Cloud Native Data Strategy with Cosmos DB

The ObjectSharp Podcast

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Threshold

1
Hark | 8 | The Queen's English 30:00

cách đây 19 ngày trước30:00

Nghe Sau

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Thích

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30:00

Living together in a group is a strategy many animals use to survive and thrive. And a big part of what makes that living situation successful is listening. In this episode, we explore the collaborative world of the naked mole-rat. Threshold is nonprofit, listener-supported, and independently produced. You can support Threshold by donating today . To stay connected, sign up for our newsletter . Operation frog sound! Send us your frog sounds for an upcoming episode. We want you to go out, listen for frogs and toads, and record them. Just find someone croaking, and hit record on your phone. It doesn’t matter if there’s background noise. It doesn’t even matter if you’re not sure whether or not you’re hearing an amphibian—if you think you are, we would love to get a recording from you. Please also say your name and where you are in the world, and then email the recording to us at outreach@thresholdpodcast.org…

cách đây 5 năm trước 37:01

MP3•Trang chủ episode

Minutes

0:15 - Intro to the show
1:13 - Dave Judd introduces himself to the show and his work as Application Development Practice Lead
1:45 - Mark Brown introduces himself to the show and his work at Microsoft as Principal Program Manager for Cosmos DB
3:07 - Jeff kicks off discussion on the background of what is Cosmos DB: what it is, why it’s important
3:50 - Mark Brown describes Cosmos DB - a NoSQL data store built on and for Azure - and what sets it apart: it’s a NoSQL database with all of the benefits that come with that (schema agnostic, multi-model - supports a number of APIs); horizontally partitioned (scale out vs scale up); fully managed (provision an account in the portal or using a script or ARM template, set throughput, and you’re up and running). Main use cases are high availability and global distribution; Azure can replicate your data globally, allowing seamless failover to other regions if needed; Azure also provides an SLA on latency, with a guarantee of less than 10 ms. It’s the only data service in Azure with 5 9s of availability. A great solution for customers that need low latency and / or high resiliency.
7:15 - Dave Judd talks about why Cosmos DB has become such a preference for the work he’s been doing at ObjectSharp for its clients, namely: ease of use, incredibly low latency and performance, and global replication allows for better performance for users everywhere - bringing the data closer to the end-user for faster round-tripping
09:20 - Dave Judd talks about using the Cosmos DB Change Feed to allow streaming of data into other places for reporting and analytics
09:50 - Mark Brown talks about customers using Cosmos DB as a cache
10:00 - Jeff discusses the practical significance of Cosmos DB - how it solves real business problems and architectures and is simple to adopt, and not just tech for tech’s sake
11:07 - Dave Judd comments on the barrier to entry being small, unless you’re not used to working with NoSQL, but notes that the multiple APIs available make the barriers to entry even smaller, depending on your background
12:48 - Mark Brown talks about the Mongo DB support on Cosmos and efforts to make the Mongo experience on Cosmos DB even better
13:25 - Nick asks Mark Brown to talk about what’s new and exciting for Cosmos DB in 2020, and announcements that were made at Microsoft Ignite 2020
14:00 - Mark Brown discusses “auto pilot” - Cosmos DB’s new autoscale capability - solves the problem of not knowing how much throughput to provision for their database (e.g. spikes in traffic hitting an app or site). Auto pilot is available in preview. Customers can set maximum level of throughput for their container, and Azure will auto scale up and down as required. Mark notes that this is important not just for traffic spikes but also testing.
17:00 - Dave Judd talks about how ObjectSharp has written its own auto scale technology for its clients historically, and how this now will save time to be able to use Microsoft’s solution
18:00 - Mark Brown talks about Azure Synapse - Microsoft’s next generation data warehouse solution. The vision is to use Cosmos with Synapse to get operational data and do analytics out of the Synapse portal. Any time you ingest or write data into Cosmos, they will automatically ETL that and you can write queries using Spark to assess your analytics in Synapse. Don’t need to create your own pipelines anymore.
20:23 - Mark Brown talks about Notebooks support - which you can use to do analytics all within Cosmos
20:57 - Mark Brown talks about bulk operations support in v 3.0 of the SDK. Before you used to have to use a different library, but now it’s built into the SDK.
21:30 - Mark Brown talks about the Cosmos DB’s team work on private endpoints and their relevance for data protection and security of your data in the Azure Cloud, preventing data exfiltration by ensuring everything is on private IPs.
23:00 - Jeff and Mark Brown talk about customer success stories involving Cosmos DB, real world examples. Mark notes that Cosmos is very effective in microservice architectures because of its change feed. You can subscribe to the change feed using Azure Functions and the Cosmos bindings. Makes it super easy to set up a pub/sub, asynchronous, event-driven architecture, which is important for use cases in IoT and retail.
26:40 - Jeff talks about the relevance of Cosmos DB not just for big companies but also smaller companies that want to use modern cloud native architecture to succeed
27:00 - Dave Judd talks about ObjectSharp’s use of Cosmos DB and its change feed for client projects.
28:00 - Dave Judd talks about his work on a project for a global mining company, and how he’s using Cosmos DB to give the company real-time visibility into data coming from many disparate sources (e.g. IoT, etc.) so that it can better plan and make decisions. Cosmos DB plays an important role because of its global replication capabilities, which allow the data to be replicated and delivered quickly to end-users at multiple locations around the world, with low latency.

