volume, the Goal is to Gain a Clear Vision of the Current State to Identify Optimization Opportunities.
Workshops for Defining and Understanding Requirements to Propose Suitable Tools Aligned with Business Context and Operational Constraints. Providing Necessary Expertise to Define a Strategy for Achieving Optimal Observability.
Deployment of the chosen solution, customization of data processing (infra, applications, businesses). The objective here is to build a data correlation and observability platform in order to optimize performance.
If you would like to discuss the supervision of your infrastructure with us
start here!
As containers and Kubernetes redefine modern application management, they enable flexible, resource-efficient deployment across diverse infrastructures, whether on the cloud…
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