2025-12-23 00:23
🔍 Troubleshooting user journeys on the Grab app can be complex, akin to finding a needle in a haystack. Developers face challenges in accurately tracking user interactions due to numerous UI components. 📊 The traditional approach often led to incomplete data, hindering effective issue resolution and increasing operational costs. 💡 The introduction of the AutoTrack SDK marks a significant advancement. This system tracks application states, user interactions, and UI screens in real-time,...
2025-12-22 23:39
🚀 In a recent Engineering Energizers Q&A, Shirel Vaiman from Salesforce discussed how Data 360 achieved a remarkable milestone of 1 million IPs without downtime. The team tackled AWS's 250,000-IP limit by employing prefix delegation and custom observability tools. Their focus was on expanding network capacity while ensuring reliability and security for hyperscale data workloads. Key challenges included AWS’s strict limits, increased workload demands, and Hyperforce's architectural...
Scott Nyberg
2025-12-22 17:00
🚀 HashiCorp's SE team launched "Demos done right" (DDR), a self-service demo infrastructure platform powered by Terraform. This initiative addresses demo sprawl, reducing spin-up time from 8-10 hours to under 10 minutes. Key outcomes include: - $12M+ in influenced ACV - Over 70% adoption rate - 800+ hours saved monthly DDR enhances efficiency and user experience for solutions engineers. #HashiCorp #Terraform #DevOps #Innovation #Efficiency
Bharath Ramanathan
2025-12-22 14:00
Cloudflare has developed a maintenance scheduler using Workers to enhance the safety of data center operations globally. 🌍 With over 330 data centers, managing maintenance manually proved challenging. The new system automates oversight, reducing the risk of conflicts during hardware updates. ⚙️ This scheduler analyzes multiple metrics to ensure critical services remain reliable, avoiding potential downtime for customers. 🔒 Learn more about how this technology is transforming maintenance...
Michael Hoffmann
2025-12-22 13:00
We've streamlined our internal text-to-SQL agent, d0, by removing 80% of its tools. After months of development, we found the original setup to be slow and complex. By simplifying the process to just one tool—executing bash commands—we achieved a 100% success rate. This change led to faster responses and reduced maintenance. #TechInnovation #Efficiency #AI #Productivity #DataManagement
Andrew Qu
2025-12-22 00:00
CrowdStrike is advancing cybersecurity with custom large language models (LLMs) designed to tackle emerging threats. 🔐 Their approach, highlighted in the CrowdStrike 2025 Global Threat Report, focuses on training LLMs using high-performance, distributed computing. This infrastructure is crucial to address the unique challenges in the cybersecurity landscape. 🛡️ CrowdStrike shared insights at the Google Cloud Next 2025 conference, where they were recognized as the 2025 Google Cloud Security...
Andrei Preda - Alexandru Dinu - Florian Stortz - Nathan Nusaputra - Catalin-Andrei Stan
2025-12-21 00:00
🚨 Important Update for etcd Users! 🚨 When upgrading to etcd v3.6, always start with v3.5.26 or later. This step ensures automatic repair of your cluster and prevents the issue of "zombie members," which can disrupt operations. To upgrade safely: 1️⃣ Update to v3.5.26+ 2️⃣ Confirm all members are healthy 3️⃣ Proceed to v3.6 If you can't access v3.5.26, delay your upgrade. Stay informed! 🔍 #etcd #UpgradeGuide #ClusterManagement #TechTips #DatabaseManagement
2025-12-19 17:35
Meta recently introduced DrP, a root cause analysis platform that automates incident investigations. With over 300 teams using DrP, it performs 50,000 analyses daily, reducing the mean time to resolve incidents by 20-80%. Key features include an expressive SDK for creating analyzers, a scalable backend for executing them, and seamless integration with existing workflows. Learn more about how DrP enhances system reliability! 🔍💻⚙️ #Meta #RootCauseAnalysis #IncidentManagement #TechInnovation...
2025-12-19 17:00
🚀 Exciting advancements in computational chemistry are here! NVIDIA has introduced the ALCHEMI Toolkit-Ops to enhance atomistic simulations using machine learning interatomic potentials (MLIPs). This toolkit addresses the challenges posed by traditional CPU-centric simulation tools. ALCHEMI offers GPU-accelerated operations, enabling faster and more efficient simulations in chemistry and materials science. It includes a modular API for seamless integration with existing simulation packages....
Justin S. Smith
2025-12-19 00:00
🚀 The article explores CrowdStrike's method for training AI agents in Security Operations Centers (SOCs). With AI adversaries evolving rapidly, traditional manual processes are becoming inadequate. The article emphasizes the need for reliable SOC agents that can accurately triage and investigate threats. CrowdStrike's approach focuses on science-backed training, rigorous testing, and continuous refinement to ensure agents can operate effectively in high-stakes environments. Key criteria for...
