#Apigee API Engineer
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Apigee APIM Operator for API Administration On Any Gateway

We now provide the Apigee APIM Operator, a lightweight Application Programming Interface Management and API Gateway tool for GKE environments. This release is a critical step towards making Apigee API management available on every gateway, anywhere.
The Kubernetes-based Apigee APIM Operator allows you build and manage API offerings. Cloud-native developers benefit from its command-line interface for Kubernetes tools like kubectl. APIM resources help the operator sync your Google Kubernetes Engine cluster with Apigee.
Advantages
For your business, the APIM Operator offers:
With the APIM Operator, API producers may manage and protect their APIs using Kubernetes resource definitions. Same tools and methods for managing other Kubernetes resources can be used for APIs.
Load balancer-level API regulation streamlines networking configuration and API security and access for the operator.
Kubernetes' role-based access control (RBAC) and Apigee custom resource definitions enable fine-grained access control for platform administrators, infrastructure administrators, and API developers.
Integration with Kubernetes: The operator integrates Helm charts and Custom Resource Definitions to make cloud-native development easy.
Reduced Context Switching: The APIM Operator lets developers administer APIs from Kubernetes, eliminating the need to switch tools.
Use APIM Operator when
API producers who want Kubernetes API management should utilise APIM Operator. It's especially useful for cloud-native Kubernetes developers who want to manage their APIs using the same tools and methods. Our APIM Operator lets Apigee clients add Cloud Native Computing Foundation (CNCF)-based API management features.
limitations
The APIM Operator's Public Preview has certain restrictions:
Support is limited to REST APIs. Public Preview doesn't support GraphQL or gRPC.
The Public Preview edition supports 25 regional or global GKE Gateway resources and API management policies.
A single environment can have 25 APIM extension policies. Add extra APIM extension policies by creating a new environment.
Gateway resources can have API management policies, but not HTTPRoutes.
Public Preview does not support region extension. A setup APIM Operator cannot be moved to different regions.
Meaning for you?
With Kubernetes-like YAML, you can configure API management for many cloud-native enterprises that use CNCF-standardized tooling without switching tools.
APIM integration with Kubernetes and CNCF toolchains reduces conceptual and operational complexity for platform managers and service developers on Google Cloud.
Policy Management: RBAC administrators can create APIM template rules to let groups use different policies based on their needs. Add Apigee rules to APIM templates to give users and administrators similar capabilities as Apigee Hybrid.
Key Features and Capabilities
The GA version lets users set up a GKE cluster and GKE Gateway to use an Apigee Hybrid instance for API management via a traffic extension (ext-proc callout). It supports factory-built Day-Zero settings with workload modification and maintains API lifespan with Kubernetes/CNCF toolchain YAML rules.
Meeting Customer Needs
This functionality addresses the growing requirement for developer-friendly API management solutions. Apigee was considered less agile owing to its complexity and the necessity to shift from Kubectl to other tools. In response to this feedback, Google Cloud created the APIM Operator, which simplifies and improves API management.
Looking Ahead
It is exploring gRPC and GraphQL support to support more API types, building on current GA version's robust foundation. As features and support are added, it will notify the community. Google Cloud is also considering changing Gateway resource and policy attachment limits.
The APIM Operator will improve developer experience and simplify API management for clients, they believe. It looks forward to seeing how creatively you use this functionality in your apps.
#APIMOperator#ApigeeAPIMOperator#APIGateway#APIAdministration#APIManagement#Apigee#CustomResourceDefinitions#technology#technews#news#technologynews#technologytrends
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Google Apigee-API-Engineer [2020] Questions - Success Secret
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Exam Code: Apigee-API-Engineer
Exam Name: Google Cloud - Apigee Certified API Engineer
Exam Version:
Exam Level:
Number of Questions: 126
Exam Duration:
Exam Language: English
Exam Format: MCQs

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Preparation Material for Apigee-API-Engineer: Google Cloud - Apigee Certified API Engineer
This certification objectively measures a person’s ability to demonstrate critical work skills for a role. To obtain this certificate, you must pass an Associate Cloud Engineer exam, with multiple choices.
