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#lowlatency — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #lowlatency, aggregated by home.social.

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  1. Milliseconds are slow when your competition measures latency in microseconds. Stefan Angelov shares practical Java techniques—from JIT optimization and off-heap memory to sharding and object pooling—to build ultra-fast systems.

    Learn how to push Java to its limits: javapro.io/2026/09/02/achievin

    #Java #Performance #LowLatency

  2. Milliseconds are slow when your competition measures latency in microseconds. Stefan Angelov shares practical Java techniques—from JIT optimization and off-heap memory to sharding and object pooling—to build ultra-fast systems.

    Learn how to push Java to its limits: javapro.io/2026/09/02/achievin

    #Java #Performance #LowLatency

  3. #Nvidia announced the commercialisation of its #Groq3 LPX rack, following its $20 billion acquisition of #Groq. The #Groqrack, which will be deployed alongside Vera and Rubin processors at Nebius, is designed for #lowlatency #inference, a crucial aspect of #AIagents. This acquisition highlights Nvidia’s focus on providing premium, latency-sensitive services for customers. cnbc.com/2026/08/24/nvidia-say #tech #news #ainews

  4. #Nvidia announced the commercialisation of its #Groq3 LPX rack, following its $20 billion acquisition of #Groq. The #Groqrack, which will be deployed alongside Vera and Rubin processors at Nebius, is designed for #lowlatency #inference, a crucial aspect of #AIagents. This acquisition highlights Nvidia’s focus on providing premium, latency-sensitive services for customers. cnbc.com/2026/08/24/nvidia-say #tech #news #ainews

  5. #Nvidia announced the commercialisation of its #Groq3 LPX rack, following its $20 billion acquisition of #Groq. The #Groqrack, which will be deployed alongside Vera and Rubin processors at Nebius, is designed for #lowlatency #inference, a crucial aspect of #AIagents. This acquisition highlights Nvidia’s focus on providing premium, latency-sensitive services for customers. cnbc.com/2026/08/24/nvidia-say #tech #news #ainews

  6. #Nvidia announced the commercialisation of its #Groq3 LPX rack, following its $20 billion acquisition of #Groq. The #Groqrack, which will be deployed alongside Vera and Rubin processors at Nebius, is designed for #lowlatency #inference, a crucial aspect of #AIagents. This acquisition highlights Nvidia’s focus on providing premium, latency-sensitive services for customers. cnbc.com/2026/08/24/nvidia-say #tech #news #ainews

  7. #Nvidia announced the commercialisation of its #Groq3 LPX rack, following its $20 billion acquisition of #Groq. The #Groqrack, which will be deployed alongside Vera and Rubin processors at Nebius, is designed for #lowlatency #inference, a crucial aspect of #AIagents. This acquisition highlights Nvidia’s focus on providing premium, latency-sensitive services for customers. cnbc.com/2026/08/24/nvidia-say #tech #news #ainews

  8. Did you know? IPFire minimises the latency of every internet connection even using fq_codel wiki.ipfire.org/configuration/ #QoS #gaming #lowlatency

  9. Did you know? IPFire minimises the latency of every internet connection even using fq_codel wiki.ipfire.org/configuration/ #QoS #gaming #lowlatency

  10. Did you know? IPFire minimises the latency of every internet connection even using fq_codel wiki.ipfire.org/configuration/ #QoS #gaming #lowlatency

  11. Did you know? IPFire minimises the latency of every internet connection even using fq_codel wiki.ipfire.org/configuration/ #QoS #gaming #lowlatency

  12. Discover how the #AWS team eliminated a hidden, high-latency pre-flight round trip in a multi-region API by moving from SigV4 to SigV4a.

    The change removed the need for clients to pre-discover which region to sign for, improving both latency & regional failover resiliency.

    The code change was small - the 6-month rollout wasn't.

    📰 Read the #InfoQ article by Suresh Gururajan: bit.ly/4yqaA7W

    #CloudComputing #CloudArchitecture #APISecurity #Authentication #LowLatency

  13. Discover how the #AWS team eliminated a hidden, high-latency pre-flight round trip in a multi-region API by moving from SigV4 to SigV4a.

    The change removed the need for clients to pre-discover which region to sign for, improving both latency & regional failover resiliency.

