In this report, Rishidot Research analyst Sateesh Narahari looks at the data around Serverless Architectures in the public web to analyze if this is a beginning of a new trend in IT.
Create an IoT Gateway and Establish a Data Pipeline to AWS IoT with Intel - I...Amazon Web Services
?
This document provides an overview and agenda for a workshop on creating an IoT gateway and establishing a data pipeline from edge devices to AWS IoT using Intel technology. The workshop will include an overview of Intel IoT technology including NUC gateways, development tools, and libraries. It will also cover an overview of AWS IoT services and a hands-on lab connecting Intel devices to AWS IoT using MQTT protocol and visual programming with Node-RED.
This position paper talks about the importance of open source in cloud computing briefly discussing its impact on both service provider market and enterprise market. It also highlights potential pitfalls
AppZero focuses on enabling application migration between cloud providers through its zapp migration technique, which migrates applications at the process layer rather than the virtual machine layer. AppZero's technology can migrate applications between cloud environments and help enterprises move applications to public clouds. However, migration currently requires shutting down the application, limiting its use for live migrations or cloud bursting architectures. Overall, AppZero provides a unique approach to application migration compared to other solutions focused on virtual machine migration.
CloudVelocity provides a technology called One Hybrid Cloud that automates the migration of applications between hybrid cloud environments and from enterprise data centers to public clouds. It uses automated discovery to package applications and their dependencies together for migration, which can reduce migration time from hours or days to just minutes. While it addresses some challenges like hypervisor dependencies, CloudVelocity does not currently manage infrastructure services like DNS that may require manual configuration for cloud bursting scenarios.
- Midokura is a company that provides a Software-Defined Networking solution called MidoNet.
- MidoNet uses a shared state, fully meshed virtual overlay network architecture to address limitations of controller-based SDN models. It overlays existing L2/L3 networks and provides a highly dynamic and flexible virtual network defined by roles and policies.
- MidoNet's architecture can seamlessly expand across network domains, enabling federated hybrid cloud implementations.
Ravello Systems helps migrate applications between on-premise datacenters and cloud environments using their Cloud Application Hypervisor technology. This allows encapsulation of all VMs needed for an application, making migration seamless across clouds. Ravello is offered as a SaaS, allowing users to deploy applications visually to any cloud. Their technology brings parity between development and production environments, removes infrastructure lock-in concerns, and allows seamless migration. While being new, key advantages are low cost, visual editor, and encapsulation above host hypervisors. Competitors include PaaS providers.
Interest in Postgres is soaring as new features and capabilities advance Postgres to compete with major traditional database vendors like Oracle and Microsoft and to provide the same flexibility as NoSQL niche providers like MongoDB. As needs emerge, Postgres responds with new technology from a vast and vibrant community of committed PostgreSQL developers and the support of marketplace leaders like EnterpriseDB.
This document provides a comparison of Microsoft Azure and Amazon Web Services (AWS). It includes a mind map outlining the key services offered by each platform, as well as their strategies for public and hybrid cloud offerings. The document also discusses market perceptions and the growth and adoption of each platform over time. Key concerns about choosing between the platforms are outlined.
Our cofounder Alex Dean gave an introduction to Snowplow and then talked about our roadmap for 2017. Alex touched on several topics including support for more clouds, support for more storage targets, tailoring Snowplow to your industry, more intelligent event sources, moving our batch pipeline to Spark, mega-scale Snowplow and real-time support for Sauna, our decisioning and response system. Presented on 5 April 2017.
Beginner's Guide to 'The Cloud' with LearnVest's Tech LeadProduct School
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LearnVest's Tech Lead, Rudra Dixit, gave an introduction to The Cloud and PAAS (Platform as a Service), SAAS (Software as a Service) and FAAS (Function as a Service). He also talked about AWS, Heroku, Azure, Google Cloud and gave examples of how to deploy an application using AWS & Heroku.
Future Proofing Your Office 365 & SharePoint StrategyRichard Harbridge
?
Having an effective Office 365 and SharePoint strategy is essential to getting the full value out of your platform investment. But how do you create an effective strategy and where do you start?
Office 365 and SharePoint are constantly evolving as a platform so once you have a strategy, how do you ensure it will be successful over time?
Join Richard Harbridge as he discusses the importance of effective Office 365 strategies and outlines real-world best practices in the industry.
Powerful Google developer tools for immediate impact! (2023-24 B)wesley chun
?
This is one of two presentations to students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many other cloud services? In this comprehensive yet still high-level overview of Google Cloud tools & APIs with the purpose of inspiring you as to what's possible. The session introduces Google's serverless platforms and machine learning & other APIs, tools that have an immediate impact on projects, alleviating the need to think about computing infrastructure as well as dispensing with the need to have machine learning expertise. We'll wrap up w/online resources like videos & hands-on tutorials to get you started! The main takeaways are where to run your code, store your data, and analyze your data, all in the cloud!
