Api Management Quotes

There is all the more reason for startups to write Web-based software now, because writing desktop software has become a lot less fun. If you want to write desktop software now you do it on Microsoft's terms, calling their APIs and working around their buggy OS. And if you manage to write something that takes off, you may find that you were merely doing market research for Microsoft.

2006 interview by Jim Gray, Amazon CTO Werner Vogels recalled another watershed moment: We went through a period of serious introspection and concluded that a service-oriented architecture would give us the level of isolation that would allow us to build many software components rapidly and independently. By the way, this was way before service-oriented was a buzzword. For us service orientation means encapsulating the data with the business logic that operates on the data, with the only access through a published service interface. No direct database access is allowed from outside the service, and there’s no data sharing among the services.3 That’s a lot to unpack for non–software engineers, but the basic idea is this: If multiple teams have direct access to a shared block of software code or some part of a database, they slow each other down. Whether they’re allowed to change the way the code works, change how the data are organized, or merely build something that uses the shared code or data, everybody is at risk if anybody makes a change. Managing that risk requires a lot of time spent in coordination. The solution is to encapsulate, that is, assign ownership of a given block of code or part of a database to one team. Anyone else who wants something from that walled-off area must make a well-documented service request via an API.

Professional Bio of Shahin Shardi, P.Eng. Materials Engineer Welding and Pressure Equipment Inspector, QA/QC Specialist Shahin Shardi is a Materials Engineer with experience in integrity management, inspection of pressure equipment, quality control/assurance of large scale oil and gas projects and welding inspection. He stared his career in trades which helped him understand fundamentals of operation of a construction site and execution of large scale projects. This invaluable experience provided him with boots on the ground perspective of requirements of running a successful project and job site. After obtaining an engineering degree from university of British Columbia, he started a career in asset integrity management for oil and gas facilities and inspection of pressure equipment in Alberta, Canada. He has been involved with numerus maintenance shutdowns at various facilities providing engineering support to the maintenance, operations and project personnel regarding selection, repair, maintenance, troubleshooting and long term reliability of equipment. In addition he has extensive experience in area of quality control and assurance of new construction activities in oil and gas industry. He has performed Owner’s Inspector and welding inspector roles in this area. Shahin has extensively applied industry codes of constructions such as ASME Pressure Vessel Code (ASME VIII), Welding (ASME IX), Process Piping (ASME B31.3), Pipe Flanges (ASME B16.5) and various pressure equipment codes and standards. Familiarity with NDT techniques like magnetic particle, liquid penetrant, eddy current, ultrasonic and digital radiography is another valuable knowledge base gained during various projects. Some of his industry certificates are CWB Level 2 Certified Welding Inspector, API 510 Pressure Vessel Inspector, Alberta ABSA In-Service Pressure Vessel Inspector and Saskatchewan TSASK Pressure Equipment Inspector. Shahin is a professional member of Association of Professional Engineers and Geoscientists of Alberta.

Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale.

You can use user data scripts and cloud-init directives or AWS OpsWorks lifecycle events to automatically set up new EC2 instances.[6] You can use simple scripts, configuration management tools like Chef or Puppet. AWS OpsWorks natively supports Chef recipes or Bash/PowerShell scripts. In addition, through custom scripts and the AWS APIs, or through the use of AWS CloudFormation support for AWS Lambda-backed custom resources

Having studied both the possible risks and the likely rewards, the Guardian’s managers decided both to “open in” the website, by bringing in more data and applications from the outside, and to “open out” the site, by enabling partners to create products using Guardian content and services on other digital platforms. To work toward the “open out” goal, the Guardian created a set of APIs that made its content easily available to external parties. These interfaces include three different levels of access. The lowest access tier, which the paper calls Keyless, allows anyone to use Guardian headlines, metadata, and information architecture (that is, the software and design elements that structure Guardian data and make it easier to access, analyze, and use) without requesting permission and without any requirement to share revenues that might be generated. The second access tier, Approved, allows registered developers to reprint entire Guardian articles, with certain time and usage restrictions. Advertising revenues are shared between the newspaper and the developers. The third and highest access tier, Bespoke, is a customized support package that provides unlimited use of Guardian content—for a fee.