    The code change was small - the 6-month rollout wasn't.

    📰 Read the #InfoQ article by Suresh Gururajan: bit.ly/4yqaA7W

    #CloudComputing #CloudArchitecture #APISecurity #Authentication #LowLatency

  14. Discover how the #AWS team eliminated a hidden, high-latency pre-flight round trip in a multi-region API by moving from SigV4 to SigV4a.

    The change removed the need for clients to pre-discover which region to sign for, improving both latency & regional failover resiliency.

    The code change was small - the 6-month rollout wasn't.

    📰 Read the #InfoQ article by Suresh Gururajan: bit.ly/4yqaA7W

    #CloudComputing #CloudArchitecture #APISecurity #Authentication #LowLatency

  15. Discover how the #AWS team eliminated a hidden, high-latency pre-flight round trip in a multi-region API by moving from SigV4 to SigV4a.

    The change removed the need for clients to pre-discover which region to sign for, improving both latency & regional failover resiliency.

    The code change was small - the 6-month rollout wasn't.

    📰 Read the #InfoQ article by Suresh Gururajan: bit.ly/4yqaA7W

    #CloudComputing #CloudArchitecture #APISecurity #Authentication #LowLatency

  16. Discover how the team eliminated a hidden, high-latency pre-flight round trip in a multi-region API by moving from SigV4 to SigV4a.

    The change removed the need for clients to pre-discover which region to sign for, improving both latency & regional failover resiliency.

    The code change was small - the 6-month rollout wasn't.

    📰 Read the article by Suresh Gururajan: bit.ly/4yqaA7W

  17. #Netflix introduced dynamic partition splitting for #Cassandra to solve wide partitions in time-series workloads.

    The metadata-driven approach detects oversized partitions, splits them into smaller units, and routes reads across them.

    Result:
    • Read latency dropped from seconds to milliseconds
    • Fewer timeouts
    • Better cluster stability

    Details on #InfoQ 👉 bit.ly/44lUaQ7

    #DistributedSystems #Database #LowLatency #DataPartitioning

  18. #Netflix introduced dynamic partition splitting for #Cassandra to solve wide partitions in time-series workloads.

    The metadata-driven approach detects oversized partitions, splits them into smaller units, and routes reads across them.

    Result:
    • Read latency dropped from seconds to milliseconds
    • Fewer timeouts
    • Better cluster stability

    Details on #InfoQ 👉 bit.ly/44lUaQ7

    #DistributedSystems #Database #LowLatency #DataPartitioning

  19. #Netflix introduced dynamic partition splitting for #Cassandra to solve wide partitions in time-series workloads.

    The metadata-driven approach detects oversized partitions, splits them into smaller units, and routes reads across them.

    Result:
    • Read latency dropped from seconds to milliseconds
    • Fewer timeouts
    • Better cluster stability

    Details on #InfoQ 👉 bit.ly/44lUaQ7

    #DistributedSystems #Database #LowLatency #DataPartitioning

  20. #Netflix introduced dynamic partition splitting for #Cassandra to solve wide partitions in time-series workloads.

    The metadata-driven approach detects oversized partitions, splits them into smaller units, and routes reads across them.

    Result:
    • Read latency dropped from seconds to milliseconds
    • Fewer timeouts
    • Better cluster stability

    Details on #InfoQ 👉 bit.ly/44lUaQ7

    #DistributedSystems #Database #LowLatency #DataPartitioning

  21. introduced dynamic partition splitting for to solve wide partitions in time-series workloads.

    The metadata-driven approach detects oversized partitions, splits them into smaller units, and routes reads across them.

    Result:
    • Read latency dropped from seconds to milliseconds
    • Fewer timeouts
    • Better cluster stability

    Details on 👉 bit.ly/44lUaQ7

  22. Shopify has unveiled GraphQL Cardinal, a new execution engine replacing depth-first traversal with breadth-first execution.

    Cardinal delivers performance improvements:
    ⚡ Up to 15× faster field execution
    ⚡ 6× lower garbage collection overhead
    ⚡ More than 4 seconds improvement in P50 latency

    🔗 Learn more about the engineering behind GraphQL Cardinal: bit.ly/3RHwvXm

    #InfoQ #SoftwareArchitecture #DistributedSystems #Performance #LowLatency #GraphQL #Microservices

  23. Shopify has unveiled GraphQL Cardinal, a new execution engine replacing depth-first traversal with breadth-first execution.

