Google Cloud Storage is unified object storage for developers and enterprises, from live data serving to data analytics/ML to data archiving.
High performance, internet-scale, immutable BLOB (binary large object) storage
Simple Abstraction Storage buckets, immutable objects with mutable metadata and Globally unique URI identifiers for buckets, objects
Common storage for Google Cloud Platform services
(BDT303) Construct Your ETL Pipeline with AWS Data Pipeline, Amazon EMR, and ...Amazon Web Services
An advantage to leveraging Amazon Web Services for your data processing and warehousing use cases is the number of services available to construct complex, automated architectures easily. Using AWS Data Pipeline, Amazon EMR, and Amazon Redshift, we show you how to build a fault-tolerant, highly available, and highly scalable ETL pipeline and data warehouse. Coursera will show how they built their pipeline, and share best practices from their architecture.
The Event Mesh: real-time, event-driven, responsive APIs and beyondSolace
Phil Scanlon, Head of Technology in Asia Pacific & Japan for Solace, describes "The Event Mesh" at API Days Melbourne in September 2018. Scanlon explains the complexities of the Event Mesh using the evolution to event-driven, the anatomy of an event, and real world examples.
Google Cloud Platform is a cloud computing platform by Google that offers hosting on the same supporting infrastructure that Google uses internally for end-user products like Google Search and YouTube. Cloud Platform provides developer products to build a range of programs from simple websites to complex applications.
Google Cloud Platform is a part of a suite of enterprise solutions from Google for Work and provides a set of modular cloud-based services with a host of development tools. For example, hosting and computing, cloud storage, data storage, translations APIs and prediction APIs.
Topic Covered
Why Google Cloud Platform ?
Google Cloud Platform Services: First Insight !!!
Google Cloud Storage is unified object storage for developers and enterprises, from live data serving to data analytics/ML to data archiving.
High performance, internet-scale, immutable BLOB (binary large object) storage
Simple Abstraction Storage buckets, immutable objects with mutable metadata and Globally unique URI identifiers for buckets, objects
Common storage for Google Cloud Platform services
(BDT303) Construct Your ETL Pipeline with AWS Data Pipeline, Amazon EMR, and ...Amazon Web Services
An advantage to leveraging Amazon Web Services for your data processing and warehousing use cases is the number of services available to construct complex, automated architectures easily. Using AWS Data Pipeline, Amazon EMR, and Amazon Redshift, we show you how to build a fault-tolerant, highly available, and highly scalable ETL pipeline and data warehouse. Coursera will show how they built their pipeline, and share best practices from their architecture.
The Event Mesh: real-time, event-driven, responsive APIs and beyondSolace
Phil Scanlon, Head of Technology in Asia Pacific & Japan for Solace, describes "The Event Mesh" at API Days Melbourne in September 2018. Scanlon explains the complexities of the Event Mesh using the evolution to event-driven, the anatomy of an event, and real world examples.
Google Cloud Platform is a cloud computing platform by Google that offers hosting on the same supporting infrastructure that Google uses internally for end-user products like Google Search and YouTube. Cloud Platform provides developer products to build a range of programs from simple websites to complex applications.
Google Cloud Platform is a part of a suite of enterprise solutions from Google for Work and provides a set of modular cloud-based services with a host of development tools. For example, hosting and computing, cloud storage, data storage, translations APIs and prediction APIs.
Topic Covered
Why Google Cloud Platform ?
Google Cloud Platform Services: First Insight !!!
Protecting your data at rest with Apache Kafka by Confluent and Vormetricconfluent
Learn how data in motion is secure within Apache Kafka and the broader Confluent Platform, while data at rest can be secured by solutions like Vormetric Data Security Manager.
Introduction to AWS Glue: Data Analytics Week at the SF LoftAmazon Web Services
Introduction to AWS Glue: Data Analytics Week at the San Francisco Loft
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. You can create and run an ETL job with a few clicks in the AWS Management Console. You simply point AWS Glue to your data stored on AWS, and AWS Glue discovers your data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, your data is immediately searchable, queryable, and available for ETL. AWS Glue generates the code to execute your data transformations and data loading processes.