This talk is 1-hr in length.
The other version of this talk ("A") is an 45-mins long and focuses more on APIs platforms.
Documenting RESTful APIs with Spring REST Docs VMware Tanzu
?
SpringOne Platform 2017
Jennifer Strater, Zenjob
"RESTful APIs are eating the world, yet all too often the documentation can cause indigestion for the APIs' developers and their users. Developers have to deal with annotation overload, repetition, and an unpleasant writing environment. Users are then left with documentation that's inaccurate and difficult to use. It doesn't have to be this way.
This talk will introduce Spring REST Docs and its test-driven approach to RESTful API documentation. We'll look at how it combines the power of Asciidoctor and your integration tests to produce documentation that's accurate and easy-to-read, while keeping your code DRY and free from annotation overload. We'll look at features that are new in Spring REST Docs, focusing on support for documenting APIs that have been implemented using Spring Framework 5's WebFlux."
How to Choose the Right Technology Stack for SaaS Development?.pdfDark Bears
?
Dark Bears is a top Software Development Company in the USA. Founded in 2009, It is an ISO Certified, award-winning IT & Software Development Company. Since our inception, we have successfully delivered hundreds of Mobile App Development projects, Website Application Development, E-commerce Website development, Content Management Systems (CMS), Web Designing, Advanced Computing like AI, BlockChain, and IOT with 100% client satisfaction.
The document contains announcements for the Brisbane Azure User Group (BAUG) including upcoming presentations from January 2023 to September 2023 on various Azure topics. It also includes job opportunities with Deloitte Platform Engineering for those with Azure skills, as well as various Azure news and learning resources.
Microsoft Azure and the Competitive Public Cloud Industry: What You Need to KnowRichard Harbridge
?
Public cloud platforms are important for the future. Many organizations have made big bets, and are continuing to evaluate their options in the public and hybrid cloud arena. Microsoft has become a major player in the public cloud space, but it has plenty of competitors: Amazon, Google, OpenStack, Salesforce/Force.com and more. How do these providers compare to Azure? And whats likely to happen in the industry as we move into the future? Join Richard Harbridge as he provides guidance and advice for how Azure measures up based on customer experience and industry insights.
Microsoft Azure And The Competitive Cloud Industry - SharePoint FestRichard Harbridge
?
Public Cloud platforms are important for the future. Many organizations have made big bets and are continuing to evaluate their options in the Public & Hybrid Cloud arena. Microsoft has become a major player in the Public Cloud space, but it has plenty of competitors: Amazon, Google, OpenStack, Salesforce/Force.com and more. How do these providers compare to Azure? And whats likely to happen in the industry as we move into the future?
Join Richard Harbridge as he provides guidance and advice for how Azure measures up based on customer experience and industry insights.
This document outlines the agenda for the BigData Cloud Architects Meetup Group meeting. The bi-weekly meeting will run from 2:00-4:00pm on Saturdays. It will include socializing, introductions, a topic presentation, and wrap up. The May 20th meeting will focus on deploying applications in Amazon AWS and include an Amazon services primer, security controls discussion, and demo of deploying a sample app. Feedback from attendees is requested to help plan future meetup topics.
The right architecture is key for any IT project. This is especially the case for big data projects, where there are no standard architectures which have proven their suitability over years. This session discusses the different Big Data Architectures which have evolved over time, including traditional Big Data Architecture, Streaming Analytics architecture as well as Lambda and Kappa architecture and presents the mapping of components from both Open Source as well as the Oracle stack onto these architectures.
The right architecture is key for any IT project. This is valid in the case for big data projects as well, but on the other hand there are not yet many standard architectures which have proven their suitability over years.
This session discusses different Big Data Architectures which have evolved over time, including traditional Big Data Architecture, Event Driven architecture as well as Lambda and Kappa architecture.
Each architecture is presented in a vendor- and technology-independent way using a standard architecture blueprint. In a second step, these architecture blueprints are used to show how a given architecture can support certain use cases and which popular open source technologies can help to implement a solution based on a given architecture.
AWS Summit Sydney 2014 | Opening Keynote - Dr Werner Vogels, VP & CTO, Amazon...Amazon Web Services
?
This document summarizes the AWS Summit 2014 agenda. It discusses how AWS has grown to be the market leader in cloud infrastructure services with over 5 times the capacity of other providers. It highlights how AWS's breadth of services across storage, databases, analytics and more allows customers to build sophisticated, scalable applications. The document also discusses how AWS's global network of regions and availability zones provides customers reliable and performant infrastructure around the world.
Cloud analytics is a type of cloud service model where data analysis and related services are performed on a public or private cloud. Cloud analytics can refer to any data analytics or business intelligence process that is carried out in collaboration with a cloud service provider.
