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ReleaseBytes tracks official release notes, changelogs and platform updates from the platforms your team relies on, all in one continuously updated feed.
AWS Amazon Lightsail expands availability to Hong Kong, São Paulo, and Spain
Amazon Lightsail is now available in three new AWS Regions: Asia Pacific (Hong Kong), South America (São Paulo), and Europe (Spain). This expansion allows customers in these geographies to benefit from lower latency, improved performance, and local data residency options. Developers and businesses in these regions can now access Lightsail's full suite of services, including instances, managed databases, and container services, with simple pricing. Resources can be provisioned via the Lightsail Console, AWS CLI, or SDKs.
GCP Media CDN cache size increased, adds edge location country codes
Media CDN now supports up to 1 TiB cacheable object sizes upon request, enhancing its capacity for large media files. Additionally, a new feature allows users to identify the country codes of edge caches serving client requests. Both features are now Generally Available, impacting users handling large content or needing granular edge performance insights.
Azure Azure deprecates GPv1 and legacy Blob storage
Azure is retiring GPv1 and legacy Blob storage accounts, impacting users who rely on these older storage types. This change encourages migration to newer, more performant storage account types. The retirement is proceeding in phases, with specific dates for each stage to be communicated.
OpenAI OpenAI launches Academy courses for AI skills
OpenAI has introduced three new Academy courses focused on building practical AI skills, creating repeatable workflows, and applying agents in daily work. These courses aim to equip individuals with the capabilities needed for the evolving professional landscape. The courses are available now for those looking to enhance their AI proficiency.
Anthropic Python SDK v0.109.0 adds Managed Agents API support
Anthropic's Python SDK has been updated to version 0.109.0, introducing support for Managed Agents deployments. This feature allows developers to leverage advanced agent capabilities within their applications. The update also includes support for environment variable credentials, simplifying authentication for users. This release is now available for all users of the Python SDK.
Databricks SDK for Python v0.117.0
Databricks has released version 0.117.0 of its SDK for Python. This update includes a variety of enhancements and bug fixes across different areas of the SDK. Key changes focus on improving the stability and functionality for developers working with Databricks services.
Copilot code review: Enhanced configuration and content controls
GitHub Copilot code review now offers expanded configuration options, including organization-level runner controls and content exclusion support for specified files or directories. These updates aim to simplify setup and provide greater control over how Copilot analyzes code within repositories and organizations. Previously, custom instructions were limited by a character count, which has now been removed, allowing for more extensive customization.
Terraform MCP server 1.0 now generally available
Terraform MCP server 1.0 is now generally available, offering consistent infrastructure deployment with flexible options across an organization. This release aims to ensure uniformity in infrastructure management. It is now production-ready for all users.
Python Python 3.15.0 beta 1 released
Python has released the first beta of version 3.15.0. This prerelease milestone indicates significant development progress towards the final stable release. It is available for testing by developers and early adopters who wish to explore new features and provide feedback before general availability.
AI Shifts Data Engineering: Declarative Pipelines and Agentic Future
Data engineering is shifting towards a declarative approach to handle AI's demands and evolving from manual tasks to strategic execution. This allows for more efficient pipeline development, enabling the integration of AI tools like coding agents, which are adept at modern, software-defined data engineering practices. The future role of data engineers will focus on advanced data modeling and system architecture, ensuring data quality and availability for AI and applications, as detailed in a new guide on building resilient data pipelines.