Level: Intermediate
Speakers:
John Mallory - Principal Business Development Manager, Storage, AWS
Asim Kumar Sasmal - Big Data Consultant, AWS Professional Services
For more training on AWS, visit: https://www.qa.com/amazon
AWS Loft | London - Deep Dive: Amazon RDS by Toby Knight, Manager Solutions Architecture, 18 April 2016
Introduction to Google BigQuery. Slides used at the first GDG Cloud meetup in Brussels, about big data on Google Cloud Platform. (http://www.meetup.com/GDG-Cloud-Belgium/events/228206131)
DataOps for the Modern Data Warehouse on Microsoft Azure @ NDCOslo 2020 - Lac...Lace Lofranco
Talk Description:
The Modern Data Warehouse architecture is a response to the emergence of Big Data, Machine Learning and Advanced Analytics. DevOps is a key aspect of successfully operationalising a multi-source Modern Data Warehouse.
While there are many examples of how to build CI/CD pipelines for traditional applications, applying these concepts to Big Data Analytical Pipelines is a relatively new and emerging area. In this demo heavy session, we will see how to apply DevOps principles to an end-to-end Data Pipeline built on the Microsoft Azure Data Platform with technologies such as Data Factory, Databricks, Data Lake Gen2, Azure Synapse, and AzureDevOps.
Resources: https://aka.ms/mdw-dataops
Modernizing to a Cloud Data ArchitectureDatabricks
Organizations with on-premises Hadoop infrastructure are bogged down by system complexity, unscalable infrastructure, and the increasing burden on DevOps to manage legacy architectures. Costs and resource utilization continue to go up while innovation has flatlined. In this session, you will learn why, now more than ever, enterprises are looking for cloud alternatives to Hadoop and are migrating off of the architecture in large numbers. You will also learn how elastic compute models’ benefits help one customer scale their analytics and AI workloads and best practices from their experience on a successful migration of their data and workloads to the cloud.
In this presentation we will discuss the evolution of IaaS, PaaS, CaaS, FaaS and how serverless computing is beneficial and what are the challenges we have faced so far
Webinar aws 101 a walk through the aws cloud- introduction to cloud computi...Amazon Web Services
Whether you are running applications that share photos or support critical operations of your business, you need rapid access to flexible and low cost IT resources. The term "cloud computing" refers to the on-demand delivery of IT resources via the Internet with pay-as-you-go pricing. Whether you are a start-up who wants to accelerate growth without a big upfront investment in cash or time for technology or an Enterprise looking for IT innovation, agility and resiliency while reducing costs, the AWS Cloud provides a complete set of web services at zero upfront costs which are available with a few clicks and within minutes. Join this webinar to learn more about the benefits of Cloud Computing and:
- The history of AWS and how a global online retailer got into cloud computing
- The concepts of utility computing and elasticity and why these are important to a cost-effective, scalable and reliable IT architecture
- The AWS service portfolio and the global footprint on which it is delivered
- The value proposition of the AWS Cloud
- Use cases to help you relate cloud based infrastructure to your own needs
- Busting the myths around cloud computing
- No prior experience is necessary, so join us for an overview of the AWS cloud services, and a discussion on how cloud computing can help accelerate innovation in your company.
Testing Big Data application is more a verification of its data processing rather than testing the individual features. It demands a high level of testing skills as the processing is very fast.
Understanding MicroSERVICE Architecture with Java & Spring BootKashif Ali Siddiqui
This is a deep journey into the realm of "microservice architecture", and in that I will try to cover each inch of it, but with a fixed tech stack of Java with Spring Cloud. Hence in the end, you will be get know each and every aspect of this distributed design, and will develop an understanding of each and every concern regarding distributed system construct.
AWS의 CDN 서비스인 CloudFront의 가속 및 DDoS 방어 소개
# CloudFront 장점
- 수퍼 PoP: AWS 클라우드 구축/운영 Know-How 가 담긴 고성능/대용량 아키텍쳐
* 국내 최대 Capacity / 가장 빠르게 성장하는 글로벌 CDN 서비스
- Single-Service: (캐싱, 다이나믹 가속, HTTPS, AWS Shield Standard 등) 동일 가격 체계로 제공
- AWS Backbone 전용망: Edge <=> Origin 가속
- 인라인 DDoS 방어: Shield Standard & Advance
- AWS 서비스 연동성
Protecting your data at rest with Apache Kafka by Confluent and Vormetricconfluent
Learn how data in motion is secure within Apache Kafka and the broader Confluent Platform, while data at rest can be secured by solutions like Vormetric Data Security Manager.