Cloud analytics is also known as Software as a Service (SaaS)-based business intelligence (BI).
Rob Rastovich of Appirio presents "Migrating Enterprise Apps to the Cloud (PaaS)" at SDForum Cloud Services SIG at Stanford University on Tuesday August 24th
This document provides an overview of IT/Network Operations concepts and strategies to improve cloud production. It begins with Joe Dietz introducing himself as a Network Security Professional and listing his current certifications. It then discusses various local user groups and events related to cloud security. The document covers topics such as selecting public vs private clouds, choosing cloud providers and applications, operational considerations, and approaches to connecting networks to the cloud such as extending datacenters or enabling edge services. It emphasizes that moving to the cloud still requires planning and not all applications are good candidates. The summary concludes by mentioning related reading on hybrid cloud services and tools.
The death of the data warehouse has been overhyped for
some time now, but its no secret that growth in this segment
of the market has been slowing. But we now see a major shift
in the application of this technology to the cloud where
Amazon led the way with an on-demand cloud data warehouse
in Redshift. Redshift was AWSs fastest growing service
but it now has competition from Google with BigQuery,
Interest in Postgres is soaring as new features and capabilities advance Postgres to compete with major traditional database vendors like Oracle and Microsoft and to provide the same flexibility as NoSQL niche providers like MongoDB. As needs emerge, Postgres responds with new technology from a vast and vibrant community of committed PostgreSQL developers and the support of marketplace leaders like EnterpriseDB.
This document provides a comparison of Microsoft Azure and Amazon Web Services (AWS). It includes a mind map outlining the key services offered by each platform, as well as their strategies for public and hybrid cloud offerings. The document also discusses market perceptions and the growth and adoption of each platform over time. Key concerns about choosing between the platforms are outlined.
Our cofounder Alex Dean gave an introduction to Snowplow and then talked about our roadmap for 2017. Alex touched on several topics including support for more clouds, support for more storage targets, tailoring Snowplow to your industry, more intelligent event sources, moving our batch pipeline to Spark, mega-scale Snowplow and real-time support for Sauna, our decisioning and response system. Presented on 5 April 2017.
Beginner's Guide to 'The Cloud' with LearnVest's Tech LeadProduct School
?
LearnVest's Tech Lead, Rudra Dixit, gave an introduction to The Cloud and PAAS (Platform as a Service), SAAS (Software as a Service) and FAAS (Function as a Service). He also talked about AWS, Heroku, Azure, Google Cloud and gave examples of how to deploy an application using AWS & Heroku.
Future Proofing Your Office 365 & SharePoint StrategyRichard Harbridge
?
Having an effective Office 365 and SharePoint strategy is essential to getting the full value out of your platform investment. But how do you create an effective strategy and where do you start?
Office 365 and SharePoint are constantly evolving as a platform so once you have a strategy, how do you ensure it will be successful over time?
Join Richard Harbridge as he discusses the importance of effective Office 365 strategies and outlines real-world best practices in the industry.
Powerful Google developer tools for immediate impact! (2023-24 B)wesley chun
?
This is one of two presentations to students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many other cloud services? In this comprehensive yet still high-level overview of Google Cloud tools & APIs with the purpose of inspiring you as to what's possible. The session introduces Google's serverless platforms and machine learning & other APIs, tools that have an immediate impact on projects, alleviating the need to think about computing infrastructure as well as dispensing with the need to have machine learning expertise. We'll wrap up w/online resources like videos & hands-on tutorials to get you started! The main takeaways are where to run your code, store your data, and analyze your data, all in the cloud!
This talk is 1-hr in length.
The other version of this talk ("A") is an 45-mins long and focuses more on APIs platforms.
Documenting RESTful APIs with Spring REST Docs VMware Tanzu
?
SpringOne Platform 2017
Jennifer Strater, Zenjob
"RESTful APIs are eating the world, yet all too often the documentation can cause indigestion for the APIs' developers and their users. Developers have to deal with annotation overload, repetition, and an unpleasant writing environment. Users are then left with documentation that's inaccurate and difficult to use. It doesn't have to be this way.
This talk will introduce Spring REST Docs and its test-driven approach to RESTful API documentation. We'll look at how it combines the power of Asciidoctor and your integration tests to produce documentation that's accurate and easy-to-read, while keeping your code DRY and free from annotation overload. We'll look at features that are new in Spring REST Docs, focusing on support for documenting APIs that have been implemented using Spring Framework 5's WebFlux."
How to Choose the Right Technology Stack for SaaS Development?.pdfDark Bears
?
Dark Bears is a top Software Development Company in the USA. Founded in 2009, It is an ISO Certified, award-winning IT & Software Development Company. Since our inception, we have successfully delivered hundreds of Mobile App Development projects, Website Application Development, E-commerce Website development, Content Management Systems (CMS), Web Designing, Advanced Computing like AI, BlockChain, and IOT with 100% client satisfaction.
