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@mohammad_zaigam shared a post, 1 year, 7 months ago
Technical Solutions Specialist, Logiq.ai

THE 5 STAGES OF THE OBSERVABILITY MATURITY MODEL

The unprecedented growth of data in recent years has led to a demand for evolution in traditional monitoring practices.

The current observability maturity model is a good solution but needs further augmentations.

The widely accepted model includes the following stages:

1) Monitoring (Is everything in working order?)

2) Observability (Why is it not working?)

3) Full-Stack Observability (What is the origin of the problem, and what are its consequences?)

4) Intelligent Observability (How to predict anomalies and automate response?)

LOGIQ is supporting the next stage in the model i.e, Federated Observability. In other words, data availability for consumers with on-demand convenience.

The Observability Maturity Model.png
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@mohammad_zaigam shared a link, 1 year, 7 months ago
Technical Solutions Specialist, Logiq.ai

Federated Observability: The Key to Achieving Business Agility

Organizations prioritize observability solutions to tackle rising cloud expenses and pinpoint underlying factors responsible for cost increases.

LOGIQ.AI provides topology-based federated observability, enabling organizations to achieve full-stack visibility, find root causes of problems quickly, and prevent issues before they become costly.

The benefits of federated observability include improved scalability, enhanced security, better collaboration, greater flexibility, increased cost-effectiveness, and improved decision-making.

Logiq is developing an observability maturity model to help organizations achieve open observability, offering tools that simplify data analysis and handling while leveraging existing teams.

Federated Observability: The Key to Achieving Business Agility
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@mohammad_zaigam shared a link, 1 year, 8 months ago
Technical Solutions Specialist, Logiq.ai

Log Management: 101 (Best Practices and Tools)

Log management is collecting, monitoring, and analyzing log data to gain insights into an organization’s operations.

Logs are usually generated by different sources such as operating systems, applications, and network devices and stored in other formats.

Log management tools include log aggregators, log analysis platforms, and security information and event management (SIEM) systems.

Logs provide crucial information about system performance, resource utilization, user behavior, and other important metrics.

Standard log management tools include open-source (i.e., Graylog/GoAccess/Logstash), commercial (LOGIQ/Sematext Cloud/Coralogix), and cloud-based (LogDNA/Amazon CloudWatch/Loggly) solutions.

Benefits of proper log management include Centralized log aggregation for unified data storage, better customer experience through predictive modeling; advanced network analytics; increased security; improved observability & visibility; cost reduction & improved integration & agility via LOGIQ’s no-indexing solution.

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Log Management: 101 (Best Practices and Tools)
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