Introduction to AWS Glue: Data Analytics Week at the SF LoftAmazon Web Services
Introduction to AWS Glue: Data Analytics Week at the San Francisco Loft
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. You can create and run an ETL job with a few clicks in the AWS Management Console. You simply point AWS Glue to your data stored on AWS, and AWS Glue discovers your data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, your data is immediately searchable, queryable, and available for ETL. AWS Glue generates the code to execute your data transformations and data loading processes.
Level: Intermediate
Speakers:
John Mallory - Principal Business Development Manager, Storage, AWS
Asim Kumar Sasmal - Big Data Consultant, AWS Professional Services
For more training on AWS, visit: https://www.qa.com/amazon
AWS Loft | London - Deep Dive: Amazon RDS by Toby Knight, Manager Solutions Architecture, 18 April 2016
Introduction to Google BigQuery. Slides used at the first GDG Cloud meetup in Brussels, about big data on Google Cloud Platform. (http://www.meetup.com/GDG-Cloud-Belgium/events/228206131)
DataOps for the Modern Data Warehouse on Microsoft Azure @ NDCOslo 2020 - Lac...Lace Lofranco
Talk Description:
The Modern Data Warehouse architecture is a response to the emergence of Big Data, Machine Learning and Advanced Analytics. DevOps is a key aspect of successfully operationalising a multi-source Modern Data Warehouse.
While there are many examples of how to build CI/CD pipelines for traditional applications, applying these concepts to Big Data Analytical Pipelines is a relatively new and emerging area. In this demo heavy session, we will see how to apply DevOps principles to an end-to-end Data Pipeline built on the Microsoft Azure Data Platform with technologies such as Data Factory, Databricks, Data Lake Gen2, Azure Synapse, and AzureDevOps.
Resources: https://aka.ms/mdw-dataops
Modernizing to a Cloud Data ArchitectureDatabricks
Organizations with on-premises Hadoop infrastructure are bogged down by system complexity, unscalable infrastructure, and the increasing burden on DevOps to manage legacy architectures. Costs and resource utilization continue to go up while innovation has flatlined. In this session, you will learn why, now more than ever, enterprises are looking for cloud alternatives to Hadoop and are migrating off of the architecture in large numbers. You will also learn how elastic compute models’ benefits help one customer scale their analytics and AI workloads and best practices from their experience on a successful migration of their data and workloads to the cloud.
In this presentation we will discuss the evolution of IaaS, PaaS, CaaS, FaaS and how serverless computing is beneficial and what are the challenges we have faced so far
Webinar aws 101 a walk through the aws cloud- introduction to cloud computi...Amazon Web Services
Whether you are running applications that share photos or support critical operations of your business, you need rapid access to flexible and low cost IT resources. The term "cloud computing" refers to the on-demand delivery of IT resources via the Internet with pay-as-you-go pricing. Whether you are a start-up who wants to accelerate growth without a big upfront investment in cash or time for technology or an Enterprise looking for IT innovation, agility and resiliency while reducing costs, the AWS Cloud provides a complete set of web services at zero upfront costs which are available with a few clicks and within minutes. Join this webinar to learn more about the benefits of Cloud Computing and:
- The history of AWS and how a global online retailer got into cloud computing
- The concepts of utility computing and elasticity and why these are important to a cost-effective, scalable and reliable IT architecture
- The AWS service portfolio and the global footprint on which it is delivered
- The value proposition of the AWS Cloud
- Use cases to help you relate cloud based infrastructure to your own needs
- Busting the myths around cloud computing
- No prior experience is necessary, so join us for an overview of the AWS cloud services, and a discussion on how cloud computing can help accelerate innovation in your company.
Testing Big Data application is more a verification of its data processing rather than testing the individual features. It demands a high level of testing skills as the processing is very fast.
