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Exploiting CI/CD with Style(lint): LOTP Guide

CI/CD is vulnerable toLiving Off the Pipeline(LOTP) attacks via tools like linters, formatters, build, and test tools—no need to modify workflows. Hacking depends on unexpected code execution, context files, plugins, environment variables... read more  

Exploiting CI/CD with Style(lint): LOTP Guide
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You’re not a platform team if you’re just managing infrastructure

Platform engineering? It's not just gift-wrapping infrastructure as a service. It's about handing devs the reins and saying, "Go wild." Think of it like an Internal Developer Platform (IDP), similar to theGoogle Cloud Platform. Here, users truly own their services. The result? Scalability soars, bot.. read more  

You’re not a platform team if you’re just managing infrastructure
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Grafana 12 release: observability as code, dynamic dashboards, new Grafana Alerting tools, and more

Grafana 12delivers a whammy withGit SyncandDynamic Dashboards, shaking up how teams tackle observability using newexperimental toolsthat simplify workflow automation.SQL Expressionsrevolutionize your data game, enabling data mashups that once seemed impossible. Meanwhile, the upgraded table visualiz.. read more  

Grafana 12 release: observability as code, dynamic dashboards, new Grafana Alerting tools, and more
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Systems Correctness Practices at Amazon Web Services

AWS tapsTLA+andP languageto hammer out service correctness. Bugs quiver and deadlines whistle past with formal methods wielded like a scalpel. EnterPObserve—this tool is the wizard that conjures log validation magic between design and production. AndP? It’s the S3 whisperer, driving sudden consisten.. read more  

Systems Correctness Practices at Amazon Web Services
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Announcing Pulumi Identity and Access Management (IAM)

Pulumi IAM crashes the party with its new lineup of granular roles and OIDC for CI/CD. Tighten up security, get in lockstep with Zero Trust principles, and glide into scalable governance. That's how you level up... read more  

Announcing Pulumi Identity and Access Management (IAM)
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Building Uber’s Multi-Cloud Secrets Management Platform to Enhance Security

Uber built a Secret Management Platform to consolidate vaults and automate secret monitoring and rotation. They use real-time and scheduled scanning to catch leaks early and reduce exposure. They also enable automatic rotation of20,000secrets per month on average, prioritizing certain types and plat.. read more  

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Mastering Terraform Variables: Complex Structures & Input Validation

Object variables inTerraformcrank up your code's modularity. They hand you structured, adaptable input—a game changer for scaling beasts likeEKS Nodegroupin the cloud... read more  

Mastering Terraform Variables: Complex Structures & Input Validation
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AWS: Introducing an agentic coding experience in Visual Studio and JetBrains IDEs

Amazon Q Developer just turbochargedVisual StudioandJetBrains IDEswith a nimble AI sidekick. This brainy assistant patches code, assembles projects, and whips up unit tests, slashing the drudgery that usually swallows developers' days. By juggling context, parsing files, and firing off commands all .. read more  

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WizOS: A New Enterprise Linux Built on Alpine’s Secure Foundation

WizOShits the scene as a rugged, Alpine-based Linux distro. It's like a fortress with stricter security and almost noCVEs. Perfect for container protection. But here's the twist: it choosesglibcfor that sweet, extra compatibility. On one hand, impressive. On the other, Alpine purists might side-eye .. read more  

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FinOps Foundation Launches New FinOps for AI Certification

$644 billionis set to flood generative AI by 2025. Yet figuring out the worth and taming costs is still cloudy—and not the fun, "find a silver lining" kind. Enter theFinOps Foundationwith their new rolling certification. For $500, they aim to transform AI spending into data-driven decisions and reso.. read more  

FinOps Foundation Launches New FinOps for AI Certification
GPT-5.4 is OpenAI’s latest frontier AI model designed to perform complex professional and technical work more reliably. It combines advances in reasoning, coding, tool use, and long-context understanding into a single system capable of handling multi-step workflows across software environments. The model builds on earlier GPT-5 releases while integrating the strong coding capabilities previously introduced with GPT-5.3-Codex.

One of the defining features of GPT-5.4 is its ability to operate as part of agent-style workflows. The model can interact with tools, APIs, and external systems to complete tasks that extend beyond simple text generation. It also introduces native computer-use capabilities, allowing AI agents to operate applications using keyboard and mouse commands, screenshots, and browser automation frameworks such as Playwright.

GPT-5.4 supports context windows of up to one million tokens, enabling it to process and reason over very large documents, long conversations, or complex project contexts. This makes it suitable for tasks such as analyzing codebases, generating technical documentation, working with large spreadsheets, or coordinating long-running workflows. The model also introduces a feature called tool search, which allows it to dynamically retrieve tool definitions only when needed. This reduces token usage and makes it more efficient to work with large ecosystems of tools, including environments with dozens of APIs or MCP servers.

In addition to improved reasoning and automation capabilities, GPT-5.4 focuses on real-world productivity tasks. It performs better at generating and editing spreadsheets, presentations, and documents, and it is designed to maintain stronger context across longer reasoning processes. The model also improves factual accuracy and reduces hallucinations compared with previous versions.

GPT-5.4 is available across OpenAI’s ecosystem, including ChatGPT, the OpenAI API, and Codex. A higher-performance variant, GPT-5.4 Pro, is also available for users and developers who require maximum performance for complex tasks such as advanced research, large-scale automation, and demanding engineering workflows. Together, these capabilities position GPT-5.4 as a model aimed not just at conversation, but at executing real work across software systems.