Cambrian Technologies

The main challenge you face as an ISV? The time it takes to move from your current architecture to a full-fledged SaaS architecture. It is a complex process that takes several years, but will your customers wait that long? This is where we can help. Our tried-and-tested approach allows you to achieve 80% of what your end customers expect from you within months—without having to redesign your application. This buys you time to move to a fully-fledged SaaS model without the risk of losing customers. Want to know more about our approach? Take a look at our website: https://lnkd.in/ettyuQHJ #aws #partner #hybridworking #cloudcomputing

💥𝐖𝐡𝐲 𝐜𝐚𝐥𝐥 𝐚 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐂𝐚𝐦𝐛𝐫𝐢𝐚𝐧 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬?☁️ We take our name from the Cambrian Explosion, which you might know as the "biological big bang". Millions of years ago during the Cambrian geological era, favorable conditions to life resulted in the sudden appearance of multicellular animals. Nowadays, public cloud providers and their ecosystem are providing the fast-paced conditions necessary to “explode” the digital transformation into existence. Want to know more about who we are and what we can do for you? Take a peek at our website ⬇️ https://lnkd.in/ewBQHsMp #cambriantechnologies #aws #partner #hybridworking #inspiration

📚 Dive into our ultimate white paper on Azure vs. AWS!  Understanding that optimizing resources and minimizing costs is vital, our white paper answers:  📌 Is Azure the best choice for Microsoft components?  📌 How do you fairly compare AWS with Azure?  📌 What are the benefits of AWS Optimization and Licensing Assessment (OLA)?  Hint: To truly compare AWS and Azure, you must understand Microsoft’s pricing strategies. Download your copy of “Uncovering Cloud Cost Savings: A Closer Look at Licenses and Resources” here. 👇  https://lnkd.in/eVuGtmtD #cambriantechnologies #aws #whitepaper #cloudcomputing #Azure 

This team is clearly in the zone, adding key functionalities at warp speed - taking us to where no man has gone before

I really like this experiment. Everyone can relate to it easily. And, it is not about showing a 'hallucinating' answer after posing a trick(y) question. It is about normal, day-to-day human interaction. Showing the state of affairs in GenAI (?) When you view it, do not focus 'how fast can the model win the game?' This made me think about the (young) age at which human beings would be able to interact differently (already). With more comprehension about what is going on. Also, with more empathy for the other (human) player and - spoiler alert - without bragging about their own (superior) intelligence. Here is the setting: You are asked to play a game with a friend. He knows the rules, and in his experience, everyone will get it after they have done it once. Wouldn't you start by disclosing that you have never played it before and do not know the rules? And, after the first (brief) explanation and your first answer, it is obvious you did not get it at all. What would you do next? See how the interaction evolves with this 'chat bot'... Let's turn to business. I am curious to see how companies will deal with this. For example, it is obvious that adding 'intelligence' (or rather 'comprehension') to chat bots is needed and possible (soon). But no doubt, everyone will be terrified when discovering that one of your customers experienced such an interaction (and posted it on linkedin)...

In the unlikely event that you want to know how on earth (pun intended) 'potatoes' end up taking the stage during a technology event about Data Governance, Generative BI and NoCode Machine Learning: > you can watch the long version of the video... or, > you read about it in this blog post about "speeding up the potato revolution": https://lnkd.in/ekmS7eGh