Understanding MicroSERVICE Architecture with Java & Spring BootKashif Ali Siddiqui
This is a deep journey into the realm of "microservice architecture", and in that I will try to cover each inch of it, but with a fixed tech stack of Java with Spring Cloud. Hence in the end, you will be get know each and every aspect of this distributed design, and will develop an understanding of each and every concern regarding distributed system construct.
AWS의 CDN 서비스인 CloudFront의 가속 및 DDoS 방어 소개
# CloudFront 장점
- 수퍼 PoP: AWS 클라우드 구축/운영 Know-How 가 담긴 고성능/대용량 아키텍쳐
* 국내 최대 Capacity / 가장 빠르게 성장하는 글로벌 CDN 서비스
- Single-Service: (캐싱, 다이나믹 가속, HTTPS, AWS Shield Standard 등) 동일 가격 체계로 제공
- AWS Backbone 전용망: Edge <=> Origin 가속
- 인라인 DDoS 방어: Shield Standard & Advance
- AWS 서비스 연동성
An Overview of All The Different Databases in Google CloudFibonalabs
Google cloud platform (GCP) is a high-performance infrastructure for cloud computing, data analytics, and machine learning. Google Cloud runs on the same infrastructure that Google uses for its end-user products like Google Search, Gmail, Google Drive, Google Photos, etc.
Now is the time to unravel the mysteries of cloud computing. Where all the participants are going to explore cloud by diving into Virtual machines , Servers, Buckets, etc.
It’s a great way for beginners and experienced individuals alike to dive into Google Cloud technologies and enhance their knowledge.
Google Cloud Platform: Prototype ->Production-> Planet scaleIdan Tohami
As one of Big Data’s Founding Fathers, Google explored the technological changes we faced over the past 10 years and present their solutions to the new data challenges within the Google Cloud ecosystem
This session will cover IaaS (Compute Engine), PaaS (App Engine), FaaS (Cloud Functions), CaaS (GKE), compute offerings on GCP and IAM, and Storage in General.
Modern Thinking: Cómo el Big Data y Cognitive están cambiando la estrategia de Marketing
Por: Ismael Yuste, Strategic Cloud Engineer Google Cloud
Presentación: Introducción a las soluciones Big Data de Google
Cloud Computing:
Cloud computing is the delivery of different services through the Internet. These resources include tools and applications like data storage, servers, databases, networking, and software.
Want to know how much potential does Microsoft Azure cloud has? Go through with this slide set that shows a quick introduction to Microsoft Azure public cloud, its features and what amazing things you can do with its power, flexibility and scalability!
Building what's next with google cloud's powerful infrastructureMediaAgility
Building What's Next with Google Cloud's Powerful Infrastructure. Companies are facing increasing challenges
Be more data driven, but on-prem data is hard to access, analyze, and use
Have to focus to stay ahead of competition, can’t afford wasted efforts
Attract and retain customers and employees with great experiences
Security threats keep growing
Be more agile - turn IT into competitive advantage
Google is focused on helping companies meet those challenges. To know more feel free to explore these slides and write back to us.
GCP On Prem Buyers Guide - White-paper | Qubole Vasu S
A buyer's guide for migrating a data lake to google cloud, we look at the efficiency and agility an organization can achieve by adopting the qubole open data lake platform & google cloud platform
https://www.qubole.com/resources/white-papers/gcp-on-prem-buyers-guide
Introduction to Google Cloud & GCCP CampaignGDSCVJTI
Topics covered:
🔴 Why Cloud?
🔴 Learn the basics of cloud.
🔴 Applications of cloud.
🔴 Introduction to the Google Cloud platform
🔴 Insights on the upcoming GCCP Campaign
Hybrid Kafka, Taking Real-time Analytics to the Business (Cody Irwin, Google ...HostedbyConfluent
Apache Kafka users who want to leverage Google Cloud Platform's (GCPs) data analytics platform and open source hosting capabilities can bridge their existing Kafka infrastructure on-premise or in other clouds to GCP using Confluent's replicator tool and managed Kafka service on GCP. Using actual customer examples and a reference architecture, we'll showcase how existing Kafka users can stream data to GCP and use it in popular tools like Apache Beam on Dataflow, BigQuery, Google Cloud Storage (GCS), Spark on Dataproc, and Tensorflow for data warehousing, data processing, data storage, and advanced analytics using AI and ML.
