The leading mobile operator has updated its data architecture to achieve higher goals  Azercell, the leading mobile ope

Azercell Accelerates Its Business Processes By 5 Times With Cloudera Data Platform

Azercell, the leading mobile operator of Azerbaijan, for the first time in the country has started cooperation with Cloudera, the world's leading company in the field of data processing. With the application of Cloudera Data Platform, Azercell develops new products and services for its customers 5 times faster than before.

Azercell accelerates its business processes by 5 times with Cloudera Data Platform

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Nexus Cognitive (Nexus), a leading managed service provider, and Cloudera, the data company for trusted enterprise artificial intelligence (AI), announced a strategic partnership DALLAS ...

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A small Waco-based data management developer got a $240 million verdict against California-based Cloudera. A jury decided three patents held by StreamScale were indirectly infringed upon through a ...

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A jury in a Texas federal court last week awarded StreamScale $240 million in a patent infringement lawsuit it filed against Cloudera over erasure coding

Cloudera Hit with $240 Million Judgement Over Erasure Coding

Cloudera

cloudera

Will Open Source Get More Open in 2020? Licensing changes at Cloudera, Yugabyte, and Chef show an interest in getting more open--though it’s too soon to say it signals a broad trend that others will follow. Yet there’s still a lot to learn from each company’s motivations. I was hopeful that would jump start a broad trend towards more companies embracing the open in open source. With Cloudera and now Yugabyte making similar moves, the obvious question is: Will more OSS companies follow suit? Chef’s announcement that it was going 100% open source Probably not. Each of these announcements makes sense for the company for different reasons. But when you step back, there are a few common elements tying them together. Hortonworks and Cloudera merged after years of competing. Hortonworks was all open source and offered services and support (commonly called the Red Hat model). Cloudera was open-core, meaning is created its own proprietary code around the code of open source Hadoop. With the merger, everyone expected them to consolidate on one of the models. This hints at why they chose open: Cloudera. announcement “By investing in open source projects such as Spark, Kubernetes and Kafka, we keep our customers on a sustainable long-term architecture vs. pulling them onto an island of Cloudera-only developed tools.” Hadoop started the big data movement and seeded the ecosystem in the Apache Foundation. While the vendors that followed, like Confluent, are making code more proprietary to defend their niche, Clouders sees the opportunity to go the other way and attract wide swaths of customers that are largely satisfied by the core projects. They hope to be to data platforms what RedHat is to compute platforms. The most valuable thing an open source company can do is reach ubiquity of use. Yugabyte. In almost every case, open source companies that achieve broad universal adoption also generate meaningful financial returns. It’s like fishing in a stocked pond. Hadoop has reached that point, though may be on the decline. Yugabyte, on the other hand, is still in the early adoption stages. I think their is both validation of the value of ubiquity and acknowledgement of how much further they still have to go to achieve it. announcement that YugabyteDB will be entirely open source The company described the change as a move to full open source, though I see it as really just dialing back proprietary in favor of more open source. It is true that the YugabyteDB project, by some definition, is fully open source, but some of the code that the Yugabyte company produces is still proprietary. That said, this is a meaningful announcement. It sets a high water mark on the recent trend towards proprietary code, especially for a DB company running on public clouds. There is still a strong business rationale for a high degree of openness. I analyzed Chef’s licensing changes , but it’s worth revisiting a couple of points about Chef that are also generalizable. Chef. in a previous post Continuous integration and delivery (CI/CD) along with an increased sensitivity to security have changed how users view open source offerings. While it used to be fine to get versions of software periodically, users today expect and demand ever-updating software. Using outdated open source software is not only inconvenient, in some cases it is no longer acceptable because it can introduce security vulnerabilities. Users will pay to ensure that they are getting the latest security patches. Notice in that "the subscription agreement will cover the terms of support and maintenance, as well as access to the latest updates and security patches." Cloudera and Chef are both recognizing that there is lots of value in timely access to open source code from trusted sources (Cloudera and Chef engineers), and in some cases more value than value from add-on proprietary features. Customers wanted to pay for an open trusted core more than for an open core + add-ons. Cloudera's announcement As part of Chef’s open source transition, Chef went from monetizing product features to, among other things, monetizing its robust build pipeline through timely distributions. Chef customers get a subscription to these builds ensuring heightened security as well as the latest features. More Experimentation Ahead in 2020 We shouldn’t extrapolate from the above three announcements that we’re in a new era of more open open source. Instead, we should recognize all the signs that open source software is alive and well despite the many high-profile moves towards proprietary codebases. What is ahead then? 2019 was a year where we saw rich experimentation on the . In 2020, that experimentation will continue. But I expect we'll see a lot more open source companies really leaning in to their source distribution models as competitive differentiators for their products, in the same way traditional software companies emphasize on-prem or cloud, or vertical versus horizontal. best paths to commercializing open source software projects Open source still has its place in the enterprise.