Links

21 tập

#Tech #Business #ObjectSharp #Technology #Web #Cloud IT #Serverless #Software #Development #Azure #Kubernetes

Cloud Native Data Strategy with Cosmos DB

The ObjectSharp Podcast

published cách đây 5 năm trước

Chia sẻ

MP3•Trang chủ episode

Minutes

0:15 - Intro to the show
1:13 - Dave Judd introduces himself to the show and his work as Application Development Practice Lead
1:45 - Mark Brown introduces himself to the show and his work at Microsoft as Principal Program Manager for Cosmos DB
3:07 - Jeff kicks off discussion on the background of what is Cosmos DB: what it is, why it’s important
3:50 - Mark Brown describes Cosmos DB - a NoSQL data store built on and for Azure - and what sets it apart: it’s a NoSQL database with all of the benefits that come with that (schema agnostic, multi-model - supports a number of APIs); horizontally partitioned (scale out vs scale up); fully managed (provision an account in the portal or using a script or ARM template, set throughput, and you’re up and running). Main use cases are high availability and global distribution; Azure can replicate your data globally, allowing seamless failover to other regions if needed; Azure also provides an SLA on latency, with a guarantee of less than 10 ms. It’s the only data service in Azure with 5 9s of availability. A great solution for customers that need low latency and / or high resiliency.
7:15 - Dave Judd talks about why Cosmos DB has become such a preference for the work he’s been doing at ObjectSharp for its clients, namely: ease of use, incredibly low latency and performance, and global replication allows for better performance for users everywhere - bringing the data closer to the end-user for faster round-tripping
09:20 - Dave Judd talks about using the Cosmos DB Change Feed to allow streaming of data into other places for reporting and analytics
09:50 - Mark Brown talks about customers using Cosmos DB as a cache
10:00 - Jeff discusses the practical significance of Cosmos DB - how it solves real business problems and architectures and is simple to adopt, and not just tech for tech’s sake
11:07 - Dave Judd comments on the barrier to entry being small, unless you’re not used to working with NoSQL, but notes that the multiple APIs available make the barriers to entry even smaller, depending on your background
12:48 - Mark Brown talks about the Mongo DB support on Cosmos and efforts to make the Mongo experience on Cosmos DB even better
13:25 - Nick asks Mark Brown to talk about what’s new and exciting for Cosmos DB in 2020, and announcements that were made at Microsoft Ignite 2020
14:00 - Mark Brown discusses “auto pilot” - Cosmos DB’s new autoscale capability - solves the problem of not knowing how much throughput to provision for their database (e.g. spikes in traffic hitting an app or site). Auto pilot is available in preview. Customers can set maximum level of throughput for their container, and Azure will auto scale up and down as required. Mark notes that this is important not just for traffic spikes but also testing.
17:00 - Dave Judd talks about how ObjectSharp has written its own auto scale technology for its clients historically, and how this now will save time to be able to use Microsoft’s solution
18:00 - Mark Brown talks about Azure Synapse - Microsoft’s next generation data warehouse solution. The vision is to use Cosmos with Synapse to get operational data and do analytics out of the Synapse portal. Any time you ingest or write data into Cosmos, they will automatically ETL that and you can write queries using Spark to assess your analytics in Synapse. Don’t need to create your own pipelines anymore.
20:23 - Mark Brown talks about Notebooks support - which you can use to do analytics all within Cosmos
20:57 - Mark Brown talks about bulk operations support in v 3.0 of the SDK. Before you used to have to use a different library, but now it’s built into the SDK.
21:30 - Mark Brown talks about the Cosmos DB’s team work on private endpoints and their relevance for data protection and security of your data in the Azure Cloud, preventing data exfiltration by ensuring everything is on private IPs.
23:00 - Jeff and Mark Brown talk about customer success stories involving Cosmos DB, real world examples. Mark notes that Cosmos is very effective in microservice architectures because of its change feed. You can subscribe to the change feed using Azure Functions and the Cosmos bindings. Makes it super easy to set up a pub/sub, asynchronous, event-driven architecture, which is important for use cases in IoT and retail.
26:40 - Jeff talks about the relevance of Cosmos DB not just for big companies but also smaller companies that want to use modern cloud native architecture to succeed
27:00 - Dave Judd talks about ObjectSharp’s use of Cosmos DB and its change feed for client projects.
28:00 - Dave Judd talks about his work on a project for a global mining company, and how he’s using Cosmos DB to give the company real-time visibility into data coming from many disparate sources (e.g. IoT, etc.) so that it can better plan and make decisions. Cosmos DB plays an important role because of its global replication capabilities, which allow the data to be replicated and delivered quickly to end-users at multiple locations around the world, with low latency.

