2025-08-22 20:12
🚀 Pinterest has introduced PinConsole, an Internal Developer Platform (IDP) aimed at simplifying the developer experience. This initiative addresses increasing complexity and improves engineering velocity for over 550 million users. 🔍 The team identified challenges such as tool fragmentation and inconsistent workflows, which were hindering productivity. By leveraging Backstage, PinConsole creates a unified interface, allowing engineers to focus on business logic. 📈 Early adoption shows...
Pinterest Engineering
2025-08-22 18:30
A new article discusses how tens of thousands of aircraft generate IoT events every second. It highlights the use of Lakeflow declarative pipelines and PySpark custom data sources to process millions of these events efficiently. The focus is on building scalable systems to manage this vast amount of data effectively. ✈️🌐📊 #Aviation #DataProcessing #IoT #CloudComputing #ScalableSystems
2025-08-22 17:58
Introducing the NVIDIA Blackwell Ultra GPU, a key advancement in the Blackwell architecture. This GPU enhances AI training and reasoning with innovative technology. Key features include a dual-reticle design, high bandwidth, and energy-efficient performance. It boasts 208 billion transistors and provides significant scalability for AI tasks. With 15 PetaFLOPS performance and improved memory access, the Blackwell Ultra sets a new standard for accelerated computing. #NVIDIA #AI #BlackwellUltra...
Kyle Aubrey
2025-08-22 00:00
Tipalti, a leader in payables automation, has transformed its approach to Elasticsearch performance. By switching from manual monitoring to the automated AutoOps system, they achieved a 10% annual cost saving while managing a complex database ecosystem with a small team. Oz Levy, a data operations manager at Tipalti, shared insights on this transition and its impact on operational efficiency. #Tipalti #Elasticsearch #AutoOps #Efficiency #CostSaving 💼📈🔍
Oz Levy,Farisha Vadera,Jordi Mon Companys
2025-08-21 18:05
YouTube is enhancing user experience on mobile with real-time generative AI effects. 📱✨ By utilizing knowledge distillation and MediaPipe, YouTube has developed a solution to deliver over 20 effects directly on creators' phones. This process involves creating smaller, efficient models tailored for specific tasks, allowing for seamless video processing. These advancements make features like cartoon style transfer not only possible but also fun and interactive for creators on YouTube Shorts. 🎨🎥...
2025-08-21 17:39
At Netflix, we are evolving our data engineering function with the introduction of Media ML Data Engineering. 🎥📊 This new specialization focuses on managing complex media data, allowing for centralized access to various media assets like video, audio, and text. The initiative aims to enhance machine learning capabilities and improve analytics through the Media Data Lake, which supports advanced technologies. Key responsibilities include standardizing media assets and enriching metadata to...
Netflix Technology Blog
2025-08-21 15:00
As AI evolves, traditional data architectures struggle to keep pace. Fragmented systems hinder efficiency, especially in data-heavy sectors like insurance. 🌩️ The article advocates for converged datastores that unify structured and unstructured data. This shift allows AI agents to analyze, reason, and act in real-time, streamlining processes and enhancing customer experiences. 📊 A new approach is essential, integrating advanced tools to support intelligent automation and cognitive decision-...
2025-08-21 15:00
🔒 As data sizes grow, ensuring security and integrity is vital. The cuPQC SDK v0.4 offers advanced cryptographic techniques, including inclusion proofs and digital signatures, to enhance data protection. New features include expanded hash function support and efficient Merkle tree calculations, improving performance in data verification. 🌳 Discover how these updates can benefit your cryptographic tasks! #DataIntegrity #Cryptography #cuPQC #MerkleTrees #CyberSecurity
Yarkin Doroz
2025-08-21 15:00
The rise of AI model complexity has increased parameter counts from millions to trillions, demanding more computational power. 🌐 NVIDIA NVLink and NVLink Fusion are key technologies enhancing AI inference performance. They enable large-scale parallelization strategies, essential for handling advanced AI architectures like mixture-of-experts (MoE). 🤖 This evolution in AI systems highlights the need for interconnected GPUs acting as a unified pool of compute and memory. #AI #NVIDIA #NVLink...
Joe DeLaere
2025-08-21 13:52
🚀 In the latest "Engineering Energizers" Q&A, we spotlight Pratima Nambiar, a Distinguished Architect at Salesforce. She has been pivotal in developing the service mesh architecture for the Hyperforce platform. 🔍 This architecture secures communication among thousands of services, addressing challenges like blast radius reduction and scale optimization. The team leverages open source tools like Envoy and Istio to enhance service connectivity. 💡 The shift to public cloud infrastructure has...
