o11y.wiki - A glossary of all terms related to Observability, starting from A to Z!
The inspiration for this project started from the desire to understand and document terms and concepts related to Observability in one single place... read more
Posts from the community tagged with observability...
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@mohammad_zaigam
shared a link, 1 year, 11 months ago
Technical Solutions Specialist, Logiq.ai
Top 5 Open-Source Observability Data Collectors in 2023
Fluentbit is an open-source log management tool that enables users to gather data from multiple sources, apply filters, and transmit it to compatible destinations.
Vector by Datadog is a data pipeline for observability that offers cost savings, advanced data enrichment, and enhanced data security.
Fluentd is a lightweight log management tool that supports a wide range of data sources and formats with high customizability.
Logstash is a robust logging tool used for managing logs with powerful transformation capabilities.
Syslog-ng offers tamper-proof storage and rapid search capabilities.
LOGIQ.AI provides reliable integration with open-source observability collectors and processors, enabling users to monitor the performance and health of their systems in order to support improved system performance, security, and overall business outcomes.
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@mohammad_zaigam
shared a link, 1 year, 11 months ago
Technical Solutions Specialist, Logiq.ai
What are the Top 5 DevOps Challenges?
The DevOps market is projected to hit $20.53 billion by 2026.
With the growing importance of DevOps, comes a growing set of challenges.
Explore the top 5 DevOps challenges related to observability, and how LOGIQ solves them.
The challenges are the complexity of distributed systems, high cardinality of data, siloed monitoring tools, alert fatigue, and real-time analysis and response.
LOGIQ offers a comprehensive observability platform that integrates seamlessly with service meshes and reduces alert noise through automation.
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@mohammad_zaigam
shared a link, 1 year, 11 months ago
Technical Solutions Specialist, Logiq.ai
Kubernetes Monitoring: Best Practices, Metrics and Tools
Kubernetes monitoring is the practice of observing and measuring the health and performance of a Kubernetes cluster and its components.
The main goal is to ensure the availability, reliability, and scalability of the cluster and the applications running on it.
Key metrics to measure include those related to clusters, nodes, pods, deployments, services, containers, and applications.
Best practices for monitoring K8S involve examining details in granular level data; gathering historical system data beyond metrics; understanding control plane monitoring; creating an instrumentation strategy with alerting; using a platform to run containers on physical/virtual machine clusters; utilizing Prometheus; selecting comprehensive Kubernetes monitoring tools.
Popular Kubernetes monitoring tools include Prometheus, Grafana, Fluentd, LOGIQ, and ELK Stack.
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@mohammad_zaigam
shared a link, 2 years 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.
