The Latest News On The API Economy
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Data Theorem, developer of application security systems, has announced two new solutions for API security analysis, API Inspect and API discover. Both tools aim to help customers gain a greater visibility into the status of their applications overall API security.
Developing a software product is an enormous challenge, but it’s also enormously rewarding. This article provides a guide to design thinking when developing your API. It will cover what an API is, what design thinking is and why it matters and some essential API design tools.
GraphQL, the open source technology originally backed by Facebook has continued to gain momentum since its release in 2015 and with its hype it’s easy to think that GraphQL is the way to go when developing your next API. As with any technology though, it has its strengths and weaknesses.
As enterprises embrace digital business models, they are evolving toward becoming data-driven organizations and harnessing analytics. This article explores the challenges of using traditional analytics approaches, how API management can address these challenges, and mine valuable data for analytics.
Microsoft took its next step in protecting user data by making two products available for public preview under the confidential computing project. The DC-series virtual machines and Open Enclave SDK have completed private betas and are ready for public preview. The goal is to protect data in use.
Throughout this last summer Apigee announced beta releases for three products: Apigee API Monitoring, Hosted Targets, and Extensions. The company has now moved all three into general availability, with API Monitoring rolling out in phases over the next several weeks.
Adobe has announced the integration of Magento Commerce Cloud with Adobe Experience Cloud and the company has released Magento version 2.3. The latest version of Magento includes new Bulk APIs, Asynchronous APIs, and a new GraphQL implementation.
What happens when you are ready to take your API from a small subset of users to something more open? What are the things you want to make sure are locked down tight before rolling out an open API program? James Higginbotham offered some tips for making sure your API is ready.
Earlier this week GitLab announced the release of security updates aimed at fixing various flaws found in previous iterations. One issue was an insecure direct object reference that exposed confidential issues within all public projects, via the Events API.
The newest SOAtest release aims to improve the test creation process by enabling users to leverage their organizations' existing test inventories and train SOAtest's artificial intelligence engine using machine learning, so it can create API test templates automatically.
MuleSoft has announced the Winter 2018 release of its Anypoint Platform for managing APIs and enterprise integrations. Similar to a social graph, the release offers a bird's-eye view of an organization's application network graph. The release also uses machine learning to ease data mapping tasks.
Google is testing its Cloud Inference API in an alpha release. The API allows developers to index and load datasets from multiple data sources from Google Cloud Storage, execute inference queries over loaded datasets, unload or cancel datasets, and get status updates for datasets sent to processing.
Developers can often miss an important aspect of API development - scaling the API. To scale the API, you must look into offloading the administrative functions of multiple APIs in their apps. Scaling of the API at the design phase is crucial to the success of API adoption in the long run.
Kong Inc., an API management platform, recently announced that its open source platform will support service mesh deployments. The new service mesh capabilities hope to enable Kong users to better manage increased East-West network traffic within their microservice-oriented architectures.
Arcentry, provider of cloud infrastructure diagrams, has opened up an API to its diagram building software. Now, cloud and open source diagrams are programmable from third party apps. Diagrams can be created, changed, and deleted in real-time through integrated apps.
Mobile provider T-Mobile has informed 2.3m of its subscribers that personal data associated with their accounts was exposed to an attacker as the result of an unprotected API. According to the company, the data exposed included name, billing zip code, phone number, email address and account number.
DNA testing provider 23andMe has informed developers that it will be shuttering its public API in two weeks to focus on apps that use its internal reports. The API was intended to give developers the ability to build apps and tools that took advantage of the company’s genetic data sets.
On August 16, Twitter shuttered two legacy APIs that it had announced would be removed earlier this years. Developers of a number of popular third-party Twitter clients warned that the shutdown of the User Streams and Site Streams APIs would negatively affect users of their apps.
Oracle today unveiled GraphPipe, an open-source standard that aims to simplify machine learning model serving. GraphPipe itself is a high-performance protocol for transmitting machine learning data between remote processes that Oracle developed to address machine learning model challenges.
Upon seeing the headline to this article, API experts will likely scratch their heads wondering why the journal of the API economy (ProgrammableWeb) would indirectly suggest that REST and Swagger are comparable to the point that an article about their differences is warranted.