Why Cloudera, Yugabyte, and Chef Went Open Source

There is a lot of complexity in the world of open source, yet there is also surprising commonality among governance approaches and commercialization strategies It’s been a . In April, Chef made the surprise announcement that it would make available the codebase of its entire product suite. Then in July, Cloudera with the announcement that it would open its closed source products and commit the whole company to open source, in line with Hortonworks, which it acquired earlier in the year. crazy year in open source doubled down on open source For all of the forces at work in open source, I’ve found that the viable business strategies can be distilled into just a handful of governance factors and commercialization models. This article is my attempt to formalize these commonalities into a useful taxonomy. After all, there are nuances to how a given open source project is funded and governed, and the relationship the company has with the project. All of which affect the visibility of the project (whether or not there’s marketing boost) and long-term control over the codebase and project direction. Ultimately, these are the factors that inform how successful and valuable a company will be. Let’s step through the primary governance factors then move on to the three key commercialization models. Governance Factor 1: Financing “Project-Community Fit” Key question: How is “project-community fit” funded? Incubated in an institution VC financed Bootstrapped Demonstrating traction is a prerequisite for an open source company to reach product-market fit. We might call this milestone “project-community fit.” By that, I mean, the point where a project finds a sustainable base of users. Production users will harden the offering, report and fix bugs, and provide proof-points. Contributing users are nice as well but not as critical. If the project doesn’t get there, the company has no value. If it does, the company has a chance at success. Funding the project largely boils down to two choices: VC/bootstrapped or growing the project within a company or institution. Venture investment and self-funding are self-explanatory. Founding a project within an institution or company is less common but certainly a viable path. For anyone but celebrity developers, being able to say that your project started inside Google, Uber, or LinkedIn attracts attention and lends credibility. There are many examples of successful open source projects started inside organizations like Google, LinkedIn or UC Berkeley. In fact, I’d say there is probably a better hit rate of people starting successful projects this way than pursuing an independent path from the outset. Of course, the downside here is the lack of control: Google, for example, will insist on handing off the codebase to a foundation like Apache. That decision will be made for you. Going it alone is the only way to ensure complete control from the beginning. Governance Factor 2: Long-Term Project Governance Key question: Who governs the project long term? The company or a single project foundation? Major foundation? Alongside project-community fit, long-term governance is a key consideration: Who owns the code and decides the fate of the project? You can put it in a major foundation, like Apache or Linux, or manage it yourself in a new foundation or otherwise. Putting it in a major foundation leans more “open” and lends itself to greater cross-project collaboration. It will likely give your young project a marketing boost. But it will also curtail the control you have over it and limit your monetization options. The typical alternative is to manage it yourself or create a single project foundation that you control. Governance Factor 3: The Role of Project Founders Key question: Who runs the company? Founders Committers Neither The project team’s relationship to the project itself is critical. Are the founders of the company the founders of the project? Does the company employ committers? Much of the glow that open source provides is channeled to the project founders. Having them on the team gives a marketing boost. Employing committers may give the company greater influence in the direction of the project and an insider view of where it is headed. It also reinforces the association with your company and the project. Perhaps the only draw-back is that the committers have a responsibility and passion for the project that may limit their interest in commercialization efforts. Finally, and most common, are team members that have no formal relationship to the project. While they don’t help on the marketing front, they are much easier to find and more likely to be generalists flexible enough to take the company in any direction. Three Models of Open Source Commercialization From these factors I’ve found 3 archetypes for building open source software companies. Here’s a description and illustrative examples. Model 1: Institutional This model represents cases where a big institution (company or university) develops an open source project, gives it to an established foundation, and the founders leave the first institution to start a company around it. I call it institutional because the codebase goes from a founding institution to a governing institution. This is a proven path for companies. The founding institution funds the growth of the project and provides a brand halo. The founders get to move to a startup after the open source project is validated while still keeping the founder halo and/or the governing institution halo. The downside to this approach is that you don’t control the core-code and can face commercial tension working with the governing foundations. Model 2: Independent This model represents cases in which founders create an open source project on their own or with venture backing. This is the high risk, high return model. This has the advantage of  retaining the control that can be lost from placing the project under the control of a governing institution. It can be a lot of work to bootstrap a project, but if it works, you stay in control of the codebase and own the brand/trademarks of the company and project. Most of the examples in the table below have in the last year or so, something that can’t be done for foundation-donated code. All of these projects have named their company the same as the project, which isn’t true of the Institutional examples above. It can be hard to build the brand as you don't have the halo of the founding institution. But once you do, it is all yours. changed open source licensing *In many cases the first project releases were before a company formed, but it is the closest thing to the founding institution. Also, in many cases companies changed names between formation and today, but we’ll use today’s names for consistency. Model 3: Co-Opt This model represents the many cases of companies founded by co-opting an existing open source project. Even if you haven’t created an open-source project, you can create a company around one. This is a newer model that is less proven but certainly promising. There are a bunch of great open source communities in which, for whatever reason, the founders aren’t in a position to or interested in pursuing commercial development. Here, you don’t get any halos, but you are able to skip the work of building a community -- just join a thriving one and commercialize it. I’m curious to watch how these companies play out. The founder halo is extremely valuable in commercializing something that is otherwise already free, but cloud and SaaS models give additional opportunity to extend value. Open Source Has Fostered Many Successes No one said that wearing the two hats of project founder and CEO would be easy. There is endless tension between the democratic spirit of open source and the many attempts to build successful companies on open source projects. Yet just look to a Chef or a MongoDB to see that it is indeed possible to turn open source into commercial success. Recognizing the commonality shared by these success stories can be useful for any founder seeking to grow a company using an open source approach to its codebase. Eric Anderson is a Principal at Scale Venture Partners where he invests in cloud infrastructure and open source.