Introduction & Skills:
An Apigee Professional API Engineer designs, builds, and maintains API proxies. The API Engineer responsibilities include cross-cutting business concerns like authentication, authorization, monitoring, logging, governance, and documentation. API Engineers also reflect API design features like consistency, usability, and versioning. Finally, the API Engineer measures and drives success of the API program and is responsible for the documentation, promotion, and evangelism of its products. This certification objectively measures a person’s ability to demonstrate critical work skills for a role. To obtain this certificate, you must pass an Associate Cloud Engineer exam, with multiple choices. The exam has no prerequisites. Apigee certification covers not only API management but also other APIGEE related functions and products, such as Apigee BaaS, API life cycle management, API documentation, security methods, Node.JS, etc.
Apigee Certification:
Apigee Certified API certification covers Data Modelling in which it elaborates that how to use consistent and intuitive naming across all APIs and modeling resources based on business concepts rather than internal terminology. It also describes the Designing APIs in which it demonstrates the API first approach, designing API resources and actions from customer point of view and helps candidates in understanding API versioning models and breaking changes. It determines appropriate level of orchestration of efficient API request flows and scoping access controls. Apigee Certified API engineer measures RESTful design and Driving API consumption in which it describes the designing RESTful URL paths, API paging design, knowing when to push REST or accept legacy designs and choosing between path, payload, headers and query parameters. In Driving API consumption, it helps candidates that how to document APIs and creating and using OPENAPI Specifications and building a community for API programs.
Apigee Certified API Engineer certification:
Apigee Certified API Engineer certification is intended for API designers and developers and is to considered to be fundamental. This certification allows candidates to spin up their free environment and develop their first set of APIs as the instructor walks through a specific real-world scenario. Apigee Certified API engineer gets enough knowledge of developing, implementing, and securing APIs that how methods of calling backend services, implementing proxy and target flows, fault handling and error conditions, API configuration using key-value maps and target servers and API logging with custom attributes of analytics. This certification also enables the candidates to learn about the API security and API testing and Performance analysis in which it describes the securing APIs via OAUTH, SAML, basic authentication and IP-based access control and protecting against traffic spikes and data masking. API testing an Performance Analysis focuses on understanding the performance characteristics of policies and tracing calls within Edge and analyze the target and proxy performance and implement API performance benchmarks.
Apigee Configuration:
Through Apigee Certified API Certification, it enables the engineers to automate build, deployment and configuration in Development Lifecycle and CI/CD and automating unit and integration tests and focuses on implementing static code analysis in organization and environment strategies for proxy SDLC. Apigee certified engineer also learns to manage API products and identifies API products based on business needs. This certification also focuses on configuring quotas and extending product functions using custom attributes. Apigee engineer drives success by challenging legacy assumptions, writing API user stories and writing consumption-based API test scenarios.
Conclusion:
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Recommendation:
This certification is recommended as an entry-level qualification to permit consultants to get aware with the basic of Apigee Success Factors Career Development Planning and Mentoring.
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Learning red hat enterprise linux

Know what can be done to recover a lost partition table.
Know what can be done to recover lost or deleted files.
Hands-on experience with troubleshooting tools.
Steps necessary to make sure problems can be easily found and resolved.
Learn and practice an approach to troubleshooting Linux systems.
This course is taught using both RHEL 5 and RHEL 6 so that the changes made by Red Hat in moving to RHEL 6 are understood. Each section contains a workshop where students solve problems in the area. Among other topics, the course covers the areas of booting, disk problems (LVM, RAID, ext family), handling kernel modules, client-side DHCP, NIS, and DNS, secure networking IPtable, and an overview of VPNs. After reviewing an area, the course presents typical problems and solutions for the area. The student completing this course will have the knowledge and techniques necessary to quickly find the cause or causes of the anomalous behavior and make informed decisions on how to lessen or fix the problem. Linux is an extremely stable OS yet, as with any complex system, it can have problems. Red Hat Enterprise Linux Troubleshooting (5 days)
Scripting Languages (Python, Perl, etc.).
Google Cloud Advanced Skills & Certification Workshop – Associate Cloud Engineer.
Google Cloud Advanced Skill & Certification Workshop – Professional Data Engineer.
Google Cloud Advanced Skill & Certification Workshop – Professional Cloud Architect.