Links

21 tập

#Tech #Business #ObjectSharp #Technology #Web #Cloud IT #Serverless #Software #Development #Azure #Kubernetes

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cách đây 5 years trước39:35

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This month we talk with ObjectSharp UX Practice Lead Al Sajoo about user experience and design-driven digital transformation. We talk with Al about the core principles of UX, where it fits into the Agile software development lifecycle, how good UX unlocks value and opportunities for businesses they may not have previously considered, and some of the tools and processes software and product teams should be considering today to improve their UX and design-led transformation. Minutes 0:15 - Intro to the show 1:00 - Nick and Jeff welcome ObjectSharp UX Practice Lead Al Sajoo to the show 1:40 - Jeff provides a background on ObjectSharp and how UX fits into ObjectSharp’s end-to-end digital transformation services 3:30 - Al Sajoo introduces himself. He talks about his background as a developer, his movement into design, and his passion for helping humans succeed with software 05:15 - Al and Nick dive a bit deeper on Al’s background as a developer and how his knowledge of engineering and the challenges engineers face helps inform his UX practice 07:00 - Jeff and Al talk about UX generally and where it’s relevant throughout the software development lifecycle. Al talks about design discoveries: not about gathering requirements, but rather gathering expectations - understanding the expectations of the user. It’s not about designing and going away; there’s an “Agile” component to it. Good UX designs occur throughout the product / software development lifecycle, in sprints, keeping ahead of developers by 1-2 sprints. With design sprints, the biggest benefit of this design-first approach is that companies are less likely to burn engineering resources on features or products that end users don’t care about or don’t help them succeed. 12:00 - Al talks about the problem solving element to UX: the solving of actual business problems, and the toolkit and processes he uses to solve those problems 13:35 - Al talks about the importance of listening over opinions 15:00 - Al talks about how newer tooling like Adobe XD assists with improving both his design and prototyping velocity as well as the velocity of the product / engineering teams he works with 18:00 - Jeff talks about the business benefit of getting feedback from users up front on prototypes well before committing engineering resources to building things that may not add value 19:00 - Al talks about how prototyping on his most recent project also helped surface challenges and opportunities that weren’t visible prior to prototyping 21:00 - Al talks about design systems and the importance of not relying on just bootstrap and material: can provide a base framework, but not a silver bullet and need to be thinking about whether what’s in the framework actually solves the user’s problems 22:30 - Al talks about the importance of accessibility in his work, and the importance of ensuring that applications and user interfaces are built for enabling everyone, particularly since the arrival of the Accessibility for Ontarians with Disabilities Act (AODA) in Ontario 25:00 - Nick talks about the complexity for UI developers brought about by accessibility requirements, and how having a UX expert like Al on his team really helps address those issues ahead of time and ensures accessibility isn’t just an afterthought 27:00 - Al discusses some of his recent projects and what’s exciting him lately, particularly redesigning complex internal enterprise business processes and mobile app design 29:30 - Jeff asks Al about his top recommendations for people considering digital transformation or a new software / product project 30:00 - Al talks about the importance of hiring actual UX designers to do UX, as a dedicated resource to work on design / experience issues 34:00 - Al talks about the difference between “pixel perfect” designs vs “experience perfect” interactions, and how a good UX resource should be able to provide both 37:00 - Al talks about the balancing act of designing products for multiple age demographics 38:00 - If you’re looking for assistance with UX design, whether for a greenfield application or as part of an existing digital transformation, Nick tells you how to get in touch with ObjectSharp: online at https://objectsharp.com , on LinkedIn at https://www.linkedin.com/company/objectsharp-consulting/ and on Twitter at https://twitter.com/ObjectSharp Links ObjectSharp ObjectSharp’s seminar on UX Design for Managers and Team Leads: How to Delight your Users Al Sajoo (LinkedIn) Jeff Zado (LinkedIn) Adobe XD Accessibility for Ontarians with Disabilities Act (AODA)…

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Cloud Native Data Strategy with Cosmos DB 37:01

