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By Jay Kumbhani
We are seeing businesses across industries engage with large-scale projects needing a talent pool experienced in AI, cloud, IoT, or other emerging technologies. However, the fluctuating nature of these projects requires a flexible workforce, which can only naturally comprise part-time hires. This is why we see a steady investment in the staff augmentation market. The 2023 evaluation for the IT staff augmentation market was approximately USD 300 billion in the recent market reports.
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By Jay Kumbhani
A software update failure led to one of the most infamous outages of the year: the Crowdstrike Outage. The incident is estimated to have cost Fortune 500 companies more than USD 5 billion. Per the congressional testimony by Crowdstrike’s officials, the downtime wasn’t attributed to a malicious attack but a configuration and software update failure. Incidents like these make us question how we deal with our digital ecosystems - the configurations, the monitoring, the testing, etc.
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By Jay Kumbhani
Business leaders are worried that despite their fervent enthusiasm for building innovative solutions, they haven’t been able to explore even half of the possibilities that digital has to offer. This anxiety has made CXOs desperate to associate with keywords like Generative AI, multi-cloud, SaaS, and more. However, accommodating these big technologies in a rush often comes at the cost of quality.
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By Jay Kumbhani
Working with teams limited to a geographical location, talent pool, and technology stack can undermine the possibilities of a business’s digital offerings. That is the reason services like software development outsourcing became popular. However, even with global access to talent and technology, outsourcing services must be more cohesive and often need more imagination for modern digital innovations. This is what set the stage for Global Capability Centers (GCCs).
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By Harsh Raval
When you’re a popular name in the payment gateway market, like Stripe, you need to maintain a reputation for intelligent payment processing as well as strict payment security. Customers expect proactive fraud prevention and compliance management features to be inherently included in your offerings. Failing to do so will harm your brand, and you might not even get two more strikes to reaffirm your presence.
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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 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.