The document contains announcements for the Brisbane Azure User Group (BAUG) including upcoming presentations from January 2023 to September 2023 on various Azure topics. It also includes job opportunities with Deloitte Platform Engineering for those with Azure skills, as well as various Azure news and learning resources.
Microsoft Azure and the Competitive Public Cloud Industry: What You Need to KnowRichard Harbridge
?
Public cloud platforms are important for the future. Many organizations have made big bets, and are continuing to evaluate their options in the public and hybrid cloud arena. Microsoft has become a major player in the public cloud space, but it has plenty of competitors: Amazon, Google, OpenStack, Salesforce/Force.com and more. How do these providers compare to Azure? And whats likely to happen in the industry as we move into the future? Join Richard Harbridge as he provides guidance and advice for how Azure measures up based on customer experience and industry insights.
Microsoft Azure And The Competitive Cloud Industry - SharePoint FestRichard Harbridge
?
Public Cloud platforms are important for the future. Many organizations have made big bets and are continuing to evaluate their options in the Public & Hybrid Cloud arena. Microsoft has become a major player in the Public Cloud space, but it has plenty of competitors: Amazon, Google, OpenStack, Salesforce/Force.com and more. How do these providers compare to Azure? And whats likely to happen in the industry as we move into the future?
Join Richard Harbridge as he provides guidance and advice for how Azure measures up based on customer experience and industry insights.
This document outlines the agenda for the BigData Cloud Architects Meetup Group meeting. The bi-weekly meeting will run from 2:00-4:00pm on Saturdays. It will include socializing, introductions, a topic presentation, and wrap up. The May 20th meeting will focus on deploying applications in Amazon AWS and include an Amazon services primer, security controls discussion, and demo of deploying a sample app. Feedback from attendees is requested to help plan future meetup topics.
The right architecture is key for any IT project. This is especially the case for big data projects, where there are no standard architectures which have proven their suitability over years. This session discusses the different Big Data Architectures which have evolved over time, including traditional Big Data Architecture, Streaming Analytics architecture as well as Lambda and Kappa architecture and presents the mapping of components from both Open Source as well as the Oracle stack onto these architectures.
The right architecture is key for any IT project. This is valid in the case for big data projects as well, but on the other hand there are not yet many standard architectures which have proven their suitability over years.
This session discusses different Big Data Architectures which have evolved over time, including traditional Big Data Architecture, Event Driven architecture as well as Lambda and Kappa architecture.
Each architecture is presented in a vendor- and technology-independent way using a standard architecture blueprint. In a second step, these architecture blueprints are used to show how a given architecture can support certain use cases and which popular open source technologies can help to implement a solution based on a given architecture.
AWS Summit Sydney 2014 | Opening Keynote - Dr Werner Vogels, VP & CTO, Amazon...Amazon Web Services
?
This document summarizes the AWS Summit 2014 agenda. It discusses how AWS has grown to be the market leader in cloud infrastructure services with over 5 times the capacity of other providers. It highlights how AWS's breadth of services across storage, databases, analytics and more allows customers to build sophisticated, scalable applications. The document also discusses how AWS's global network of regions and availability zones provides customers reliable and performant infrastructure around the world.
Cloud analytics is a type of cloud service model where data analysis and related services are performed on a public or private cloud. Cloud analytics can refer to any data analytics or business intelligence process that is carried out in collaboration with a cloud service provider.
Cloud analytics is also known as Software as a Service (SaaS)-based business intelligence (BI).
Rob Rastovich of Appirio presents "Migrating Enterprise Apps to the Cloud (PaaS)" at SDForum Cloud Services SIG at Stanford University on Tuesday August 24th
This document provides an overview of IT/Network Operations concepts and strategies to improve cloud production. It begins with Joe Dietz introducing himself as a Network Security Professional and listing his current certifications. It then discusses various local user groups and events related to cloud security. The document covers topics such as selecting public vs private clouds, choosing cloud providers and applications, operational considerations, and approaches to connecting networks to the cloud such as extending datacenters or enabling edge services. It emphasizes that moving to the cloud still requires planning and not all applications are good candidates. The summary concludes by mentioning related reading on hybrid cloud services and tools.
The death of the data warehouse has been overhyped for
some time now, but its no secret that growth in this segment
of the market has been slowing. But we now see a major shift
in the application of this technology to the cloud where
Amazon led the way with an on-demand cloud data warehouse
in Redshift. Redshift was AWSs fastest growing service
but it now has competition from Google with BigQuery,
In this research brief, we talk about the role of machine learning and artificial intelligence in Observability. The market is still in early stages and we expect mainstream adoption in the next 2-3 years. It is time for Modern IT Operations/SRE/DevOps teams to understand how Observability is different from traditional marketing and how it can help run resilient services with cloud native architectures.
