#cloud communication api

[voiceapisolutions]

cloud communication api

Cloud communication APIs have revolutionized the way businesses and applications communicate. These APIs enable developers to quickly create and implement robust communication features without dealing with complicated infrastructure. They can efficiently handle large messages and calls, adjusting to demand without requiring extra effort from developers. Operating on reliable cloud infrastructure, these APIs ensure high availability, guaranteeing that communication services are consistently operational. Developers have a variety of services to choose from, including SMS, voice, video, chat, and email, which they can integrate into their applications as necessary.

[phonesuite]

This blog post will give you an in-depth look at everything from API integration to connecting your switch with channel management systems, streamlining the operations performance of the hotel business. Learn More...

[jcmarchi]

How to build autonomous AI agent with Google A2A protocol

New Post has been published on https://thedigitalinsider.com/how-to-build-autonomous-ai-agent-with-google-a2a-protocol/

How to build autonomous AI agent with Google A2A protocol

Why do we need autonomous AI agents?

Picture this: it’s 3 a.m., and a customer on the other side of the globe urgently needs help with their account. A traditional chatbot would wake up your support team with an escalation. But what if your AI agent could handle the request autonomously, safely, and correctly? That’s the dream, right?

The reality is that most AI agents today are like teenagers with learner’s permits; they need constant supervision. They might accidentally promise a customer a large refund (oops!) or fall for a clever prompt injection that makes them spill company secrets or customers’ sensitive data. Not ideal.

This is where Double Validation comes in. Think of it as giving your AI agent both a security guard at the entrance (input validation) and a quality control inspector at the exit (output validation). With these safeguards at a minimum in place, your agent can operate autonomously without causing PR nightmares.

How did I come up with the Double Validation idea?

These days, we hear a lot of talk about AI agents. I asked myself, “What is the biggest challenge preventing the widespread adoption of AI agents?” I concluded that the answer is trustworthy autonomy. When AI agents can be trusted, they can be scaled and adopted more readily. Conversely, if an agent’s autonomy is limited, it requires increased human involvement, which is costly and inhibits adoption.

Next, I considered the minimal requirements for an AI agent to be autonomous. I concluded that an autonomous AI agent needs, at minimum, two components:

Input validation – to sanitize input, protect against jailbreaks, data poisoning, and harmful content.

Output validation – to sanitize output, ensure brand alignment, and mitigate hallucinations.

I call this system Double Validation.

Given these insights, I built a proof-of-concept project to research the Double Validation concept.

In this article, we’ll explore how to implement Double Validation by building a multiagent system with the Google A2A protocol, the Google Agent Development Kit (ADK), Llama Prompt Guard 2, Gemma 3, and Gemini 2.0 Flash, and how to optimize it for production, specifically, deploying it on Google Vertex AI.

For input validation, I chose Llama Prompt Guard 2 just as an article about it reached me at the perfect time. I selected this model because it is specifically designed to guard against prompt injections and jailbreaks. It is also very small; the largest variant, Llama Prompt Guard 2 86M, has only 86 million parameters, so it can be downloaded and included in a Docker image for cloud deployment, improving latency. That is exactly what I did, as you’ll see later in this article.

How to build it?

The architecture uses four specialized agents that communicate through the Google A2A protocol, each with a specific role:

Image generated by author

Here’s how each agent contributes to the system:

Manager Agent: The orchestra conductor, coordinating the flow between agents

Safeguard Agent: The bouncer, checking for prompt injections using Llama Prompt Guard 2

Processor Agent: The worker bee, processing legitimate queries with Gemma 3

Critic Agent: The editor, evaluating responses for completeness and validity using Gemini 2.0 Flash

I chose Gemma 3 for the Processor Agent because it is small, fast, and can be fine-tuned with your data if needed — an ideal candidate for production. Google currently supports nine (!) different frameworks or methods for finetuning Gemma; see Google’s documentation for details.

I chose Gemini 2.0 Flash for the Critic Agent because it is intelligent enough to act as a critic, yet significantly faster and cheaper than the larger Gemini 2.5 Pro Preview model. Model choice depends on your requirements; in my tests, Gemini 2.0 Flash performed well.

I deliberately used different models for the Processor and Critic Agents to avoid bias — an LLM may judge its own output differently from another model’s.

Let me show you the key implementation of the Safeguard Agent:

Plan for actions

The workflow follows a clear, production-ready pattern:

User sends query → The Manager Agent receives it.

Safety check → The Manager forwards the query to the Safeguard Agent.

Vulnerability assessment → Llama Prompt Guard 2 analyzes the input.

Processing → If the input is safe, the Processor Agent handles the query with Gemma 3.

Quality control → The Critic Agent evaluates the response.

Delivery → The Manager Agent returns the validated response to the user.

Below is the Manager Agent’s coordination logic:

Time to build it

Ready to roll up your sleeves? Here’s your production-ready roadmap:

Local deployment

1. Environment setup 

2. Configure API keys 

3. Download Llama Prompt Guard 2 

This is the clever part – we download the model once when we start Agent Critic for the first time and package it in our Docker image for cloud deployment:

Important Note about Llama Prompt Guard 2: To use the Llama Prompt Guard 2 model, you must:

Fill out the “LLAMA 4 COMMUNITY LICENSE AGREEMENT” at https://huggingface.co/meta-llama/Llama-Prompt-Guard-2-86M

Get your request to access this repository approved by Meta

Only after approval will you be able to download and use this model

4. Local testing 

Screenshot for running main.py

Image generated by author

Screenshot for running client

Image generated by author

Screenshot for running tests

Image generated by author

Production Deployment 

Here’s where it gets interesting. We optimize for production by including the Llama model in the Docker image:

1. Setup Cloud Project in Cloud Shell Terminal

Access Google Cloud Console: Go to https://console.cloud.google.com

Open Cloud Shell: Click the Cloud Shell icon (terminal icon) in the top right corner of the Google Cloud Console

Authenticate with Google Cloud:

Create or select a project:

Enable required APIs:

3. Setup Vertex AI Permissions

Grant your account the necessary permissions for Vertex AI and related services:

3. Create and Setup VM Instance

Cloud Shell will not work for this project as Cloud Shell is limited to 5GB of disk space. This project needs more than 30GB of disk space to build Docker images, get all dependencies, and download the Llama Prompt Guard 2 model locally. So, you need to use a dedicated VM instead of Cloud Shell.

4. Connect to VM

Screenshot for VM 

Image generated by author

5. Clone Repository

6. Deployment Steps

Screenshot for agents in cloud 

Image generated by author

7. Testing 

Screenshot for running client in Google Vertex AI

Image generated by author

Screenshot for running tests in Google Vertex AI

Image generated by author

Alternatives to Solution

Let’s be honest – there are other ways to skin this cat:

Single Model Approach: Use a large LLM like GPT-4 with careful system prompts

Simpler but less specialized

Higher risk of prompt injection

Risk of LLM bias in using the same LLM for answer generation and its criticism

Monolith approach: Use all flows in just one agent

Latency is better

Cannot scale and evolve input validation and output validation independently

More complex code, as it is all bundled together

Rule-Based Filtering: Traditional regex and keyword filtering

Faster but less intelligent

High false positive rate

Commercial Solutions: Services like Azure Content Moderator or Google Model Armor

Easier to implement but less customizable

On contrary, Llama Prompt Guard 2 model can be fine-tuned with the customer’s data

Ongoing subscription costs

Open-Source Alternatives: Guardrails AI or NeMo Guardrails

Good frameworks, but require more setup

Less specialized for prompt injection

Lessons Learned

1. Llama Prompt Guard 2 86M has blind spots. During testing, certain jailbreak prompts, such as:

And

were not flagged as malicious. Consider fine-tuning the model with domain-specific examples to increase its recall for the attack patterns that matter to you.