cách đây 5 years trước37:01

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This month we’re talking about cloud native data strategy, the unique features of Azure Cosmos DB, and what's new and exciting with Microsoft's cloud native NoSQL database offering in 2020. We're joined by special guests Dave Judd, Application Development Practice Lead at ObjectSharp, and Mark Brown, Principal Program Manager at Microsoft for Cosmos DB. Minutes 0:15 - Intro to the show 1:13 - Dave Judd introduces himself to the show and his work as Application Development Practice Lead 1:45 - Mark Brown introduces himself to the show and his work at Microsoft as Principal Program Manager for Cosmos DB 3:07 - Jeff kicks off discussion on the background of what is Cosmos DB: what it is, why it’s important 3:50 - Mark Brown describes Cosmos DB - a NoSQL data store built on and for Azure - and what sets it apart: it’s a NoSQL database with all of the benefits that come with that (schema agnostic, multi-model - supports a number of APIs); horizontally partitioned (scale out vs scale up); fully managed (provision an account in the portal or using a script or ARM template, set throughput, and you’re up and running). Main use cases are high availability and global distribution; Azure can replicate your data globally, allowing seamless failover to other regions if needed; Azure also provides an SLA on latency, with a guarantee of less than 10 ms. It’s the only data service in Azure with 5 9s of availability. A great solution for customers that need low latency and / or high resiliency. 7:15 - Dave Judd talks about why Cosmos DB has become such a preference for the work he’s been doing at ObjectSharp for its clients, namely: ease of use, incredibly low latency and performance, and global replication allows for better performance for users everywhere - bringing the data closer to the end-user for faster round-tripping 09:20 - Dave Judd talks about using the Cosmos DB Change Feed to allow streaming of data into other places for reporting and analytics 09:50 - Mark Brown talks about customers using Cosmos DB as a cache 10:00 - Jeff discusses the practical significance of Cosmos DB - how it solves real business problems and architectures and is simple to adopt, and not just tech for tech’s sake 11:07 - Dave Judd comments on the barrier to entry being small, unless you’re not used to working with NoSQL, but notes that the multiple APIs available make the barriers to entry even smaller, depending on your background 12:48 - Mark Brown talks about the Mongo DB support on Cosmos and efforts to make the Mongo experience on Cosmos DB even better 13:25 - Nick asks Mark Brown to talk about what’s new and exciting for Cosmos DB in 2020, and announcements that were made at Microsoft Ignite 2020 14:00 - Mark Brown discusses “auto pilot” - Cosmos DB’s new autoscale capability - solves the problem of not knowing how much throughput to provision for their database ( e.g. spikes in traffic hitting an app or site). Auto pilot is available in preview. Customers can set maximum level of throughput for their container, and Azure will auto scale up and down as required. Mark notes that this is important not just for traffic spikes but also testing. 17:00 - Dave Judd talks about how ObjectSharp has written its own auto scale technology for its clients historically, and how this now will save time to be able to use Microsoft’s solution 18:00 - Mark Brown talks about Azure Synapse - Microsoft’s next generation data warehouse solution. The vision is to use Cosmos with Synapse to get operational data and do analytics out of the Synapse portal. Any time you ingest or write data into Cosmos, they will automatically ETL that and you can write queries using Spark to assess your analytics in Synapse. Don’t need to create your own pipelines anymore. 20:23 - Mark Brown talks about Notebooks support - which you can use to do analytics all within Cosmos 20:57 - Mark Brown talks about bulk operations support in v 3.0 of the SDK. Before you used to have to use a different library, but now it’s built into the SDK. 21:30 - Mark Brown talks about the Cosmos DB’s team work on private endpoints and their relevance for data protection and security of your data in the Azure Cloud, preventing data exfiltration by ensuring everything is on private IPs. 23:00 - Jeff and Mark Brown talk about customer success stories involving Cosmos DB, real world examples. Mark notes that Cosmos is very effective in microservice architectures because of its change feed. You can subscribe to the change feed using Azure Functions and the Cosmos bindings. Makes it super easy to set up a pub/sub, asynchronous, event-driven architecture, which is important for use cases in IoT and retail. 26:40 - Jeff talks about the relevance of Cosmos DB not just for big companies but also smaller companies that want to use modern cloud native architecture to succeed 27:00 - Dave Judd talks about ObjectSharp’s use of Cosmos DB and its change feed for client projects. 28:00 - Dave Judd talks about his work on a project for a global mining company, and how he’s using Cosmos DB to give the company real-time visibility into data coming from many disparate sources ( e.g. IoT, etc.) so that it can better plan and make decisions. Cosmos DB plays an important role because of its global replication capabilities, which allow the data to be replicated and delivered quickly to end-users at multiple locations around the world, with low latency. Links ObjectSharp ObjectSharp’s seminar on building modern Serverless applications Cosmos DB Mark Brown (@markjbrown) Dave Judd (LinkedIn) Jeff Zado (LinkedIn) What’s the latest in Azure Cosmos DB (YouTube, from Microsoft Ignite)…