    Cardinal delivers performance improvements:
    ⚡ Up to 15× faster field execution
    ⚡ 6× lower garbage collection overhead
    ⚡ More than 4 seconds improvement in P50 latency

    🔗 Learn more about the engineering behind GraphQL Cardinal: bit.ly/3RHwvXm

    #InfoQ #SoftwareArchitecture #DistributedSystems #Performance #LowLatency #GraphQL #Microservices

  24. Shopify has unveiled GraphQL Cardinal, a new execution engine replacing depth-first traversal with breadth-first execution.

    Cardinal delivers performance improvements:
    ⚡ Up to 15× faster field execution
    ⚡ 6× lower garbage collection overhead
    ⚡ More than 4 seconds improvement in P50 latency

    🔗 Learn more about the engineering behind GraphQL Cardinal: bit.ly/3RHwvXm

    #InfoQ #SoftwareArchitecture #DistributedSystems #Performance #LowLatency #GraphQL #Microservices

  25. Shopify has unveiled GraphQL Cardinal, a new execution engine replacing depth-first traversal with breadth-first execution.

    Cardinal delivers performance improvements:
    ⚡ Up to 15× faster field execution
    ⚡ 6× lower garbage collection overhead
    ⚡ More than 4 seconds improvement in P50 latency

    🔗 Learn more about the engineering behind GraphQL Cardinal: bit.ly/3RHwvXm

    #InfoQ #SoftwareArchitecture #DistributedSystems #Performance #LowLatency #GraphQL #Microservices

  26. Shopify has unveiled GraphQL Cardinal, a new execution engine replacing depth-first traversal with breadth-first execution.

    Cardinal delivers performance improvements:
    ⚡ Up to 15× faster field execution
    ⚡ 6× lower garbage collection overhead
    ⚡ More than 4 seconds improvement in P50 latency

    🔗 Learn more about the engineering behind GraphQL Cardinal: bit.ly/3RHwvXm

  27. Cross-Vendor Latency Tech Arrives for Linux Gamers

    How does the new low_latency_layer help Linux gamers? It reduces input lag for AMD and Intel users by using NVIDIA Reflex technology on May 20, 2026.

    #linuxgaming, #lowlatency, #gamingtech, #vulkan, #pcgaming

    newsletter.tf/linux-low-latenc

  28. Linux gamers can now use NVIDIA Reflex and AMD Anti-Lag 2 on any GPU. This tool makes Linux gaming 15% faster in response time compared to last month.

    #linuxgaming, #lowlatency, #gamingtech, #vulkan, #pcgaming
    newsletter.tf/linux-low-latenc

  29. #OpenAI has launched a #WebSocket-based execution mode for its Responses API to improve the performance of agentic workflows used in coding agents and real-time AI systems.

    The Impact: early production use shows up to 40% latency reduction and improved throughput in high-concurrency scenarios.

    Learn more: bit.ly/3Pg3ZuS

    #InfoQ #SoftwareArchitecture #API #AIAgents #LowLatency

  30. #OpenAI has launched a #WebSocket-based execution mode for its Responses API to improve the performance of agentic workflows used in coding agents and real-time AI systems.

    The Impact: early production use shows up to 40% latency reduction and improved throughput in high-concurrency scenarios.

    Learn more: bit.ly/3Pg3ZuS

    #InfoQ #SoftwareArchitecture #API #AIAgents #LowLatency

  31. has launched a -based execution mode for its Responses API to improve the performance of agentic workflows used in coding agents and real-time AI systems.

    The Impact: early production use shows up to 40% latency reduction and improved throughput in high-concurrency scenarios.

    Learn more: bit.ly/3Pg3ZuS

  32. #Cloudflare announced the closed beta of Flagship - a feature flag service built directly into its global edge platform.

    Teams can control feature rollouts and experiment without redeploying code, while evaluating flags locally in Cloudflare Workers instead of calling external flag services.