Similar to Google Cloud Platform - Service Glossary (20)
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
2. Welcome
THE TARGET FOR THIS PRESENTATION
ARE THOSE WHO ARE INTERESTED IN
LEARNING GOOGLE CLOUD
PLATFORM OR THOSE WHO WANTS TO
KEEP GCP SERVICES AND THEIR
DESCRIPTIONS HANDY.
THE SERVICE DESCRIPTIONS ARE
DERIVED FROM THE OFFICIAL
GOOGLE CLOUD DOCUMENTATION
by Joseph Amrith Raj
3. Google App Engine
Google App Engine enables you to build and host applications on the
same systems that power Google applications.
App Engine offers fast development and deployment; simple administration,
with no need to worry about hardware, patches or backups; and effortless
scalability.
by Joseph Amrith Raj
4. Google BigQuery Service
Google BigQuery Service is a fully managed data analysis service that
enables businesses to analyse Big Data.
It features highly scalable data storage that accommodates up to hundreds of
terabytes, the ability to perform ad hoc queries on multi-terabyte datasets, and
the ability to share data insights via the web.
by Joseph Amrith Raj
5. Google Cloud Bigtable
Google Cloud Bigtable is a fast, fully managed, highly-scalable NoSQL
database service.
It is designed for the collection and retention of data from 1TB to hundreds of
PB.
by Joseph Amrith Raj
6. Google Cloud Build
Google Cloud Build is a service that executes your builds on Google
Cloud Platform infrastructure.
It can import source code from Google Cloud Storage, Cloud Source
Repositories, GitHub, or Bitbucket; execute a build to your specifications; and
produce artefacts such as Docker containers or Java archives.
by Joseph Amrith Raj
7. Google Cloud Dataflow
Google Cloud Dataflow is a fully managed service for strongly consistent,
parallel data-processing pipelines.
It provides an SDK for Java with composable primitives for building data-
processing pipelines for batch or continuous processing.
This service manages the life cycle of Google Compute Engine resources of the
processing pipeline(s).
It also provides a monitoring user interface for understanding pipeline health.
by Joseph Amrith Raj
8. Google Cloud Datalab
Google Cloud Datalab is an interactive tool for exploration,
transformation, analysis and visualization of your data on Google Cloud
Platform.
It runs in your cloud project and enables you to write code to use other Big
Data and storage services using a rich set of Google-authored and third party
libraries.
by Joseph Amrith Raj
9. Google Cloud Dataproc
Google Cloud Dataproc is a fast, easy to use, managed Spark and
Hadoop service for distributed data processing.
It provides management, integration, and development tools for
unlocking the power of rich open source data processing tools. With
Cloud Dataproc, you can create Spark/Hadoop clusters sized for your
workloads precisely when you need them.
by Joseph Amrith Raj
10. Google Cloud Datastore
Google Cloud Datastore is a fully managed, schema-less, non-relational
datastore.
It provides a rich set of query capabilities, supports atomic transactions, and
automatically scales up and down in response to load. It can scale to support
an application with 1,000 users or 10 million users with no code changes.
by Joseph Amrith Raj
11. Google Cloud Endpoints
Google Cloud Endpoints is a tool that helps you to develop, deploy,
secure and monitor your APIs running on Google Cloud Platform.
by Joseph Amrith Raj
12. Google Cloud Firestore
Cloud Firestore is a NoSQL document database for storing, syncing, and
querying data for mobile and web apps.
Its client libraries provide live synchronization and offline support, while its
security features and integrations with Firebase and Google Cloud Platform
accelerate building serverless apps.
by Joseph Amrith Raj
13. Google Cloud Functions
Google Cloud Functions is a lightweight, event-based, asynchronous
compute solution that allows you to create small, single-purpose functions
that respond to cloud events without the need to manage a server or a
runtime environment.
by Joseph Amrith Raj
14. Google Cloud Healthcare
Cloud Healthcare is a fully managed service to send, receive, store,
query, transform, and analyse healthcare and life sciences data and
enable advanced insights and operational workflows using highly
scalable and compliance-focused infrastructure.
by Joseph Amrith Raj
15. Google Cloud IoT Core
Google Cloud IoT Core is a fully managed service that allows you to easily
and securely connect, manage, and ingest data from internet
connected devices.
