SRE? Understand vendor lock-in for your managed monitoring service.
Vendor lock-in refers to a situation where the cost of switching to a different vendor is so high that the customer is essentially stuck with the original vendor
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Vendor lock-in refers to a situation where the cost of switching to a different vendor is so high that the customer is essentially stuck with the original vendor

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Serverless is one of the significant trends of the moment in software development and deployment. A promising technology, Serverless Computing is developing very quickly in companies. In this concept, the cloud provider is fully responsible for launching and executing the code of your applications. A Serverless platform ensures that the resources necessary for its optimal operation are available.

Grafana 12.3 enhances user experience with interactive learning, improved logs visualization, and a critical security fix, alongside new features like dashboard image export and expanded data source support.

A short guide for instrumenting your Python app with the Prometheus Python Client library


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
Difference between Streaming Aggregations and Recording Rules

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.