    Learn more ⇨ bit.ly/4wdUHQL

    #InfoQ #DevOps #ContinuousDelivery #LowLatency #EdgeComputing

  33. announced the closed beta of Flagship - a feature flag service built directly into its global edge platform.

    Teams can control feature rollouts and experiment without redeploying code, while evaluating flags locally in Cloudflare Workers instead of calling external flag services.

    Learn more ⇨ bit.ly/4wdUHQL

  34. PitchCure by Saint Mike DSP 🎤
    Natural vocal tuning, vibrato protection, MIDI sync, auto key/scales, 1-knob EQ, low-latency mode

    💻 Mac/Win (VST3/AU/AAX)
    🎁 FREE saintmikedsp.com/plugins/pitch

    More freeware 👉 linktr.ee/legalvst

    #freeplugin #pitchcorrection #vocalplugin #saintmikedsp #midi #lowlatency #transparenttuning

  35. PitchCure by Saint Mike DSP 🎤
    Natural vocal tuning, vibrato protection, MIDI sync, auto key/scales, 1-knob EQ, low-latency mode

    💻 Mac/Win (VST3/AU/AAX)
    🎁 FREE saintmikedsp.com/plugins/pitch

    More freeware 👉 linktr.ee/legalvst

    #freeplugin #pitchcorrection #vocalplugin #saintmikedsp #midi #lowlatency #transparenttuning

  36. FPV MICRO-CONTROL — PRACTICAL HACKS

    ---

    1. Stick Contact

    Don’t press — rest on the stick
    Pressure = tremor + muscle overload

    Fingertip (edge) contact
    Control from the tip edge → smaller amplitude

    Dry fingers
    Slipping = loss of micro-control (wipe / chalk if needed)

    ---

    2. Micro Movements

    Move ≠ hold
    Use short impulses, not sustained positions

    1–2 mm rule
    Around center, movements stay within a few millimeters

    Pause between corrections
    Lets the system respond, reduces oscillation

    ---

    3. Vision & Trajectory

    Look at the exit, not the obstacle
    Your eyes lead the drone

    Focus on the path/horizon
    Don’t fixate on details → more stable control

    Predict 0.5–1 s ahead
    Otherwise you’re always late

    ---

    4. Control Rhythm

    Fly in pulses
    Input → pause → input → pause

    Sync throttle + pitch
    Channels shouldn’t fight each other

    ---

    5. Throttle

    Don’t hold constant throttle
    Causes drift and overcorrection

    Use micro throttle pulses
    Better altitude hold

    Memorize throttle mid
    Your altitude “zero”

    ---

    6. Body Tension

    Relax shoulders → reduces finger tremor

    Breathing: short exhale before a tricky move

    Support elbows/palms → added stability

    ---

    7. Tuning for Physiomotor Control

    Expo 0.2–0.4 → finer center control

    Lower center sensitivity → less twitchiness

    Don’t overdo feedforward → avoids nervous feel

    ---

    8. Anti-Tremor

    Before flying:

    warm up fingers (30–60 s)

    a few dry stick movements

    If you’re shaky: → fly 2–3 slow circles
    → nervous system stabilizes

    ---

    9. Simulator as a Tool

    10–15 min daily > 2 hours once a week

    train slow flight, not speed

    practice clean lines, not tricks

    ---

    10. Core Principle

    If you’re correcting often — you’re already late.

    Solution: → fewer inputs
    → more prediction
    → consistent rhythm

    #FPV #FPVDrone #DroneControl #MicroControl #PrecisionFlying #DronePiloting #FPVFreestyle #FPVRacing #StickControl #FineMotorSkills #HandEyeCoordination #Sensorimotor #FlightControl #DroneSkills #FPVTraining #DroneSimulator #ThrottleControl #PIDTuning #RCControl #AerialControl #DroneTech #LowLatency #Feedforward #ExpoSettings #ControlTheory

  37. #SoftwareArchitecture makes your system fast ➔ #Culture keeps it fast 💪

    Sub-100ms APIs come from disciplined design:
    • Latency budgets & async fan-out
    • Layered caching & circuit breakers
    • Observability

    Long-term performance requires teams that treat #performance as a continuous responsibility - tracking p99, monitoring drift, and managing thread pools.

    🔗 bit.ly/4stLXUI

    #InfoQ #LowLatency