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By Jay Kumbhani
Over the years, CI/CD has become such an integral part of DevOps that it is difficult to think of one exclusive of the other. However, DevOps’ much broader set of utilities might often undermine the role and scope of CI/CD. The vast DevOps toolchain for configuration management, IaC, monitoring, security, and other such use cases confines the CI/CD strategies to mere code handling.
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By Harsh Raval
They started in awe, which soon turned into desperation to keep up, and it is only now that we have started realizing the utility and business value of our Artificial Intelligence (AI) goals. I like this stage of our industrial revolution, where we are no longer expecting magic from AI but are integrating it nevertheless for all the wonders it can still do for our businesses. This was the same space where our DevOps efforts started yielding enterprise-level transformations.
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By Yogesh Karachiwala
There is a sense of growing maturity in the DevOps market that is also reflected by its evolving tools. For the past some time, I’ve also seen these tools expanding beyond the limited utilities of continuous integration and continuous delivery. They are now seeping into database management, QA automation, and even AI integration in the SDLC. However, I see no deviation in their efficiency that enables teams to transition smoothly from ITOps to DevOps.
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By Harsh Raval
I often wonder about Steve Wozniak’s claim that the first computers were built to help “common people rise.” Correlating the evolution of software with the upheaval of our human society brings a very hopeful sentiment. Now, software engineering methodologies cater to more nuanced requirements of our “rising,” such as allowing space to correct mistakes (agility) and openness to feedback (adaptability).
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By Nikunj Patel
Sam Altman, the key visionary behind the popular adaption of Gen AI and essentially the father of ChatGPT, deemed it “unthinkable” to have products and services without AI integration in the future. I’m sure that among other beliefs that inspired him to make such claims, the need for intelligence beyond efficiency in the modern digital ecosystem was a key one. It only makes sense to rethink IT management in this context and replace our traditional methods with the benefits of AIOps.
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By Jay Kumbhani
Software testing is welcoming the upheavals in the digital world, including the emergence of AI, data analytics, cloud computing, and more. Businesses are engaging with more sophisticated testing versions like continuous testing, shift left, security testing, and more. That’s why a world aspiring for applied AI reports a CAGR of more than 7% post-2024. Therefore, businesses across industries unanimously agree upon the critical importance of software testing.
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By Harsh Raval
John McCarthy, an American computer scientist, stated this belief more than 40 years ago. Surely, his commitment to understanding the human mental process led him to ideate one of the most revolutionary ideas in computer science—artificial Intelligence (AI). Since then, AI has helped us develop software, utilize it to streamline our business offerings and maintain another essential aspect of digital ecosystems—quality assurance.
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By Harsh Raval
The rise of artificial intelligence (AI) in testing is enabling more predictive and intelligent test generation, execution, and defect analysis. This shift aims to reduce the time and effort required for manual testing to enhance test coverage and improve the overall software quality. Justifiably, key insights from Fortune Business project the growth of the AI-enabled testing market from USD 736.8 million in 2023 to USD 2,746.6 million by 2030.
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By Zymr
Businesses across diverse industries navigate distinct requirements, regulations, and challenges in software development and quality assurance. What proves effective for healthcare software might translate differently than banking software due to differing regulatory landscapes and privacy considerations. Hence, QA consulting services play a pivotal role in leveraging industry-specific expertise to tailor solutions that meet the unique quality needs of each sector.
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By Jay Kumbhani
According to Statista, the global number of software developers is increasing significantly and is projected to reach 28.7 million by 2024. The main reason for this growth is the rising demand for skilled technocrats to address the needs of software product engineering in building new-age digital experiences. However, the highly competitive software product engineering demands more than skilled technocrats - it needs the right strategy.y.
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By Zymr
In the latest episode of Digital Vanguard: Zymr's CTO Podcast, Chloe and Sam discuss the impactful presence that healthcare industry can expect from Generative AI. The discussion takes into account, all the major challenges that are face by modern digital ecosystems for healthcare. Sam will tell us about how healthcare businesses can leverage generative AI to deal with these challenges and helps automate healthcare processes, personalize patient care, and empower decision-making.