VMs, Containers or Serverless? What is the right technology? It depends on your application architecture. This flow diagram from Rishidot Research will help. Monoliths, Microservices or event driven functions determines this.
The document provides an overview of the Platform as a Service (PaaS) landscape, discussing key aspects of PaaS including definitions, hosted vs private models, single language vs polyglot platforms, and the evolution of PaaS towards supporting big data and becoming intelligent platforms. It also covers various PaaS vendors and differentiation factors.
These are slides from a talk I gave at Pitney Bowes on the need for building intelligent platforms for building applications and services suitable for the big data world.
ݺߣs of talk given at the Startup Center in Chennai. In this talk, I talk about the services future and how startups can play a critical role in such a future.
The document discusses the importance of open source software and federated cloud computing in creating a competitive cloud marketplace. It argues that open source technologies like OpenStack are enabling the creation of federated cloud ecosystems that avoid vendor lock-in and allow for a heterogeneous environment with many players. The author believes open source and federated clouds are key to ensuring a competitive cloud market that meets diverse needs globally.
This is session #3 of the 5-session online study series with Google Cloud, where we take you onto the journey learning generative AI. Youll explore the dynamic landscape of Generative AI, gaining both theoretical insights and practical know-how of Google Cloud GenAI tools such as Gemini, Vertex AI, AI agents and Imagen 3.
Supercharge Your Career with UiPath CertificationsDianaGray10
?
Join us on February 25th as we discuss how you can supercharge your career with the updated 2025 UiPath Certifications.
Diana Gray, UiPath Senior Community Marketing Manager, Americas, will walk us through:
-- Workforce Trends
-- Value of UiPath Certifications
-- Certification Program
-- Steps to Earning a Certificate
How to teach M365 Copilot and M365 Copilot Chat prompting to your colleagues. Presented at the Advanced Learning Institute's "Internal Communications Strategies with M365" event on February 27, 2025. Intended audience: Internal Communicators, User Adoption Specialists, IT.
Caching for Performance Masterclass: The In-Memory DatastoreScyllaDB
?
Understanding where in-memory data stores help most and where teams get into trouble.
- Where in the stack to cache
- Memcached as a tool
- Modern cache primitives
It is an in-depth exploration of how technology is transforming the financial sector. Covering the evolution of FinTech from credit cards to AI-driven banking, this guide explains key innovations such as blockchain, DeFi, AI-powered assistants, and central bank digital currencies (CBDCs). Learn how FinTech is enhancing banking, lending, and payments through automation, data analytics, and decentralized solutions. Whether you're a financial professional or just curious about the future of digital finance, this guide offers valuable insights into the rapidly evolving FinTech landscape.
Caching for Performance Masterclass: Caching at ScaleScyllaDB
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Weighing caching considerations for use cases with different technical requirements and growth expectations.
- Request coalescing
- Negative sharding
- Rate limiting
- Sharding and scaling
This is a comprehensive guide explaining how blockchain technology works, its key features, and real-world applications in industries like finance, supply chain, and retail. Learn about different blockchain networks (public, private, and consortium) and the challenges businesses face in adopting blockchain. Discover how blockchain consulting can help businesses implement secure, transparent, and efficient solutions, reducing risks and optimizing operations. This guide is ideal for businesses exploring blockchain adoption and seeking expert guidance.
Agentic AI: The 2025 Next-Gen Automation GuideThoughtminds
?
Introduction to Agentic AI: Explains how it differs from traditional automation and its ability to make independent decisions.
Comparison with Generative AI: A structured comparison between Generative AI (content creation) and Agentic AI (autonomous action-taking).
Technical Breakdown: Covers core components such as LLMs, reinforcement learning, and cloud infrastructure that power Agentic AI.
Real-World Use Cases (2025 & Beyond): Examines how Agentic AI is transforming industries like insurance, healthcare, retail, finance, and cybersecurity.
Business Impact & ROI: Discusses case studies from Unilever, FedEx, and more, showcasing cost savings and operational efficiency improvements.
Challenges & Risks: Highlights bias, security threats, regulatory compliance, and workforce reskilling as critical challenges in AI adoption.
5-Step Implementation Strategy: A practical roadmap to help organizations integrate Agentic AI seamlessly.
Future Predictions (2025-2030): Forecasts on AI-driven workforce evolution, industry disruptions, and the rise of Quantum AI.
Kickstart Your QA: An Introduction to Automated Regression Testing ToolsShubham Joshi
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For teams eager to elevate their quality assurance practices, this guide offers an introductory look at automated regression testing tools. In the realm of software development, regression tests are vital to ensuring that recent code changes dont inadvertently break existing functionality. This article demystifies how automated regression testing tools function and why theyre indispensable for maintaining software quality. It covers the basics of setting up automated tests, integrating these tests into your CI/CD pipelines, and choosing the right tool to match your projects needs. With clear explanations and actionable insights, youll discover how these tools help reduce manual testing burdens and catch bugs early. The guide also highlights common challenges beginners face and offers practical solutions to overcome them. Whether youre a QA professional or a developer stepping into the world of test automation, this resource will help you kickstart your journey toward more reliable, efficient, and scalable testing practices.