🏆 𝐖𝐞𝐥𝐜𝐨𝐦𝐞 𝐭𝐨 𝐭𝐡𝐞 𝐮𝐥𝐭𝐢𝐦𝐚𝐭𝐞 𝐜𝐥𝐨𝐮𝐝 𝐟𝐚𝐜𝐞-𝐨𝐟𝐟!   At the press conference, boxer Azure directs his attention directly to the journalists: “You use Microsoft components, so I am able to offer more competitive pricing!” The reporters are captivated by Azure’s compelling message, assuming that opting for the Microsoft stack makes Azure the natural choice.   But here comes Amazon Web Services (AWS). He grabs the microphone from Azure’s hand. “I heard that bold claim too many times,” he says, with the calmness you expect from a champion. “You cannot accurately compare costs without taking Microsoft’s licensing into account and optimize around it.”  “But my promoter offers Azure Hybrid Benefit combined with Software Assurance!” Azure spits out and thrusts his finger in AWS’s face.  “Speaking of the sad demise of Software Assurance…”, the multi-time champion begins his sentence. But before the situation explodes, the PR people end the press conference. The reporters are left in suspense. Who will win the battle? Read the full story in our blog here! 👇  https://lnkd.in/gMqXA-T4 #cambriantechnologies #aws #inspiration #cloudcomputing #azure

Attributed to Scrooge McDuck, the mantra "Work smarter, not harder" has never been more relevant than it is today. Leveraging cloud technology is the key to unlocking this efficiency.  ☁️ Seamlessly scale your resources up or down based on demand. No more overprovisioning or underutilization.  ☁️ Access your work from anywhere, anytime. The cloud ensures you are always connected.  ☁️ Collaborate in real-time with your team, no matter where they are. The cloud brings everyone to the same table.  ☁️ Rest easy knowing your data is protected with the highest security standards.  By embracing cloud computing, you can optimize your workflow, reduce costs, and focus on what truly matters: innovation and growth. Ready to take the next step? Discover how cloud technology can transform your business. https://lnkd.in/e7_wj-nR #cambriantechnologies #aws #cloudcomputing #growth #innovation

We experience that some organizations continue to translate their legitimate resilience requirements into 'the required distance between DCs must be at least [so many] miles' when moving to the cloud. This does not make sense. Moreover, some have copied their existing on-prem number as the required minimal distance between 'Zones' or 'Regions', when they compare cloud service provider (CSP) options. There are real engineering differences that exist between CSPs and their services. These differences exist and they impact resiliency - as the reposted item explains. Simply copying previously useful distances may lead to unnecessarily expensive cloud architectures, or overly optimistic ones. CSPs use identical words, but these do not imply identical architectures or resiliency. As a result, it may be hard to fathom that 'not all Regions are created equal'. Also analysts may be a bit too subtle about this topic. For example, in Gartner's Magic Quadrant (MQ) descriptions you would have to be able to read between the lines (or pay for the analyst): "[CSP X] has the lowest ratio of availability zones to regions of any vendor in this MQ, and a limited set of services support the availability zone model. As a result, Gartner continues to have concerns related to the overall architecture and implementation of [CSPs cloud], despite resilience-focused engineering efforts and improved metrics during the past year." >> What does this mean for my design? >> How can I compare different CSPs? What to do? Be curious & explore public sources & ask questions. 1. Statistics about resilience are available. They are also an invitation to dive deeper; to engage with the CSPs and understand their architectures - and the ideas behind them - that lead to their performances. 2. Some CSPs have gone in depth to explain their philosophy. In particular, James Hamilton, Werner Vogels and Peter DeSantis from AWS delivered many detailed insights over the years at re:Invent. How they baked resilience into the designs of their DCs, Regions, components and cloud-services - because 'everything fails all the time'. Available on youtube. Rethink - Reset - Redirect

Did you know? Cloud computing is ChatGPT's secret ingredient. Here is why:  🔍 Massive language models thrive on vast datasets during training. Cloud storage streamlines the management, access, and updates of these datasets.  ⚙️ Models like GPT-3.5 and 4 are computational giants, requiring significant processing power for training. Equally, running inference for millions of users is extremely compute and memory intensive. 🚀 Cloud computing ensures effortless scalability, enabling the deployment of these models across distributed servers. This is key for handling numerous user requests while maintaining low response times.  Discover more about how cloud computing drives innovation. Read our blog here. 👇  https://lnkd.in/eVBbRWNW #cambriantechnologies #aws #inspiration #cloudcomputing #chatgpt