2. Gemini Flash model selection matters. My Critic Agent originally used gemini1.5flash, which frequently rated perfectly correct answers 4 / 5. For example:

After switching to gemini2.0flash, the same answers were consistently rated 5 / 5:

3. Cloud Shell storage is a bottleneck. Google Cloud Shell provides only 5 GB of disk space — far too little to build the Docker images required for this project, get all dependencies, and download the Llama Prompt Guard 2 model locally to deploy the Docker image with it to Google Vertex AI. Provision a dedicated VM with at least 30 GB instead.

Conclusion

Autonomous agents aren’t built by simply throwing the largest LLM at every problem. They require a system that can run safely without human babysitting. Double Validation — wrapping a task-oriented Processor Agent with dedicated input and output validators — delivers a balanced blend of safety, performance, and cost. 

Pairing a lightweight guard such as Llama Prompt Guard 2 with production friendly models like Gemma 3 and Gemini Flash keeps latency and budget under control while still meeting stringent security and quality requirements.

Join the conversation. What’s the biggest obstacle you encounter when moving autonomous agents into production — technical limits, regulatory hurdles, or user trust? How would you extend the Double Validation concept to high-risk domains like finance or healthcare?

Connect on LinkedIn: https://www.linkedin.com/in/alexey-tyurin-36893287/  

The complete code for this project is available at github.com/alexey-tyurin/a2a-double-validation. 

References

[1] Llama Prompt Guard 2 86M, https://huggingface.co/meta-llama/Llama-Prompt-Guard-2-86M

[2] Google A2A protocol, https://github.com/google-a2a/A2A 

[3] Google Agent Development Kit (ADK), https://google.github.io/adk-docs/ 

[golden42]

Lazy Loading Page Speed Optimization: Efficient Practices & Tips

Key Takeaways

Lazy loading can significantly improve page speed by loading only necessary content initially, reducing initial load times.

Implementing lazy loading can save bandwidth, which is crucial for users on limited data plans.

This technique enhances user experience by ensuring faster interactions and smoother scrolling.

SEO can benefit from lazy loading as search engines prefer faster websites, potentially improving rankings.

To effectively implement lazy loading, use browser-native features and ensure compatibility across different devices.

Enhancing Web Performance with Lazy Loading

In today's fast-paced digital world, web performance is more critical than ever. Slow websites can drive users away, impacting engagement and conversions. One powerful technique to boost performance is lazy loading. By understanding and implementing lazy loading, you can optimize your website's speed and efficiency, keeping your visitors engaged and satisfied.

Understanding the Need for Speed

Users expect websites to load quickly and efficiently.

Slow loading times can lead to higher bounce rates.

Improved speed enhances user satisfaction and retention.

Most importantly, speed is not just a luxury; it's a necessity. Users are increasingly impatient, and a delay of even a few seconds can cause them to abandon your site. Therefore, ensuring that your site loads swiftly is crucial for maintaining user interest and engagement.

Lazy loading offers a solution by optimizing the loading process. Instead of loading every element of a page at once, lazy loading prioritizes essential content and defers non-essential elements. This approach can make a dramatic difference in how quickly your site feels to users.

Lazy Loading: A Game Changer for Web Efficiency

Lazy loading is more than just a buzzword; it's a transformative technique for web optimization. By deferring the loading of non-essential elements, such as images and videos, until they are needed, lazy loading reduces the initial load time of a webpage.

Images and videos load only when they enter the viewport.

Reduces server requests, enhancing page speed.

Particularly beneficial for mobile users with limited bandwidth.

Besides that, lazy loading helps in conserving resources, which is particularly beneficial for mobile users who might be on limited data plans. By only loading what's necessary, users experience faster interactions and smoother scrolling, which can significantly improve their overall experience.

Eager Loading: When Immediate Isn't Ideal

Eager loading, the opposite of lazy loading, involves loading all page elements at once. While this approach might seem straightforward, it can lead to longer initial load times, especially on content-heavy pages. Therefore, eager loading is not always the best choice, particularly when dealing with large images or videos.

Lazy loading, on the other hand, ensures that your website delivers essential content swiftly, making it an ideal choice for optimizing page speed and improving user experience.

Benefits of Lazy Loading

Lazy loading isn't just about speed; it's about creating a seamless and efficient user experience. Let's delve into the various benefits it offers.

Faster Initial Load Times

By loading only the necessary elements initially, lazy loading significantly reduces the time it takes for a page to become interactive. Users can start engaging with the content almost immediately, without waiting for all elements to load.

This immediate engagement is crucial in retaining user interest. For instance, if your homepage loads quickly, users are more likely to explore further, increasing the chances of conversion.

Additionally, faster load times can have a positive impact on your website's bounce rate. Users are less likely to leave if they don't have to wait for content to load, which can improve your site's overall performance metrics.

Loading Images Efficiently

Images often account for the majority of a webpage's load time. By implementing lazy loading for images, you can significantly improve your page speed. This involves loading images only when they are about to enter the viewport. As a result, users won't have to wait for all images to load before they can interact with your content.

To do this effectively, you can use the loading="lazy" attribute in your image tags. This attribute tells the browser to defer loading the image until it is close to being visible. Additionally, consider using responsive image techniques to serve different image sizes based on the user's device, further optimizing load times.

Handling Videos and Media Content

Videos and other media content can be resource-intensive, causing significant delays in load times if not managed properly. Lazy loading can also be applied to these elements. By embedding videos with lazy loading techniques, you ensure they only load when a user scrolls to them.

For example, instead of directly embedding a video, use a thumbnail image with a play button overlay. When the user clicks the play button, the video loads and plays. This not only saves bandwidth but also improves the initial loading speed of the page.

JavaScript and CSS Deferred Loading

JavaScript and CSS files are essential for modern web applications, but they can also be a bottleneck if not handled correctly. Lazy loading these resources involves deferring their loading until they are needed. This can be achieved using the defer and async attributes for JavaScript files.

The defer attribute ensures that the script is executed after the HTML document has been parsed, while the async attribute allows the script to be executed as soon as it's available. For CSS, consider using media queries to load stylesheets conditionally based on the user's device or viewport size.

Tips for Optimizing Lazy Loading

Implementing lazy loading is just the beginning. To truly optimize your website's performance, follow these additional tips and best practices.

Use Browser Native Features

Modern browsers offer native support for lazy loading, making it easier than ever to implement this technique. By using native features, you can ensure compatibility and reduce the need for third-party libraries, which can add unnecessary overhead.

To take advantage of these features, simply add the loading="lazy" attribute to your image and iframe tags. This simple addition can have a significant impact on your page speed, especially for image-heavy sites.

Besides, using native features ensures that your site remains future-proof, as browsers continue to enhance their support for lazy loading and other performance optimizations.

Minimize Default Image Size

Before applying lazy loading, it's crucial to optimize your images for size. Large images can still slow down load times, even with lazy loading. Use image compression tools to reduce file sizes without sacrificing quality.

Optimize Animations

Animations can enhance user experience, but they can also impact performance if not optimized. Use CSS animations instead of JavaScript whenever possible, as they are more efficient and can be hardware-accelerated by the browser.