Getting Started with AWS - Enterprise Landing Zone for Terraform Learning & D...Chris Wahl
?
Recording: https://youtu.be/PASG0NTKUQA?si=1Ih7O9z0Lk0IzX9n
Welcome innovators! In this comprehensive tutorial, you will learn how to get started with AWS Cloud and Terraform to build an enterprise-like landing zone for a secure, low-cost environment to develop with Terraform. We'll guide you through setting up AWS Control Tower, Identity and Access Management, and creating a sandbox account, ensuring you have a safe and controlled area for learning and development. You'll also learn about budget management, single sign-on setup, and using AWS organizations for policy management. Plus, dive deep into Terraform basics, including setting up state management, migrating local state to remote state, and making resource modifications using your new infrastructure as code skills. Perfect for beginners looking to master AWS and Terraform essentials!
William Maclyn Murphy McRae, a logistics expert with 9+ years of experience, is known for optimizing supply chain operations and consistently exceeding industry standards. His strategic approach, combined with hands-on execution, has streamlined distribution processes, reduced lead times, and consistently delivered exceptional results.
Drew Madelung is a Cloud Solutions Architect and a Microsoft MVP for Office Apps and Services. He helps organizations realize what is possible with Microsoft 365 & Azure, onboard them in a secure and compliant way, and drive sustained adoption for those solutions. He is experienced in a range of technologies but specializes in the collaboration and teamwork workspaces such as Microsoft Teams, SharePoint, and OneDrive. He has helped deploy Microsoft 365 to multiple global companies while rolling out modern information protection and information governance technologies. He has been doing Microsoft consulting for 10+ years with a strength in security & compliance solutions.
GDG Cloud Southlake #40: Brandon Stokes: How to Build a Great ProductJames Anderson
?
How to Build a Great Product
Being a tech entrepreneur is about providing a remarkable product or service that serves the needs of its customers better, faster, and cheaper than anything else. The goal is to "make something people want" which we call, product market fit.
But how do we get there? We'll explore the process of taking an idea to product market fit (PMF), how you know you have true PMF, and how your product strategies differ pre-PMF from post-PMF.
Brandon is a 3x founder, 1x exit, ex-banker & corporate strategist, car dealership owner, and alumnus of Techstars & Y Combinator. He enjoys building products and services that impact people for the better.
Brandon has had 3 different careers (banking, corporate finance & strategy, technology) in 7 different industries; Investment Banking, CPG, Media & Entertainment, Telecommunications, Consumer application, Automotive, & Fintech/Insuretech.
He's an idea to revenue leader and entrepreneur that helps organizations build products and processes, hire talent, test & iterate quickly, collect feedback, and grow in unregulated and heavily regulated industries.
Mastering ChatGPT & LLMs for Practical Applications: Tips, Tricks, and Use CasesSanjay Willie
?
Our latest session with Astiostech covered how to unlock the full potential of ChatGPT and LLMs for real-world use!
? Key Takeaways:
? Effective Prompting: Crafting context-specific, high-quality prompts for optimal AI responses.
? Advanced ChatGPT Features: Managing system prompts, conversation memory, and file uploads.
? Optimizing AI Outputs: Refining responses, handling large texts, and knowing when fine-tuning is needed.
? Competitive Insights: Exploring how ChatGPT compares with other AI tools.
? Business & Content Use Cases: From summarization to SEO, sales, and audience targeting.
? The session provided hands-on strategies to make AI a powerful tool for content creation, decision-making, and business growth.
? Are you using AI effectively in your workflow? Lets discuss how it can improve efficiency and creativity!
#AI #ChatGPT #PromptEngineering #ArtificialIntelligence #LLM #Productivity #Astiostech
Revolutionizing Field Service: How LLMs Are Powering Smarter Knowledge Access...Earley Information Science
?
Revolutionizing Field Service with LLM-Powered Knowledge Management
Field service technicians need instant access to accurate repair information, but outdated knowledge systems often create frustrating delays. Large Language Models (LLMs) are changing the gameenhancing knowledge retrieval, streamlining troubleshooting, and reducing technician dependency on senior staff.
In this webinar, Seth Earley and industry experts Sanjay Mehta, and Heather Eisenbraun explore how LLMs and Retrieval-Augmented Generation (RAG) are transforming field service operations. Discover how AI-powered knowledge management is improving efficiency, reducing downtime, and elevating service quality.
LLMs for Instant Knowledge Retrieval C How AI-driven search dramatically cuts troubleshooting time.