A Taxonomy for Open Source Software Companies: Governance and Commercialization

How Startups Can Bolster Defenses as Cyber Threats Loom in Cloud Era

T in the tech sector are not only wrong — they are irrelevant. he recent spate of scare stories about declining prices If you’re a corporate investor looking to acquire a startup, this latest round of media noise, gossip, and chitchat is distracting. Rather than obsessing over the market and whether there’s a newly pumped-up bubble or not, you may well be a lot better off taking a step back; giving yourself the chance to ask not whether the price of Snap, Cloudera, or Alfa Financial Software is sensible, but whether — as an investor — it’s sensible for . you If you look at five poorly performing tech stocks, their declining values probably have much more to do with their individual business strategies than market conditions generally . Prices are indication of what the market is prepared to pay for shares in a business at any one particular point in time. More importantly yet, prices signal the value an acquirer feels it can extract from an acquisition target. So, rather than trying to look outside of your company to find the value of a startup target, look inside first. That is because prices don’t exist in isolation Tech is a fast-moving world, and so are the stories This latest round of hysteria started with about a string of startups who are, potentially, floating on the stock market at a price below their pre-IPO valuations. Cloudera was cited as the first tech unicorn to go public at a value “significantly” below its private valuation. HortonWorks and Apptio were also referenced. an article in Bloomberg The original graph from the Bloomberg article But, what’s the real news here? . Some go up, some go down. That is usually because a company’s individual strategy has succeeded or failed, its revenues are growing or shrinking against expectations, or its outlook is positive or negative. Companies fluctuate in price — and value — all the time For every company you can find whose valuation declined after going public, you can probably find another one that rose , and draw much bigger, wider conclusions — especially about an industry as diverse and broad as the technology sector. If you look at five poorly performing tech stocks, their declining values probably have much more to do with their individual business strategies than market conditions generally. It’s very difficult, if not impossible, to extricate the individual circumstances of company valuations For every company you can find whose valuation declined after going public, you can probably find another one that rose. Facebook is a case in point. Since its float in 2012 at a peak market capitalisation of about $100bn, it has increased in value more than fourfold. Currently its market capitalisation is over $430 billion. At the time it floated, you could find a lot of scare stories about the tech bubble and how Facebook was yet another example of an overvalued tech company that would eventually collapse. Five-year view of Facebook’s price on the NASDAQ (source: Google Finance) The same reaction took place when it announced it was acquiring Instagram for $1 billion. How very wrong they were. It’s natural to see price jumps when going from private to public You also hear a lot about private tech companies’ valuations jumping about all over the place. This volatility, we may think, is a signal that something is not quite right in the market. So, perhaps, it’s not that Cloudera’s price has declined, but that it has declined by so much so quickly. But that’s not clear either. . This is not volatility. It’s not even really correct to call it a “price jump” at all. It’s natural to see price jumps when a company is private, or goes from private to public , such as capital raises, acquisitions, or IPOs. And a very long time — usually years — can pass between these landmark events, meaning most of the time the true value of the company is hidden; whereas public companies are valued day-in, day-out on the public markets, meaning that price declines usually follow smooth downward curves. That is usually enough to explain what seems, on the surface, to be a rapid, immediate change in value. These fluctuations in price simply reflect the fact that private companies are typically valued only at landmark events The risk of scare stories, and why they truly matter The risk of all . You can see this happening in two ways. On one hand, the CFO of a major corporate might be scared off by the stories from acquiring a startup, thinking that a market correction is imminent and they could end up destroying value. On the other hand, they may sweep into the market, acquiring a startup at what they think is a bargain price without doing enough due diligence. this media noise around the price of tech startups is that it distracts strategic investors from making the right decision When a corporate is looking to invest or acquire a startup, they shouldn’t be thinking primarily about the wider market but, instead, about what value the target company will provide to them These are both wrong. When a corporate is looking to invest or acquire a startup, they shouldn’t be thinking primarily about the wider market but, instead, about what value the target company will provide to them: the synergies the investment or acquisition will create, and how the target can help the corporate transform itself to keep pace with digital change. . This is why a target company, which may seem small or insignificant, can actually command a large valuation, and price, to the right company In retrospect Google’s acquisition of Android seems like a fantastic strategic move For example, in 2005, Google spent $50 million on a tiny company, which very few people knew about at the time and which was developing software for mobile phones well before such a thing was fashionable. It had only been in existence for 22 months. Many commentators couldn’t understand the acquisition, and accused Google of making a strategic error. What was the company? Android. It has since gone on to become the leading mobile phone operating system in the world, used on more than 1.6 billion devices around the world. While the price might have seemed high at the time, it wasn’t. . Would Android have been worth $50 million to another company? Perhaps not, but it was worth it to Google because it was a great strategic fit, and enabled Google to unleash enormous latent value. Google had a vision to bring its services to mobile — as consumers increasingly adopted handheld devices — and Android was a key rung in its strategy Almost any price can be the right price The lesson from this is that almost any price can be the right price from the right company for the right asset. Corporate investors, who are increasingly struggling to keep pace with the latest technological developments, need to look inside their own companies, develop a strategy to transform themselves for the future and then — and only then — go out to the market to find a good strategic fit, ignoring in the first instance prices, and even in some cases numbers. Prices can distract from finding the right company, which is what truly matters. The lesson from this is that almost any price can be the right price from the right company for the right asset After this company has been uncovered, then a corporate can start asking the difficult questions about value: what historic value information do we have? Can we benchmark the company against other similar competitors? And, most importantly of all, what strategic value will the acquisition unleash in my company that it wouldn’t be possible to uncap otherwise? , and agree to a price and terms that make sense with all the other value elements taken into account. If corporates can do that, they will have the best chance of finding a transformative acquisition target that works for them. Then they have to execute, which is a topic for another article… Corporates need to find a startup that fits their company like a glove Paul Cuatrecasas is CEO and Founder of Aquaa Partners , a London-based investment bank that works with growth-focused corporates to help them find and acquire the right technology company. Find out more about how Aquaa Partners can help you at: http://aquaapartners.com

Ignore Cloudera: tech startup acquisitions aren’t about price, they’re about company fit

Despite numerous opportunities, aspiring talent is often deterred by rapid technological advancements, intense competition, demanding work culture, lack of diversity, and financial barriers within the tech industry. This is where Jagadish Nimmagadda serves as an inspiring example. For Nimmagadda, being born in India has only made him more dynamic in his approach to life. From humble beginnings, he has built a thriving career as an IT Technician and is currently ranked among the elites in his field at Amazon Web Services (AWS), where he is a Senior Software Development Manager. Jagadish’s initial spark for computer science ignited during his childhood, growing up in Hyderabad, India. He began his career in the tech industry at IBM as a Software Engineer in his hometown, where he learned the value of cooperation and the significance of maintaining high standards and followed his passion by enrolling at Virginia International University, Fairfax, to pursue a Master’s degree in Computer Science. In search of a new challenge and keen to broaden his horizons, Jagadish moved to Malaysia and started working as a Software Engineer at MyEG Services Berhad, which specializes in providing electronic government solutions and services. He continued to focus on upgrading his technical skills while developing creative solutions that facilitated growth for the firm. It quickly became evident from his ability to influence collaborative efforts that he was an emerging force in the technology field. In 2014, Jagadish took a huge step in his career when he became a Software Engineering Consultant at Fannie Mae in Herndon, Virginia, where he came up with progressive web applications, automated key procedures, and put forward successful ideas for cost-saving. His input enhanced productivity and positively impacted the company. By 2015, Jagadish’s talent was widely recognized in the industry, leading him to Capital One Financials in Richmond, VA. Over the next seven years, he made a profound impact on the company with his technical and leadership skills. He contributed to recruiting and nurturing the talent at Capital One, developing AWS cloud control guidelines, and leading the design and development of critical cloud custodian rules for compliance. His most notable achievement at Capital One was architecting the SWIFT Wire transfer application for cloud migration, which ensured sustainability and availability across multiple regions. Jagadish’s career reached new heights when he joined AWS as a Software Development Manager in 2022. He continues to explore new possibilities, leading cross-functional teams in agile software development, digital migrations, and process improvements. His exemplary leadership and dedication while migrating Frontier applications to Electron, developing a comprehensive end-to-end testing strategy, and transforming Sales Hierarchy models have significantly enhanced operations and customer experience at AWS. As a lifelong learner, Jagadish holds many prestigious certifications, including AWS Certified Security Specialty and Cloudera Certification as a Developer for Apache Hadoop. His dedication to continuous learning is shown in his numerous contributions to the tech community through publications on advanced access control in Amazon DynamoDB and embracing local development in serverless AWS. Jagadish was instrumental in developing tools for Sales Planning, which contributed to delivering $90 billion in revenue to AWS and played key roles in guiding how sales teams cascade quotas, distribute territory assignments, and set goals. His proactive and customer-first approach has helped to deliver these tools on time, benefiting the whole organization. Jagadish Nimmagadda is an inspiring example of overcoming challenges and exploring possibilities. As a thought leader in software engineering and cloud computing, his contributions continue to motivate aspiring engineers in the tech industry, offering valuable lessons that can form the foundation of their careers. Despite numerous opportunities, aspiring talent is often deterred by rapid technological advancements, intense competition, demanding work culture, lack of diversity, and financial barriers within the tech industry. This is where Jagadish Nimmagadda serves as an inspiring example. For Nimmagadda, being born in India has only made him more dynamic in his approach to life. From humble beginnings, he has built a thriving career as an IT Technician and is currently ranked among the elites in his field at Amazon Web Services (AWS), where he is a Senior Software Development Manager. Jagadish’s initial spark for computer science ignited during his childhood, growing up in Hyderabad, India. He began his career in the tech industry at IBM as a Software Engineer in his hometown, where he learned the value of cooperation and the significance of maintaining high standards and followed his passion by enrolling at Virginia International University, Fairfax, to pursue a Master’s degree in Computer Science. In search of a new challenge and keen to broaden his horizons, Jagadish moved to Malaysia and started working as a Software Engineer at MyEG Services Berhad, which specializes in providing electronic government solutions and services. He continued to focus on upgrading his technical skills while developing creative solutions that facilitated growth for the firm. It quickly became evident from his ability to influence collaborative efforts that he was an emerging force in the technology field. In 2014, Jagadish took a huge step in his career when he became a Software Engineering Consultant at Fannie Mae in Herndon, Virginia, where he came up with progressive web applications, automated key procedures, and put forward successful ideas for cost-saving. His input enhanced productivity and positively impacted the company. By 2015, Jagadish’s talent was widely recognized in the industry, leading him to Capital One Financials in Richmond, VA. Over the next seven years, he made a profound impact on the company with his technical and leadership skills. He contributed to recruiting and nurturing the talent at Capital One, developing AWS cloud control guidelines, and leading the design and development of critical cloud custodian rules for compliance. His most notable achievement at Capital One was architecting the SWIFT Wire transfer application for cloud migration, which ensured sustainability and availability across multiple regions. Jagadish’s career reached new heights when he joined AWS as a Software Development Manager in 2022. He continues to explore new possibilities, leading cross-functional teams in agile software development, digital migrations, and process improvements. His exemplary leadership and dedication while migrating Frontier applications to Electron, developing a comprehensive end-to-end testing strategy, and transforming Sales Hierarchy models have significantly enhanced operations and customer experience at AWS. As a lifelong learner, Jagadish holds many prestigious certifications, including AWS Certified Security Specialty and Cloudera Certification as a Developer for Apache Hadoop . His dedication to continuous learning is shown in his numerous contributions to the tech community through publications on advanced access control in Amazon DynamoDB and embracing local development in serverless AWS. Cloudera Certification as a Developer for Apache Hadoop Cloudera Certification as a Developer for Apache Hadoop Jagadish was instrumental in developing tools for Sales Planning, which contributed to delivering $90 billion in revenue to AWS and played key roles in guiding how sales teams cascade quotas, distribute territory assignments, and set goals. His proactive and customer-first approach has helped to deliver these tools on time, benefiting the whole organization. Jagadish Nimmagadda is an inspiring example of overcoming challenges and exploring possibilities. As a thought leader in software engineering and cloud computing, his contributions continue to motivate aspiring engineers in the tech industry, offering valuable lessons that can form the foundation of their careers.