Ensure that animations are smooth and don't cause layout shifts, which can negatively affect user experience. Test your animations on different devices to ensure they perform well across the board.

Remember, the goal is to create a seamless experience for your users. By optimizing animations, you can enhance the visual appeal of your site without compromising performance.

Test Across Multiple Devices

It's essential to test your website on a variety of devices and screen sizes. What works well on a desktop might not perform the same on a mobile device. Use tools like Google PageSpeed Insights to analyze your site's performance and identify areas for improvement.

Regular testing ensures that your lazy loading implementation works as intended across different platforms, providing a consistent experience for all users.

Overcoming Common Lazy Loading Challenges

While lazy loading offers numerous benefits, it's not without its challenges. Addressing these issues ensures that your implementation is successful and doesn't negatively impact your site.

Dealing with SEO Concerns

Lazy loading can sometimes interfere with search engine indexing if not implemented correctly. To ensure your content is indexed, use server-side rendering or provide fallbacks for search engines that may not execute JavaScript. For more insights, check out how lazy loading decreases load time and increases engagement.

Ensure all critical content is available without JavaScript.

Use structured data to help search engines understand your content.

Regularly monitor your site's indexing status in Google Search Console.

These strategies help maintain your site's visibility in search engine results, ensuring that lazy loading doesn't negatively impact your SEO efforts.

Addressing Browser Compatibility Issues

While most modern browsers support lazy loading, some older versions may not. To ensure compatibility, consider using a polyfill or fallback solutions for browsers that don't support lazy loading natively.

By addressing these compatibility issues, you can provide a consistent experience for all users, regardless of their browser choice. Regularly updating your site and testing on different browsers can help you identify and resolve any issues that arise.

Troubleshooting Loading Delays

Even with lazy loading implemented, you might encounter loading delays. This often happens when elements are not optimized or when there are too many third-party scripts running on your site. To troubleshoot these issues, start by identifying the elements that are causing delays. Use tools like Google Chrome's Developer Tools to pinpoint these elements and analyze their loading times.

Once you've identified the culprits, consider compressing images, deferring non-essential scripts, and minimizing the use of third-party plugins. By doing so, you can significantly reduce loading times and improve the overall performance of your website.

The Future of Lazy Loading in Web Development

Lazy loading is set to become an integral part of web development as websites continue to grow in complexity and size. With the increasing demand for faster and more efficient websites, lazy loading offers a practical solution to enhance user experience without compromising on content richness.

"Lazy loading is not just a trend; it's a necessity for modern web development. As websites evolve, so do the techniques we use to optimize them."

As more developers recognize the benefits of lazy loading, we can expect to see advancements in browser support and new tools that make implementation even easier. This evolution will ensure that lazy loading remains a vital component of web optimization strategies.

Emerging Technologies that Support Lazy Loading

Several emerging technologies are poised to enhance lazy loading capabilities. For instance, progressive web apps (PWAs) and server-side rendering (SSR) can work alongside lazy loading to deliver content more efficiently. PWAs offer offline capabilities and faster load times, while SSR ensures that content is rendered on the server, reducing the load on the client's device.

Additionally, advances in artificial intelligence and machine learning could further optimize lazy loading by predicting user behavior and preloading content accordingly. These technologies have the potential to revolutionize how we approach web performance optimization.

The Growing Importance of Mobile Optimization

As mobile usage continues to rise, optimizing websites for mobile devices has become more critical than ever. Lazy loading plays a crucial role in this optimization by reducing data usage and improving load times on mobile networks.

By implementing lazy loading, you can ensure that your mobile users have a seamless experience, regardless of their network conditions. This is particularly important for users in regions with slower internet speeds, where every byte counts.

Frequently Asked Questions

Lazy loading is a powerful tool, but it can also raise questions for those unfamiliar with its implementation. Here are some common questions and answers to help you better understand lazy loading and its impact on your website.

These insights will help you make informed decisions about implementing lazy loading on your site and address any concerns you may have.

"Lazy loading can seem daunting at first, but with the right guidance, it becomes an invaluable asset for web optimization."

What is lazy loading and how does it work?

Lazy loading is a technique that defers the loading of non-essential elements, such as images and videos, until they are needed. This reduces the initial load time of a webpage, allowing users to interact with the content more quickly. By only loading elements when they enter the viewport, lazy loading conserves resources and improves performance.

How does lazy loading affect page speed and SEO?

Lazy loading can significantly enhance page speed by reducing the number of elements that need to be loaded initially. This not only improves user experience but also positively impacts SEO. Search engines favor faster websites, which can lead to improved rankings.

However, it's essential to ensure that lazy loading is implemented correctly to avoid any negative impact on SEO. This includes providing fallbacks for search engines that may not execute JavaScript and ensuring that all critical content is accessible without JavaScript. For more insights, check out this beginner's guide to lazy loading.

By addressing these considerations, you can harness the benefits of lazy loading without compromising your site's visibility in search engine results.

"Faster websites are favored by both users and search engines, making lazy loading a win-win for performance and SEO."

Therefore, lazy loading is an effective strategy for enhancing both user experience and search engine rankings.

What types of content should be lazy loaded?

Lazy loading is particularly beneficial for large images, videos, and other media content that can slow down a webpage. By deferring these elements, you can ensure that users only load what they need, when they need it.

Additionally, lazy loading can be applied to JavaScript and CSS files, further optimizing load times. By prioritizing essential content and deferring non-essential elements, you can create a more efficient and user-friendly website.

Are there any drawbacks to implementing lazy loading?

While lazy loading offers numerous benefits, it does have some potential drawbacks. If not implemented correctly, it can interfere with search engine indexing and result in missing or delayed content. To mitigate these risks, ensure that your lazy loading implementation is compatible with search engines and provides fallbacks for non-JavaScript environments. For more insights, check out Boost Your Website Speed With Lazy Loading.

How do I verify if lazy loading is working on my site?

To verify that lazy loading is working, use browser developer tools to inspect the network activity. Check if images and other media elements are loading only when they enter the viewport. Additionally, tools like Google PageSpeed Insights can help you analyze your site's performance and confirm that lazy loading is functioning as intended.

By regularly monitoring your site's performance and addressing any issues that arise, you can ensure that lazy loading continues to enhance your website's speed and user experience.

[smsgatewayindia]

Start Your Own Business with SMPPCenter’s WhatsApp Business API Software

Discover how SMPPCenter’s innovative WhatsApp Business API software can help you start your own business. Seamlessly connect with the Meta cloud API, offer multi-channel support, and utilize our reseller white label program. Request a demo today!

[phonesuitedirect]

Choosing the right VoIP (Voice over Internet Protocol) phone service is a crucial decision for individuals and businesses alike. To make an informed choice, consider factors such as call quality, reliability, scalability, pricing, and customer support. Making the right choice can lead to cost savings, improved communication, and increased productivity for your business needs.

[romancepartner]

on linkedin to write recs for former coworkers and jesus fuck seeing “i used ai to write this!!!” at the end of posts. thank you for confirming you don’t have confidence in your ability to communicate clearly or efficiently or whatever garbage you have listed under ‘skills’. i don’t care if i’m called a luddite anymore, folks are in for a rude awakening when open ai starts charging for basic chatgpt and more for their api.

anyway old man yelling at cloud

[ellagrace20]

Cloud Migration and Integration A Strategic Shift Toward Scalable Infrastructure

In today’s digital-first business environment, cloud computing is no longer just a technology trend—it’s a foundational element of enterprise strategy. As organizations seek greater agility, scalability, and cost-efficiency, cloud migration and integration have emerged as critical initiatives. However, transitioning to the cloud is far from a lift-and-shift process; it requires thoughtful planning, seamless integration, and a clear understanding of long-term business objectives.

