GitLab 17.9 introduces support for self-hosted AI platforms, allowing organizations to deploy large language models within their infrastructure. This enhances data security, compliance, and performance for industries with strict regulatory requirements.
AGNTCY is an open-source collective building infrastructure for AI agents to collaborate, led by Cisco, LangChain, Galileo, and other contributors. The initiative aims to create an open, interoperable foundation for agentic AI systems to work together seamlessly across different frameworks and vendors.
AGNTCY plans to develop key components such as an agent directory, an open agent schema framework, and an agent connect protocol to facilitate this interoperability.
AGNTCY plans to develop key components such as an agent directory, an open agent schema framework, and an agent connect protocol to facilitate this interoperability.
Researchers discovered that renewable energy facilities across Central Europe use unencrypted radio signals to control power generation, posing a potential threat to the grid. If intercepted and manipulated, these signals could disrupt grid stability by causing power imbalances, possibly leading to a continent-wide blackout. This raises significant concerns about the security measures currently in place and the need for more secure alternatives like iMSys, which uses encrypted LTE for communication.
This blog post provides a high-level overview of PPeC (PhonePe Cloud) Agent’s architecture, its interaction with the PPeC API and PPeC Proxy, and how it optimizes tasks such as VM creation, resource allocation, and dynamic disk management.
HashiConf 2024 revealed updates including Terraform 2.0 and HCP Waypoint, amidst the backdrop of the IBM acquisition.
The US Commerce Department has proposed new rules requiring developers of large AI models and those providing the infrastructure to train them to report details about their operations. This is in response to concerns about the potential risks posed by advanced AI, including its potential use in cybercrime and the development of weapons.
Run:ai offers a platform to accelerate AI development, optimize GPU utilization, and manage AI workloads. It is designed for GPUs, offers CLI & GUI interfaces, and supports various AI tools & frameworks.
Encore is an open-source backend framework and cloud platform for building distributed systems. It automates infrastructure, offers end-to-end type-safety, and provides built-in observability.
- Automated Infrastructure:
Local & Cloud (AWS/GCP) provisioning
Infrastructure semantics within application code
No separate config tools needed
- Type-Safe Microservices:
Define & call APIs like normal functions
Full type-safety & IDE auto-complete
Automatic protocol communication boilerplate
- Faster Development:
Hot reload & automatic local infrastructure setup
Simplified, speedier development process
Observability:
API explorer, distributed tracing, architecture diagrams
Service catalog with automatic API documentation
- Cloud Platform:
Seamless workflow with CI/CD, testing, & infrastructure provisioning
Preview environments for every PR
- Security & Scalability:
Battle-tested AWS/GCP services
Best practices for security & scalability
Metrics & logging for critical aspects
- Automated Infrastructure:
Local & Cloud (AWS/GCP) provisioning
Infrastructure semantics within application code
No separate config tools needed
- Type-Safe Microservices:
Define & call APIs like normal functions
Full type-safety & IDE auto-complete
Automatic protocol communication boilerplate
- Faster Development:
Hot reload & automatic local infrastructure setup
Simplified, speedier development process
Observability:
API explorer, distributed tracing, architecture diagrams
Service catalog with automatic API documentation
- Cloud Platform:
Seamless workflow with CI/CD, testing, & infrastructure provisioning
Preview environments for every PR
- Security & Scalability:
Battle-tested AWS/GCP services
Best practices for security & scalability
Metrics & logging for critical aspects
Microsoft revealed a new AI tool called Infra Copilot, which uses its existing GitHub Copilot to create infrastructure code.
Infra Copilot is designed to understand the context of infrastructure tasks and generate appropriate code suggestions based on natural language prompts.
The tool can streamline the coding process, enabling professionals to focus on higher-level tasks.
It also provides standardized code snippets for consistency across different environments.
Infra Copilot is available now to programmers with a recent Visual Studio Code version and a GitHub Copilot license.
Microsoft has also launched GitHub Copilot Enterprise, using data from a company's own code repositories to generate code and answer questions, priced at $39 per month per user.
Infra Copilot is designed to understand the context of infrastructure tasks and generate appropriate code suggestions based on natural language prompts.
The tool can streamline the coding process, enabling professionals to focus on higher-level tasks.
It also provides standardized code snippets for consistency across different environments.
Infra Copilot is available now to programmers with a recent Visual Studio Code version and a GitHub Copilot license.
Microsoft has also launched GitHub Copilot Enterprise, using data from a company's own code repositories to generate code and answer questions, priced at $39 per month per user.
