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Migrating Uber’s Compute Platform to Kubernetes: A Technical Journey

Uber dumped Mesos and hitched its ride to Kubernetes, rolling out a fleet of clusters across regions with sleek automation. They didn’t just switch platforms — they rewired the engine room. Thanks to crafty scheduling tweaks and sidecar tricks, devs didn’t feel a bump. All gas, no brakes on their cl.. read more  

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Kubectl Get Hacked

Kubeconfigfiles, those sneaky little devils, can throw open the door to peril inAWS EKS. They hand over the keys to the kingdom by sneaking in unapproved exec directives. If you're not paying attention, you risk a security meltdown. Dig deep into these files. Get lazy, and you're practically begging.. read more  

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Backup and Restore Kubernetes Volumes with Longhorn and MinIO

AutomateKubernetesbackups by harnessingLonghornwizardry and storing withMinIO. Even with manual steps, this bolsters resilience. In production, make automation and security top priorities—prepared to tango with real-world catastrophes... read more  

Backup and Restore Kubernetes Volumes with Longhorn and MinIO
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Understanding the threat landscape for Kubernetes and containerized assets

Kubernetes packs a punch, but it drags along some gnarly new security headaches. Wrangling those containerized risks? That's the real rodeo... read more  

Understanding the threat landscape for Kubernetes and containerized assets
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Amazon EKS introduces node monitoring and auto repair capabilities

Amazon EKSjust leveled up. Node monitoring and auto repair now save you from node drama, kicking out defective nodes without breaking a sweat.NMAhandles the heavy lifting, even throwing in GPU checks, making it a game-changer forML workloads... read more  

Amazon EKS introduces node monitoring and auto repair capabilities
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How Discord Indexes Trillions of Messages

Discord's revamped search engine leans onKubernetesand theElastic Kubernetes Operatorto shake up its query structure. No more lumbering clusters. They’ve split them into smaller, sprightlier versions. With this new trick, Discord can nowefficiently index and search your DMs, thanks to savvy sharding.. read more  

How Discord Indexes Trillions of Messages
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Top 6 System Design and API Design Interview Courses for Experienced Developers

System Design is hard but not impossible, these courses will help you to learn System Design and API design essentials for interviews

30 Essential System Design Concepts
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@anjali shared a link, 1 year, 1 month ago
Customer Marketing Manager, Last9

Easily Query Multiple Metrics in Prometheus

Learn how to efficiently query multiple metrics in Prometheus, simplifying your monitoring workflow and enhancing visibility into your systems.

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@laura_garcia shared a post, 1 year, 1 month ago
Software Developer, RELIANOID

Firewall Load Balancing

🔐 Why Firewall Load Balancing (FWLB) Is a Must in Modern Data Centers In today’s IT landscape, ensuring the security of your network, servers, and applications is non-negotiable. As connectivity demands rise, having a scalable and highly available firewall infrastructure becomes critical—and this is..

Knowledge base_What is Firewall Load Balancing (FWLB)_RELIANOID
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@anjali shared a link, 1 year, 1 month ago
Customer Marketing Manager, Last9

Apache Logs Explained: A Guide for Effective Troubleshooting

Learn how to read and analyze Apache logs to troubleshoot issues effectively and keep your web server running smoothly.

Debug Logging_ A Comprehensive Guide for Developers
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.