What is Cloud Migration and Why Does It Matter

Cloud migration involves moving data, applications, and IT processes from on-premises infrastructure or legacy systems to cloud-based environments. These environments can be public, private, or hybrid, depending on the organization’s needs. While the move offers benefits such as cost reduction, improved performance, and on-demand scalability, the true value lies in enabling innovation through flexible technology infrastructure.

But migration is only the first step. Cloud integration—the process of configuring applications and systems to work cohesively within the cloud—is equally essential. Without integration, businesses may face operational silos, inconsistent data flows, and reduced productivity, undermining the very purpose of migration.

Key Considerations in Cloud Migration

A successful cloud migration depends on more than just transferring workloads. It involves analyzing current infrastructure, defining the desired end state, and selecting the right cloud model and service providers. Critical factors include:

Application suitability: Not all applications are cloud-ready. Some legacy systems may need reengineering or replacement.

Data governance: Moving sensitive data to the cloud demands a strong focus on compliance, encryption, and access controls.

Downtime management: Minimizing disruption during the migration process is essential for business continuity.

Security architecture: Ensuring that cloud environments are resilient against threats is a non-negotiable part of migration planning.

Integration for a Unified Ecosystem

Once in the cloud, seamless integration becomes the linchpin for realizing operational efficiency. Organizations must ensure that their applications, databases, and platforms communicate efficiently in real time. This includes integrating APIs, aligning with enterprise resource planning (ERP) systems, and enabling data exchange across multiple cloud platforms.

Hybrid and Multi-Cloud Strategies

Cloud strategies have evolved beyond single-provider solutions. Many organizations now adopt hybrid (combining on-premise and cloud infrastructure) or multi-cloud (using services from multiple cloud providers) approaches. While this enhances flexibility and avoids vendor lock-in, it adds complexity to integration and governance.

To address this, organizations need a unified approach to infrastructure orchestration, monitoring, and automation. Strong integration frameworks and middleware platforms become essential in stitching together a cohesive IT ecosystem.

Long-Term Value of Cloud Transformation

Cloud migration and integration are not one-time projects—they are ongoing transformations. As business needs evolve, cloud infrastructure must adapt through continuous optimization, cost management, and performance tuning.

Moreover, integrated cloud environments serve as the foundation for emerging technologies like artificial intelligence, data analytics, and Internet of Things (IoT), enabling businesses to innovate faster and more efficiently.

By treating cloud migration and integration as strategic investments rather than tactical moves, organizations position themselves to stay competitive, agile, and future-ready.

[this-week-in-rust]

This Week in Rust 593

Hello and welcome to another issue of This Week in Rust! Rust is a programming language empowering everyone to build reliable and efficient software. This is a weekly summary of its progress and community. Want something mentioned? Tag us at @ThisWeekInRust on X (formerly Twitter) or @ThisWeekinRust on mastodon.social, or send us a pull request. Want to get involved? We love contributions.

This Week in Rust is openly developed on GitHub and archives can be viewed at this-week-in-rust.org. If you find any errors in this week's issue, please submit a PR.

Want TWIR in your inbox? Subscribe here.

Updates from Rust Community

Newsletters

The Embedded Rustacean Issue #42

This Week in Bevy - 2025-03-31

Project/Tooling Updates

Fjall 2.8

EtherCrab, the pure Rust EtherCAT MainDevice, version 0.6 released

A process for handling Rust code in the core kernel

api-version: axum middleware for header based version selection

SALT: a VS Code Extension, seeking participants in a study on Rust usabilty

Observations/Thoughts

Introducing Stringleton

Rust Any Part 3: Finally we have Upcasts

Towards fearless SIMD, 7 years later

LLDB's TypeSystems: An Unfinished Interface

Mutation Testing in Rust

Embedding shared objects in Rust

Rust Walkthroughs

Architecting and building medium-sized web services in Rust with Axum, SQLx and PostgreSQL

Solving the ABA Problem in Rust with Hazard Pointers

Building a CoAP application on Ariel OS

How to Optimize your Rust Program for Slowness: Write a Short Program That Finishes After the Universe Dies

Inside ScyllaDB Rust Driver 1.0: A Fully Async Shard-Aware CQL Driver Using Tokio

Building a search engine from scratch, in Rust: part 2

Introduction to Monoio: A High-Performance Rust Runtime

Getting started with Rust on Google Cloud

Miscellaneous

An AlphaStation's SROM

Real-World Verification of Software for Cryptographic Applications

Public mdBooks

[video] Networking in Bevy with ECS replication - Hennadii

[video] Intermediate Representations for Reactive Structures - Pete

Crate of the Week

This week's crate is candystore, a fast, persistent key-value store that does not require LSM or WALs.

Thanks to Tomer Filiba for the self-suggestion!

Please submit your suggestions and votes for next week!

Calls for Testing

An important step for RFC implementation is for people to experiment with the implementation and give feedback, especially before stabilization.

If you are a feature implementer and would like your RFC to appear in this list, add a call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.

No calls for testing were issued this week by Rust, Rust language RFCs or Rustup.

Let us know if you would like your feature to be tracked as a part of this list.

Call for Participation; projects and speakers

CFP - Projects

Always wanted to contribute to open-source projects but did not know where to start? Every week we highlight some tasks from the Rust community for you to pick and get started!

Some of these tasks may also have mentors available, visit the task page for more information.

If you are a Rust project owner and are looking for contributors, please submit tasks here or through a PR to TWiR or by reaching out on X (formerly Twitter) or Mastodon!

CFP - Events

Are you a new or experienced speaker looking for a place to share something cool? This section highlights events that are being planned and are accepting submissions to join their event as a speaker.

* Rust Conf 2025 Call for Speakers | Closes 2025-04-29 11:59 PM PDT | Seattle, WA, US | 2025-09-02 - 2025-09-05

If you are an event organizer hoping to expand the reach of your event, please submit a link to the website through a PR to TWiR or by reaching out on X (formerly Twitter) or Mastodon!

Updates from the Rust Project

438 pull requests were merged in the last week

Compiler

allow defining opaques in statics and consts

avoid wrapping constant allocations in packed structs when not necessary

perform less decoding if it has the same syntax context

stabilize precise_capturing_in_traits

uplift clippy::invalid_null_ptr_usage lint as invalid_null_arguments

Library

allow spawning threads after TLS destruction

override PartialOrd methods for bool

simplify expansion for format_args!()

stabilize const_cell

Rustdoc

greatly simplify doctest parsing and information extraction

rearrange Item/ItemInner

Clippy

new lint: char_indices_as_byte_indices

add manual_dangling_ptr lint

respect #[expect] and #[allow] within function bodies for missing_panics_doc

do not make incomplete or invalid suggestions

do not warn about shadowing in a destructuring assigment

expand obfuscated_if_else to support {then(), then_some()}.unwrap_or_default()

fix the primary span of redundant_pub_crate when flagging nameless items

fix option_if_let_else suggestion when coercion requires explicit cast

fix unnested_or_patterns suggestion in let

make collapsible_if recognize the let_chains feature

make missing_const_for_fn operate on non-optimized MIR

more natural suggestions for cmp_owned

collapsible_if: prevent including preceeding whitespaces if line contains non blanks

properly handle expansion in single_match

validate paths in disallowed_* configurations

Rust-Analyzer

allow crate authors to control completion of their things

avoid relying on block_def_map() needlessly

fix debug sourceFileMap when using cppvsdbg

fix format_args lowering using wrong integer suffix

fix a bug in orphan rules calculation

fix panic in progress due to splitting unicode incorrectly

use medium durability for crate-graph changes, high for library source files

Rust Compiler Performance Triage

Positive week, with a lot of primary improvements and just a few secondary regressions. Single big regression got reverted.