Scott Nyberg
2025-08-21 11:55
🚀 New benchmarks for vector search performance are here! The MongoDB Benchmark for Atlas Vector Search provides essential strategies for optimizing search at scale, especially for datasets exceeding 10M vectors. Key factors like accuracy, cost, and throughput are explored, offering insights into quantization, dimensionality, and more. The guide aims to simplify initial tests and enhance understanding of system behavior. Explore the full guide in our documentation! 📊📈 #VectorSearch #MongoDB...
2025-08-21 07:01
🚀 Apache Kafka 3.9.0 introduces tiered storage for improved long-term data retention and cost efficiency. This feature allows independent scaling of compute and storage resources, leading to better client isolation. However, challenges remain in reading remote data. The article outlines two key problems and offers solutions, emphasizing important configurations like `fetch.max.bytes` and `max.partition.fetch.bytes`. Kafka 4.2.0 promises improvements to address these issues, enhancing...
Federico Valeri, Luke Chen
2025-08-20 15:15
🚀 Exciting updates in reinforcement learning with NVIDIA NeMo-RL! The latest release introduces support for the Megatron-Core library, enhancing training throughput for massive language models. This integration addresses limitations found in the PyTorch DTensor backend, particularly for models with hundreds of billions of parameters. With GPU-optimized techniques and simplified configuration options, NeMo-RL makes it easier for developers to harness the power of Megatron-Core. Explore...
Anna Shors
2025-08-20 13:00
Discover a new approach for AI agents interacting with protected pages. The emerging standard, llms.txt, proposes including instructions directly in HTML responses using the <script type="text/llms.txt"> tag. This could simplify how AIs access and consume documentation without relying on external sources. Learn more about this innovative concept! 💻📄 #AI #HTML #llms #Innovation #TechNews
Malte Ubl
2025-08-20 07:01
🔍 The OpenAI Responses API simplifies AI application development by managing complex orchestration. However, it is tied to specific models and a proprietary cloud service. Enter Llama Stack, an open-source server that offers a compatible Responses API and lets you deploy on your hardware with your chosen models. It supports advanced features like Retrieval-augmented Generation (RAG) for accurate answers without compromising document privacy. Explore how Llama Stack can transform your AI...
J William Murdock, Roland Huß, Ann Marie Fred
2025-08-20 07:01
🌐 Exciting developments in AI with the Model Context Protocol (MCP) from Anthropic! Released in November 2024, MCP enables large language models to communicate seamlessly with various tools. 🛠️ With thousands of open-source MCP servers available, many developers are now creating agentic applications. However, there's still untapped potential in fully utilizing MCP’s capabilities. 📄 My journey began during my internship at Red Hat, where I worked with Docling, an open-source data preprocessor....
Ryan Fernandes
2025-08-19 20:04
Exploring prompt engineering in AI-assisted onboarding at Etsy reveals both benefits and limitations. The study focused on how well LLMs provide reliable answers to Etsy-specific questions, particularly in the Travel & Entertainment domain. Initial findings indicate that concise prompts improve answer accuracy. However, some instances showcased LLM "hallucinations," emphasizing the need for careful prompt design. For more insights, check out the full article! 📝🤖 #AIEducation #Etsy...
Jerome Bellegarda
2025-08-19 18:30
Kubernetes is set to introduce the NodeSwap feature in version 1.34, allowing Linux nodes to utilize swap for improved resource management. This marks a shift from the traditional approach of disabling swap for performance. However, enabling swap requires careful tuning of Linux kernel parameters to avoid performance issues and manage memory pressure effectively. Key parameters include `vm.swappiness`, `vm.min_free_kbytes`, and `vm.watermark_scale_factor`. Testing various configurations can...
2025-08-19 17:00
As AI systems evolve, ensuring ethical governance becomes essential. The article discusses Constitutional AI (CAI), a method by Anthropic that allows AI models to self-govern using predefined ethical principles. This approach moves beyond traditional human oversight, integrating with MongoDB's governance tools for effective implementation. CAI utilizes a two-phase process: self-critique and AI feedback, making ethical decisions transparent. However, scaling CAI requires robust data governance...
2025-08-19 14:00
Artificial intelligence is transforming fleet management with real-time insights that enhance route planning and maintenance. 🚗💡 Modern vehicles generate vast data, creating challenges in processing and operational costs. An efficient architecture using MongoDB can streamline this by managing various data types effectively. Features like geospatial queries and time-series collections empower fleet managers to make informed decisions quickly. 📊✨ Explore how AI-driven systems can optimize your...