1
The Holiday Episode: Looking Back at 2019 and Ahead to 2020 in Cloud-First Software Development 47:59

cách đây 5 years trước47:59

47:59

Happy holidays! This month, Jeff and Nick sit down with Dave Judd, ObjectSharp's App Dev Practice Lead, and Shane Castle, ObjectSharp's Cloud Practice Lead. They discuss the year that was in cloud-first application development in 2019 ,and look ahead to 2020 for predictions on where cloud-first software development will be going and what it means for businesses looking to grow and scale with software in the New Year. Minutes 0:30 - Introduction to the show - looking at the year that was and the year ahead in tech and cloud-first software development 01:54 - Dave Judd introduces himself 02:09 - Shane Castle introduces himself 03:10 - Nick provides a quick description of ObjectSharp and the podcast 04:10 - Nick and Jeff kick things off, talking about Microsoft Cosmos DB and asking Dave and Shane what their views are on Cosmos DB and how they have changed over the course of the year 05:18 - Dave Judd talks about how 4-5 of the projects he worked on this year used Cosmos DB, which killed a lot of ORM code and helped his teams move faster. Dave notes that a lot of enterprise customers are familiar and used to SQL, but increasingly teams are starting to use a hybrid model - using Cosmos DB to do fast, real-time data replication in multiple regions but then using Azure Data Factory to move data into SQL for BI and reporting. Using the tech is great, and the new SDK is also awesome. 07:20 - Dave Judd talks about pricing with Cosmos DB. Recent changes have made the technology much more affordable with shared pricing and scale. He notes that one of ObjectSharp’s clients that use Cosmos DB heavily have only a bill of $40 / month. Implemented correctly, it can be very cost-competitive. Dave Judd discusses a couple of strategies companies can use to reduce their Cosmos DB costs. 10:10 - Shane Castle talks about cloud security and comments on Cosmos DB: when people understand they can go to an active-active architecture, they also understand they can remove costs associated with older disaster recovery (DR) strategies and remove downtime. Shane thinks Cosmos DB will become even more popular in 2020. 11:10 - Shane Castle dives deeper on the issue of cybersecurity in the cloud, a big theme from 2019. He talks about the importance of encryption and access control, as well as the ongoing monitoring of those. Shane talks about Azure Security Center. 11:55 - Dave talks about how security and privacy by design - privacy-first development - is now becoming standard practice not only for software developers like ObjectSharp but also its clients. Customers are increasingly demanding architectures that are well designed in terms of privacy and security from the outset, not simply as an afterthought. 12:30 - Dave talks about a unique project ObjectSharp took on this year which involved encryption of data on-prem before the data was stored in the cloud and then re-encrypted, with a unique key management solution. 13:30 - Jeff asks Dave and Shane to talk about containerization with Docker and Kubernetes - what’s the story for 2019? 14:00 - Shane talks about the rise of Kubernetes (k8s) and the decline of Docker the company but the rise of Docker the format 14:40 - Shane and Nick talk about the work of ObjectSharp Consultant Gui Martins, whose work for Finastra led to ObjectSharp winning a Microsoft Impact Award for Application Innovation in FinTech 17:40 - Jeff notes that a number of companies are choosing not to lift and shift but rather to move quickly to PaaS services and asks Dave and Shane to comment 18:20 - Shane notes that once the guardrails of security are in place, kubernetes gives you a much greater advantage - there’s no waste, no idle infrastructure. Simply lifting and shifting doesn’t make your app a “cloud” app. You can leave what you have, and build your new stuff in the cloud, and gain the cost advantages of cloud services that are based on a consumption model. If your new feature