InfoQ Homepage Monitoring Content on InfoQ
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/articles/change-metrics-system-reliability/en/smallimage/change-metrics-systems-reliability-thumbnail-1772787617464.jpg)
Change as Metrics: Measuring System Reliability through Change Delivery Signals
System changes are the primary driver of production incidents, making change-related metrics essential reliability signals. A minimal metric set of Change Lead Time, Change Success Rate, and Incident Leakage Rate assesses delivery efficiency and reliability, supported by actionable technical metrics and an event-centric data warehouse for unified change observability.
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/articles/proactive-autoscaling-edge-kubernetes/en/smallimage/proactive-autoscaling-edge-kubernetes-thumbnail-1770721062673.jpg)
Proactive Autoscaling for Edge Applications in Kubernetes
Kubernetes often reacts too late when traffic suddenly increases at the edge. A proactive scaling approach that considers response time, spare CPU capacity, and container startup delays can add or remove instances more smoothly, prevent sudden spikes, and keep performance stable on systems with limited resources.
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/articles/agent-assisted-intelligent-observability/en/smallimage/agent-assisted-intelligent-thumbnail-1769595476571.jpg)
From Alert Fatigue to Agent-Assisted Intelligent Observability
As systems grow, observability becomes harder to maintain and incidents harder to diagnose. Agentic observability layers AI on existing tools, starting in read-only mode to detect anomalies and summarize issues. Over time, agents add context, correlate signals, and automate low-risk tasks. This approach frees engineers to focus on analysis and judgment.
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/articles/causal-reasoning-observability/en/smallimage/causal-reasoning-observability-thumbnail-1756372623637.jpg)
How Causal Reasoning Addresses the Limitations of LLMs in Observability
Large language models excel at converting observability telemetry into clear summaries but struggle with accurate root cause analysis in distributed systems. LLMs often hallucinate explanations and confuse symptoms with causes. This article suggests how causal reasoning models with Bayesian inference offer more reliable incident diagnosis.
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/articles/backend-finops-cost-efficiency/en/smallimage/thumbnail-backend-finops-cost-efficiency-1754301935666.jpg)
Backend FinOps: Engineering Cost-Efficient Microservices in the Cloud
Backend FinOps integrates financial discipline into microservices, crucial for cutting cloud costs. Challenges such as resource fragmentation and cold starts underscore the need for intelligent design, effective language choice, robust tagging, and automation. Implementing FinOps via IaC, CI/CD checks, and dynamic autoscaling (e.g., Karpenter) ensures sustained efficiency.
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/articles/cloud-prem-architecture-challenges/en/smallimage/cloud-prem-architecture-challenges-thumbnail-1750753890389.jpg)
Engineering Principles for Building a Successful Cloud-Prem Solution
Discover how Cloud-Prem solutions combine cloud efficiency with on-premise control, meeting data sovereignty and compliance demands while optimizing operational costs and enhancing customer security.
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/articles/apache-kafka-stretch-cluster-failures/en/smallimage/apache-kafka-stretch-cluster-failures-thumbnail-1750152098922.jpg)
Analyzing Apache Kafka Stretch Clusters: WAN Disruptions, Failure Scenarios, and DR Strategies
Proficient in analyzing the dynamics of Apache Kafka Stretch Clusters, I assess WAN disruptions and devise effective Disaster Recovery (DR) strategies. With deep expertise, I ensure high availability and data integrity across multi-region deployments. My insights optimize operational resilience, safeguarding vital services against service level agreement violations.
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/articles/apiops-iac-reshaped-api-strategy/en/smallimage/apiops-iac-reshaped-api-strategy-thumbnail-1749546152771.jpg)
We Took Developers out of the Portal: How APIOps and IaC Reshaped Our API Strategy
Dynamic API strategist with expertise in transforming legacy management into efficient APIOps frameworks using Infrastructure as Code (IaC). Proven track record in automating API lifecycles, enhancing security, and fostering developer productivity through CI/CD integration. Adept at driving operational excellence and consistency across environments, enabling rapid deployment and innovation.
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/articles/culture-trends-2025/en/smallimage/infoq-trends-report-small-logo-1746021971556.jpeg)
InfoQ Culture and Methods Trends Report - 2025
This report summarizes how the InfoQ Culture and Methods editorial team sees the ongoing and emergent trends in the culture and methods space.
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/articles/flow-metrics-microservices/en/smallimage/flow-metrics-microservices-thumbnail-1742824163851.jpg)
Applying Flow Metrics to Design Resilient Microservices
Software design with resilience is an acknowledgement to the reality that everything fails. We put metrics in place to help us detect and resolve such problems and failures. Flow metrics, commonly used to measure how well teams deliver software, can be used to measure and improve system resilience.
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/articles/building-observable-machine-learning-systems/en/smallimage/beyond-notebook-thumbnail-1741852201404.jpg)
Beyond Notebook: Building Observable Machine Learning Systems
In this article, the author discusses a machine learning pipeline with observability built-in for credit card fraud detection use case, with tools like MLflow, FastAPI, Streamlit, Apache Kafka, Prometheus, Grafana, and Evidently AI.
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/articles/secure-ai-powered-early-detection-system/en/smallimage/designing-architecture-ai-models-thumbnail-1740475990469.jpg)
Secure AI-Powered Early Detection System for Medical Data Analysis & Diagnosis
In this article, the author discusses the techniques for securing AI applications in healthcare with an use case of early detection system for medical data analysis & diagnosis. The proposed layered architecture includes application components to support secure computation, ai modeling, governance and compliance, and monitoring and auditing.