India to the US: Jagadish Nimmagadda on Innovation and Excellence in Software Engineering

ভারত থেকে মার্কিন যুক্তরাষ্ট্র: সফ্টওয়্যার ইঞ্জিনিয়ারিংয়ে উদ্ভাবন এবং শ্রেষ্ঠত্বের উপর জগদীশ নিম্মাগড্ডা

Indien in die USA: Jagadish Nimmagadda über Innovation und Exzellenz in der Softwareentwicklung

De India a Estados Unidos: Jagadish Nimmagadda habla sobre innovación y excelencia en ingeniería de software

De l'Inde aux États-Unis : Jagadish Nimmagadda sur l'innovation et l'excellence en ingénierie logicielle

भारत से अमेरिका तक: सॉफ्टवेयर इंजीनियरिंग में नवाचार और उत्कृष्टता पर जगदीश निम्मगड्डा

インドから米国へ：ジャガディッシュ・ニマガダ氏によるソフトウェアエンジニアリングにおける革新と卓越性について

인도에서 미국으로: 소프트웨어 엔지니어링의 혁신과 우수성에 대한 Jagadish Nimmagadda

Índia para os EUA: Jagadish Nimmagadda sobre inovação e excelência em engenharia de software

Индия — США: Джагадиш Ниммагадда об инновациях и совершенстве в разработке программного обеспечения

Hindistan'dan ABD'ye: Jagadish Nimmagadda Yazılım Mühendisliğinde Yenilik ve Mükemmellik Üzerine

Ấn Độ đến Hoa Kỳ: Jagadish Nimmagadda về Đổi mới và Xuất sắc trong Kỹ thuật Phần mềm