is not popular, you won’t pay for it. 21:00 - Dave talks about a PoC ObjectSharp did for a government agency that first involved a lift and shift. It didn’t fundamentally alter the nature - and slow performance - of the application. But when the team started taking advantage of cloud-native technologies and tooling - and scaling out horizontally - they could measure the cost in nickels vs. hundreds of thousands of dollars in capital expenditures. Part of this was due to the fact that the cloud-based solution also reduced compute time from several hours to mere minutes. So not only was it totally faster than the existing application, it ended up being insanely cheaper too. 23:50 - Shane talks about Microsoft API Management - a very popular topic and technology in 2019 - digitizing the business, leveraging the data that businesses have for stakeholders internally and externally 25:40 - Dave talks about the importance of security and throttling control, and how Azure API Management helps make that a much simpler process 26:40 - Nick derails the entire episode into a diversion about KFC’s recipe as a GET endpoint 28:05 - The team moves from looking at 2019 to trends in 2020 - big themes and predictions 28:55 - Shane talks about Azure Arc: a single tool / cloud management system from which you can deploy resources to multiple environments / cloud providers (AWS, Google, IBM, and even on-prem) - you can use ARM templates to provision to all of those environments. Amazon SSO now integrates with Azure AD, so you can domain join resources into Azure. 30:30 - Nick asks what kinds of businesses should be thinking about Azure Arc. 32:30 - Jeff talks about the issues customers still have with managing multiple clouds 33:50 - Shane talks about Blazor and .NET 5. 34:24 - Dave talks about the evolution of .NET Core to .NET 5. 36:00 - Dave talks about Blazor and explains what it is: effectively .NET running in the browser, compiled and running in Web Assembly (WASM). This means C# developers can ship their code to the browser and run it there. And Blazor has brought back a better component model to .NET that has been missing for a long time. 37:40 - Dave notes that they will not be porting Web Forms to .NET Core: teams will have to replace their Web Forms applications with Blazor applications. Dave thinks this will be big in 2020. 38:00 - Jeff asks the team to comment on the business value of Blazor. When is it an advantage from a business perspective? 38:20 - Dave answers Jeff’s question with a real world example of some advanced work that ObjectSharp is doing now for one of its clients that needs complex calculations done extremely fast and in an environment where network speeds are slow and unstable. Writing the advanced computation and algorithms in Blazor and shipping that to the browser avoids the front-end React application having to make round trip network calls to the server, making the application lightning fast. Further, by moving compute to the browser, it saves cloud compute costs as well. 40:00 - Shane talks about Angular and React, but now with Web Assembly, C# developers can do more work in the browser. Shane thinks this will change the stacks that teams are using and have a big impact on JavaScript. 43:00 - Dave talks about the importance / relevance of Blazor for teams that haven’t even moved to JavaScript are still on web forms 44:00 - Nick talks about Figma and their use of WASM and their own Web GL based rendering engine to create highly performant experiences for UX designers in the browser 45:50 - Dave and Shane suggest that in 2020 we’ll start seeing new UI frameworks emerge that transcend the DOM 47:00 - Outro Links IMPACT: ObjectSharp Wins 2019 Microsoft IMPACT Award for Application Innovation in FinTech The first ObjectSharp podcast on Cosmos DB ObjectSharp's Podcast with Gui Martins on Docker and Kubernetes DevSecOps and Security-Driven Development with Azure Security Center Everything you wanted to know about Azure API Management in 20 minutes Azure Arc Blazor: Build Client Web Apps with C#…

