AI Agents and Developer Infrastructure #105

Today's Letter

  1. Meta, Muse Glimmer 30B Local Agent Model Released
  2. Atlassian StreamHub shifts from Kinesis to Kafka

Meta, Muse Glimmer 30B Local Agent Model Released

Meta, Muse Glimmer 30B Local Agent Model Released
  • Meta released Muse Glimmer, a 30B-parameter open-weight dense model for long-running local agent workflows
  • The model provides a 120K+ context window for multi-step tool use and sustained sessions
  • Its dense architecture activates all parameters per token, targeting predictable latency and long-context coherence
  • NVIDIA supports local inference on GeForce RTX 5090, DGX Spark, DGX Station, and Jetson
  • Deployment options include NVIDIA NIM containers, SGLang, vLLM, and the NemoClaw agent harness
  • Developers can fine-tune the model with SFT and LoRA through NVIDIA NeMo AutoModel

Source: developer.nvidia.com


Atlassian StreamHub shifts from Kinesis to Kafka

Atlassian StreamHub shifts from Kinesis to Kafka
  • According to the report, Atlassian moved StreamHub from Amazon Kinesis to AWS MSK-based Kafka as event volume grew
  • StreamHub reportedly ingests more than 150 billion events and delivers more than 225 billion events per day
  • Average throughput is about 1.68 million events per second, with peaks above 3.2 million
  • Kafka Tiered Storage moves older log segments to Amazon S3, reducing long-term EBS requirements and isolating backfills from real-time consumers
  • The operating model adds broker-level capacity planning, deliberate network and disk headroom, quotas, rate limits, and quarantine paths
  • Multiple Kafka shards and a separate failover cluster provide recovery options when the managed service control plane is impaired
  • Reported constraints include broker network and EBS limits, S3 request bursts, offload lag, storage-expansion cooldowns, and slow rebalancing

Source: news.hada.io
More: atlassian.com


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