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The global contrast media market is gaining significant traction, with a projected growth from USD 6.83 billion in 2025 to USD 11.88 billion by 2035, reflecting a Compound Annual Growth Rate (CAGR) of 5.7%. Contrast media, essential for enhancing diagnostic imaging, plays a crucial role in improving the clarity of …
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Discover how agentic AI in software testing is revolutionizing the QA landscape by enabling autonomous decision-making, improving test efficiency, and accelerating delivery cycles. Explore the future of intelligent QA with enhanced adaptability and precision.
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From pods stuck in CrashLoopBackOff to services mysteriously failing, Kubernetes can throw curveballs when you least expect it. In this article have discussed 5 prime errors of K8s and also shared caouses of the errors and troubleshooting steps.
Resource Exhausted Error: Occurs when pods exceed allocated CPU or memory resources.
CrashLoopBackOff: Pods crash repeatedly due to application errors or misconfigurations.
ImagePullBackOff: Kubernetes fails to pull container images, often due to incorrect image names or authentication issues.
Pending Pods: Pods remain unscheduled because of insufficient resources or node selector constraints
Service Not Found: Services are unreachable due to misconfigurations or missing endpoints.
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Learn the key differences between RUM and synthetic monitoring, and how each approach helps track performance in real-time and preemptively.
Learn how to integrate OpenTelemetry into your React apps for improved observability and better performance tracking.
Learn how to effectively monitor HBase performance with key metrics, tools, and best practices to ensure your cluster runs smoothly.
Learn the difference between Correlation IDs and Trace IDs, and how they help track requests and diagnose issues in distributed systems.
OpenTelemetry histograms help you go beyond averages. Learn how they work and why they matter for real-world observability in DevOps.
Understand why endpoint monitoring is crucial for tracking and securing key touchpoints between services, users, and security defenses.
Learn how to add observability to your GraphQL APIs using OpenTelemetry—track requests, monitor performance, and troubleshoot faster.
Learn how to use OpenTelemetry custom metrics to track what truly matters in your systems—and build more reliable, observable services.