1
Leveraging and Productizing your Data with Azure API Management 26:41

cách đây 5 years trước26:41

26:41

This month we’re talking with Shane Castle, ObjectSharp's Cloud Practice Lead, all about Azure API Management, a scalable, multi-cloud API management platform for securing, publishing, and analyzing APIs. Listen and learn how companies are transforming their businesses by leveraging API Management to publish APIs to external, partner, and employee developers securely and at scale. Minutes 1:10 - Intro to the show - this episode on Azure API Management 1:55 - Shane introduces himself to listeners 2:50 - Nick provides a background on ObjectSharp and 4:00 - Jeff and Shane talk about what API Management is and why people should care 4:21 - API Management is all about exposing core business functions as a set of APIs to allow for automation of processes, either externally or internally within your business / organization 5:00 - Shane compares API Management with previous point-to-point integrations that historically were more brittle than what’s possible with API Management today 5:46 - Jeff asks Shane about how API Management is used to manage service levels 6:25 - Shane talks about ObjectSharp’s experience in FinTech - the kinds of APIs that financial services companies want to build - and how they can be managed, monitored and versioned with Azure API Management 7:40 - Jeff and Shane talk about whether this is just for new development or also for exposing APIs for legacy systems, with examples 9:40 - Nick asks Shane to delve deeper into the functionality that is made available via API Management, starting with monitoring 9:55 - Shane talks about Azure Monitor, Application Insights, etc. and the monitoring story that is available with API Management - including the ability to throttle API “products” with performance levels - if there’s an error, you can quickly diagnose it 11:25 - Nick and Shane talk about how companies might use API Management to “productize” certain aspects of their business, and control the performance via throttling, etc. 12:39 - Shane make analogy to brick and mortar economy - need to make sure the API is up and giving a good user experience - provides examples of online booking, exposing list of services to partner companies, etc. - makes it an exciting time to accelerate business with API Management 14:00 - Nick and Shane talk about the developer story in addition to the business story of API Management - API Management exposes Open API / Swagger 2 definition - exposes pages with complete documentation on how to use and consume your API, and also provides a mock API framework for developers for testing, etc. 17:00 - Nick asks Shane to talk about the kind of work he’s doing these days in the real world with companies in this space with API Management 17:25 - Shane talks about how he works with clients first on the overall business strategy of API development: who’s the audience, who are the consumers; on security and governance, because it’s critically important that be done right from the outset; and then the actual dev work in terms of application development and devops 19:25 - Shane talks about common patterns: (1) synchronous APIs - for transactions that have to happen immediately; (2) asynchronous transactions; and (3) batch API processes, where we’re moving large amounts of data through these APIs. ObjectSharp helps map business to these patterns and then implementing technically the APIs themselves. 