Structured Data & AI C Why high-quality, organized knowledge is essential for LLM success.
Real-World Implementation C Lessons from deploying LLM-powered knowledge tools in field service.
Business Impact C How AI reduces service delays, optimizes workflows, and enhances technician productivity.
Empower your field service teams with AI-driven knowledge access. Watch the webinar to see how LLMs are revolutionizing service efficiency.
DealBook of Ukraine: 2025 edition | AVentures CapitalYevgen Sysoyev
?
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2024 and the first deals of 2025.
1. Serverless Architectures C Beginning of a trend?
A Rishidot Research Report by Sateesh Narahari
Serverless Architectures
Beginning of a trend? C A research report by Sateesh Narahari
Software is critical strategic investment for many organizations and it is leading
to increased focus on application development. Application stacks have
undergone quite a transformation over last decade. We have seen application
servers mature, new platforms emerge, container based approaches start to take
hold. The latest one to emerge is serverless architectures. Serverless
architectures intuitively make sense when you consider emergence of micro
services. Despite their promise, we are still at the very early days of serverless
architectures and is not yet considered mainstream. In this post, we take stock
of the of top 3 serverless architecture offerings.
2. Serverless Architectures C Beginning of a trend?
A Rishidot Research Report by Sateesh Narahari
Introduction
Amazon's Tim Wagner has a good brief description of what serverless architectures mean:
"By serverless, we mean no explicit infrastructure required, as in: no servers, no deployments onto servers, no
installed software of any kind"
This may be the most exciting new architectural approach in recent times, and it will transform
how applications are developed in the future.
We have considered 3 distinct options: Firebase (owned by Google), Parse (owned by Facebook
and recently shut down) and Lambda (owned by Amazon Web services).
We found that the adoption of serverless architectures has been slow so far and it is an early
indication of the difficulties that face vendors such as AWS to achieve higher adoption.
Firebase (owned by Google)
Started by: Andrew Lee (http://twitter.com/startupandrew ), James Tamplin (http://twitter.com/jamestamplin )
Tweets over time:
Why Tweets: Tweets can be a rough estimate of how a particular topic is trending among geeks.
While tweets do not capture full population, its a data point.
From 1/1/2013 C 9/1/2015
0
500
1000
1500
2000
2500
3000
3500
FireBase Tweets over time
3. Serverless Architectures C Beginning of a trend?
A Rishidot Research Report by Sateesh Narahari
As we can see there were two spikes in tweets, and both dates involve an acquisition. On Oct 21,
2014, Google acquired Firebase. Almost a year later, Google acquired web-hosting company
Divshot and merged it with Firebase team.
Google Trends on Firebase over time:
As we can see there is a steady but slow increase in Google searches, with a spike in 2014 when
Google acquired Firebase. However the number of searches per day is still low.
Top regions for Firebase Google searches are:
United States: 100
Canada: 97
Australia: 87
India: 63
United Kingdom: 59
France: 34
Germany: 34
Brazil: 28
Parse (owned by Facebook and retired by Facebook on 1/28/2016)
Founded by: Ilya Sukhar, James Yu, Kevin Lacker, Tikhon Bernstam
Tweets over time:
0
20
40
60
80
100
120
Firebase Google Trends
4. Serverless Architectures C Beginning of a trend?
A Rishidot Research Report by Sateesh Narahari
Facebook acquired Parse on Apr 25, 2013 and we see a spike in tweets on Apr 26, 2013. The
second short spike was on Apr 30, 2014 when Facebook dropped pricing on Parse, added offline
capabilities. The third spike was on Mar 26, 2015 when Parse announced an SDK for Internet of
Things. The third shorter spike happened in August of 2015 when Parse had open sourced all of
its SDKs.
Lets look at Google trends for Parse:
We see that the Google trends for Parse is trending upwards slowly and steadily.
0
50
100
150
200
250
300
Parse Tweets
0
20
40
60
80
100
120
2013-01-06 -2013-
2013-02-17 -2013-
2013-03-31 -2013-
2013-05-12 -2013-
2013-06-23 -2013-
2013-08-04 -2013-
2013-09-15 -2013-
2013-10-27 -2013-
2013-12-08 -2013-
2014-01-19 -2014-
2014-03-02 -2014-
2014-04-13 -2014-
2014-05-25 -2014-
2014-07-06 -2014-
2014-08-17 -2014-
2014-09-28 -2014-
2014-11-09 -2014-
2014-12-21 -2014-
2015-02-01 -2015-
2015-03-15 -2015-
2015-04-26 -2015-
2015-06-07 -2015-
2015-07-19 -2015-
2015-08-30 -2015-
2015-10-11 -2015-
2015-11-22 -2015-
2016-01-03 -2016-
Parse Google Trends
5. Serverless Architectures C Beginning of a trend?
A Rishidot Research Report by Sateesh Narahari
Top regions for Google searches for Parse are:
India 100
United States 38
AWS Lambda
Even though AWS Lambda was only introduced in late 2014, it has managed to capture the
attention of technology analysts and developers.