It permits utilization of other Google Cloud services for collecting, processing,
analysing, and visualizing IoT data in real time.
by Joseph Amrith Raj
16. Google Cloud Talent Solution
Cloud Talent Solution offers access to Google's machine learning,
enabling company career sites, job boards, ATS, staffing agencies, and
other recruitment technology platforms to improve the talent acquisition
experience.
by Joseph Amrith Raj
17. Google Cloud Hardware Security Module
Google Cloud Hardware Security Module is a cloud-hosted key
management service that lets you protect encryption keys and perform
cryptographic operations within a managed HSM service.
You can generate, use, rotate, and destroy various symmetric and asymmetric
keys.
by Joseph Amrith Raj
18. Google Cloud Key Management Service
Cloud KMS is a cloud-hosted key management service that lets you
manage encryption for your cloud services the same way you do on-
premises.
You can generate, use, rotate, and destroy AES256 encryption keys.
by Joseph Amrith Raj
19. Google Cloud Machine Learning Engine
Cloud Machine Learning Engine is a managed service that enables you
to easily build machine learning models with the powerful TensorFlow
framework.
It provides scalable training and prediction services that work on large scale
datasets.
by Joseph Amrith Raj
20. Google Cloud Memorystore
Cloud Memorystore provides a fully managed in-memory data store
service to build application caches or provide sub-millisecond data
access.
Cloud Memorystore is a scalable and highly available Redis service fully
managed by Google.
by Joseph Amrith Raj
21. Google Cloud Pub/Sub
Google Cloud Pub/Sub is designed to provide reliable, many-to-many,
asynchronous messaging between applications.
Publisher applications can send messages to a "topic" and other applications
can subscribe to that topic to receive the messages. By decoupling senders
and receivers, Google Cloud Pub/Sub allows developers to communicate
between independently written applications.
by Joseph Amrith Raj
22. Google Cloud Spanner
Cloud Spanner is a fully managed, mission-critical relational database
service.
It is designed to provide a scalable online transaction processing (OLTP)
database with high availability and strong consistency at global scale.
by Joseph Amrith Raj
23. Google Cloud SQL
Google Cloud SQL is a web service that allows you to create, configure,
and use relational databases that live in Google's cloud.
It is a fully-managed service that maintains, manages, and administers your
databases, allowing you to focus on your applications and services.
by Joseph Amrith Raj
24. Google Cloud Storage
Google Cloud Storage is a RESTful service for storing and accessing your
data on Google's infrastructure.
The service combines the performance and scalability of Google's cloud with
advanced security and sharing capabilities.
by Joseph Amrith Raj
25. Google Cloud Test Lab
Google Cloud Test Lab enables you to test mobile applications using
physical and virtual devices in the cloud.
It runs instrumentation tests and script-less robotic tests on a matrix of device
configurations, and reports detailed results to help improve the quality of your
mobile app.
by Joseph Amrith Raj
26. Google Cloud Translation
Cloud Translation is a RESTful API that automatically translates text from
one language to another language (e.g. French to English).
You can use the API to programmatically translate text in your webpages or
apps.
by Joseph Amrith Raj
27. Google Compute Engine
Google Compute Engine offers scalable and flexible virtual machine
computing capabilities in the cloud, with options to utilize certain CPUs,
GPUs, or Cloud TPUs.
You can use Google Compute Engine to solve large-scale processing and
analytic problems on Google's computing, storage, and networking
infrastructure.
by Joseph Amrith Raj
28. Google Container Registry
Google Container Registry is a private Docker image storage system on
Google Cloud Platform.
The registry can be accessed through an HTTPS endpoint, own hardware.
by Joseph Amrith Raj
29. Google Data Loss Prevention API
The Google Data Loss Prevention API helps you understand and manage
sensitive data.
It provides fast, scalable classification and optional redaction for sensitive data
elements like credit card numbers, names, social security numbers, passport
numbers, US and selected international driver's license numbers, phone
numbers, and more.
by Joseph Amrith Raj
30. Google Kubernetes Engine
Google Kubernetes Engine, powered by the open source container
scheduler Kubernetes, enables you to run containers on Google Cloud
Platform.
