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TIMEZERO

A full marine navigation software solution for recreational sailing and motor boat users or for professional navigation, choose the product that better suits your need.

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Recreational Software

TZ Navigator is a cutting edge navigation software, perfect fit for recreational sailing and motor boat users.

Discover TZ Navigator

TZ App

A real-time marine chart app for real sailors! TIMEZERO is the best marine navigation app for coastal sailing.

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Professional Software

The latest generation of marine navigation software and the one sole product suiting all the needs of professionals at sea.

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TZ Charts

More than 6,000 nautical charts from around the world, including Vector charts from C-MAP and Navionics data.

Discover our charts

TZ Coastal Monitoring

TZ Coastal Monitoring is the first true turnkey solution for Maritime Surveillance.

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The cutting edge software for recreational navigation

The latest generation of professional navigation software

The best provider for electronic nautical charts over the world

The next generation of Maritime surveillance systems

The best marine navigation app for coastal sailing

Access to your personal interface My TIMEZERO to enjoy all your online services including free weather forecast, TZ Community, TZ Store and TZ App.

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Plan your trips from your fingertips and save your fishing spots at a click. See your position on the chart, as well as weather data, COG, SOG and many other metrics with ease. If you haven’t already discovered the app, click below to start.

Learn more

Since its release in May 2016, the TZ Navigator v3 community has grown to 5 thousand strong.

We are proud to provide a recreational product that puts the safety of sailors first.

If you are eligible for an update or just want to find out more on the new features then click here:

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Discover the latest TZ Professional v3 features

Using Atomic Transactions to Power an Idempotent API was published on September 6, 2017 from San Francisco .

Using Atomic Transactions to Power an Idempotent API September 6, 2017 San Francisco

Find me on Twitter at nike free trainer 5 v6 uk news
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@brandur

Contents

The software industry as a whole contains a lot of people doing a lot of different things, but for every developer working on new embedded firmware, there’s about ten building the linchpin of modern software – CRUD apps that serve requests over HTTP. A lot of these apps are backed by MVC frameworks like Ruby on Rails or ASP.NET, and backed by ACID-compliant relational databases like Postgres or SQL Server.

Sharp edges in production can lead to all kinds of unexpected cases during the execution of an HTTP request – client disconnects, application bugs that fail a request midway through, and timeouts are all extraordinary conditions that will occur regularly given enough request volume. Databases can protect applications against integrity problems with their transactions, and it’s worth taking a little time to think about how to make best use of them.

There’s a surprising symmetry between an HTTP request and a database’s transaction. Just like the transaction, an HTTP request is a transactional unit of work – it’s got a clear beginning, end, and result. The client generally expects a request to execute atomically and will behave as if it will (although that of course varies based on implementation). Here we’ll look at an example service to see how HTTP requests and transactions apply nicely to one another.

I’m going to make the case that for a common idempotent HTTP request, requests should map to backend transactions at 1:1. For every request, all operations are committed or aborted as part of a single transaction within it.

At first glance requiring idempotency may sound like a sizeable caveat, but in many APIs operations can be made to be idempotent by massaging endpoint verbs and behavior, and moving non-idempotent operations like network calls to background jobs.

Some APIs can’t be made idempotent and those will need a little extra consideration. We’ll look at what to do about them in more detail later as a follow up to this article.

Let’s build a simple test service with a single “create user” endpoint. A client hits it with an email parameter, and the endpoint responds with status 201 Created to signal that the user’s been created. The endpoint is also idempotent so that if a client hits the endpoint again with the same parameter, it responds with status 200 OK to signal that everything is still fine.

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