Google Cloud Advanced Skills & Certification Workshops.
Google Cloud Fundamentals for AWS Professionals.
Google Cloud Big Data and Machine Learning Fundamentals.
Google Cloud Fundamentals: Core Infrastructure.
Installing and Managing Google Cloud’s Apigee API Platform in Private Cloud.
Managing Google Cloud’s Apigee API Platform for Hybrid Cloud.
Developing APIs with Google Cloud’s Apigee API Platform.
Apigee and Business Application Platform.
Customer Experiences with Contact Center AI – Dialogflow CX.
Customer Experiences with Contact Center AI – Dialogflow ES.
Machine Learning and Artificial Intelligence.
Google Cloud Advanced Skills & Certification Workshop – Security Engineer.
Leading Change When Moving to Google Cloud.
Managing Machine Learning Projects with Google Cloud.
Data-Driven Transformation with Google Cloud.
Google Cloud Advanced Skills & Certification Workshop: Cloud Developer.

Logging, Monitoring, and Observability in Google Cloud.
Developing Applications with Google Cloud.
Architecting Hybrid Cloud Infrastructure with Anthos.
Architecting with Google Kubernetes Engine.
Analyzing and Visualizing Data in Looker.
Google Cloud Advanced Skills & Certification Workshop – Data Engineer.
Developing Application with Google Cloud Platform – Classroom Course Offerings.
Serverless Data Processing with Dataflow.
From Data to Insights with Google Cloud Platform.
Google Cloud Advanced Skills & Certification Workshop – Cloud ArchitectĪrchitecting on Amazon Web Services (AWS) for Google Cloud Professionals.
Google Cloud Advanced Skills & Certification Workshop: Associate Cloud Engineer (ACE)
Architecting with Google Cloud Platform: Design and Process.
Getting Started with Google Kubernetes Engine.
Architecting with Google Compute Engine.
Google Cloud Training and Certification Roadmap.
Labs are entirely HTML 5, no plug-ins or downloads needed.
Highly intuitive user interface allows easy access and completion.
Direct purchase, money saving e-commerce fulfillment.
Labs are entirely HTML 5, with no downloads or plug-ins, significantly reducing technical issues for both instructors and students.
LTI integration for single sign-on and integrated Gradebook functionality.
All scores automatically roll-up into a robust dashboard for instructors to provide actionable performance data management.
Auto Scored “flags” embedded in each lab.
BASIC LABS: This configuration includes only the labs themselves, with the auto-scored flags, but without the solution steps.
These labs also include the auto-scored flags.
ENHANCED LABS: The enhanced labs provide the step-by-step solution instructions that provide the learner with a highly prescriptive approach to mastery.
Provides instructors with actionable data about student usage.
Instructionally designed for better student outcomes.
Very easy to implement into the program.
While surveying current Red Hat Academy institutions, we sought to understand what would enhance this already powerful program. These labs are completely cloud based, can be accessed globally 24/7, offer upgraded scoring features, and have a successful record of improving student outcomes. Infosec Learning has partnered with Red Hat Academy to deploy the RHEL 8 labs. Sign up for a webinar RED HAT ACADEMY AND INFOSEC LEARNING

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Apigee Engineer
Job title: Apigee Engineer Company: TEKsystems Job description: Limited, Bracknell, RG12 1RT, United Kingdom. No. . Allegis Group Limited operates as an Employment Business and Employment… Banking client of ours in creating a single API management platform using Google Apigee. The platform will be responsible… Expected salary: Location: England Job date: Mon, 08 Aug 2022 07:57:07 GMT Apply for…
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Artificial Intelligence in Data Analytics, Various Google Cloud Platform Services | E-Connect
AI in data analytics is the power to explore and learn about enormous amounts of data from numerous sources and observe patterns to make future predictions with the help of Artificial intelligence. Businesses and industries can benefit when people make production, marketing, and development decisions from predictive analytics.Analytics refers to the procedure of identifying, analyzing, and communicating significant patterns of data. Business analytics means applying this method to respond to business queries, make predictions, discover new connections and eventually make better decisions.
