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WHY IT MATTERS: Digital Transformation
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Curated by
Farid Mheir
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IT infrastructure monitoring (ITIM) tools help tackle these new challenges and offer visibility across hybrid infrastructures and emerging architectures. ITIM tools capture health and resource utilization of IT systems — providing real-time insight.
Farid Mheir's insight:
WHY IT MATTERS: cloud computing often means relying on cloud platform or infrastructure distributed across multiple servers and systems. This guide helps make sense of the ITIM and APM solutions on the market and choose the best for you. 
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This frequently-updated page contains real-life examples and diagrams from Upsolver customers who are using AWS data lakes. While the Upsolver platform itself is a key component in all of these architectures, we hope even non-customers can learn from these examples when it comes to the use cases, considerations, and design patterns that go into a typical cloud data lake.
Farid Mheir's insight:
WHY IT MATTERS: you don't see this often these days. A useful compilation of data lake reference architectures - of coursed biased by software vendor upsolver and AWS, but still very useful - with links to the original engineering blogs. Bravo!
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In this article, we’ll present seven of the key best practices you should adhere to when designing, implementing and operationalizing your data lake. These are things that will mostly be automatically implemented if you’re using Upsolver, but if you’re building your data lake ‘manually’ you’ll need to ensure they’re done correctly if you want to get the most value out of your data lake architecture.
Farid Mheir's insight:
WHY IT MATTERS: an obviously biased post form upsolver that nonetheless highlights interesting optimizations that you still need to perform when building data lakes.
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There are many tools available for doing large-scale data analysis, and picking the right one for a given job is critical. Here, we take an in-depth analysis of the architecture and performance characteristics of a completely serverless data processing platform. While the approach isn’t applicable for every use case, it has a very low total cost of ownership (TCO) and because AWS Lambda allows us to run arbitrary code easily, this approach provides the flexibility to handle non-standard data formats easily.
Farid Mheir's insight:
WHY IT MATTERS: cloud computing enables truly amazing things. Case in point this AWS case study where 259TB of data was processed for only 162$. The blog post presents the problema and high level description of the solution. Truly amazing.
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Demand for APIs, fueled by new business models, application development trends and the urgency of modernization, is directing software engineering leaders to the diverse, evolving market for full life cycle API management products. This research assesses 17 vendors to help you make the right choice.
Farid Mheir's insight:
WHY IT MATTERS: as always, take the quadrant with a huge grain of salt - feels like Gartner is creating quadrants to highlight one solution as a leader, and not to really provide guidance, but I digress... - and start your reading at the with the context and market overview. I find interesting that old solutions (Apigee, IBM, mulesoft) manage to remain in the top corner.
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The CNCF Cloud Native Landscape Project is intended to be a resource map to help enterprises and developers through the previously uncharted terrain of cloud native technologies.
Farid Mheir's insight:
WHY IT MATTERS: look here for the trial map to guide newbies towards adoption cloud native technologies.
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In this guide, we’ll break this mammoth landscape down and provide a high-level overview of its layers, columns, and categories.
Farid Mheir's insight:
WHY IT MATTERS: the CNCF guide is the must read starting point to understand the CNCF landscape. Read me first.
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Farid Mheir's insight:
WHY IT MATTERS: a super detailed reference for all technologies and solutions for anyone that needs to be cloud native.
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From
a16z
There is no doubt that the cloud is one of the most significant platform shifts in the history of computing. Now, there is a growing awareness of the long-term cost implications of cloud. As the cost of cloud starts to contribute significantly to the total cost of revenue (COR) or cost of goods sold (COGS), some companies have taken the dramatic step of “repatriating” the majority of workloads (as in the example of Dropbox) or in other cases adopting a hybrid approach (as with CrowdStrike and Zscaler). Those who have done this have reported significant cost savings: In 2017, Dropbox detailed in its S-1 a whopping $75M in cumulative savings over the two years prior to IPO due to their infrastructure optimization overhaul, the majority of which entailed repatriating workloads from public cloud.
Farid Mheir's insight:
WHY IT MATTERS: this article explores the cost of cloud computing for large SaaS companies that rely on cloud computing to run and operate their business. The basic argument is that cloud computing is amputating Billions from the market value of those large organizations. It should be read by every software engineer in every corporation and the proposed solutions implemented rapidly.
This statement summarizes the post best: "For a new startup or a new project, the cloud is the obvious choice. And it is certainly worth paying even a moderate “flexibility tax” for the nimbleness the cloud provides. The problem is, for large companies — including startups as they reach scale — that tax equates to hundreds of billions of dollars of equity value in many cases… and is levied well after the companies have already, deeply committed themselves to the cloud (and are often too entrenched to extricate themselves)."
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Companies should explore seven specific drivers to assess where the value lies in cloud. As companies assess the opportunities enabled by cloud, a detailed review of the sources of value can pinpoint where they need to focus their attention, people, and resources. Across the three dimensions, seven drivers of value can collectively generate more than $1 trillion in value.
Farid Mheir's insight:
WHY IT MATTERS: the opportunity of cloud computing remains whole as per this analysis from McKinsey. One chart of the benefits should convince the most reluctant CIOs that cloud is a good thing.
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The next evolution of AWS Single Sign-On enables enterprises that use Azure AD to leverage their existing identity store with AWS Single Sign-On. Additionally, automatic synchronization of user identities, and groups, from Azure AD is also supported.
Farid Mheir's insight:
WHY IT MATTERS: this is huge for inter-system operability and improved management and user experience. It is now possible to single sign-on between Azure and AWS cloud computing platforms. This is a big deal for us geeks... ;-)
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Curated by Farid Mheir
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WHY IT MATTERS: a great tool comparison reference for monitoring tools.
https://www.metricfire.com/blog/category/comparisons/