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By Zymr
Our software testing services helps you offer the intended customer experience while checking all the boxes in quality standards. Our software testing experts offer customized testing strategies for shift left, continuous testing, SAST, DAST, accessibility testing, and more. Watch the video to know how we help businesses ensure 60% faster go-to-market.
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By Zymr
In the latest episode of Digital Vanguard: Zymr's CTO Podcast, Chloe and Sam delve deep into discussions about Artificial Intelligence. Exhibiting Zymr's expertise in AI/ML, the discussion covers AI's transformative impact on various industries in 2024 and beyond. Sam highlights AI's role in enhancing operational efficiency, security, and personalization across sectors such as cloud computing, CRM, cybersecurity, e-commerce, fintech, and healthcare. For cloud computing, AI optimizes resource allocation and security.
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By Zymr
In this episode of Digital Vanguard: Zymr's CTO Podcast, Chloe Upton, a Sales and Marketing Specialist at Zymr, hosts a discussion with Sam Wyatt, an in-house Digital Transformation expert. They delve into the critical role of software testing in modern digital ecosystems. Starting with the challenges of enterprise application testing in dynamic business environments, they explore various automated testing frameworks and the importance of selecting the right one.
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By Zymr
In the latest episode of Digital Vanguard: Zymr's CTO Podcast, Chloe and Sam delve deep into discussions about QA outsourcing. Talking about Zymr as a QA outsourcing services company, they discuss how companies can ensure top-notch quality for their digital solutions. Sam explains the significance of QA outsourcing in today's digital ecosystem, highlighting its benefits such as specialized skills, cost efficiency, and scalability. They explore common challenges organizations face in QA and how outsourcing can address them efficiently.
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By Zymr
Zymr, with its profound expertise in QA automation, platform engineering, and cloud application management, provides a solution to navigate complexities associated with testing industry cloud platforms. Watch the video to know more.
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By Zymr
Zymr QA automation experts can help businesses identify vulnerabilities in data storage, encryption, and authentication mechanisms with their SAST expertise. Watch the video to know more.
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By Zymr
Zymr offers API automation testing expertise to help clients manage back-end disruptions for APIs involved in critical workflows. Check out how our API automation testing experts have helped clients improve API test coverage for their digital ecosystems.
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By Zymr
Check out how Zymr's expertise in CloudOps can help you with a comprehensive security solution that can pass assessments at various fronts including API security, network security, and user access control.
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By Zymr
Check out how Zymr's expertise in CloudOps can help an e-commerce company detect and recover from scalability and latency failures with uninterrupted cloud operations.
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By Zymr
Environment couldn't have been more favorable for AI-based software testing. Businesses across industries need higher test coverage, improved software usability, and higher code quality. Digital solutions for complex tasks like medical imaging analysis, banking system regression detection, and e-commerce UI validation need AI to ensure quality in both performance and security. In this E-Book we will talk in detail about leveraging AI for software testing.
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Zymr is a preferred product engineering services partner to global ISVs, Enterprises, and Startups.
Zymr’s Silicon Valley DNA powered through AI-Native expertise, helps companies deliver digital experience and create a positive business outcome. By leveraging cloud-native architectures and methodologies, Zymr enables organizations to embrace scalability, agility, and resilience in their digital endeavors. Zymr strategically utilizes both open-source and proprietary tools to craft customized strategies, maximizing efficiency, performance, and value for its clients.
Our Key Services:
- Product Engineering: Craft user-centric, secure software products fortified against cyber threats, seamlessly integrated with AI/ML and analytics for smart automation.
- Software Testing: Efficient software testing with collaborative risk-based strategies for AI/ML, IoT, Big Data, and all other latest technologies.
- DevOps: With containerization at the core, leverage DevOps and DevSecOps services that are flexible, scalable, and automation-friendly.
- Cloud Services: We help build AI-driven infrastructure for cloud-native offerings. We also ensure cybersecurity measures to keep your cloud operations secure and compliant.
Benefit from our decade of high-velocity AI-infused product engineering services.