2025-08-18 23:44
🚀 TitanApps shares the journey of migrating Smart Checklist to Forge, ensuring it meets security standards and runs smoothly on Atlassian. The team tackled challenges like data migration without downtime, all while retaining the app's reliability for thousands of users. This migration highlights the importance of planning and adapting to new technologies. For those considering a similar move, this post offers valuable insights. #Atlassian #SmartChecklist #ForgeMigration #TechInnovation...
kwhite@atlassian.com
2025-08-18 21:49
DoorDash's support chatbot efficiently addresses numerous questions from Dashers and customers daily. As their marketplace grows, so does the complexity of inquiries. To enhance chatbot knowledge, DoorDash employs large language models (LLMs) paired with clustering algorithms. This method identifies content gaps and drafts articles quickly, streamlining the knowledge base update process. By analyzing escalated chat transcripts, they pinpoint areas needing improvement. This data-driven...
Tony Luo
2025-08-18 19:30
Unlock faster, smarter retrieval in AI with the latest advancements in Mosaic AI Vector Search. Organizations can now enhance their RAG agents to deliver more relevant answers efficiently, all with a simple line of code. This innovation addresses challenges faced in handling unstructured data. Stay ahead in AI technology! 🚀💡 #AI #Mosaic #VectorSearch #Innovation #TechTrends
2025-08-18 18:15
At Netflix, ML observability is crucial for monitoring and understanding machine learning models in production. It allows teams to track performance, detect anomalies, and ensure reliability. This is particularly important in payment processing, where optimizing transactions helps reduce friction for users. By utilizing ML observability tools, we can enhance model performance and maintain stakeholder trust through clear insights into model behavior. Examples include logging, monitoring, and...
Netflix Technology Blog
2025-08-18 15:32
🚀 Exciting advancements in software engineering at Salesforce! Rachna Singh and her team tackled the challenge of achieving 80% code coverage on legacy systems. By utilizing Cursor AI, they reduced unit test development time from 26 days to just 4! 📉 This innovative approach not only met the coverage requirement but also improved feature delivery and code quality across multiple repositories. #Salesforce #AI #SoftwareEngineering #CodeCoverage #Innovation
Scott Nyberg
2025-08-18 15:00
🚀 The manufacturing sector faces challenges like evolving demands and a skilled labor shortage. Digital transformation is key, with data-driven strategies at the forefront. 🔧 Predictive maintenance is vital for operational excellence, using data to foresee machine failures and reduce costly downtime. 🤖 The rise of multi-agent AI systems is revolutionizing this process. MongoDB enables the development of these agents, enhancing automation and efficiency on the shop floor. Explore how Agentic...
2025-08-14 19:06
Unlocking data synthesis in AI just got easier! 🌐 A new algorithm, CTCL, enables the generation of synthetic data while preserving privacy, using a lightweight 140 million parameter model. This approach avoids the complexities of fine-tuning billion-scale models, making it accessible for resource-constrained applications. CTCL conditions data on topic information, ensuring better topic distribution matching. It also allows for unlimited synthetic data generation without additional privacy...
2025-08-14 16:00
Discover how Red Hat OpenShift Virtualization and HashiCorp Vault can address the secret zero problem in virtualized environments. Organizations face challenges in establishing machine identity as they adopt identity-based security. Traditional virtualization solutions often lack inherent machine identity, leading to reliance on initial credentials for secure communication with Vault. Red Hat OpenShift Virtualization offers a solution by enabling virtual machines to leverage Kubernetes...
Ben Holmes
2025-08-13 17:01
🚀 Exciting updates from Airbnb! We have successfully migrated our largest repo, the JVM monorepo, to Bazel after 4.5 years of dedicated work. This transition has significantly improved our build process, achieving a Build CSAT increase from 38% to 68%. Key benefits include: - 3–5x faster local build and test times - 2–3x faster IntelliJ syncs - 2–3x faster deploys to the development environment We chose Bazel for its speed, reliability, and uniform infrastructure. The migration involved...