Management becomes more complex, too, because the staff has to reach across the organization at a level and consistency you never had to before: different departments, groups, and business units. For example, analytics and business intelligence teams never had to have the sheer levels of interaction with IT or engineering. The IT organization never had to explain the data format to the operations team. From both the technical and the management perspectives, teams didn’t have to work together before with as high of a bandwidth connection. There may have been some level of coordination before, but not this high. Other organizations face the complexity of data as a product instead of software or APIs as the product. They’ve never had to promote or evangelize the data available in the organization. With data pipelines, the data teams may not even know or control who has access to the data products. Some teams are very siloed. With small data, they’ve been able to get by. There wasn’t ever the need to reach out, coordinate, or cooperate. Trying to work with these maverick teams can be a challenge unto itself. This is really where management is more complicated.

management as follows. A two-pizza team will: Be small. No more than ten people. Be autonomous. They should have no need to coordinate with other teams to get their work done. With the new service-based software architecture in place, any team could simply refer to the published application programming interfaces (APIs) for other teams. (More on this new software architecture to follow.) Be evaluated by a well-defined “fitness function.” This is the sum of a weighted series of metrics.

If multiple teams have direct access to a shared block of software code or some part of a database, they slow each other down. Whether they’re allowed to change the way the code works, change how the data are organized, or merely build something that uses the shared code or data, everybody is at risk if anybody makes a change. Managing that risk requires a lot of time spent in coordination. The solution is to encapsulate, that is, assign ownership of a given block of code or part of a database to one team. Anyone else who wants something from that walled-off area must make a well-documented service request via an API.

Squidex empowers businesses with a versatile content management and API platform, making the creation and delivery of digital experiences seamless and efficient.

He laid out the defining characteristics, workflow, and management as follows. A two-pizza team will: Be small. No more than ten people. Be autonomous. They should have no need to coordinate with other teams to get their work done. With the new service-based software architecture in place, any team could simply refer to the published application programming interfaces (APIs) for other teams. (More on this new software architecture to follow.) Be evaluated by a well-defined “fitness function.” This is the sum of a weighted series of metrics. Example: a team that is in charge of adding selection in a product category might be evaluated on: a)  how many new distinct items were added for the period (50 percent weighting) b)  how many units of those new distinct items were sold (30 percent weighting) c)  how many page views those distinct items received (20 percent weighting) Be monitored in real time. A team’s real-time score on its fitness function would be displayed on a dashboard next to all the other two-pizza teams’ scores. Be the business owner. The team will own and be responsible for all aspects of its area of focus, including design, technology, and business results. This paradigm shift eliminates the all-too-often heard excuses such as, “We built what the business folks asked us to, they just asked for the wrong product,” or “If the tech team had actually delivered what we asked for and did it on time, we would have hit our numbers.” Be led by a multidisciplined top-flight leader. The leader must have deep technical expertise, know how to hire world-class software engineers and product managers, and possess excellent business judgment. Be self-funding. The team’s work will pay for itself. Be approved in advance by the S-Team. The S-Team must approve the formation of every two-pizza team.

In a 2006 interview by Jim Gray, Amazon CTO Werner Vogels recalled another watershed moment: We went through a period of serious introspection and concluded that a service-oriented architecture would give us the level of isolation that would allow us to build many software components rapidly and independently. By the way, this was way before service-oriented was a buzzword. For us service orientation means encapsulating the data with the business logic that operates on the data, with the only access through a published service interface. No direct database access is allowed from outside the service, and there’s no data sharing among the services.3 That’s a lot to unpack for non–software engineers, but the basic idea is this: If multiple teams have direct access to a shared block of software code or some part of a database, they slow each other down. Whether they’re allowed to change the way the code works, change how the data are organized, or merely build something that uses the shared code or data, everybody is at risk if anybody makes a change. Managing that risk requires a lot of time spent in coordination. The solution is to encapsulate, that is, assign ownership of a given block of code or part of a database to one team. Anyone else who wants something from that walled-off area must make a well-documented service request via an API.

