Understanding Monitoring Tools

If you care about operational excellence when it comes to your IT infrastructure, the role of monitoring systems is pivotal. As we navigate through the myriad of available monitoring tools, it becomes essential to understand the distinct architectures, styles, and focal points of various monitoring solutions, as well as the…

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Faster Dynamically Quantized Inference with XNNPack

Posted by Alan Kelly, Software Engineer We are excited to announce that XNNPack’s Fully Connected and Convolution 2D operators now support dynamic range quantization. XNNPack is TensorFlow Lite’s CPU backend and CPUs deliver the widest reach for ML inference and remain the default target for TensorFlow Lite. Consequently, improving CPU…

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How a password manager can help organizations pass penetration tests

Blog How a password manager can help organizations pass penetration tests Companies entrust sensitive information to their systems, making them a prime target for cyberattacks. Penetration testing, or pen testing, is a defensive strategy to assess an organization’s security posture. It simulates a cyberattack to identify vulnerabilities in a company's…

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ORA-04030 out of process memory when trying to allocate – 3 Step Resolution

Text Size 100%: - + ORA-04030: out of process memory when trying to allocate bytes, occurs when an Oracle process runs out of operating system memory. The error is caused by either: Exhausting total machine physical memory Exhausting designated space in the Program Global Area (PGA). Follow these step-by-step instructions…

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Where is the Complexity?

Text Size 100%: - + One of the common arguments I hear about avoiding XA distributed transactions is due to their complexity.  In this series of blog posts I’ll examine that claim by looking at three versions of the same application.  The first version of the application ignores data consistency…

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Real-time predictions for ML apps with Redpanda Data Transforms

In the world of machine learning, change is the only constant. The traditional reliance on large, batch-processed datasets is giving way to a more dynamic, real-time data approach. This evolution is driven by the understanding that the ability to process and analyze data in real time is not just an…

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