Ted Driggs - Chase Midler
2025-12-18 18:00
🔍 Data architecture plays a crucial role in supporting agentic systems. Data teams that succeeded in the SaaS era made key decisions such as adopting cloud-first operations and maintaining visibility over costs. These practices are now essential for managing AI transitions effectively. Agents, as new users, require unique support. Unlike traditional users, they demand adaptable, isolated environments. The article outlines four architectural factors necessary for scaling operations to meet...
Max Liu
2025-12-18 18:00
🚀 Dropbox Dash is leveraging AI to enhance how we search and organize our work. By using a feature store, Dash ranks and retrieves relevant files quickly, adapting to user behavior across various content types. This system is essential for effective collaboration and improves access to important documents and conversations. The development of this feature store was tailored specifically for Dash, addressing unique infrastructure challenges and ensuring speed and efficiency. #DropboxDash #AI...
Jason Shang,Artem Nabirkin
2025-12-18 16:00
Observability is key to understanding system performance and identifying issues. Many enterprises adopt observability in silos, focusing on specific areas like application traces or Kubernetes metrics. This article emphasizes the importance of an end-to-end observability framework from Day 1. 🖥️🔍 A demo application showcases how to collect telemetry across application layers, Kubernetes, and CI/CD pipelines to enhance troubleshooting and system health. Key components include using...
Khushboo Nigam
2025-12-18 14:00
Uber has implemented billion-scale vector search using OpenSearch. The article highlights key optimizations aimed at enhancing search efficiency, scalability, and reliability, particularly for handling massive datasets. These innovations reflect Uber's commitment to advancing search technology in data-intensive environments. 🔍🚀💡 #OpenSearch #BigData #VectorSearch #Uber #TechInnovation
2025-12-18 07:01
🌐 The advancement of quantum computing poses risks to traditional cryptography. Red Hat OpenShift Service Mesh 3.2 introduces post-quantum cryptography (PQC) to enhance security against these threats. 🔑 Key algorithms like lattice-based and code-based cryptography are designed to resist both classical and quantum attacks. Migrating to AES-256 is recommended to safeguard symmetric encryption. 🚀 Organizations are urged to prepare now, as large-scale quantum computers may emerge in the next...
Jacek Ewertowski
2025-12-18 00:00
🚀 Exciting updates in Transformers v5! The redesign of tokenizers separates their design from trained vocabulary, allowing for easier inspection and customization. This version features clearer internals, a streamlined class hierarchy, and a unified backend. For those looking to understand or train model-specific tokenizers, this blog serves as a practical guide. #Transformers #Tokenization #AI #MachineLearning #DataScience
2025-12-17 21:32
🚀 Real-time decoding is essential for fault-tolerant quantum computers. NVIDIA's CUDA-Q QEC version 0.5.0 enhances this with low-latency decoders working alongside quantum processing units (QPU). Key improvements include online real-time decoding, GPU-accelerated algorithmic decoders, and better AI inference support. Users can efficiently conduct quantum error correction through a streamlined four-stage workflow. Explore how these advancements can accelerate your research! #QuantumComputing...
Tom Lubowe
2025-12-17 18:30
🚀 Solving large-scale problems in EDA, CFD, and optimization is becoming essential as designs grow complex. The NVIDIA CUDA Direct Sparse Solver (cuDSS) allows users to run sparse solvers efficiently with minimal code changes. It supports hybrid memory mode, enabling larger problem-solving across multiple GPUs or nodes. The blog covers strategies for using cuDSS effectively, particularly with recent GPU advancements. #NVIDIA #cuDSS #DataScience #Engineering #Optimization
Jeff Layton
2025-12-17 16:00
🚀 During the holiday rush, retailers are relying on robust Wi-Fi networks to manage increased traffic from customers and devices. 📈 Sarah, a network administrator, faces challenges with slow scanner performance and connectivity issues. With Cisco Meraki's Client Analytics and other tools, she enhances troubleshooting efficiency, allowing her to focus on strategic initiatives. 🔧 These features help maintain seamless operations during peak shopping times. #RetailTech #WirelessNetworking...
Benson Lao
2025-12-17 14:00
🚀 Delve into the development of the Meta Ray-Ban Display, Meta's latest AI glasses! In a recent episode of the Meta Tech Podcast, Kenan and Emanuel from the Wearables team discuss the challenges faced in designing these innovative glasses. They explore topics from display technology to unique user interface patterns. Discover how particle physics relates to hardware design and the importance of celebrating small victories in a fast-paced environment. Listen now on your favorite podcast...