Triage done by @panstromek. Revision range: 4510e86a..2ea33b59

Summary:

(instructions:u) mean range count Regressions ❌ (primary) - - 0 Regressions ❌ (secondary) 0.9% [0.2%, 1.5%] 17 Improvements ✅ (primary) -0.4% [-4.5%, -0.1%] 136 Improvements ✅ (secondary) -0.6% [-3.2%, -0.1%] 59 All ❌✅ (primary) -0.4% [-4.5%, -0.1%] 136

Full report here.

Approved RFCs

Changes to Rust follow the Rust RFC (request for comments) process. These are the RFCs that were approved for implementation this week:

No RFCs were approved this week.

Final Comment Period

Every week, the team announces the 'final comment period' for RFCs and key PRs which are reaching a decision. Express your opinions now.

Tracking Issues & PRs

Rust

Tracking Issue for slice::array_chunks

Stabilize cfg_boolean_literals

Promise array::from_fn is generated in order of increasing indices

Stabilize repr128

Stabilize naked_functions

Fix missing const for inherent pointer replace methods

Rust RFCs

core::marker::NoCell in bounds (previously known an [sic] Freeze)

Cargo,

Stabilize automatic garbage collection.

Other Areas

No Items entered Final Comment Period this week for Language Team, Language Reference or Unsafe Code Guidelines.

Let us know if you would like your PRs, Tracking Issues or RFCs to be tracked as a part of this list.

New and Updated RFCs

Allow &&, ||, and ! in cfg

Upcoming Events

Rusty Events between 2025-04-02 - 2025-04-30 🦀

Virtual

2025-04-02 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - with Social Distancing

2025-04-03 | Virtual (Nürnberg, DE) | Rust Nurnberg DE

Rust Nürnberg online

2025-04-03 | Virtual | Ardan Labs

Communicate with Channels in Rust

2025-04-05 | Virtual (Kampala, UG) | Rust Circle Meetup

Rust Circle Meetup

2025-04-08 | Virtual (Dallas, TX, US) | Dallas Rust User Meetup

Second Tuesday

2025-04-10 | Virtual (Berlin, DE) | Rust Berlin

Rust Hack and Learn

2025-04-15 | Virtual (Washington, DC, US) | Rust DC

Mid-month Rustful

2025-04-16 | Virtual (Vancouver, BC, CA) | Vancouver Rust

Rust Study/Hack/Hang-out

2025-04-17 | Virtual and In-Person (Redmond, WA, US) | Seattle Rust User Group

April, 2025 SRUG (Seattle Rust User Group) Meetup

2025-04-22 | Virtual (Dallas, TX, US) | Dallas Rust User Meetup

Fourth Tuesday

2025-04-23 | Virtual (Cardiff, UK) | Rust and C++ Cardiff

**Beyond embedded - OS development in Rust **

2025-04-24 | Virtual (Berlin, DE) | Rust Berlin

Rust Hack and Learn

2025-04-24 | Virtual (Charlottesville, VA, US) | Charlottesville Rust Meetup

Part 2: Quantum Computers Can’t Rust-Proof This!"

Asia

2025-04-05 | Bangalore/Bengaluru, IN | Rust Bangalore

April 2025 Rustacean meetup

2025-04-22 | Tel Aviv-Yafo, IL | Rust 🦀 TLV

In person Rust April 2025 at Braavos in Tel Aviv in collaboration with StarkWare

Europe

2025-04-02 | Cambridge, UK | Cambridge Rust Meetup

Monthly Rust Meetup

2025-04-02 | Köln, DE | Rust Cologne

Rust in April: Rust Embedded, Show and Tell

2025-04-02 | München, DE | Rust Munich

Rust Munich 2025 / 1 - hybrid

2025-04-02 | Oxford, UK | Oxford Rust Meetup Group

Oxford Rust and C++ social

2025-04-02 | Stockholm, SE | Stockholm Rust

Rust Meetup @Funnel

2025-04-03 | Oslo, NO | Rust Oslo

Rust Hack'n'Learn at Kampen Bistro

2025-04-08 | Olomouc, CZ | Rust Moravia

3. Rust Moravia Meetup (Real Embedded Rust)

2025-04-09 | Girona, ES | Rust Girona

Rust Girona Hack & Learn 04 2025

2025-04-09 | Reading, UK | Reading Rust Workshop

Reading Rust Meetup

2025-04-10 | Karlsruhe, DE | Rust Hack & Learn Karlsruhe

Karlsruhe Rust Hack and Learn Meetup bei BlueYonder

2025-04-15 | Leipzig, DE | Rust - Modern Systems Programming in Leipzig

Topic TBD

2025-04-15 | London, UK | Women in Rust

WIR x WCC: Finding your voice in Tech

2025-04-19 | Istanbul, TR | Türkiye Rust Community

Rust Konf Türkiye

2025-04-23 | London, UK | London Rust Project Group

Fusing Python with Rust using raw C bindings

2025-04-24 | Aarhus, DK | Rust Aarhus

Talk Night at MFT Energy

2025-04-24 | Edinburgh, UK | Rust and Friends

Rust and Friends (evening pub)

2025-04-24 | Manchester, UK | Rust Manchester

Rust Manchester April Code Night

2025-04-25 | Edinburgh, UK | Rust and Friends

Rust and Friends (daytime coffee)

2025-04-29 | Paris, FR | Rust Paris

Rust meetup #76

North America

2025-04-03 | Chicago, IL, US | Chicago Rust Meetup

Rust Happy Hour

2025-04-03 | Montréal, QC, CA | Rust Montréal

April Monthly Social

2025-04-03 | Saint Louis, MO, US | STL Rust

icu4x - resource-constrained internationalization (i18n)

2025-04-06 | Boston, MA, US | Boston Rust Meetup

Kendall Rust Lunch, Apr 6

2025-04-08 | New York, NY, US | Rust NYC

Rust NYC: Building a full-text search Postgres extension in Rust

2025-04-10 | Portland, OR, US | PDXRust

TetaNES: A Vaccination for Rust—No Needle, Just the Borrow Checker

2025-04-14 | Boston, MA, US | Boston Rust Meetup

Coolidge Corner Brookline Rust Lunch, Apr 14

2025-04-17 | Nashville, TN, US | Music City Rust Developers

Using Rust For Web Series 1 : Why HTMX Is Bad

2025-04-17 | Redmond, WA, US | Seattle Rust User Group

April, 2025 SRUG (Seattle Rust User Group) Meetup

2025-04-23 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground

2025-04-25 | Boston, MA, US | Boston Rust Meetup

Ball Square Rust Lunch, Apr 25

Oceania

2025-04-09 | Sydney, NS, AU | Rust Sydney

Crab 🦀 X 🕳️🐇

2025-04-14 | Christchurch, NZ | Christchurch Rust Meetup Group

Christchurch Rust Meetup

2025-04-22 | Barton, AC, AU | Canberra Rust User Group

April Meetup

South America

2025-04-03 | Buenos Aires, AR | Rust en Español

Abril - Lambdas y más!