Kubernetes Engine takes care of provisioning and maintaining the underlying
virtual machine cluster, scaling your application, and operational logistics such
as logging, monitoring, and cluster health management.
by Joseph Amrith Raj
31. Google Cloud Filestore
Cloud Filestore is a scalable and highly available shared file service fully
managed by Google.
Cloud Filestore provides persistent storage ideal for shared workloads. It is best
suited for enterprise applications requiring persistent, durable, shared storage
which is accessed by NFS or requires a POSIX compliant file system.
by Joseph Amrith Raj
32. Google Cloud Identity for Customers & Partners
Cloud Identity for Customers & Partners ("CICP") provides you with
functionality and tools to manage your users' identities and access to your
applications.
CICP supports authentication and management of users with a variety of
methods, including email & password, phone number, and popular federated
identity providers like Google and Facebook.
by Joseph Amrith Raj
33. Google Access Context Manager
Access Context Manager allows Google Cloud organization
administrators to define fine-grained, attribute based access control for
projects, apps and resources.
by Joseph Amrith Raj
34. Google Access Transparency
Access Transparency captures near real-time logs of manual, targeted
accesses by Google administrators, and serves them to customers via their
Stackdriver Logging account.
by Joseph Amrith Raj
35. Google BigQuery Data Transfer Service
BigQuery Data Transfer Service automates data movement from SaaS
applications to BigQuery on a scheduled, managed basis.
With the BigQuery Data Transfer Service, you can transfer data to BigQuery
from SaaS applications including Google Ads, Campaign Manager, Google Ad
Manager, and YouTube.
by Joseph Amrith Raj
36. Google Cloud Asset Inventory
Cloud Asset Inventory is an inventory of cloud assets with history.
It enables users to export cloud resource metadata at a given timestamp or
cloud resource metadata history within a time window.
by Joseph Amrith Raj
37. Google Cloud SDK
Google Cloud SDK is a set of tools to manage resources and applications
hosted on Google Cloud Platform.
It includes the gcloud, gsutil, and bq command line tools. The gcloud
command-line tool provides the primary command-line interface to Google
Cloud Platform.
by Joseph Amrith Raj
38. Google Cloud Security Command Centre
Cloud Security Command Centre helps security teams gather data,
identify threats, and act on them before they result in business damage or
loss.
It offers deep insight into application and data risk so that you can quickly
mitigate threats to your cloud resources and evaluate overall health.
by Joseph Amrith Raj
39. Google Cloud Source Repositories
Cloud Source Repositories provides Git version control to support
collaborative development of any application or service, including those
that run on App Engine and Compute Engine.
by Joseph Amrith Raj
40. Google Cloud Storage Transfer Service
Cloud Storage Transfer Service enables you to import large amounts of
online data into Google Cloud Storage, quickly and cost-effectively.
With Storage Transfer Service, you can transfer data from Amazon Simple
Storage Service (Amazon S3) and other HTTP/HTTPS locations as well as transfer
data between Google Cloud Storage buckets.
by Joseph Amrith Raj
41. Google Google Cloud Console App
Google Cloud Console App is a native mobile app that enables
customers to manage key Google Cloud services.
It provides monitoring, alerting, and the ability to take actions on resources.
by Joseph Amrith Raj
42. Google Cloud Deployment Manager
Google Cloud Deployment Manager is a hosted configuration tool which
allows developers and administrators to provision and manage their
infrastructure on Google Cloud Platform.
It uses a declarative model which allows users to define or change the
resources necessary to run their applications and will then provision and
manage those resources.
by Joseph Amrith Raj
43. Google Cloud Identity-Aware Proxy
Google Cloud Identity-Aware Proxy is a tool that helps control access,
based on a user's identity and group membership, to applications running
on Google Cloud Platform.
by Joseph Amrith Raj
44. Google Cloud Identity & Access Management (Cloud IAM)
Cloud Identity & Access Management (Cloud IAM) provides
administrators the ability to manage cloud resources centrally by
controlling who can take what action on specific resources.
by Joseph Amrith Raj
45. Google Cloud Resource Manager API
Google Cloud Resource Manager API allows you to programmatically
manage Google Cloud Platform container resources (such as
Organizations and Projects), that allow you to group and hierarchically
organize other Google Cloud Platform resources. This hierarchical
organization lets you easily manage common aspects of your resources
such as access control and configuration settings.
by Joseph Amrith Raj
46. Google Cloud Security Scanner
Google Cloud Security Scanner is a web application security scanner that
enables developers to easily check for a subset of common web
application vulnerabilities in websites built on App Engine and Compute
Engine
by Joseph Amrith Raj
47. Google Cloud Shell
Google Cloud Shell is a tool that provides command-line access to cloud
resources directly from your browser.
