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@rafidbottler created an organization WPWeb Infotech , 5ย days, 18ย hours ago.
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@cloudsignals shared a post, 6ย days, 2ย hours ago
Director - Cloud Engineering, osttra

From Hunters to Algorithms: How AI Is Rewriting the Rules of Vulnerability Discovery

Security has entered its algorithmic era. AI is rapidly transforming vulnerability discovery by scanning code at scale, uncovering hidden patterns, and accelerating detection beyond human limits. For maintainers, this means shifting from reactive patching to intelligent triage and secure-by-design systems. For bug hunters, success now lies in combining AI speed with human creativity to uncover deeper, context-driven flaws. The future of security isnโ€™t human vs machineโ€”itโ€™s human amplified by machine.

AI-driven vulnerability discovery concept showing a split human and artificial intelligence face analyzing cybersecurity threats, with dashboards displaying SQL injection detection, risk score, and automated code analysis in a futuristic interface.
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@koukibadr shared a post, 6ย days, 10ย hours ago
Mobile Developer, Nventive

Optimizing Performance in Android Apps with Kotlin

Optimizing the performance of your Android applications is crucial for providing a smooth and responsive user experience. Kotlin, with its concise syntax and powerful features, offers several ways to enhance the performance of your apps. In this article, we'll explore various techniques and best pra..

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@laura_garcia shared a post, 6ย days, 19ย hours ago
Software Developer, RELIANOID

๐—–๐—ต๐—ถ๐—น๐—ฒ ๐—ฎ๐—ฐ๐—ฐ๐—ฒ๐—น๐—ฒ๐—ฟ๐—ฎ๐˜๐—ฒ๐˜€ ๐—ถ๐˜๐˜€ ๐˜๐—ฒ๐—ฐ๐—ต๐—ป๐—ผ๐—น๐—ผ๐—ด๐—ถ๐—ฐ๐—ฎ๐—น ๐—น๐—ฒ๐—ฎ๐—ฝ

๐—–๐—ต๐—ถ๐—น๐—ฒ ๐—ฎ๐—ฐ๐—ฐ๐—ฒ๐—น๐—ฒ๐—ฟ๐—ฎ๐˜๐—ฒ๐˜€ ๐—ถ๐˜๐˜€ ๐˜๐—ฒ๐—ฐ๐—ต๐—ป๐—ผ๐—น๐—ผ๐—ด๐—ถ๐—ฐ๐—ฎ๐—น ๐—น๐—ฒ๐—ฎ๐—ฝ๐Ÿš€ More than ๐Ÿณ๐Ÿฌ% ๐™ค๐™› ๐˜พ๐™๐™ž๐™ก๐™š๐™–๐™ฃ ๐™ค๐™ง๐™œ๐™–๐™ฃ๐™ž๐™ฏ๐™–๐™ฉ๐™ž๐™ค๐™ฃ๐™จ are actively driving projects around ๐—”๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ถ๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—น๐—น๐—ถ๐—ด๐—ฒ๐—ป๐—ฐ๐—ฒ, ๐—ฎ๐—ฑ๐˜ƒ๐—ฎ๐—ป๐—ฐ๐—ฒ๐—ฑ ๐—ฐ๐˜†๐—ฏ๐—ฒ๐—ฟ๐˜€๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜†, ๐—ฎ๐˜‚๐˜๐—ผ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป, ๐—ฎ๐—ป๐—ฑ ๐—ป๐—ฒ๐˜…๐˜-๐—ด๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฐ๐—ผ๐—ป๐—ป๐—ฒ๐—ฐ๐˜๐—ถ๐˜ƒ๐—ถ๐˜๐˜†. This rapid transformationโ€”supported by strong public policies, 5G deployment, and long-..

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@alok00k shared a post, 6ย days, 19ย hours ago

Integration Testing: The Bridge Between Unit Tests and Real-World Software Reliability

#Testingย  #integra...ย  #sdlcย  #keployย  #automat...ย 

Integration testing verifies that different parts of an applicationโ€”such as APIs, databases, and servicesโ€”work correctly together. It helps catch real-world issues that unit tests miss, like broken data flow or failed service communication. Essential for modern apps, especially microservices, it improves reliability, reduces production bugs, and should be automated in CI/CD pipelines.

ChatGPT Image Apr 27, 2026, 02_56_29 PM
Grafana Tempo is a distributed tracing backend built for massive scale and low operational overhead. Unlike traditional tracing systems that depend on complex databases, Tempo uses object storageโ€”such as S3, GCS, or Azure Blob Storageโ€”to store trace data, making it highly cost-effective and resilient. Tempo is part of the Grafana observability stack and integrates natively with Grafana, Prometheus, and Loki, enabling unified visualization and correlation across metrics, logs, and traces.

Technically, Tempo supports ingestion from major tracing protocols including Jaeger, Zipkin, OpenCensus, and OpenTelemetry, ensuring easy interoperability. It features TraceQL, a domain-specific query language for traces inspired by PromQL and LogQL, allowing developers to perform targeted searches and complex trace-based analytics. The newer TraceQL Metrics capability even lets users derive metrics directly from trace data, bridging the gap between tracing and performance analysis.

Tempoโ€™s Traces Drilldown UI further enhances usability by providing intuitive, queryless analysis of latency, errors, and performance bottlenecks. Combined with the tempo-cli and tempo-vulture tools, it delivers a full suite for trace collection, verification, and debugging.

Built in Go and following OpenTelemetry standards, Grafana Tempo is ideal for organizations seeking scalable, vendor-neutral distributed tracing to power observability at cloud scale.