2025-12-17 13:22
NVIDIA has introduced an open evaluation standard with the Nemotron 3 Nano model. This initiative aims to enhance transparency in AI model assessments. By sharing the complete evaluation recipe using the NeMo Evaluator library, NVIDIA allows for independent verification of results. This approach addresses concerns about the authenticity of model improvements. Open innovation is emphasized as crucial for AI advancement. Providing detailed evaluation information helps ensure accountability in...
2025-12-17 02:00
In semiconductor manufacturing, detecting and classifying defects is crucial for success. Traditional CNN-based methods face limitations, including high data requirements and frequent retraining needs. Generative AI offers a solution. By utilizing NVIDIA's vision language models (VLMs) and vision foundation models (VFMs), manufacturers can modernize defect classification and improve accuracy across various processes. These advancements can enhance the efficiency of defect detection, reducing...
Tim Lin
2025-12-17 00:00
Enhance security and performance by routing Twilio Verify traffic through Twilio Interconnect. This setup allows for a private network that supports compliance needs while ensuring reliable service. Learn how to implement this solution effectively for your applications. 🔒🌐 #Twilio #Security #Interconnect #Developers #Compliance
Abe Duarte-Rey, Nubia Edith Nuñez Acero
2025-12-16 23:03
Pathway's research reveals that the transformer architecture has reached its limits. They are developing a new frontier model, the Dragon Hatchling, inspired by the human brain's neuronal dynamics. 🧠 This model focuses on sparse activation, allowing only 5% of neural connections to fire, enhancing efficiency. Current transformer models struggle with sustainability and require extensive training to learn effectively. Learn more about this innovative approach. 🔍 #AI #NeuralNetworks...
Alex Williams
2025-12-16 21:00
🚀 Machine learning engineers face challenges with long-context inference in LLMs due to rising computation costs. The article introduces Skip Softmax, a technique that accelerates inference without retraining. It offers up to 1.4x faster time-to-first-token and time-per-output-token. Learn how to implement Skip Softmax in NVIDIA TensorRT-LLM for improved performance. #MachineLearning #NVIDIA #AI #TensorRT #Inference
Laikh Tewari
2025-12-16 18:00
📘 Discover insights from "Running Virtual Machines on Kubernetes" by Janakiram MSV! The excerpt discusses essential planning for KubeVirt, focusing on storage, network, and security. It emphasizes the importance of leveraging Kubernetes-native storage for VM management through Persistent Volume Claims (PVCs) and the use of StorageClass objects. Networking is covered as well, highlighting the default NAT access and the role of Multus for complex network scenarios. Lastly, security frameworks...
Janakiram MSV
2025-12-16 18:00
Unlocking the potential of quantum computing is challenging as QPUs advance. 🔍 The latest cuQuantum SDK v25.11 introduces tools for Pauli propagation and stabilizer simulations, enhancing the simulation of large-scale quantum circuits. This update allows for efficient estimation of observables, crucial for applications like VQE. Explore how GPU-accelerated methods can support your quantum research! 💻✨ #QuantumComputing #cuQuantum #AI #Simulation #NVIDIA
Tom Lubowe
2025-12-16 17:00
NVIDIA CUDA developers can enhance GPU memory performance without code changes using Multi-Process Service (MPS). This tool allows better GPU resource sharing across processes, improving utilization seamlessly. 🖥️ The new Memory Locality Optimized Partition (MLOPart) feature offers optimized devices that cater to latency-sensitive applications, enabling developers to test performance easily. 🔍 MLOPart devices appear as distinct CUDA devices, allowing efficient resource management. They...
Sherwin Nassernia
2025-12-16 14:00
Uber leverages OpenSearch™ to enhance its streaming data indexing through a pull-based ingestion framework. This architecture allows for efficient search capabilities and highlights Uber's contributions to the OpenSearch project. Learn how these innovations are transforming data management at Uber. 📊🔍 #Uber #OpenSearch #DataIngestion #TechInnovation #StreamingData
2025-12-15 23:55
🚀 Jira Cloud is evolving! The platform is shifting to a cloud-native, multi-tenant architecture aimed at enhancing performance, speed, and reliability. This transformation addresses the limitations of the previous single-tenant database model, ensuring better support for larger customers and more efficient data management. Key challenges tackled include enabling scalability, optimizing for reads, and improving access patterns for a more responsive user experience. #JiraCloud...