AI is a wide domain of computer science that refers to intelligence exhibited by machines. Usually, this term means machines imitating functions such as learning, problem-solving, reasoning, and representation. AI can be used for everything from understanding human language, driving cars, playing games, and analytics. Several other techniques for solving problems with the help of AI include statistical techniques, search optimization, and artificial neural networks. AI analytics means a set of business intelligence that utilizes machine learning techniques to find insights, and discover new patterns and relationships in the data.
AI analytics is the procedure of automating the work that a data analyst would usually do.
Google Cloud Platform Services offers a lot of IaaS, PaaS, and SaaS services.Compute
App Engine
Batch
Compute Engine
Google Cloud VMware Engine (GCVE)
Storage
Cloud Storage
Persistent Disk
Cloud Filestore
Cloud Storage for Firebase
Databases
Cloud Bigtable
Datastore
Firestore
Memorystore
Cloud Spanner
Cloud SQL
Networking
Cloud CDN
Cloud DNS
Cloud IDS (Cloud Intrusion Detection System)
Cloud Interconnect
Cloud Load Balancing
Cloud NAT (Network Address Translation)
Cloud Router
Cloud VPN
Google Cloud Armor
Google Cloud Armor Managed Protection Plus
Network Connectivity Center
Network Intelligence Center
Network Service Tiers
Service Directory
Spectrum Access System
Traffic Director
Virtual Private Cloud
Operations
Cloud Debugger
Cloud Logging
Cloud Monitoring
Cloud Profiler
Cloud Trace
Developer Tools
Artifact Registry
Container Registry
Cloud Build
Cloud Source Repositories
Firebase Test Lab
Google Cloud Deploy
Test Lab
Data Analytics
BigQuery
Cloud Composer
Cloud Data Fusion
Cloud Life Sciences (formerly Google Genomics)
Data Catalog
Data Studio
Dataplex
Dataflow
Datalab
Dataproc
Dataproc Metastore
Datastream
Google Earth Engine
Pub/Sub
AI and Machine LearningAI Building BlocksAutoML
AutoML Natural Language
AutoML Tables
AutoML Translation
AutoML Video
AutoML Vision
Cloud Natural Language APICloud Translation (including Cloud Translation v2 or any subsequent general availability version/release)Cloud VisionContact Center AI (CCAI).Contact Center AI InsightsDialogflow Essentials(ES)Dialogflow Customer Experience Edition (CX)
Document AI
Human-in-the-Loop AI
Media Translation APISpeaker IDSpeech-to-TextText-to-SpeechVideo Intelligence APIVertex AI, AI Platform, and Accelerators
AI Platform Data Labeling
AI Platform Deep Learning Container
AI Platform Neural Architecture Search (NAS)
AI Platform Training and Prediction
Notebooks
Vertex AI
Industry Solutions
Talent Solution
Discovery Solutions
API Management
Apigee
API Gateway
Cloud Endpoints
Payment Gateway
Hybrid and Multi-cloud
Authors: Anthos is an integrated platform incorporating cloud-based services and software components, including:
Anthos Config Management
Anthos Identity Service
Anthos Integration with Google Cloud Platform Services
Anthos Premium Software
Anthos Service Mesh
Google Kubernetes Engine
Connect
Hub
Cloud Run for AnthosGoogle-Managed Multi-Cloud ServicesBigQuery OmniBare MetalBare Metal SolutionMigration
BigQuery Data Transfer Service
BigQuery Migration Service
Database Migration Service
Migrate for Compute Engine V5.0 and up
Storage Transfer Service
Transfer Appliance
Security and IdentitySecurity
Access Transparency
Assured Workloads
Binary Authorization
Certificate Authority Service
Certificate Manager
Cloud Asset Inventory
Cloud Data Loss Prevention
Cloud External Key Manager (Cloud EKM)
Cloud HSM
Cloud Key Management Service
Event Threat Detection
Key Access Justifications (KAJ)
Risk Manager
Security Command Center
VPC Service Controls
Secret Manager
Web Security Scanner
Identity & Access
Access Approval
Access Context Manager
BeyondCorp EnterpriseBeyondCorp Enterprise is an integrated platform incorporating cloud-based services and software components, including:
On-premises Connector
BCE app connector
BCE client connector
Endpoint Verification
Threat and Data Protection ServicesBeyondCorp Enterprise Integration with Chrome Browser Cloud ManagementCloud Identity Services
Firebase Authentication
Google Cloud Identity-Aware Proxy
Identity & Access Management (IAM)
Identity Platform.