20:43 - Reality check - Jeff talks to Shane about hurdles that might occur in practice when getting started with API Management. Shane talks about both business and technical challenges, including change management required to be ready for a potential large transaction level made possible with APIs, and technically being able to monitor and respond to APIs once they are live. 22:50 - Shane talks about the cloud adoption strategy which goes hand in hand with an API strategy - you need to think cohesively about these so that there’s no infrastructure waste or idle infrastructure - API management is an important part of your digital transformation strategy that shouldn’t be thought of in isolation…

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Transforming Data, and Businesses, with Azure Data Factory 25:57

cách đây 6 years trước25:57

25:57

In this episode, we chat with Kristie LaPlante, Senior Cloud Consultant with ObjectSharp, and Shane Castle, ObjectSharp's Cloud Practice Lead, all about Azure Data Factory and how teams can leverage its power to transform and relocate data at scale, and what benefits this provides teams whether they are working on big data warehouses or data lakes, or simply looking to move formerly on-prem data into the cloud in a fast and efficient way. Minutes 0:00 - Introduction to today's show with Kristie LaPlante and Shane Castle 2:15 - Kristie LaPlante, Senior Consultant ObjectSharp's resident Data Factory expert, introduces herself 3:09 - Shane Castle, Cloud Practice Lead at ObjectSharp, introduces himself 4:09 - Kristie explains what Azure Data Factory is, what it does, what it can be used for 5:40 - Kristie and Jeff talk about how Azure Data Factory interfaces with traditional on-premise solutions 6:17 - Kristie talks about SSIS (SQL Integration Services), and how investments in SSIS can be leveraged with newer solutions and technologies available in Azure Data Factory 8:15 - Kristie and Jeff discuss why Azure Data Factory is becoming so popular today, even for companies who aren't doing big data 10:30 - Shane talks about the importance of Azure Data Factory being PaaS; don't have to focus on the management of things like SSIS as you did historically, and the pricing is based on active data flows, allowing you to better manage cost by only paying for when things are being done 12:14 - Kristie and Shane discuss the monitoring capabilities and built-in logging in Azure Data Factory 13:40 - Shane talks about pipeline runs, and the set of telemetry that comes with Azure Data Factory in Azure Monitor, and the in-built dashboards that make it very easy to see what's going in with your data 15:40 - Kristie discusses examples of how she and the teams she works with are using Azure Data Factory in the real world, such as transformations into and out of big data lakes, and moving data from Oracle on-prem to Azure SQL storage 20:25 - Reality check: Kristie talks about the challenges she's seen with teams who are starting their journey with Azure Data Factory, including their use of Azure Data Bricks 23:20 - Shane talks about his practical tips for teams using Azure Data Factory, including when to use it as the right tool for the problem you are trying to solve vs other tools, matching the right Azure services to the requirements of your project 24:50 - Conclusion and outro…

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