印度对美国：Jagadish Nimmagadda 谈软件工程的创新与卓越

Seamlessly Migrate Your On-Premise Data Pipeline to Azure with These Key Steps

Discard Manual Scheduling With DolphinScheduler 3.1.x Cluster Deployment

Welcome to HackerNoon’s interview series. This section is curated by our Editorial team to spotlight bold and disruptive startups across the globe. If you’ve been nominated, and answer these questions Startups-Of-The-Year create a brand profile here. Hey Hackers, Vectara has been nominated in HackerNoon's annual Startup of the Year awards in Palo Alto, USA. Please : ]. vote for us here [https://hackernoon.com/startups/north-america/north-america-palo-alto-ca-usa#ljpyx4tp/ljpyx4tp Read more about us below to understand why we deserve your vote. Meet Vectara Vectara is an end-to-end platform for embedding powerful generative AI features into applications with extraordinary results. Built on a solid hybrid-search core, Vectara delivers the shortest path to a correct answer/action through a safe, secure, and trusted entry point. Vectara never trains on your data, allowing businesses to embed generative AI capabilities without the risk of data or privacy violations. My Role My name is Sean Anderson, and I am Head of Product Marketing at Vectara. I am excited to chat with developers daily who are making generative AI a reality. I want the world to know more about how Vectara solves the hallucination problem with LLMs and makes generative AI a reality for every business. How We're Disrupting/Improving the Generative AI Industry Companies need to act fast on their generative AI (Gen AI) strategies in response to ever-growing data volumes and the monumental shift in user expectations brought on by the advent of tools like ChatGPT. NLUs and large Language Models (LLMs) hold the promise of delivering business efficiencies, increasing profits, and decreasing costs. But Gen AI introduces operational complexities that need careful attention. CIOs, Product leads, and IT leaders find it hard to scale AI projects because they require deep ML expertise and maintenance of complicated LLMs, and even if they use open-source, the infrastructure is expensive to operate. There is a risk in assembling the components manually. The stakes run high because Gen AI also includes serious risks related to hallucination and data security. Enterprises that invest wisely in AI and LLMs will gain a competitive edge. Those who don’t will experience the costs, complications, and long lead times endemic to unwise DIY decisions. That competitive edge requires a proper workflow integration between internal data systems, existing solutions, expertise, and the right tools. Companies struggle to recruit, build, and implement next-generation generative AI techniques due to inexperience in data science and machine learning. The market is saturated with build-it-yourself LLM technology but many organizations can't adopt the risk and do not know where to start. Organizations need a safe entry point and end-to-end platforms to address the full spectrum of needs for Generative AI and hybrid search. Developers need to be able to easily embed Generative AI into their applications without the risk of exposing data (through sending off-site or being used as training data for the model). Standing Out From The Crowd Vectara provides an end-to-end SaaS solution abstracting the complex ML Operations pipeline (Extract, Encode, Index, Retrieve, Re-Rank, Summarize). Vectara’s “Grounded Generation” allows businesses to quickly, safely, and affordably integrate best-in-class conversational AI and question-answering into their application with zero-shot precision. Vectara never trains on your data, allowing businesses to embed generative AI capabilities without the risk of data or privacy violations. Vectara is built for product managers and developers with an easily leveraged API that gives full access to the platform's powerful features. Because Vectara indexes your own data, the risk of hallucination is all but eliminated, which is transferred and stored in encrypted form, and is never used to train Vectara models. Vectara is an end-to-end platform that handles indexing, encoding, evaluation, ranking, and summarization. Product developers can quickly build end-to-end generative solutions without maintaining and integrating individual components. Our Predictions/Thoughts on the Generative AI Industry in 2023 Since the launch of ChatGPT last year, the urgency around leveraging AI has never been greater. Many companies understand AI's value but don't fully understand the technology. Organizations seek trusted advisors to make their AI implementation successful and tools and platforms that simplify AI adoption by providing a safe entry point. These partnerships remove many barriers to adoption, including privacy and accuracy concerns. Companies struggle to recruit, build, and implement next-generation generative AI techniques due to inexperience in data science and machine learning. The market is saturated with build-it-yourself LLM technology, but many organizations can't adopt the risk and do not know where to start. Organizations need a safe entry point and end-to-end platforms to address the full spectrum of needs for Generative AI and hybrid search. Developers need to be able to easily embed Generative AI into their applications without the risk of exposing data (through sending off-site or being used as training data for the model). What word defines the state of Generative AI in 2023? At the beginning of 2023, the Vectara leadership team made some predictions of how AI will proliferate into our daily lives. Having experienced the explosion of generative AI and its feverish evolution, we know that time will continue to test these assumptions. Here are some areas we feel will advance the state of Generative AI in 2023. NLP will become so mainstream and part of everything we do, just like SW ate the world. The leaders in all segments will be applying NLP/LLM/GenerativeAI to jump their competition. The web will have its own layer of AI-powered additional information (similar to how we think about Augmented Reality); every major site will be layered with additional NLP-generated information, delivered based on user behavior. “Did you mean?”, “Check out these recommendations” and “Related Categories and Content” will become standard user interaction models in many more applications. AI-powered automation will begin to disrupt key software markets including document management, RPA, customer service, cybersecurity, legal contracts, and more. In 2 years, 80% or 90% of the world’s languages will be translated almost perfectly, allowing a regional language with few writers or speakers to be understood by someone else using a different regional language with few writers or speakers (the long tail) Why we decided to participate in HackerNoon's Startup of the Year awards We are excited and honored to participate in HackerNoon’s Startup of the Year awards and want to personally thank everyone who participates in the voting process for us and for startups in general. Vectara is a startup’s startup, founded by people like Amr, who started Cloudera and navigated through the emergence of big data and machine learning. The founders truly believe that AI can advance the state of our culture as long as the AI has all the relevance to make smart decisions. As a startup, we are uniquely positioned in the generative AI landscape to listen to our customers to shape our roadmap and features inside our platform. The HackerNoon Startup of the Year represents a stable of extremely talented startups, and our inclusion is a memorable milestone for the company. Today is another eventful day for us as we are launching our embedding model, Boomerang. We want to thank the HackerNoon community and everyone who took the time to vote for any startup. Final Thoughts 2023 very much feels like the year of emergence is generative AI. Encapsulating that interest with communities like the HackerNoon community and acknowledgment in these voting processes. Vectara is still a very young company in a fastly changing market. We look forward to working closely with early adopters of generative AI to understand the challenges they face. We are an open and inclusive community for developers of all experience levels. We invite you to continue the conversation with us here and on all our online platforms. [ ] Vote for us today! https://hackernoon.com/startups/north-america/north-america-palo-alto-ca-usa#ljpyx4tp/ljpyx4tp

Startups of the Year 2023: Vectara - The Platform for Embedding Powerful Generative AI Features

