Total Articles: 20 from 8 sources
AWS News
1. Twenty years of Amazon S3 and building what’s next
URL: https://aws.amazon.com/blogs/aws/twenty-years-of-amazon-s3-and-building-whats-next/
Published: 2026-03-13 12:58
Summary:
Some reflections on 20 years of innovations in Amazon S3 including S3 Tables, S3 Vectors and S3 Metadata.
2. Introducing account regional namespaces for Amazon S3 general purpose buckets
Published: 2026-03-12 21:18
Summary:
AWS launches a new feature of Amazon S3 that lets you create general purpose buckets in your own account regional namespace simplifying bucket creation and management as your data storage needs grow in size and scope.
3. AWS Weekly Roundup: Amazon Connect Health, Bedrock AgentCore Policy, GameDay Europe, and more (March 9, 2026)
Published: 2026-03-09 16:15
Summary:
Fiti AWS Student Community Kenya Last week was an incredible whirlwind: a round of meetups, hands-on workshops, and career discussions across Kenya that culminated with the AWS Student Community Day at Meru University of Science and Technology, with keynotes from my colleagues Veliswa and Tiffany, and sessions on everything from GitOps to cloud-native engineering, and […]
Dropbox Engineering
1. Using LLMs to amplify human labeling and improve Dash search relevance
URL: https://dropbox.tech/machine-learning/llm-human-labeling-improving-search-relevance-dropbox-dash
Published: 2026-02-26 17:00
Summary:
How we train Dash’s search ranking models with a mix of human and LLM-assisted labeling.
GitHub Blog
1. Continuous AI for accessibility: How GitHub transforms feedback into inclusion
Published: 2026-03-12 16:00
Summary:
AI automates triage for accessibility feedback, allowing us to focus on fixing barriers—turning a chaotic backlog into continuous, rapid resolutions The post Continuous AI for accessibility: How GitHub transforms feedback into inclusion appeared first on The GitHub Blog.
2. GitHub availability report: February 2026
URL: https://github.blog/news-insights/company-news/github-availability-report-february-2026/
Published: 2026-03-12 03:23
Summary:
In February, we experienced six incidents that resulted in degraded performance across GitHub services The post GitHub availability report: February 2026 appeared first on The GitHub Blog.
3. Addressing GitHub’s recent availability issues
URL: https://github.blog/news-insights/company-news/addressing-githubs-recent-availability-issues-2/
Published: 2026-03-11 21:41
Summary:
GitHub recently experienced several availability incidents We understand the impact these outages have on our customers and are sharing details on the stabilization work we’re prioritizing right now The post Addressing GitHub’s recent availability issues appeared first on The GitHub Blog.
Google Developers
1. A Guide to Fine-Tuning FunctionGemma
URL: https://developers.googleblog.com/a-guide-to-fine-tuning-functiongemma/
Published: 2026-03-16 10:04
Summary:
FunctionGemma is a specialized AI model for function calling This post explains why fine-tuning is key to resolving tool selection ambiguity (e.g., internal vs It also introduces the “FunctionGemma Tuning Lab,” a no-code demo on Hugging Face Spaces, which streamlines the entire fine-tuning process for developers.
2. Tailor Gemini CLI to your workflow with hooks
URL: https://developers.googleblog.com/tailor-gemini-cli-to-your-workflow-with-hooks/
Published: 2026-03-16 10:04
Summary:
New Gemini CLI hooks (v0.26.0+) let you tailor the agentic loop Add context, enforce policies, and block secrets with custom scripts that run at predefined points in your workflow.
3. LiteRT: The Universal Framework for On-Device AI
URL: https://developers.googleblog.com/litert-the-universal-framework-for-on-device-ai/
Published: 2026-03-16 10:04
Summary:
LiteRT, the evolution of TFLite, is now the universal framework for on-device AI It delivers up to 1.4x faster GPU, new NPU support, and streamlined GenAI deployment for models like Gemma.
LinkedIn Engineering
1. Feed blog posts
URL: https://www.linkedin.com/blog/engineering/feed
Published: 2026-03-12 00:00
Summary:
Feed blog postsFeedEngineering the next generation of LinkedIn’s FeedHristo DanchevMar 12, 2026FeedPutting members first: testing and measuring how content appea…Sakshi JainNov 20, 2025InfrastructureFishDB: a generic retrieval engine for scaling LinkedIn’s feedKenneth LiNov 17, 2025Java heap memory and garbage collection: tuning for high-perfo…Nisheedh RaveendranSep 13, 2024Generative AIHow LinkedIn Built the Engineering Infrastructure to Ignite Pr…Shweta PatiraNov 20, 2023FeedHomepage feed multi-task learning using TensorFlowIan AckermanJun 3, 2021Member/Customer ExperienceHelping members discover communities around interestsChiachi LoSep 17, 2020FeedUnderstanding dwell time to improve LinkedIn feed rankingSiddharth DangiMay 12, 2020FeedRapid experimentation through standardization: Typed AI featur…Ian AckermanApr 15, 2020The Top 2019 LinkedIn Engineering BlogsJaren AndersonDec 9, 2019OptimizationAuditing content features in FollowFeedBanu MuthukumarAug 27, 2019FeedCommunity-focused Feed optimizationJun 25, 2019Previous123Next
Meta Engineering
1. Patch Me If You Can: AI Codemods for Secure-by-Default Android Apps
Published: 2026-03-13 16:00
Summary:
Even seemingly simple engineering tasks — like updating an API — can become monumental undertakings when you’re dealing with millions of lines of code and thousands of engineers, especially if the changes are security-related Nowhere is this more apparent than in mobile security, where a single class of vulnerability can be replicated across hundreds of […] Read More The post Patch Me If You Can: AI Codemods for Secure-by-Default Android Apps appeared first on Engineering at Meta.