If you are running a Rust event please add it to the calendar to get it mentioned here. Please remember to add a link to the event too. Email the Rust Community Team for access.

Jobs

Please see the latest Who's Hiring thread on r/rust

Quote of the Week

If you write a bug in your Rust program, Rust doesn’t blame you. Rust asks “how could the compiler have spotted that bug”.

– Ian Jackson blogging about Rust

Despite a lack of suggestions, llogiq is quite pleased with his choice.

Please submit quotes and vote for next week!

This Week in Rust is edited by: nellshamrell, llogiq, cdmistman, ericseppanen, extrawurst, U007D, joelmarcey, mariannegoldin, bennyvasquez, bdillo

Email list hosting is sponsored by The Rust Foundation

Discuss on r/rust

[voiceapisolutions]

How Enterprises Use Voice APIs for Call Routing and IVR Automation

Enterprises today handle thousands of customer calls every day. To manage these efficiently, many are turning to voice APIs. These tools help businesses automate call routing and interactive voice response (IVR) systems.

What Are Voice APIs?

Voice APIs are software interfaces that allow developers to build voice-calling features into apps or systems. These APIs can trigger actions like placing calls, receiving them, or converting speech to text. For enterprises, voice APIs make it easy to integrate intelligent call handling into their workflow.

Smarter Call Routing

Call routing directs incoming calls to the right agent or department. With voice APIs, this process becomes dynamic and rules based.

For example, a customer calling from a VIP number can be routed directly to a premium support team. APIs allow routing rules based on caller ID, time of day, location, or even previous interactions. This reduces wait times and improves customer satisfaction.

Automated IVR Systems

Interactive Voice Response (IVR) lets callers interact with a menu system using voice or keypad inputs. Traditional IVR systems are rigid and often frustrating.

Voice APIs enable smarter, more personalized IVR flows. Enterprises can design menus that adapt in real time. For instance, returning callers may hear different options based on their past issues. With speech recognition, users can speak naturally instead of pressing buttons.

Scalability and Flexibility

One major benefit of using voice API is scalability. Enterprises don’t need physical infrastructure to manage call volume. The cloud-based nature of voice APIs means businesses can handle spikes in calls without losing quality.

Also, changes to call flows can be made quickly. New routing rules or IVR scripts can be deployed without touching hardware. This agility is crucial in fast-moving industries.

Enhanced Analytics and Integration

Voice APIs also provide detailed data. Enterprises can track call duration, drop rates, wait times, and common IVR paths. This data helps optimize performance and identify pain points.

Moreover, APIs easily integrate with CRMs, ticketing systems, and analytics tools. This ensures a seamless connection between calls and other business processes.

Final Thoughts

Voice APIs are transforming how enterprises manage voice communications. From intelligent call routing to adaptive IVR systems, the benefits are clear. Enterprises that adopt these tools gain speed, efficiency, and better customer experience, and that too without a lot of effort.

[michelpaul]

Why Troop Messenger is the Best Alternative to Discord

In today’s fast-paced world, effective communication and collaboration are essential for teams to succeed. While Discord has gained popularity for casual and gaming communities, many businesses and organizations need a more secure and feature-rich platform. Troop Messenger is the ultimate solution for those looking for a powerful and secure Discord alternatives. Here’s why Troop Messenger stands out as one of the best alternatives to Discord.

Unparalleled Security

One of Troop Messenger’s key strengths is its commitment to security. Unlike Discord, which primarily caters to casual users, Troop Messenger offers enterprise-grade security features like end-to-end encryption, data retention policies, and role-based access control. These ensure that your business communication remains private and protected from unauthorized access.

Versatile Deployment Options

Troop Messenger provides flexibility with its multiple deployment options. Businesses can choose between SaaS (cloud-based), on-premise, or self-hosted setups, unlike Discord, which is solely cloud-based. This flexibility ensures that organizations in sensitive sectors like defense, government, and BFSI (Banking, Financial Services, and Insurance) can maintain full control over their data.

Rich Collaboration Features

Troop Messenger offers a comprehensive suite of collaboration tools that outshine Discord. Features include:

One-on-One and Group Messaging: Send instant messages to individuals or groups with ease.

Audio and Video Calls: Conduct high-quality calls for effective remote communication.

Screen Sharing: Share your screen in real time to enhance collaboration.

File Sharing: Send large files securely and without hassle.

Burnout Chat: A unique feature for self-destructing messages, ensuring sensitive information remains confidential.

Seamless User Experience

While Discord is user-friendly, it often feels cluttered and overwhelming for professional users. Troop Messenger’s intuitive interface is designed specifically for productivity and efficiency. Its clean layout and customizable features make it ideal for teams of all sizes.

Advanced Integration Capabilities

Troop Messenger integrates effortlessly with a wide range of tools and platforms, such as Google Drive, Dropbox, and APIs for custom integrations. This makes it a versatile choice for businesses that rely on multiple tools to streamline their workflows.

Designed for Business Communication

Unlike Discord, which was originally created for gaming communities, Troop Messenger is purpose-built for professional communication. It meets the unique needs of industries such as:

Government Agencies: With its secure on-premise deployment.

BFSI Sector: With robust compliance features and data encryption.

Defense Organizations: Offering secure and private communication channels.

Affordable and Transparent Pricing

Troop Messenger offers competitive and transparent pricing plans that cater to businesses of all sizes. Unlike Discord, which has limitations on premium features, Troop Messenger’s plans include all essential features without hidden costs. The value it provides far outweighs its cost, making it an excellent investment for organizations.

Why Troop Messenger is Better than Discord

If you’re looking for an alternative to Discord, Troop Messenger is the best choice for several reasons:

Enhanced Security: Ideal for businesses that prioritize data privacy.

Professional Features: Tailored for corporate communication, unlike Discord’s gaming-focused features.

Flexible Deployment: Options for SaaS, on-premise, and self-hosted setups.

Scalable: Suitable for teams and organizations of all sizes.

Industry-Specific Use Cases: Perfect for government, defense, NGOs, and private sectors.

Conclusion

While Discord is a popular platform for casual communication, Troop Messenger goes above and beyond to meet the needs of businesses and organizations. Its robust security, advanced features, and professional focus make it the ultimate Discord alternative for teams seeking a secure and reliable collaboration tool. Whether you’re a small business or a large enterprise, Troop Messenger can transform how your team communicates and collaborates, ensuring productivity and success.

If you’re ready to elevate your team’s communication, make the switch to Troop Messenger today!

[crypto-badger]

$AIGRAM - your AI assistant for Telegram data

Introduction

$AIGRAM is an AI-powered platform designed to help users discover and organize Telegram channels and groups more effectively. By leveraging advanced technologies such as natural language processing, semantic search, and machine learning, AIGRAM enhances the way users explore content on Telegram.

With deep learning algorithms, AIGRAM processes large amounts of data to deliver precise and relevant search results, making it easier to find the right communities. The platform seamlessly integrates with Telegram, supporting better connections and collaboration. Built with scalability in mind, AIGRAM is cloud-based and API-driven, offering a reliable and efficient tool to optimize your Telegram experience.

Tech Stack

AIGRAM uses a combination of advanced AI, scalable infrastructure, and modern tools to deliver its Telegram search and filtering features.

AI & Machine Learning:

NLP: Transformer models like BERT, GPT for understanding queries and content. Machine Learning: Algorithms for user behavior and query optimization. Embeddings: Contextual vectorization (word2vec, FAISS) for semantic search. Recommendation System: AI-driven suggestions for channels and groups.