Let's learn about via these 53 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Enterprise Software /Learn Repo 1. How to Build a Data-Driven Product Using Metabase Metabase is a business intelligence tool that lets you access your data in a read-only manner. 2. Startup Interview with Erik Norgaard, HOLLYFY Founder / CEO Built for the creator economy. Empowering small businesses. Expanding spheres of influence. Erik Norgaard shares the origin story of Hollyfy. 3. Cheap Architecture vs Clean Architecture How abstract is too abstract? 4. Startup Interview with Dmitry Bubnov, CEO Of ENBISYS ENBISYS CEO shares his tips on running software development company and how his team manages to stay abreast of technology development. 5. Quarkus vs. Spring Boot - A Brief Overview When you look at the advanced programming frameworks popular among developers, you will notice that Quarkus and Spring Boot hold prominent places. 6. The Importance of a Single Source of Truth for Enterprises A single source of truth (SSOT) enables that synchronization. A company with SSOT relies on one and only one point of reference for the latest, aggregated info. 7. Migrating From Oracle Forms to APEX? I’ve Done it and Here’s Why I Think You Should Too What is the matter with Forms’ support? Why migrate to APEX? What are the benefits? In this article, I’ll provide you with answers to these questions. 8. How to Set up a Framework: A Developer’s Guide New developers often don’t know how to set up a framework for smart contract development to make the process as efficient and secure as possible. 9. How to Ensure the Success of Microservices-based Projects Microservices-based projects are a great idea to deliver products in less time and with great flexibility/agility. 10. What is Legacy Software? - An Introductory Guide Legacy software is any software that you are not writing right now. I like this definition because it removes the stigma. 11. One Stable Credit For Building On All Blockchains A lot of my recent research has been around cryptocurrency as money - and how stable assets are the core to scaling the industry and building reputation and trust. I believe that creating price stability often through collateralization, whether that’s with fiat currencies like the dollar or pound, cryptocurrencies like ethereum or bitcoin, or commodities like gold and oil, will be essential to many web3 innovations in the coming decade. 12. How Automation in Contract Management Can Optimize Business Negotiations Contract management software for small businesses optimizes negotiations so you can spend more time expanding your brand. 13. Building a Large-Scale Interactive SQL Query Engine with Open Source Software This is a collaboration between Baolong Mao's team at JD.com and my team at Alluxio. The original article was published on Alluxio's blog. This article describes how JD built an interactive OLAP platform combining two open-source technologies: Presto and Alluxio. 14. Difference Between a Platform and a Framework Difference between Platform and Framework. 15. Accounting Automation is a Prerequisite for Business Growth and Development Technology has enabled professionals from diverse fields to delegate repetitive manual tasks to software programs, giving them time to do more interesting and creative work and allowing for professional development. In the field of accounting, new software is able to take on complex calculations and bookkeeping, giving CPAs the ability to perform previously laborious tasks with just a couple of mouse clicks. 16. A Guide to Picking the Right Facility Maintenance Strategy Choosing the right facility maintenance strategy greatly depends on understanding your organization demands, legal requirements, the software you use and cost. 17. Why Cloudera, Yugabyte, and Chef Went Open Source Will Open Source Get More Open in 2020? 18. How To Survive The Journey of ERP Implementation At Your Business So you want to implement an ERP system. As a manager you should be aware that ERP projects are uniquely difficult to control. 19. 5 Reasons Why You Need To Embrace Visual Programming Solutions COVID-19 proved to a lot of organizations that we’re not as digital as we like to think we are – even today’s top enterprises are still relatively ‘old-school’ and are behind in their digitalization progress. 20. What to Look for When Choosing Business Process Management Software Why BPM is so important and what are the key features you should pay attention to when choosing such tools? 21. Stop Introducing "Just Any" Software Into Your Business To ensure that organizations have a cohesive approach to purchasing and introducing new tools, companies should standardize their software procurement process. 22. The Discovery Phase Is Crucial To Your Software Development Project and Here's Why Learn why the Discovery Phase is important and how you can benefit from such a preliminary comprehensive analysis. 23. What Holds People Back from Recording a Video at Work and How Guidde Solved It The purpose of Guidde is to help people, like you, record their videos. They may have numerous reasons why they haven’t started yet, and that’s where we come in 24. "Software Management Is A Challenge For Every Company Of Every Size," David Campbell, Tropic CEO Tropic wants you to fall in love with procurement. See how this startup is transforming an underserved industry in an interview with their CEO, David Campbell. 25. An Intro to Real-Time Data Anchoring and Legacy ERP Systems Comprehensive data visibility is still a big challenge in enterprise resource planning. 26. Data Location Awareness: The Benefits of Implementing Tiered Locality Tiered Locality is a feature led by my colleague Andrew Audibert at Alluxio. This article dives into the details of how tiered locality helps provide optimized performance and lower costs. The original article was published on Alluxio’s engineering blog 27. The Aftermath of Going Enterprise Factors to consider in scaling your enterprise solution: the do's , the don'ts and the maybe. 28. 5 Main Things That Will Help You Understand Why Technology Is Important In Business Technology in business is a phenomenon that is taking over the world. Business is certainly not going anywhere anytime soon; technology is the only way to go. Business needs to have the right tools in place to compete in a competitive corporate environment. 29. What to Choose to Implement Audio/Video Calls Solution Using WebRTC? Mad Devs have been working with WebRTC since 2013. We have implemented several projects with video or audio calls enabled. That’s why I want to share my thoughts on when to build your own solution from scratch, when to use open source alternatives and when to order a custom solution from a third-party vendor. 30. How to Choose the Right Omnichannel Platform for Your Business? Moving towards digital communication at scale has always been a tedious task for all types of businesses, no matter the industry you're serving or the size of your business. With so many technological advances companies are now looking for new ways to enhance and improve their customer experience and at the same time to save in operational costs. 31. Design: A Strategic Capability for Businesses This is a summary from my interview with Tim Bouckley. The conversation is apropos the evolution of design as a capability within the software field, and its role in traditional companies’ digital transformation. 32. SAP Commerce Cloud Vs. Salesforce Commerce Cloud Vs. Magento [A Comparison] The e-commerce industry is one of the most rapidly changing ones. A constant stream of new tendencies, innovative technology, and the growing needs of the customers are the factors that make e-commerce business owners follow these rules to stay afloat. 33. Best JavaScript Framework Alternatives to Open Source Every organization has different tools to support internal processes. As companies scale, IT teams are faced with the growing complexity of user requirements, which often go beyond the capacity of consumer software. 34. Enterprise Intranets: How Well Are You Protected? Intranets are vital communication hubs for many companies. According to Simpplr’s Employee Engagement Statistics: 2018, over 70% of professionals involved in employee engagement and internal communications consider intranets to be an essential aspect of their strategy. Indeed, it is on corporate intranets where employees not only collaborate but also share their ideas, express opinions and attitudes to everything that happens in a company. 35. Best ERP Software for SMEs in India Small and medium-sized enterprises are fast realizing the need of having an enterprise resourcing planning (ERP) software in place. The software that can help manage the day to day business activities such as accounting, sales, finance, procurement, planning, and supply chain operations. So, if you have been running a legacy system you may already know the value that an ERP provides. It eliminates instances of data duplication, mitigates errors, and automates businesses like never before. 36. One Map to Rule Them All Doesn't Work in 2021 The ‘One Map Fits All’ approach doesn’t fit all, as it lacks the ability to support the unique use cases of an organization. 37. Three Things the Coronavirus Confirmed About Enterprise Security With virtually every non-essential business forced to rely on new technology and embrace different ways of working, the coronavirus pandemic has presented organizations with numerous obstacles. While much attention has been paid to how companies can best navigate these challenges, it’s important that we also recognize another truth emerging from our new normal: enterprise security still leaves much to be desired. 38. The Distinction Between Enterprise Companies And Consumer Companies is Blurring "All models are wrong." George Box, the statistician is supposed to have said. Unfortunately, like he also continued to say, some are useful. Whenever I try to take a step back and think about the broader investing landscape, that remains true. 39. How to Determine the Features Necessary for Your MVP The right features of MVP will help you maintain your product quality and functionality, without budget and time overspending. 40. Corporate YouTube: Helping You Manage Growing Enterprise Video Data Learn how corporate YouTube automates video content management helping you meet end-to-end enterprise video needs 41. Enterprise Mobile Applications: Are they a Trend or a Necessity? Mobile devices have redefined the way we interact with digital technology, and enterprise mobile applications are probably the most interesting example of this shift. While they hold considerable potential for improving business operations, you’ll be right to wonder whether they can really fulfill all the trendy promises seen in the media. Below is a detailed analysis of what these apps can really do and how to harness their potential while avoiding the risks. 42. Lowering TCO of Enterprise IT Systems during COVID-19 As an eternal optimist, I've always wanted to live through an economic recession as a working professional and finally, the time might be here. 43. How to Get Started With Enterprise Automation: Tips From ITRex You’ve probably noticed this trend of automating tasks, processes, and even complete departments. Maybe, your company is also considering implementing an intelligent process automation solution, but you still haven’t found the answer to the following questions: 44. A Helpful Guide to Enterprise Mobile App Development Here's a step-by-step guide for enterprise mobile app development. It is a good read for enterprise executives who don't know where to start. 45. Software Package or Specific Development A company requires many IT systems to run its business, and typically spends a few percent of its revenue on building and operating those IT systems. A typical IT system will live for a decade and sometimes much more before being replaced. 46. How to use NLP to SQL API? Data is useless without the ability to easily get and act on it. The success of future enterprises will combine sophisticated information collection with better user experience, and the Natural Language User Interface comprises much of this user experience. 47. How to Use A/B Testing for Product Design Improvement This guide defines that approach, and how you can use A/B testing for product design improvement. 48. Manufacturing Automation: What Processes You Should Automate in 2020 to Get More Efficiency The modern world is bombarded with the flow of advanced technologies. Cloud and quantum computing, Internet of Things, AI, 3D printing, and a plethora of other technologies ushered by the Fourth Industrial Revolution quickly change the usual way we perceive high technology and promise unfathomable horizons of opportunities. 49. An Analysis of Key Players in the Software Defined Storage (SDS) Market for 2022 This blog examines the top Software-Defined-Storage (SDS) market players for 2022 and highlights the importance of each one as an enterprise solution. 50. Secure Software Development Lifecycle: Stages, Methods & Best Practices This article is a short guide to SDLC stages, methods, and best practices. 51. Why Should Your Business Adopt Cloud-Based IT Solutions? Data storage and access have long been a concern for businesses. A ton of data is created daily, and efficient storage is a must to keep track of everything. 52. Enterprise Software Is the Hardest Software To Write There is a perception that enterprise software is easy. The thought process goes something like: “How can adding up numbers and producing reports be as hard to do as programming image recognition, or writing software to control nuclear power plants?” 53. NEM Introduces Symbol & A New Multi-Layer Network for Enhanced Trustlessness Kailin O'Donnell is the Director and Co-Founder of NEM Ventures, the VC and Investments arm of the NEM Blockchain Ecosystem. Kailin is a DLT advocate who has been deeply involved in NEM since before launch, coding some early SDKs for NIS1 and Symbol, and has assisted multiple companies building on the NEM blockchain. Thank you for checking out the 53 most read stories about Enterprise Software on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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Use Case The current cloud era is dominated heavily by Kubernetes (k8s). While the DevOps team manages App lifecycle (deploy, scale, upgrade, downgrade, etc.), the App developer needs to build a similar environment locally. So before shipping the App, developer is required to ensure DevOps lifecycle is not impacted by any of the changes s/he makes. So it is very much necessary for a Developer to have a local k8s cluster for testing. In short, this blog post demonstrates the following flow. Assumption You have , and installed on your host. docker kubectl KinD You have go version go1.20.3 installed on the host. However, older version should work too. This complete setup is build on Ubuntu 22.04.2 host. If you are using another OS/platform, then you might need to modify the commands accordingly. Let Start... Prerequisite Setup Clone the repo [~]# git clone https://github.com/simplyatul/godevsetup.git
[~]# cd godevsetup Now using KinD, create local k8s cluster with a control plane node and two worker nodes. [~/godevsetup]# kind create cluster --config ./kind-local-k8s-cluster-baremin.yaml --name local-dev
Creating cluster "local-dev" ...
 ✓ Ensuring node image (kindest/node:v1.26.3) 🖼
 ✓ Preparing nodes 📦 📦 📦  
 ✓ Writing configuration 📜 
 ✓ Starting control-plane 🕹️ 
 ✓ Installing CNI 🔌 
 ✓ Installing StorageClass 💾 
 ✓ Joining worker nodes 🚜 
Set kubectl context to "kind-local-dev"
You can now use your cluster with:

