Bug $500K Lost, Test SMS, AI Observability & Game Testing TGNS97

How do you do email and SMS testing? Have you seen how you could scale your automation mobile testing for gaming? And what critical business app outage costs 500,000 per hour of downtime? Find out in this episode of the Test Skill News show for the week of September 24th. So grab your favorite cup of coffee or tea and let's do this. But first, are you looking to take your automation projects to the next level? Look no further than applitools and the Visual AI Validation Test Testing platform. Trust me, it is a game changer. Plus you could try it out for yourself by creating a free account now by using the special link in the first comment down below and see the difference for yourself. So this week I got asked a few times by different people how do I test SMS and emails? So I actually wrote a blog post about this a while back, but I decided to repost it to try to answer this question better. Because email and SMS testing has never been easier or faster and here's why. So in this post I go over ways to do end to end testing outside of just browser based automation. And one tool you can use to help you with SMS and email testing is Melisor. This article goes over a session that was taken from a 2018 Automation Guild session. But like I said, this tool has been updated since then and because I got asked so many questions about it I decided to repost it. So if you don't know, Melisor is a customer communication testing platform for for an app product or campaign. But what does that mean? Well, they'll help you ensure every email and SMS your product sends, looks and works the way you and your customer expect. And one of the main reasons why I decided to update this post is because the folks at Mailstone reached out to me and offered the Test Guild community 20% off your first 12 months when you sign up using the code in the comment that you'll find down below and also in this blog post. And you also get a 14 day free trial as well. So check it out and let me know what you think. So I also found an article on generative AI what it means for software development from the latest study from Forrester. So I actually found this on LinkedIn from Diego's post and the research that he linked to highlights the transformative potential of AI and generative AI in software development and in it he also highlights Turing bots. So since 2020 this the advancement in general AI has been fast tracked and the maturity of Turing bots by nearly a decade. These AI driven tools are set to revolutionize industries, assisting in addressing challenges like code quality, performance and user experience. And Turing bots become an integral part of the development landscape. Akin to open source and Forrester suggest companies set up clear guidelines for their use. They share best practices and understand the associated risk associated, especially when generative AI underpins the technology. And so Diego from Forrester emphasizes the importance of understanding the implications of touring bots and offers insights into the current and future state of the market in this article that you can find down below. In that first comment, I also came across two companies teaming up to make gaming testing even better. So in a strategic move to redefine game testing standards, Game Driver, a leading automated testing solution for gaming and XR experience, has teamed up with Kobiton, a top tier mobile testing solution provider. And this partnership aims to tackle the distinctive challenges game developers, QA and testing professionals face to ensure top tier gaming quality and by integrating game drivers, advanced automated gaming testing technology With Kobiton's extensive mobile testing platform, developers and testers can now streamline their gaming development and quality assurance processes across across multiple gaming platforms. And this collaboration also promises faster gaming testing that will reduce time to market and enhance gaming experiences for players. So to showcase their combined powers of Game Driver and Kobiton, I decided to host a webinar on September 28th. We're going to be going over how you can ensure a flawless user experience across multiple devices, operating systems and gameplay scenarios. And this free training, which is being called Scaling Automated Mobile Testing for Gaming. We're going to go over how to design and provide game development teams, QA professionals and mobile app testers with invaluable insights into tackling the complexities of testing mobile games efficiently and effectively. And so this webinar is going to delve into advanced strategies, best practices and cutting edge tools that empower testers to automate and optimize the mobile game testing processes that will enable you to faster release without compromising quality. So we're going to go over understanding the landscape, how to leverage automation, scaling and testing, different benefits, continuous integration and CI CD for games and also real world case studies to help you gain insights from others that have successfully implemented game testing in their organizations. So this is something you definitely don't want to miss. Register now and hope to see you there. So the source of this next article comes your way via James Pulley from LinkedIn, where he posts an article on how a critical business app outage costs 500,000 per hour of downtime. But the article itself goes over full Stack observability is gaining momentum, leading to improved service level metrics and hopefully reducing outage cost, as revealed by a study from New Relic. And if you don't want to lose 500,000 per hour in downtime, the study says organizations adopting Full Stack Observability report fewer and shorter outages. And interestingly, those with Full stack observability experienced 30% lower median outage costs compared to those without. This research underscores the significant financial implications of observability, and the Chief Strategy and Design Officer at New Relic, Peter, emphasizes the tangible business value of observability, noting its role in reducing outages, enhancing an organization's bottom line. Anytime you have bottom line and saving money, it's definitely something you should listen to and check out for yourself. If you're not doing anything with observability yet, you definitely should. And also, every time I hear a company's doing the same thing and releasing some of the functionality or investing in functionality, it means I as a tester need to listen and pay attention. And so this next article is How Elastics AI Powered Leap in Observability is is something you should pay attention to as well. So in a recent announcement, Elastic, the renowned company behind elasticsearch, unveiled their latest innovation. The Elastic AI Assistant for Observability is designed to provide SRES developers and testers with context aware actual insights tailored to their specific IT environments. This comes as a response to the growing challenges faced by IT operation teams who are currently working under pressure to address rapidly evolving system issues. And while artificial intelligence for IT operations has been instrumental in streamlining problem resolution, Elastic's new AI Assistant takes it one step further because it harnesses the power of generative AI and proprietary data to offer more precise solutions, eliminating the need for manual data searches across different platforms. And also, this helps expediate problem solving by simplifying the understanding of application errors, log messages and alert analysis. It also offers suggestions for optimal code efficiencies. And it enhances team collaboration by allowing interactive chats and visualizations of relevant telemetry data in a unified platform. All right, we have a Follow the money segment and guess what? It's all about. It's all about Once again, observability. So in a landmark move, Cisco, known for its strategic acquisitions, has announced its intent to buy Splunk in a staggering $28 billion deal. And this acquisition brings Splunk's Observability platform once again, Observability under Cisco's umbrella, enhancing its security business by aiding customers in comprehending security threats and analyzing vast amounts of log data. And Cisco CEO Chuck Robbins emphasizes the AI driven cybersecurity aspect of this merger, aiming to bolster AI enabled security from threat detection to prevention. Start learning more about observability because obviously it is hot, hot hot today in this environment. Besides observability, once again we're going back to Generative AI. Another company has released another feature to help you leveraging generative AI. And so Perforce Software, a leading DevOps solution provider has has unveiled the Test Data Pro by blazemeter, which is a cutting edge addition to its continuous testing platform. And this new component leverages once again generative AI technology to simplify and enhance test data creation. And this innovation aims to tackle the challenge of acquiring synchronized and accurate test data, especially as business adopts a shift left testing strategy. So Stephen Fellini, VP of Continuous Testing at Perforce High, highlights the time consuming nature of obtaining test data from production and the urgency in today's fast paced release environment. A notable feature of the Test Data Pro is its ability to use Generative AI to quickly profile and produce data generation functions and test data from the ground up. So this ensures testers like you have precise data for your test. And once again from links of everything of value we covered in this news episode and head on over to the links in that comment down below. And while you're there, make sure to check out our awesome sponsor applitools free account offer and discover how to take your automation testing to the next level. Leveraging Visual AI. So that's it for this episode of the Test Guild new show. I'm Joe. My mission is to help you succeed in creating end to end full stack pipeline automation awesomeness. As always, test everything and keep the good. Cheers.