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Dynatrace launches automatic end-to-end observability via traces for AWS Lambda (Preview program)

Dynatrace

This means, you don’t need to change even a single line of code in the serverless functions themselves. This example shows that the checkout function running in the EU-Central-1 region processes between 20 and 80 invocations per minute. Before you begin, be sure to sign-up for the Preview program. Set up in 3 easy steps.

Lambda 345
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What is infrastructure as code? Discover the basics, benefits, and best practices

Dynatrace

The IT world is rife with jargon — and “as code” is no exception. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. ” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example.

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‘Security as code’ demands proactive DevSecOps

Dynatrace

This is known as “security as code” — the constant implementation of systematic and widely communicated security practices throughout the entire software development life cycle. To mitigate security risks, comply with regulations, and align with good governance requires a coordinated effort among people, processes, and technology.

Code 237
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AI Flame Graphs

Brendan Gregg

The green frames are the actual instructions running on the AI or GPU accelerator, aqua shows the source code for these functions, and red (C), yellow (C++), and orange (kernel) show the CPU code paths that initiated these AI/GPU programs. A flame graph is a visualization I invented in 2011 for showing sampled code stack traces.

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VMware Security Advisory VMSA-2025-0004: Quickly find, remediate, and automate

Dynatrace

CVE-2025-22224 describes a time-of-check time-of-use (TOCTOU) vulnerability that leads to an out-of-bounds write , where a program writes data past the end or before the beginning of the intended buffer. What is CVE-2025-22224? The CVE-2025-22224 vulnerability scores in the Critical severity range with a maximum CVSSv3 base score of 9.3.

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Dynatrace OpenPipeline: Stream processing data ingestion converges observability, security, and business data at massive scale for analytics and automation in context

Dynatrace

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. Data is then dynamically routed into pipelines for further processing. Commitment to privacy.

Analytics 272
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Real World Programming with ChatGPT

O'Reilly

This post is a brief commentary on Martin Fowler’s post, An Example of LLM Prompting for Programming. There’s a lot of excitement about how the GPT models and their successors will change programming. At a glance, it’s clear that the prompts Xu Hao uses to generate working code are very long and complex.