High Switching Costs Products that require a significant amount of work to migrate away are said to have high switching costs. High switching costs reduce your churn and create a moat that keeps customers from switching to a competitor simply because that competitor is newer, cheaper, or even builds a better product. Most APIs are difficult to leave because to do so requires expensive developer time to integrate with a new product. Companies like Stripe, Twilio, and SendGrid have a pretty hefty switching cost moat. Tools like Slack are difficult to switch from because of the need to obtain buy-in from every manager in an organization. Also, because of the high number of integrations pushing data, Slack requires effort to recreate. Tools with low switching costs are those in which history is mostly irrelevant, and the time it takes to recreate something you’ve built in the tool is low or nonexistent. For example, a social media scheduling tool is easy to switch from because there is no critical history stored or complex workflows that need to be recreated using a new tool. Likewise, one-click SaaS analytics tools that tie into your Stripe account are relatively easy to switch from because they are “one-click easy” to set up.

In 20487 Developing Windows Azure And Web Services course , understudies will figure out how to outline and create administrations that entrance nearby and remote information from different information sources and how to create and send administrations to half and half conditions, including on-premises servers and Windows Azure. 1: Overview of administration and cloud advances 2: Querying and Manipulating Data Using Entity Framework 3: Creating and Consuming ASP.NET Web API Services 4: Extending and Securing ASP.NET Web API Services 5: Creating WCF Services 6: Hosting Services 7: Windows Azure Service Bus 8: Deploying Services 9: Windows Azure Storage 10: Monitoring and Diagnostics 11: Identity Management and Access Control 12: Scaling Services 13: Appendix A: Designing and Extending WCF Services 14: Appendix B: Implementing Security in WCF Services

Secuil Api kehangatan, lebih baik dijaga tetap menyala. Daripada meredup, kemudian mati membeku selamanya.

When you come down to it, alignment is about helping people understand what you want them to do. Most contributors will be motivated to ladder up to the top-line OKRs—assuming they know where to set the ladder. As our team got larger and more layered, we confronted new issues. One product manager was working on Premium, the enhanced subscription version of our app. Another focused on our API platform, to enable third parties like Fitbit to connect to MyFitnessPal and write data to it or applications on top of it. The third addressed our core login experience. All three had individual OKRs for what they hoped to accomplish—so far, so good. The problem was our shared engineering team, which got caught in the middle. The engineers weren’t aligned with the product managers’ objectives. They had their own infrastructure OKRs, to keep the plumbing going and the lights on. We assumed they could do it all—a big mistake. They got confused about what they should be working on, which could change without notice. (Sometimes it boiled down to which product manager yelled loudest.) As the engineers switched between projects from week to week, their efficiency dragged.

Platform dependence can be disastrous if not managed well. If you integrate too closely with a preexisting network, allowing them to control your distribution, engagement, and business model, you become just a feature of their network. Had Airbnb been conceived as a tool to manage Craigslist listings and nothing else, it would have served at the leisure of its parent platform—grow too large, or make a wrong move, and it might be existential. Frequently the larger network will simply reach up and duplicate functionality if it gets too popular—a playbook that Microsoft executed in the 1990s with Office and Internet Explorer, among others. Or if the underlying network decides that it no longer wants to provide the same level of API access, as both Twitter and Facebook eventually did, any products dependent on this became worthless overnight. In the end, cherry picking is an enormously powerful move because it exposes the fundamental asymmetry between the David and Goliath dynamic of networks. A new product can decide where to compete, focus on a single point, and build an atomic network—whereas a larger one finds it tough to defend every inch of its product experience. It’s one of the reasons why, particularly in consumer markets, it’s been so hard for “winner take all” to really happen in a literal way. The largest networks can take a lot, in many networks, but they remain vulnerable to any new upstart that uses cherry picking as a core strategy.