Twitter trends for AWS Lambda:
AWS has done a good job of keeping the interest steady since becoming available for production
in Apr 2015. They have kept up the buzz by featuring early adopters and use cases at various
AWS events. However, the second biggest peak in mentions is at the 2015 re:invent conference.
Google trends for AWS shows a steady increase over time:
0
100
200
300
400
500
600
700
800
AWS Lambda Tweets
6. Serverless Architectures C Beginning of a trend?
A Rishidot Research Report by Sateesh Narahari
Top regions for AWS Lambda are:
United States.
If you look at the volume of Tweets and Google trends, Google acquiring Firebase led to the most
discussion/tweets, but then the volume tapered off. Overall, AWS Lambda is leading in terms of
awareness, but the trends show that its volumes are still low.
While just looking at tweet volumes and Google trends does not portray a complete picture of
projects that leverage these serverless architectures, its safe to say that serverless architectures are
not mainstream yet.
Serverless architecture is still in its infancy.
Parse and Firebase have been around for more than 2 years, but not widely used or discussed. It
should come as no surprise to us by looking at the data that Facebook did not see much future for
Parse in their developer stream. Given current trends, it would have required lot more investment
and push from Facebook to keep Parse going. I do believe that Google Firebase faces similar risk,
however, given Googles strategic investment into becoming a serious cloud infrastructure
contender, they may continue investing in Firebase in the near future. Keep in mind that, Google
is known for being cut throat when a product or a feature does not meet its internal growth rates
(ex: Google Reader). Caution is in order for organizations considering to use Firebase at this early
stage.
AWS Lambda is approximately 1 year old and it is generating some early interest and a few
interesting projects, however the adoption of it has been slower.
0
20
40
60
80
100
120
2013-01-06 -2013-
2013-02-17 -2013-
2013-03-31 -2013-
2013-05-12 -2013-
2013-06-23 -2013-
2013-08-04 -2013-
2013-09-15 -2013-
2013-10-27 -2013-
2013-12-08 -2013-
2014-01-19 -2014-
2014-03-02 -2014-
2014-04-13 -2014-
2014-05-25 -2014-
2014-07-06 -2014-
2014-08-17 -2014-
2014-09-28 -2014-
2014-11-09 -2014-
2014-12-21 -2014-
2015-02-01 -2015-
2015-03-15 -2015-
2015-04-26 -2015-
2015-06-07 -2015-
2015-07-19 -2015-
2015-08-30 -2015-
2015-10-11 -2015-
2015-11-22 -2015-
2016-01-03 -2016-
AWS Lambda Google Trends
7. Serverless Architectures C Beginning of a trend?
A Rishidot Research Report by Sateesh Narahari
Serverless architectures promise several benefits, but requires a shift in thinking. This won't
happen that easily unless we see other CSPs begin supporting them
What are some potential reasons for slow uptake?
- New programming model
- Lack of dev toolset integration
- Immaturity surrounding operational practices C its an unknown for operation teams in larger
projects.
- Fears of lock-in
- Difficult to understand cost structure
- Limited support for different languages
What can vendors do to increase the adoption?
- Education
- Engage large customers to adopt it broadly
- Target larger developer audience
- Invest in Dev and Ops tool integrations
Authors Note:
A word of caution: we looked at only publicly available data and havent parsed through several
use cases. This shall only be taken as baselining about serverless architectures as of early 2016 and
not a definitive summary of the state of serverless architectures. We looked at the twitter data till
Q3, 2015 and did not account for Q4 activity as Apple has shut down the tool we were using
(Topsy). We do not believe that Q4 activity would significantly change the trend for Parse and
Firebase. However, due to AWS ReInvent in Oct 2015 and few customer use cases published for
AWS Lambda, this data can be considered incomplete, however it is our subjective assessment
that it does not significantly change our conclusion about current state of serverless architectures.
Author Bio:
Sateesh Narahari, Senior Research Advisor
Sateesh Narahari is a well respected expert on cloud infrastructure and security. He is a strong advocate of public
cloud services as organizations transform into modern enterprise. Sateesh currently works with a stealth cloud
security software company based in Boulder, CO leading their product and engineering teams. Previously, Sateesh
worked with Ping Identity, MuleSoft, Symantec and Wily. Sateesh focuses on building new products in emerging
markets and is a keen student of innovators dilemma, having watched it unfold across many companies. Sateesh
earned a B.Tech (Computer Science) from National Institute of Technology, India and an MS (Computer Science)
from University of Colorado, USA
Research Focus Areas: Application development, Security and Cloud infrastructure