kubectl cluster-info --context kind-local-dev

Have a question, bug, or feature request? Let us know! https://kind.sigs.k8s.io/#community 🙂 You can see that the control plane node and worker nodes are installed and running as separate containers. [~/godevsetup]# docker ps -a
CONTAINER ID   IMAGE                  COMMAND                  CREATED              STATUS          PORTS                       NAMES
9d2f27169e21   kindest/node:v1.26.3   "/usr/local/bin/entr…"   About a minute ago   Up 47 seconds                               local-dev-worker2
2b198d465d81   kindest/node:v1.26.3   "/usr/local/bin/entr…"   About a minute ago   Up 47 seconds                               local-dev-worker
96f3a760a02a   kindest/node:v1.26.3   "/usr/local/bin/entr…"   About a minute ago   Up 47 seconds   127.0.0.1:33519->6443/tcp   local-dev-control-plane Step 1 - App Development I have written a simple App in Go. You can do this in any language of your choice. The App exposes a ReST API on port 8080 and returns the hostname. Check the code. You can run the App locally using and then hit the following command from another terminal. GitHub go run main.go [~]# curl localhost:8080
Hostname: ubuntu-jammy Once you complete the coding, commit it. Optionally, you can push it to the remote repo as well. Step 2 - Containerize The App Build the docker image [~/godevsetup]# docker build -t godevsetup:latest . Run it locally and check once [~/godevsetup]# docker run --rm --name godevsetup -p 8080:8080 godevsetup:latest