Jovana Dunisijevic
2025-12-15 23:51
🚀 Netflix has adopted Temporal, a Durable Execution platform, to enhance its cloud operations since 2021. This tool significantly reduces transient deployment failures from 4% to 0.0001%. Temporal streamlines processes for Spinnaker, Netflix's multi-cloud delivery platform, enabling more reliable and efficient deployments. With over 100 use cases and growing, Temporal is now integral to Netflix's operations. #Netflix #CloudComputing #Temporal #DevOps #SoftwareEngineering
Netflix Technology Blog
2025-12-15 19:31
🚀 Upgrading from Python 3.8 to 3.10 revealed a memory leak at Lyft. During the upgrade, we noticed increased latency and timeouts in one service, linked to repository queries causing thread join delays. Using our internal memory profiling tool, we traced the issue to a compatibility problem between gevent and urllib3. Downgrading urllib3 resolved the leak! For memory leak issues, consider using gunicorn's max-request settings to prevent OOM errors. #Python #MemoryManagement #LyftEngineering...
Jay Patel
2025-12-15 17:42
Atlassian addresses risks in infrastructure-as-code through custom merge checks in Bitbucket. Change-related incidents can significantly impact cloud reliability, with 50-60% linked to recent updates. To manage this, Atlassian employs progressive deployment strategies, minimizing disruptions by gradually rolling out changes and monitoring their effects. Infrastructure-as-code practices evolve, managing diverse configurations. Service descriptors document necessary configurations for services,...
Jovana Dunisijevic
2025-12-15 17:38
🚀 Discover the architecture behind Netflix's Live Origin! This custom server bridges cloud live streaming and Open Connect, managing content delivery efficiently. It utilizes a multi-tenant microservice model on AWS, ensuring resilience through redundant pipelines and epoch locking for segment selection. The Live Origin enhances streaming by detecting segment defects and optimizing traffic management, prioritizing critical requests during high loads. Stay tuned for more insights! #NetflixLive...
Netflix Technology Blog
2025-12-15 17:18
🚀 NVIDIA and the University of Wisconsin-Madison are collaborating to enhance DuckDB with GPU-accelerated analytics through the Sirius engine. DuckDB is gaining traction among major organizations like Microsoft and Databricks due to its efficiency and flexibility. The new Sirius engine leverages NVIDIA CUDA-X libraries for improved performance and query execution. The blog highlights Sirius's architecture and its record-breaking results on the ClickBench analytics benchmark. #NVIDIA #DuckDB...
Xiangyao Yu
2025-12-15 15:30
Discover Google’s Agent Development Kit (ADK), a new approach for developers building AI applications. ADK shifts from simple request-response systems to an event-driven architecture, enabling advanced orchestration of agents, tools, and persistent states. The Runner is central to this setup, allowing real-time interaction and feedback through an innovative event loop. This design supports multi-step reasoning and dynamic updates. Learn more about how ADK can transform your AI projects! 🌐🤖...
Janakiram MSV
2025-12-08 18:00
🚀 Kubernetes is essential for AI workloads, but managing GPU nodes can be complex. NVSentinel addresses these challenges by continuously monitoring GPU health and automatically fixing issues to minimize disruptions. This open-source tool enhances GPU uptime and reliability, reducing downtime from hours to minutes. With NVSentinel, organizations can ensure smoother operations and better productivity in their AI and high-performance computing environments. #Kubernetes #AI #GPU #NVSentinel...
Lalit Adithya
2025-12-08 17:02
Pinterest has developed an AI-driven system to monitor violative content in real-time. This approach, known as prevalence measurement, assesses the percentage of views on policy-violating content daily. Historically, user reports were the main metric, but this method left gaps. Under-reported issues, such as self-harm, and rare content types can go unnoticed. The new system samples user impressions, allowing for a broader, more stable view of content violations. This provides quicker insights...
Pinterest Engineering
2025-12-08 17:00
Unlocking the potential of large-scale inference, the article discusses NVFP4 KV cache quantization. By reducing the precision of weights and activations, this method can cut memory costs by up to 50%. This leads to improved throughput, latency, and the ability to handle larger context lengths and batch sizes. The article also explains the importance of KV cache in optimizing language model performance. #AI #Inference #NVIDIA #Quantization #MachineLearning 🤖💡📈
Eduardo Alvarez
2025-12-05 22:00
Capital One recently showcased how they reduced tracing data by 70% using OpenTelemetry. During the Observability Day at KubeCon, engineers Joseph Knight and Sateesh Mamidala discussed the challenges of managing telemetry data. They emphasized the importance of optimal sampling to avoid data overload while ensuring accurate monitoring. Their approach involved implementing dedicated infrastructure for effective trace sampling, which streamlined operations across Capital One globally....
B. Cameron Gain