Backend:

Languages: Python (AI models), Node.js (API). Databases: PostgreSQL, Elasticsearch (search), Redis (caching). API Frameworks: FastAPI, Express.js.

Frontend:

Frameworks: React.js, Material-UI, Redux for state management.

This tech stack powers AIGRAM’s high-performance, secure, and scalable platform.

Mission

AIGRAM’s mission is to simplify the trading experience for memecoin traders on the Solana blockchain. Using advanced AI technologies, AIGRAM helps traders easily discover, filter, and engage with the most relevant Telegram groups and channels.

With the speed of Solana and powerful search features, AIGRAM ensures traders stay ahead in the fast-paced memecoin market. Our platform saves time, provides clarity, and turns complex information into valuable insights.

We aim to be the go-to tool for Solana traders, helping them make better decisions and maximize their success.

Our socials:

Website - https://aigram.software/ Gitbook - https://aigram-1.gitbook.io/ X - https://x.com/aigram_software Dex - https://dexscreener.com/solana/baydg5htursvpw2y2n1pfrivoq9rwzjjptw9w61nm25u

[teqful]

How-To IT

Topic: Core areas of IT

1. Hardware

• Computers (Desktops, Laptops, Workstations)

• Servers and Data Centers

• Networking Devices (Routers, Switches, Modems)

• Storage Devices (HDDs, SSDs, NAS)

• Peripheral Devices (Printers, Scanners, Monitors)

2. Software

• Operating Systems (Windows, Linux, macOS)

• Application Software (Office Suites, ERP, CRM)

• Development Software (IDEs, Code Libraries, APIs)

• Middleware (Integration Tools)

• Security Software (Antivirus, Firewalls, SIEM)

3. Networking and Telecommunications

• LAN/WAN Infrastructure

• Wireless Networking (Wi-Fi, 5G)

• VPNs (Virtual Private Networks)

• Communication Systems (VoIP, Email Servers)

• Internet Services

4. Data Management

• Databases (SQL, NoSQL)

• Data Warehousing

• Big Data Technologies (Hadoop, Spark)

• Backup and Recovery Systems

• Data Integration Tools

5. Cybersecurity

• Network Security

• Endpoint Protection

• Identity and Access Management (IAM)

• Threat Detection and Incident Response

• Encryption and Data Privacy

6. Software Development

• Front-End Development (UI/UX Design)

• Back-End Development

• DevOps and CI/CD Pipelines

• Mobile App Development

• Cloud-Native Development

7. Cloud Computing

• Infrastructure as a Service (IaaS)

• Platform as a Service (PaaS)

• Software as a Service (SaaS)

• Serverless Computing

• Cloud Storage and Management

8. IT Support and Services

• Help Desk Support

• IT Service Management (ITSM)

• System Administration

• Hardware and Software Troubleshooting

• End-User Training

9. Artificial Intelligence and Machine Learning

• AI Algorithms and Frameworks

• Natural Language Processing (NLP)

• Computer Vision

• Robotics

• Predictive Analytics

10. Business Intelligence and Analytics

• Reporting Tools (Tableau, Power BI)

• Data Visualization

• Business Analytics Platforms

• Predictive Modeling

11. Internet of Things (IoT)

• IoT Devices and Sensors

• IoT Platforms

• Edge Computing

• Smart Systems (Homes, Cities, Vehicles)

12. Enterprise Systems

• Enterprise Resource Planning (ERP)

• Customer Relationship Management (CRM)

• Human Resource Management Systems (HRMS)

• Supply Chain Management Systems

13. IT Governance and Compliance

• ITIL (Information Technology Infrastructure Library)

• COBIT (Control Objectives for Information Technologies)

• ISO/IEC Standards

• Regulatory Compliance (GDPR, HIPAA, SOX)

14. Emerging Technologies

• Blockchain

• Quantum Computing

• Augmented Reality (AR) and Virtual Reality (VR)

• 3D Printing

• Digital Twins

15. IT Project Management

• Agile, Scrum, and Kanban

• Waterfall Methodology

• Resource Allocation

• Risk Management

16. IT Infrastructure

• Data Centers

• Virtualization (VMware, Hyper-V)

• Disaster Recovery Planning

• Load Balancing

17. IT Education and Certifications

• Vendor Certifications (Microsoft, Cisco, AWS)

• Training and Development Programs

• Online Learning Platforms

18. IT Operations and Monitoring

• Performance Monitoring (APM, Network Monitoring)

• IT Asset Management

• Event and Incident Management

19. Software Testing

• Manual Testing: Human testers evaluate software by executing test cases without using automation tools.

• Automated Testing: Use of testing tools (e.g., Selenium, JUnit) to run automated scripts and check software behavior.

• Functional Testing: Validating that the software performs its intended functions.

• Non-Functional Testing: Assessing non-functional aspects such as performance, usability, and security.

• Unit Testing: Testing individual components or units of code for correctness.

• Integration Testing: Ensuring that different modules or systems work together as expected.

• System Testing: Verifying the complete software system’s behavior against requirements.

• Acceptance Testing: Conducting tests to confirm that the software meets business requirements (including UAT - User Acceptance Testing).

• Regression Testing: Ensuring that new changes or features do not negatively affect existing functionalities.

• Performance Testing: Testing software performance under various conditions (load, stress, scalability).

• Security Testing: Identifying vulnerabilities and assessing the software’s ability to protect data.

• Compatibility Testing: Ensuring the software works on different operating systems, browsers, or devices.

• Continuous Testing: Integrating testing into the development lifecycle to provide quick feedback and minimize bugs.

• Test Automation Frameworks: Tools and structures used to automate testing processes (e.g., TestNG, Appium).

19. VoIP (Voice over IP)

VoIP Protocols & Standards

• SIP (Session Initiation Protocol)

• H.323

• RTP (Real-Time Transport Protocol)

• MGCP (Media Gateway Control Protocol)

VoIP Hardware

• IP Phones (Desk Phones, Mobile Clients)

• VoIP Gateways

• Analog Telephone Adapters (ATAs)

• VoIP Servers

• Network Switches/ Routers for VoIP

VoIP Software

• Softphones (e.g., Zoiper, X-Lite)

• PBX (Private Branch Exchange) Systems

• VoIP Management Software

• Call Center Solutions (e.g., Asterisk, 3CX)

VoIP Network Infrastructure

• Quality of Service (QoS) Configuration

• VPNs (Virtual Private Networks) for VoIP

• VoIP Traffic Shaping & Bandwidth Management

• Firewall and Security Configurations for VoIP

• Network Monitoring & Optimization Tools

VoIP Security

• Encryption (SRTP, TLS)

• Authentication and Authorization

• Firewall & Intrusion Detection Systems

• VoIP Fraud DetectionVoIP Providers

• Hosted VoIP Services (e.g., RingCentral, Vonage)

• SIP Trunking Providers

• PBX Hosting & Managed Services

VoIP Quality and Testing

• Call Quality Monitoring

• Latency, Jitter, and Packet Loss Testing

• VoIP Performance Metrics and Reporting Tools

• User Acceptance Testing (UAT) for VoIP Systems

Integration with Other Systems

• CRM Integration (e.g., Salesforce with VoIP)

• Unified Communications (UC) Solutions

• Contact Center Integration

• Email, Chat, and Video Communication Integration

[stevebattle]

Romi conversation AI robot, Mixi, Japan (2021). "Romi is a specialized conversation robot that fits snugly in the palm of your hand. Differing from conventional robots equipped with fixed responses, Romi utilizes our cutting-edge proprietary communication AI to keep conversations going, meaning that you can speak to Romi just like a real human. We developed Romi to provide comfort like a pet and understanding like a family member. Possessing a rich range of emotional expression, Romi can share your happiness, sadness, and anger. Romi is sure to brighten your life with over 100 facial expressions and movement patterns and help you bring out the best of every day with over 100 functions such as alarms and reminders." – Providing space and opportunity for communication with Romi, Mixi.

