Redis vs Tiger Data

Redis expands strategic collaboration agreement with AWS to accelerate real-time data and AI apps

Redis announced an expansion of its strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to help organizations build, modernize, and scale real-time and AI-powered applications on AWS. The expanded collaboration focuses on four areas: accelerating production AI apps, modernizing mission-critical apps, simplifying procurement through AWS Marketplace, and expanding customer engagement. Redis Cloud is already available through AWS Marketplace.

• Redis announced an expansion of its strategic collaboration agreement (SCA) with AWS on September 29, 2026.
• The collaboration focuses on four areas: accelerating production AI apps, modernizing mission critical apps, simplifying procurement through AWS Marketplace, and expanding customer engagement.
• Redis Cloud is available today through AWS Marketplace, allowing customers to purchase Redis using their existing AWS account and procurement processes.

The official FastAPI Redis SDK is now available

Redis announced the official FastAPI Redis SDK, developed in collaboration with the FastAPI team. The SDK integrates Redis with FastAPI's dependency model, offering lifecycle-bound connection management, sync and async dependencies, caching, cache-control headers, and rate limiting. It supports self-managed FastAPI and FastAPI Cloud, which is in public beta and includes Redis Cloud as a native integration. The package is available on PyPI.

• Redis released the official FastAPI Redis SDK, built with the FastAPI team and available on PyPI.
• The SDK provides lifecycle-bound connection management, sync and async dependencies, caching, cache-control headers, and rate limiting.
• It supports self-managed FastAPI and FastAPI Cloud, now in public beta, with Redis Cloud as a native integration.

Announcing Redis 8.10: Compact Hash, JSONPath extensions, performance improvements, & more

Redis 8.10 introduces Compact Hash, JSONPath extensions, and performance improvements. The blog post is dated September 14, 2026.

Configure LiteLLM as Codex Model Provider

A developer guide demonstrating how to route Codex to use LiteLLM as a custom model provider. The post explains exposing a LiteLLM API key as an OS environment variable, updating Codex's .codex/config.toml to set model_provider to 'litellm' and add provider-specific fields (base_url, env_key, wire_api, streaming options), setting optional custom HTTP headers, and noting that session models are fixed at session creation. The author also advises verifying usage via LiteLLM dashboard logs and links to LiteLLM and Codex documentation for reference.

• Author Julia Shevchenko published a how-to on dev.to on 2026-08-28 about configuring LiteLLM as a gateway for Codex.
• LiteLLM exposes an OpenAI-compatible interface and can act as a gateway for LLMs.
• Required steps include setting LITELLM_API_KEY as an OS environment variable and updating .codex/config.toml to set model_provider = "litellm" and provider-specific settings (base_url, env_key, wire_api, streaming options).

Python 3.15 Release Candidate and Highlights

Python 3.15 has reached Release Candidate 1 with the final release expected on October 1, 2026. Key changes include lazy imports for faster startup, UTF-8 as the default encoding, a built-in immutable mapping (frozendict-style), continued JIT compiler improvements with early benchmarks (roughly 8–9% on Linux and larger gains on Apple Silicon), and a new low-overhead sampling profiler called Tachyon. Free-threaded (no-GIL) builds remain opt-in but gain maturity and improved ABI support for C extensions. The release focuses on performance, tooling, and developer experience rather than major language syntax changes.

• Python 3.15 has reached Release Candidate 1; final release expected on 2026-10-01.
• Python 3.15 introduces lazy imports to reduce startup time by loading modules only when needed.
• UTF-8 becomes the default encoding in Python 3.15.

Claude hooks ntfy for iOS Announce Notifications

A developer posted an open-source project that connects Claude code hooks to ntfy iOS Announce Notifications so a locked iPhone can speak when an LLM prompt finishes or requires user attention. The project (claude-speaks) is implemented in standard-library Python with no external dependencies and is published on GitHub. The post was published on DEV Community by Shamail Tayyab on 2026-08-18.

• Shamail Tayyab published a DEV Community post on 2026-08-18 describing the project.
• The project repository is github.com/pleomax00/claude-speaks.
• The tool uses stdlib Python with zero dependencies.