Step by Step… Can you write out your ideal business step by step Here is a business I am setting up for a client. She wants to shipping start her own shipping company… One she will need a US partner to collect and transfer packages to her in Jamaica. She will also need one in China. I have two contacts. One has a warehouse in Florida The other has two in China. Chinese connect makes goods available within 3 weeks, she has to tell her customers four. The US connect makes it within 3-5 days. She has to tell them within a week… Next she will need a website where her customers can login and track their packages. This will come with individual dashboards. She will need an interface and warehouse management software and logistics APIs. She will also need an automated email set up (journey) to send emails to her customers without her or her agents needing to do that. Without this Saas she would have to hire someone to reply to messages and emails about , someone to call and track, use usps and FedEx tracking numbers to track and reply back to customers. She also needs a beta ApI to allow her warehouse guy to update the CRM with information about her customers packages… Key nodes such as - Intransit to destinations Held at customs Clearance In transit to store Pick up available etc… These will come in as email notifications Fully automated. Everything will be connected using Webhooks… entire system. Saas she might need to use a combination of GOhighlevel, Workiz and To run this as a System as as Service. Each platform can work together using webhooks. Gohighlevel as a Saas is $500 a month Workiz is $200 dollars She can use Odoo which is open source alternative as a CRM And Clickup as Management. This is how a conversational business plan looks. You can see it. You can research it. You can confirm that it’s plausible. It doesn’t sound like pipedreams. It sounds workable to credit companies /banks and investors. It sounds doable to a BDO Client. I also sound as if I know what I am doing. Not a lot of technical language. A confused prospective business investor or banker don’t want to use a dictionary to figure out everything… They want to see the vision as clear as day. You basically need to do to them what I did to you when you joined my programme. It must sound plausible. All businesses is a game of wit. Every deal that is signed benefits both party. Whether initially or in the long term. Those are the sub-tenets of business. Every board meeting or meeting with regulatory boards, banks, credit facilities, municipalities is a game of convincing people to see your thing through… Everyone does Algorithm is simple. People want you to solve their problems with speed and efficiency. Speed is very important and automation. Progress, business and production are tied to ego… that’s why people love seh oh dem start a business or dem have dem online business and nah sell one rass thing. Cause a lot of people think being successful and looking successful are one and the same thing until they meet someone like me or people who done the work… Don’t rush it… you are young and you have time. There are infact certain little nuances Weh yuh only ago learn through experience. Experience and reflection. One of the drawbacks of wanting to run your business by yourself with you and your family members is that you guys will have to be reliant on yourself for feedback which is not alw

Security, rate limiting (throttling), versioning, and monitoring are key aspects of a managed business API.

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Finally, for very large. organizations, and especially companies that operate in multiple locations and time zones, governance needs to move from distributing principles to collecting advice. This essentially reverses the typical central governance model. Instead of telling teams what to do, the primary role of the central governance comittee becomes to collect experience information from the field, find correlations, and echo back guidance that reflects "best practice" within the wider organization.

AWS and the Seven-Year Lead When creating Amazon Web Services (cloud computing), Amazon was essentially creating their own internal Internet Operating System (IOS) and then leveraging their technology infrastructure into a profit center. He said, “IT departments are recognizing that when they adopt AWS, they get more done. They spend less time on low value-add activities like managing datacenters, networking, operating system patches, capacity planning, database scaling, and so on and so on. Just as important, they get access to powerful APIs [Application Programing Interfaces] and tools that dramatically simplify building scalable, secure, robust, high-performance systems. And those APIs and tools are continuously and seamlessly upgraded behind the scenes, without customer effort.” —Bezos (2014 Letter) In other words, Amazon took the proprietary infrastructure they built for themselves and turned it into a service that any developer could use for their own purposes.

How do we make our systems reliable, in spite of unreliable humans? The best systems combine several approaches: Design systems in a way that minimizes opportunities for error. For example, well-designed abstractions, APIs, and admin interfaces make it easy to do “the right thing” and discourage “the wrong thing.” However, if the interfaces are too restrictive people will work around them, negating their benefit, so this is a tricky balance to get right. Decouple the places where people make the most mistakes from the places where they can cause failures. In particular, provide fully featured non-production sandbox environments where people can explore and experiment safely, using real data, without affecting real users. Test thoroughly at all levels, from unit tests to whole-system integration tests and manual tests [3]. Automated testing is widely used, well understood, and especially valuable for covering corner cases that rarely arise in normal operation. Allow quick and easy recovery from human errors, to minimize the impact in the case of a failure. For example, make it fast to roll back configuration changes, roll out new code gradually (so that any unexpected bugs affect only a small subset of users), and provide tools to recompute data (in case it turns out that the old computation was incorrect). Set up detailed and clear monitoring, such as performance metrics and error rates. In other engineering disciplines this is referred to as telemetry. (Once a rocket has left the ground, telemetry is essential for tracking what is happening, and for understanding failures [14].) Monitoring can show us early warning signals and allow us to check whether any assumptions or constraints are being violated. When a problem occurs, metrics can be invaluable in diagnosing the issue. Implement good management practices and training—a complex and important aspect, and beyond the scope of this book.