# From another terminal
[~/godevsetup]# curl localhost:8080
Hostname: 48143ca71c90 Step 3 - Push Image Into Your Cluster Here we will push the container image onto the cluster nodes created by KinD [~/godevsetup]# kind load docker-image godevsetup:latest --name local-dev
Image: "godevsetup:latest" with ID "sha256:aa7dbb2842050be8c1635ff117ef938e3cf7fb0c32d56d9a7fe16ca73fda0f62" not yet present on node "local-dev-worker2", loading...
Image: "godevsetup:latest" with ID "sha256:aa7dbb2842050be8c1635ff117ef938e3cf7fb0c32d56d9a7fe16ca73fda0f62" not yet present on node "local-dev-worker", loading...
Image: "godevsetup:latest" with ID "sha256:aa7dbb2842050be8c1635ff117ef938e3cf7fb0c32d56d9a7fe16ca73fda0f62" not yet present on node "local-dev-control-plane", loading... You can inspect image is loaded [~/godevsetup]# docker exec local-dev-control-plane crictl images
IMAGE                                                     TAG                 IMAGE ID            SIZE
docker.io/library/godevsetup                              latest              aa7dbb2842050       869MB
registry.k8s.io/etcd                                      3.5.6-0             fce326961ae2d       103MB
registry.k8s.io/kube-apiserver                            v1.26.3             801fc1f38fa6c       80.4MB
registry.k8s.io/kube-controller-manager                   v1.26.3             cb77c367deebf       68.5MB
registry.k8s.io/pause                                     3.7                 221177c6082a8       311kB
docker.io/kindest/kindnetd:v20230330-48f316cd             <none>              a329ae3c2c52f       27.7MB
docker.io/kindest/local-path-helper:v20230330-48f316cd    <none>              37af659db0ba1       3.05MB
registry.k8s.io/coredns/coredns                           v1.9.3              5185b96f0becf       14.8MB
docker.io/kindest/local-path-provisioner:v0.0.23-kind.0   <none>              c408b2276bb76       18.7MB
registry.k8s.io/kube-proxy                                v1.26.3             eb3079d47a23a       67.2MB
registry.k8s.io/kube-scheduler                            v1.26.3             dec886d066492       57.8MB Step 4 - Deploy On Local K8s Cluster I have created a Nodeport Service along with the deployment. Check the file. Create the Service and the deployment. yaml [~/godevsetup]# kubectl apply -f godevsetup-nodeport.yaml
deployment.apps/godevsetup created
service/godevsetup-nodeport created You can check the Service and pods are created [~/godevsetup]# kubectl get all
NAME                              READY   STATUS    RESTARTS   AGE
pod/godevsetup-78fbdfb985-4tmz2   1/1     Running   0          3m59s
pod/godevsetup-78fbdfb985-frl2d   1/1     Running   0          3m59s
pod/godevsetup-78fbdfb985-x77g4   1/1     Running   0          3m59s

NAME                          TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)          AGE
service/godevsetup-nodeport   NodePort    10.96.245.170   <none>        9090:30123/TCP   3m59s
service/kubernetes            ClusterIP   10.96.0.1       <none>        443/TCP          52m

NAME                         READY   UP-TO-DATE   AVAILABLE   AGE
deployment.apps/godevsetup   3/3     3            3           3m59s

NAME                                    DESIRED   CURRENT   READY   AGE
replicaset.apps/godevsetup-78fbdfb985   3         3         3       3m59s You can also observe the App pods are created inside the worker nodes [~/godevsetup]# docker exec local-dev-worker crictl ps
CONTAINER           IMAGE               CREATED             STATE               NAME                     ATTEMPT             POD ID              POD
a310b2cf0201d       aa7dbb2842050       5 minutes ago       Running             godevsetup               0                   66781797eb650       godevsetup-78fbdfb985-frl2d
fea54fa36f629       c408b2276bb76       54 minutes ago      Running             local-path-provisioner   0                   d03b938684afd       local-path-provisioner-75f5b54ffd-k7xfb
b11289f372caf       5185b96f0becf       54 minutes ago      Running             coredns                  0                   0b51dcb843021       coredns-787d4945fb-wqxst
ee14e1dc8ff83       5185b96f0becf       54 minutes ago      Running             coredns                  0                   e7a1e535bb183       coredns-787d4945fb-g7xnq
99a540c5658fb       a329ae3c2c52f       54 minutes ago      Running             kindnet-cni              0                   eb134c7507011       kindnet-gmzxc
aaebc183b9f6a       eb3079d47a23a       54 minutes ago      Running             kube-proxy               0                   a7b50875a469f       kube-proxy-6wj5v

[~/godevsetup]# docker exec local-dev-worker2 crictl ps
CONTAINER           IMAGE               CREATED             STATE               NAME                ATTEMPT             POD ID              POD
b2d32e5b552f7       aa7dbb2842050       5 minutes ago       Running             godevsetup          0                   872cff6cf3ea3       godevsetup-78fbdfb985-4tmz2
9ae704f8c8669       aa7dbb2842050       5 minutes ago       Running             godevsetup          0                   e186f3ccda549       godevsetup-78fbdfb985-x77g4
79013566e33e8       a329ae3c2c52f       54 minutes ago      Running             kindnet-cni         0                   959abab06b391       kindnet-tg2jl
0611eaced1aad       eb3079d47a23a       54 minutes ago      Running             kube-proxy          0                   49477d56a66c8       kube-proxy-96f5x Step 5 - Verify The Functionally Since we have created a NodePort Service, we can access the service using Node’s IP First, identify the Node IPs [~/godevsetup]# kubectl get nodes -o wide
NAME                      STATUS   ROLES           AGE   VERSION   INTERNAL-IP   EXTERNAL-IP   OS-IMAGE             KERNEL-VERSION      CONTAINER-RUNTIME
local-dev-control-plane   Ready    control-plane   58m   v1.26.3   172.18.0.4    <none>        Ubuntu 22.04.2 LTS   5.15.0-72-generic   containerd://1.6.19-46-g941215f49
local-dev-worker          Ready    <none>          57m   v1.26.3   172.18.0.2    <none>        Ubuntu 22.04.2 LTS   5.15.0-72-generic   containerd://1.6.19-46-g941215f49
local-dev-worker2         Ready    <none>          57m   v1.26.3   172.18.0.3    <none>        Ubuntu 22.04.2 LTS   5.15.0-72-generic   containerd://1.6.19-46-g941215f49 The INTERNAL-IP is the IP of the worker node. Now access the API’s ReST endpoint using any of the Node’s IP and Port (Port is mentioned as in our file) nodePort: 30123 yaml [~/godevsetup]# curl 172.18.0.4:30123
Hostname: godevsetup-78fbdfb985-frl2d

[~/godevsetup]# curl 172.18.0.2:30123
Hostname: godevsetup-78fbdfb985-frl2d

[~/godevsetup]# curl 172.18.0.3:30123
Hostname: godevsetup-78fbdfb985-4tmz2 Cool.. We are done. Now if you want to Enhance (or Bug-fix) your App, restart from Step 1. But before that, remove the Service and Deployment. [~/godevsetup]# kubectl delete -f godevsetup-nodeport.yaml 
deployment.apps "godevsetup" deleted
service "godevsetup-nodeport" deleted Sign Off… This blog covers how to set up a local k8s cluster using KinD. And how can we leverage it for the App deployment and testing. Thank you for reading the post. Please comment on how you find this. Connect me on to get updates on future blog posts. Twitter Also published . here

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