Resource Manager APIGoogle Distributed CloudGoogle Distributed Cloud - EdgeSovereign Controls by Sovereign PartnersUser Protection Services
reCAPTCHA Enterprise
Web Risk API
Serverless Computing
Cloud Run
Cloud Functions
Cloud Functions for Firebase
Cloud Scheduler
Cloud Tasks
Eventarc
Workflows
Internet of Things (IoT)IoT CoreManagement Tools
Google Cloud App
Cloud Deployment Manager
Cloud Shell
Recommenders
Service InfrastructureHealthcare and Life Sciences
Cloud Healthcare
Healthcare Data Engine (HDE)
Media and Gaming
Game Servers
Live Stream API
Transcoder API
Video Stitcher API
Google Cloud Platform Software
BigQuery Connector for SAP
Cloud Run for Anthos deployed on VMware e
Config Connector
Google Cloud SDK:
Kf
Migrate for Anthos
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Apigee Training - IDESTRAININGS
Apigee is an API entryway the executives instrument proposed by Google to exchange the gathered information across cloud administrations and applications. The information can be utilized to peruse, update, make, and erase the activities concerning assets. It have some control over the API passage that makes it simpler to make and deal with present day, engineer well disposed applications. Those creating associated applications, the organizations refreshing heritage applications, and others permitting information move among applications and administrations can utilize Apigee. In this instructional exercise we will find out about what apigee is, the reason apigee, history of apigee, elements of apigee, fundamental phrasings utilized in Apigee, parts of apigee, kinds of apigee, administrations accessible through apigee, and attributes of API intermediary advancement.
What is Apigee?
Apigee can be characterized as a stage for making and taking care of the APIs. An Application programming point of interaction (API) goes about as a solitary window or section point for a characterized set of microservices and handles convention interpretations. Many administrations are guaranteed via RESTful APIs, a building style for an API that utilizes HTTP solicitations to access and utilize information. Through using the organizations with a mediator layer, Apigee gives a reflection or facade to your backend administration APIs and gives rate confining, security, examination and so forth. Apigee is the present critical focus of API capacities and organizations for makers. Programming connection point Management insinuates the strategies and gadgets which engage a relationship to execute and care for its APIs. It oversees how the doorway passes to the backend organization and returns the response back.

Why apigee?
Most of the enormous associations have worked out APIs for their clients and for internal use. There is a choice to have the data on-premise or in the cloud, whichever ends up being savage for the situation. Programming interface gadgets consistently consider security methodology definition and execution, including check and endorsement of API clients. They can cover API calls and break cutoff points of purpose subject to set up SLAs and resource task plans. IT Central Station clients are looking for a strong API section that supervises engines to dynamically modify requesting and responses. Conveying contraptions, report access and methodologies of purpose and manages the presence example of API Management is liable for social affair data examination, and screens load balancers and investigating, especially email, logs, and endorsement botches. Clients using APIs have accessibility of information for their usage since APIs really do influence various things and organizations.
History
Apigee, delivered as a public beta in the year 2009 by Sonoa Systems which is a free, cloud-based API the board device. The organization name Sonoa Systems was rebranded in 2010 to Apigee for advancing its center item. In 2015 it turned into an establishing individual from the OpenAPI Initiative, supported by the Linux Foundation. Google bought Apigee in 2016 and extended its API the executives contributions. AccuWeather, PayPal, twentieth Century Fox, the American Cancer Society, Target, Twitter, and Bloomberg are a portion of the clients of Apigee. In 2018, it was proclaimed a pioneer for the third continuous year by the Gartner Magic Quadrant for Full lifecycle API the executives.
Elements of Apigee
Apigee can be profited as a membership model through which the API the board stage can be used. Its elements include:
Associates the ongoing UI with conventional information stores.
Computerizes documentation of APIs and programming improvement units.
Upholds both the crossover cloud and multi-cloud.
Works together the examination and AI
Gives apparatuses to screen and investigate API with security and advancement.
Adaptable according to the necessities.