"First, when a person speaks to Romi, Romi converts the voice data into string data via the Google Cloud Speech API. When this string data is sent to the conversation server, the server constructs the answer as text data and returns it to Romi. Finally, Romi uses text-to-speech to convert text into speech and respond to people. Romi uses generative AI in its conversation server to construct answers to people. However, the generative AI model used by Romi is "in a different direction of development'' from models such as GPT-4 … [where] hallucination becomes a major issue. On the other hand, Shinoda's managers tuned Romi based on the idea that even if there were some mistakes, 'as long as it's fun to talk about and the users laugh, that's fine.' This is one of the reasons why we used Stable LM as the base model for our original AI." – an interview with Harumi Shinoda, Vantage Studio Romi Division Development Group Manager, MIXI's conversation robot "Romi" that heals people, AI tuning that emphasizes fun over accuracy.

[whatsapp-cloud-api-botsailor]

WhatsApp Cloud API Setup For Botsailor

Integrating the WhatsApp Cloud API with BotSailor is crucial for businesses seeking to enhance their customer engagement and streamline communication. The WhatsApp Cloud API enables seamless automation, allowing businesses to efficiently manage interactions through chatbots, live chat, and automated messaging. By connecting with BotSailor, businesses gain access to advanced features like order message automation, webhook workflows, and integration with e-commerce platforms such as Shopify and WooCommerce. This setup not only improves operational efficiency but also offers a scalable solution for personalized customer support and marketing, driving better engagement and satisfaction.

To integrate the WhatsApp Cloud API with BotSailor, follow the steps below for setup:

1. Create an App:

Go to the Facebook Developer site.

Click "My Apps" > "Create App".

Select "Business" as the app type.

Fill out the form with the necessary information and create the app.

2. Add WhatsApp to Your App:

On the product page, find the WhatsApp section and click "Setup".

Add a payment method if necessary, and navigate to "API Setup".

3. Get a Permanent Access Token:

Go to "Business Settings" on the Facebook Business site.

Create a system user and assign the necessary permissions.

Generate an access token with permissions for Business Management, Catalog management, WhatsApp business messaging, and WhatsApp business management.

4. Configure Webhooks:

In the WhatsApp section of your app, click "Configure webhooks".

Get the Callback URL and Verify Token from BotSailor's dashboard under "Connect WhatsApp".

Paste these into the respective fields in the Facebook Developer console.

5. Add a Phone Number:

Provide and verify your business phone number in the WhatsApp section.

6. Change App Mode to Live:

Go to Basic Settings, add Privacy Policy and Terms of Service URLs, then toggle the app mode to live.

7. Connect to BotSailor:

On BotSailor, go to "Connect WhatsApp" in the dashboard.

Enter your WhatsApp Business Account ID and the access token.

Click "Connect".

For a detailed guide, refer to our documentation. YouTube tutorial. and also read Best chatbot building platform blog

[tinybasementtale]

Full Stack Testing vs. Full Stack Development: What’s the Difference?

In today’s fast-evolving tech world, buzzwords like Full Stack Development and Full Stack Testing have gained immense popularity. Both roles are vital in the software lifecycle, but they serve very different purposes. Whether you’re a beginner exploring your career options or a professional looking to expand your skills, understanding the differences between Full Stack Testing and Full Stack Development is crucial. Let’s dive into what makes these two roles unique!

What Is Full Stack Development?

Full Stack Development refers to the ability to build an entire software application – from the user interface to the backend logic – using a wide range of tools and technologies. A Full Stack Developer is proficient in both front-end (user-facing) and back-end (server-side) development.

Key Responsibilities of a Full Stack Developer:

Front-End Development: Building the user interface using tools like HTML, CSS, JavaScript, React, or Angular.

Back-End Development: Creating server-side logic using languages like Node.js, Python, Java, or PHP.

Database Management: Handling databases such as MySQL, MongoDB, or PostgreSQL.

API Integration: Connecting applications through RESTful or GraphQL APIs.

Version Control: Using tools like Git for collaborative development.

Skills Required for Full Stack Development:

Proficiency in programming languages (JavaScript, Python, Java, etc.)

Knowledge of web frameworks (React, Django, etc.)

Experience with databases and cloud platforms

Understanding of DevOps tools

In short, a Full Stack Developer handles everything from designing the UI to writing server-side code, ensuring the software runs smoothly.

What Is Full Stack Testing?

Full Stack Testing is all about ensuring quality at every stage of the software development lifecycle. A Full Stack Tester is responsible for testing applications across multiple layers – from front-end UI testing to back-end database validation – ensuring a seamless user experience. They blend manual and automation testing skills to detect issues early and prevent software failures.

Key Responsibilities of a Full Stack Tester:

UI Testing: Ensuring the application looks and behaves correctly on the front end.

API Testing: Validating data flow and communication between services.

Database Testing: Verifying data integrity and backend operations.

Performance Testing: Ensuring the application performs well under load using tools like JMeter.

Automation Testing: Automating repetitive tests with tools like Selenium or Cypress.

Security Testing: Identifying vulnerabilities to prevent cyber-attacks.

Skills Required for Full Stack Testing:

Knowledge of testing tools like Selenium, Postman, JMeter, or TOSCA

Proficiency in both manual and automation testing

Understanding of test frameworks like TestNG or Cucumber

Familiarity with Agile and DevOps practices

Basic knowledge of programming for writing test scripts

A Full Stack Tester plays a critical role in identifying bugs early in the development process and ensuring the software functions flawlessly.

Which Career Path Should You Choose?

The choice between Full Stack Development and Full Stack Testing depends on your interests and strengths:

Choose Full Stack Development if you love coding, creating interfaces, and building software solutions from scratch. This role is ideal for those who enjoy developing creative products and working with both front-end and back-end technologies.

Choose Full Stack Testing if you have a keen eye for detail and enjoy problem-solving by finding bugs and ensuring software quality. If you love automation, performance testing, and working with multiple testing tools, Full Stack Testing is the right path.

Why Both Roles Are Essential :

Both Full Stack Developers and Full Stack Testers are integral to software development. While developers focus on creating functional features, testers ensure that everything runs smoothly and meets user expectations. In an Agile or DevOps environment, these roles often overlap, with testers and developers working closely to deliver high-quality software in shorter cycles.

Final Thoughts :

Whether you opt for Full Stack Testing or Full Stack Development, both fields offer exciting opportunities with tremendous growth potential. With software becoming increasingly complex, the demand for skilled developers and testers is higher than ever.

At TestoMeter Pvt. Ltd., we provide comprehensive training in both Full Stack Development and Full Stack Testing to help you build a future-proof career. Whether you want to build software or ensure its quality, we’ve got the perfect course for you.

Ready to take the next step? Explore our Full Stack courses today and start your journey toward a successful IT career!

This blog not only provides a crisp comparison but also encourages potential students to explore both career paths with TestoMeter.

For more Details :

Interested in kick-starting your Software Developer/Software Tester career? Contact us today or Visit our website for course details, success stories, and more!

🌐visit - https://www.testometer.co.in/