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.

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.

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

LOGIQ.AIprovides 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.