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How To Pass Google Apigee-API-Engineer Exam Certification?
How To Pass Google Apigee-API-Engineer Exam Certification?
The Apigee-API-Engineer exam plays a very important role in acquiring Google certification for aspiring network engineers. All the Google certification exams are highly meticulous and cover a lot of diverse areas of technology. This exam is part of the Google Cloud Certified certification(s) and is a key element in improving your skill set. Getting through the Google Cloud – Apigee Certified API…
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Tyk raises $35M for its open source, open-ended approach to enterprise API management
APIs are the grease turning the gears and wheels for many organizations’ IT systems today, but as APIs grow in number and use, tracking how they work (or don’t work) together can become complex and potentially critical if something goes awry. Now, a startup that has built an innovative way to help with this is announcing some funding after getting traction with big enterprises adopting its approach.
Tyk, which has built a way for users to access and manage multiple internal enterprise APIs through a universal interface by way of GraphQL, has picked up $35 million, an investment that it will be using both for hiring and to continue enhancing and expanding the tools that it provides to users. Tyk has coined a term describing its approach to managing APIs and the data they produce — “universal data graph” — and today its tools are being used to manage APIs by some 10,000 businesses, including large enterprises like Starbucks, Societe Generale and Domino’s.
Scottish Equity Partners led the round, with participation also from MMC Ventures — its sole previous investor from a round in 2019 after boostrapping for its first five years. The startup is based out of London but works in a very distributed way — one of the co-founders is living in New Zealand currently — and it will be hiring and growing based on that principle, too. It has raised just over $40 million to date.
Tyk (pronounced like “tyke”, meaning small/lively child) got its start as an open source side project first for co-founder Martin Buhr, who is now the company’s CEO, while he was working elsewhere, as a “load testing thing,” in his words.
Corporate venture capital follows the same trend as other VC markets: Up
The shifts in IT toward service-oriented architectures, and building and using APIs to connect internal apps, led him to rethink the code and consider how it could be used to control APIs. Added to that was the fact that as far as Buhr could see, the API management platforms that were in the market at the time — some of the big names today include Kong, Apigee (now a part of Google), 3scale (now a part of RedHat and thus IBM), MuleSoft (now a part of Salesforce) — were not as flexible as his needs were. “So I built my own,” he said.
It was built as an open source tool, and some engineers at other companies started to use it. As it got more attention, some of the bigger companies interested in using it started to ask why he wasn’t charging for anything — a sure sign as any that there was probably a business to be built here, and more credibility to come if he charged for it.
“So we made the gateway open source, and the management part went into a licensing model,” he said. And Tyk was born as a startup co-founded with James Hirst, who is now the COO, who worked with Buhr at a digital agency some years before.
The key motivation behind building Tyk has stayed as its unique selling point for customers working in increasingly complex environments.
“What sparked interest in Tyk was that companies were unhappy with API management as it exists today,” Buhr noted, citing architectures using multiple clouds and multiple containers, creating more complexity that needed better management. “It was just the right time when containerization, Kubernetes and microservices were on the rise… The way we approach the multi-data and multi-vendor cloud model is super flexible and resilient to partitions, in a way that others have not been able to do.”
“You engage developers and deliver real value and it’s up to them to make the choice,” added Hirst. “We are responding to a clear shift in the market.”
One of the next frontiers that Tyk will tackle will be what happens within the management layer, specifically when there are potential conflicts with APIs.
“When a team using a microservice makes a breaking change, we want to bring that up and report that to the system,” Buhr said. “The plan is to flag the issue and test against it, and be able to say that a schema won’t work, and to identify why.”
Even before that is rolled out, though, Tyk’s customer list and its growth speak to a business on the cusp of a lot more.
“Martin and James have built a world-class team and the addition of this new capital will enable Tyk to accelerate the growth of its API management platform, particularly around the GraphQL focused Universal Data Graph product that launched earlier this year,” said Martin Brennan, a director at SEP, in a statement. “We are pleased to be supporting the team to achieve their global ambitions.”
Keith Davidson, a partner at SEP, is joining the Tyk board as a non-executive director with this round.