Thomas Bao
2025-08-13 13:00
The article addresses a common misconception about serverless compute and its connection to traditional databases. It highlights that the challenge lies not in the number of connections during normal operation but in potential connection leaks when serverless functions are suspended. The piece provides clarity on the actual cause and offers a simple solution to this issue. 🔍💻🔗 #Serverless #Database #TechSolutions #CloudComputing #SoftwareDevelopment
Malte Ubl
2025-08-13 08:12
🚀 UiPath has developed a scalable real-time ETL pipeline using Databricks to enhance automation processes. This pipeline aims to deliver fast and reliable data processing, which is crucial for effective decision-making. By leveraging Databricks, UiPath is focused on improving operational efficiency and customer satisfaction. #UiPath #Databricks #ETL #Automation #DataProcessing
2025-08-11 21:29
🚀 Netflix has developed an automated method for video quality control that detects pixel-level artifacts, reducing manual reviews. This new system identifies hot pixels that can distract viewers, ensuring a seamless viewing experience. By using a specialized neural network, Netflix speeds up the QC process from hours to minutes. This innovation allows creative teams to focus more on storytelling rather than technical issues. 🎥✨ #Netflix #VideoQuality #Innovation #TechForGood #Filmmaking
Netflix Technology Blog
2025-08-11 19:35
🚀 Discover strategies for optimizing the incremental computation of materialized views in data management. The article discusses techniques that digital-native companies can implement to enhance efficiency. It highlights the importance of improving performance while managing data effectively. Learn how to leverage these strategies for better data handling and quicker insights! 📊🔍 #DataManagement #MaterializedViews #Optimization #TechInsights
2025-08-11 15:31
🌐 Discover effective disaster recovery strategies for Red Hat OpenShift Virtualization! This follow-up article explores orchestrating application failover using Kubernetes-native constructs and GitOps workflows. It emphasizes how to manage workloads during disruptions, focusing on redeployment and prioritization. Key practices include using Node Selectors and automation tools like Ansible and Helm for seamless transitions between primary and DR sites. Regular DR rehearsals and clear...
Bryon Baker, Raffaele Spazzoli
2025-08-11 15:00
The automotive industry is transforming with connected, software-defined vehicles generating vast amounts of data daily. 🚗💻 A recent survey highlights that 40% of US consumers value connectivity enough to switch brands. OEMs are responding by leveraging data for predictive maintenance and personalized services. Combining MongoDB Atlas with AWS tools enables innovative applications like real-time diagnostics and tailored insurance models. 📊🔧 Explore how this architecture can enhance mobility...
2025-08-11 14:15
🚀 Meet Nilesh Salpe, an engineer at Salesforce focusing on the AI Metadata Service (AIMS). This service offers tenant-specific configurations for AI inferences, crucial for applications like Agentforce. 🔧 His team developed a multi-layered caching system to address a 400ms latency issue, enhancing performance to sub-millisecond levels while ensuring reliability against backend outages. 🌐 AIMS plays a key role in managing diverse AI models and configurations across Salesforce’s multi-cloud...
Scott Nyberg
2025-08-11 13:55
Understanding the limitations of traditional APIs for AI agents is crucial. 🤖 The article discusses how APIs can confuse AI agents due to excessive choices and the need for manual translation of information. This often hampers performance and adaptability. Introducing the Model Context Protocol (MCP), which streamlines AI reasoning by providing high-level capabilities instead of overwhelming details. MCP enhances the agent's ability to focus on tasks efficiently. #AI #MCP #TechInnovation...
Will Johnson
2025-08-11 00:00
CrowdStrike is enhancing machine learning evaluation by tackling data leakage, which can lead to inaccurate threat detection in cybersecurity. To combat this, they implement strategic data splitting during model training. This method carefully manages how data is divided, ensuring that similar data points do not skew results, ultimately leading to more reliable detection of new threats. By focusing on this strategy, CrowdStrike aims to improve the performance of their AI-native platform...
Josh Sun
2025-08-08 18:33
🚀 The latest edition of NVIDIA's R²D² highlights the role of World Foundation Models (WFMs) in enhancing robot training. WFMs address the growing need for labeled datasets by simulating real-world dynamics. Key components include Cosmos Predict, Transfer, and Reason, each designed for specific applications in robotics and autonomous vehicles. Cosmos Predict generates future world states through various input types. Cosmos Transfer facilitates photorealistic style transfers, while Cosmos...
Asawaree Bhide
2025-08-08 07:16
Ollama and vLLM serve distinct roles in the AI landscape. Ollama is designed for local development and prototyping, while vLLM excels in high-performance production environments. In benchmarks, vLLM outperformed Ollama with a peak throughput of 793 TPS compared to Ollama's 41 TPS and lower latency across all concurrency levels. Ollama prioritizes ease of use, making it suitable for individual developers, whereas vLLM is built for scalability, catering to enterprise applications. For detailed...
Harshith Umesh