2. How Advanced Browsing Protection Works in Messenger
URL: https://engineering.fb.com/2026/03/09/security/how-advanced-browsing-protection-works-in-messenger/
Published: 2026-03-09 16:00
Summary:
We’re sharing the technical details behind how Advanced Browsing Protection (ABP) in Messenger protects the privacy of the links clicked on within chats while still warning people about malicious links We hope that this post has helped to illuminate some of the engineering challenges and infrastructure components involved for providing this feature for our users. […] Read More The post How Advanced Browsing Protection Works in Messenger appeared first on Engineering at Meta.
3. FFmpeg at Meta: Media Processing at Scale
URL: https://engineering.fb.com/2026/03/02/video-engineering/ffmpeg-at-meta-media-processing-at-scale/
Published: 2026-03-02 20:00
Summary:
FFmpeg is truly a multi-tool for media processing For the people who use our apps, FFmpeg plays an important role in enabling new video experiences […] Read More The post FFmpeg at Meta: Media Processing at Scale appeared first on Engineering at Meta.
Netflix TechBlog
1. Scaling Global Storytelling: Modernizing Localization Analytics at Netflix
Published: 2026-03-06 15:01
Summary:
However, this growth created technical debt within our systems: a fragmented landscape of analytics workflows, duplicated pipelines, and siloed dashboards that we are now actively modernizing.The Challenge: “Who Made This Dub?”Historically, business logic for localization metrics was replicated across isolated domains To fix this, we revamped our Language Asset Consumption tool — instead of reporting dub and subtitle metrics independently, we combine audio and text languages into one consumption language that helps differentiate Original Language versus Localized Consumption and measure member preferences between subtitles, dubs, or a combination of both for a given language By centralizing business logic into unified tables — such as a “Language Asset Producer” table — we solve the “Who made this dub?” problem once
2. Optimizing Recommendation Systems with JDK’s Vector API
Published: 2026-03-03 01:36
Summary:
When we looked at CPU profiles for this service, one feature kept standing out: video serendipity scoring — the logic that answers a simple question:“How different is this new title from what you’ve been watching so far?”This single feature was consuming about 7.5% of total CPU on each node running the service More crucially for us, it’s pure Java: no native dependencies, no JNI transitions, and a development model that looks like normal Java code rather than platform-specific assembly or intrinsics.This was a particularly good match for our workload because we had already moved embeddings into flat, contiguous double[] buffers, and the hot loop was dominated by large numbers of dot products So we designed the fallback behavior explicitly: At startup, we detect Vector API support and use the SIMD batched matmul when available; otherwise we fall back to an optimized scalar path, with single-video requests continuing to use the per-item implementation.That gives us a clean operational story: services can opt in to the Vector API for maximum performance, but the system remains safe and predictable without it.Results in Production:With the full design in place with batching, flat buffers, ThreadLocal reuse, and the Vector API, we ran canaries that run production traffic
3. Mount Mayhem at Netflix: Scaling Containers on Modern CPUs
Published: 2026-02-28 22:55
Summary:
Examining the mount table made it clear that these mounts were related to container creation.The affected nodes were almost all r5.metal instances, and were starting applications whose container image contained many layers (50+).ChallengeMount Lock ContentionThe flamegraph in Figure 1 clearly shows where containerd spent its time Almost all of the time is spent trying to grab a kernel-level lock as part of the various mount-related activities when assembling the container’s root filesystem!Figure 1: Flamegraph depicting lock contentionLooking closer, containerd executes the following calls for each layer if using user namespaces:open_tree() to get a reference to the layer / directorymount_setattr() to set the idmap to match the container’s user range, shifting the ownership so this container can access the filesmove_mount() to create a bind mount on the host with this new idmap appliedThese bind mounts are owned by the container’s user range and are then used as the lowerdirs to create the overlayfs-based rootfs for the container The kernel VFS has various global locks related to the mount table, and each of these mounts requires taking that lock as we can see in the top of the flamegraph
Stripe Engineering
1. 10 things we learned building for the first generation of agentic commerce
URL: https://stripe.com/blog/10-lessons
Published: 2026-03-12 00:00
Summary:
A future where we buy with AI agents feels inevitable Making it actually work is harder These lessons from the first wave of agentic commerce are meant to help sellers decide what to tackle, avoid common bottlenecks, and get ahead of what’s coming.
2. Analyzing first-party fraud trends: Account, free trial, and refund abuse
URL: https://stripe.com/blog/analyzing-first-party-fraud-trends-account-free-trial-and-refund-abuse
Published: 2026-03-10 00:00
Summary:
From November 2025 to February 2026, our models detected 6.2x more abusive free trials across the Stripe network This is part of a broader shift toward first-party fraud, where legitimate users abuse policies by setting up multiple accounts, cycling through free trials, or exploiting refunds.
3. Supporting additional payment methods for agentic commerce
URL: https://stripe.com/blog/supporting-additional-payment-methods-for-agentic-commerce
Published: 2026-03-03 00:00
Summary:
Stripe is now the first and only provider that supports both agentic network tokens and buy now, pay later tokens in agentic commerce through a single primitive.
Generated on 2026-03-16 10:04:23