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Googleは、企業がクラウド上で簡単かつ迅速にビジネスアプリケーションを実現するためのプラットフォーム「Business Application Platform」を発表しました。 Business Application Platformはおもに、Google CloudのサービスをAPI経由で利用しやすくする「API Gateway」、ノーコード開発ツールのAppSheetのデータソースを拡張する「Apigee data source for AppSheet」、そしてAppSheetの新機能としてノーコードでプロセスオートメーションを実現する「AppSheet Automation」の3つから構成されます。 Google CloudをAPI経由で容易に再利用 「API Gateway」は、Google Compute Engine、Google Kubernetes Engine、Google Cloud Functions、Google Cloud Runなどを用い、Google Cloud上でユーザーが構築したサービスやアプリケーションに対して、統一したAPIのエンドポイントを設定するためのサービスです。 これにより、プログラマがクラウド上で開発したロジックやデータソースを、APIを通じて容易にアプリケーションから呼び出して利用できるようになります。 ノーコードツールのデータソースを豊富に AppSheetは、2020年1月にGoogleが買収したノーコード開発ツールです。Google SpredsheetやExcelのようなスプレッドシート、MySQLやSQL Server、PostgreSQL、AWS DynamoDBなどのデータベース、Salesforceなどをデータソースとし、簡単なGUI操作でWebブラウザやスマートフォン、タブレットに対応した業務アプリケーションを生成できます。 最大の特徴は、AppSheetがデータソースのフィールド名などを基にアプリケーションの種類などを機械学習により推測し、こんなアプリケーションがよいのではないか? というユーザーインターフェイスやプロトタイプアプリケーションが自動生成されるというもの。 AppSheetではデータソースを設定すると、自動的に画面右のプロトタイプが生成される 機械学習のアドバイスなどを参考にプロトタイプをカスタマイズしていけば、アプリケーションができてしまいます。 参考:Googleはなぜノーコード開発ツールのAppSheetを買収し、1年半前に正式版になったばかりのApp Makerを終了させるのか? 「Apigee data source for AppSheet」は、このAppSheetで利用できるデータソースを柔軟に拡大する機能を提供します。下記は「Accelerate digital transformation with business application platform」からの引用です。 By enabling employees to build apps that leverage Apigee APIs and require no coding, enterprises can both empower line-of-business employees without technical experience to create innovative apps and reduce traditional IT backlog. 従業員がApigee APIを活用しノーコードでアプリケーションを開発できるようにすることで、技術的な経験のない現場の従業員であっても革新的なアプリケーション開発が可能になり、従来のIT部門のバックログを減らすことができます。 ノーコードでプロセスオートメーションを構築 「AppSheet Automation」は、ノーコード開発ツールのAppSheetの新機能で、コードを書かずにプロセスオートメーションを実現するというもの。 まだアーリーアクセスの段階のため、機能の詳細は明らかにされていませんが、以下の説明を読むかぎり、人間が手作業で行っていた作業などを自動化する、いわゆる「RPA」(Robot Process Automation)に分類されるもののようです。 Powered by Google Cloud’s AI products and now available for early access, AppSheet Automation serves this need by helping businesses build and run automations faster, without having to write code. Google CloudのAI製品を搭載し、今回アーリーアクセス版として提供するAppSheet Automationは、コードを書くことなく、迅速にオートメーションを構築、実行できるようにすることで、ビジネスのニーズに応えます。 It is easily governed, ensuring data security across the entire organization, and can address a vast array of use cases, including human-centric processes, application integration, and document-based processes. これは管理が容易で、組織全体のデータセキュリティを確保しつつ、人間が行っていたプロセス、アプリケーション統合、文書ベースのプロセスなど、さまざまなユースケースに対応することができます。 これらはいずれも、職業プログラマではなく、業務の現場で働く一般の従業員などがビジネスの効率化や自動化を行うためのツール、あるいはそれを補助するためのプラットフォームといえます。 今年1月のAppSheetの買収でもそうだったように、Googleは明確に、非プログラマあるいは「シチズンデベロッパー」と呼ばれる新しい層に向けて、G SuiteやAppSheet、Google Cloudなどを訴求しようとしています。 それが今回発表された「Business Application Platform」と言え、今後もGoogleはこの分野でのさらなる強化を進めていくことでしょう。 関連記事
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