You can use Cloud Shell to run experiments, execute Cloud SDK commands,
manage projects and resources, and do lightweight software development via
the built-in web editor.
by Joseph Amrith Raj
48. Google Genomics
Google Genomics provides an API to store, process, explore and share
DNA sequence reads, reference-based alignments, and variant calls,
using Google's cloud infrastructure.
by Joseph Amrith Raj
49. Google Persistent Disk
Google Persistent Disk is durable and high performance block storage for
Google Cloud Platform.
It provides SSD and HDD storage that can be attached to instances running in
either Google Compute Engine or Google Kubernetes Engine.
by Joseph Amrith Raj
50. Google Service Control
Google Service Control is a Google Cloud Platform infrastructure service
that provides control plane functionality to managed services, such as
logging, monitoring, and status checks.
by Joseph Amrith Raj
51. Google Service Management
Google Service Management is a Google Cloud Platform infrastructure
service that manages APIs and services, including GCP services and APIs
and services created using Google Cloud Endpoints.
by Joseph Amrith Raj
52. Google Service Consumer Management
Service Consumer Management provides utilities to help service
producers manage their relationships with their services' consumers,
including the ability to create and manage tenancy units.
by Joseph Amrith Raj
53. Google Transfer Appliance
Transfer Appliance is a solution that uses hardware appliances and
software to transfer large amounts of data quickly and cost-effectively
into Google Cloud Platform.
by Joseph Amrith Raj
55. Firebase Authentication
Firebase Authentication provides a service as part of the Firebase
platform to authenticate and manage users in your applications.
It supports authentication using email & password, phone number and popular
federated identity providers like Google and Facebook.
by Joseph Amrith Raj
56. Firebase Test Lab
Firebase Test Lab lets you test your mobile app using your test code or
automatically on a wide variety of devices and device configurations
hosted in a Google data centre, with test results made available in the
Firebase console.
by Joseph Amrith Raj
57. Cloud Functions for Firebase
Cloud Functions for Firebase lets you write code that responds to events
and invokes functionality exposed by other Firebase features, once you
deploy JavaScript code in a hosted, private, and scalable Node.js
environment that requires no maintenance.
by Joseph Amrith Raj
58. Cloud Storage for Firebase
Cloud Storage for Firebase adds customizable Google security to file
uploads and downloads for your Firebase apps, as well as robust uploads
and downloads regardless of network quality through the Firebase SDK.
Cloud Storage for Firebase is backed by Google Cloud Storage, a service
for storing and accessing your data on Google's infrastructure.
by Joseph Amrith Raj
60. Google Cloud Armor
Google Cloud Armor offers a policy framework and rules language for
customizing access to internet-facing applications and deploying
defences against denial of service attacks.
by Joseph Amrith Raj
61. Google Cloud NAT (Network Address Translation)
Cloud NAT enables instances in a private network to communicate with
the internet.
by Joseph Amrith Raj
62. Google Cloud CDN
Google Cloud CDN uses Google's globally distributed edge points of
presence to cache HTTP(S) load balanced content close to your users.
by Joseph Amrith Raj
63. Google Cloud DNS
Google Cloud DNS is a high performance, resilient, global, fully managed
DNS service that provides a RESTful API to publish and manage DNS
records for your applications and services.
by Joseph Amrith Raj
64. Google Cloud Interconnect
Cloud Interconnect offers enterprise-grade connections to Google Cloud
Platform using Google Services for Dedicated Interconnect, Partner
Interconnect and Cloud VPN.
This solution allows you to directly connect your on-premises network to your
Virtual Private Cloud.
by Joseph Amrith Raj
65. Google Cloud Load Balancer (GCLB):
Google Cloud Load Balancing provides scaling, high availability, and
traffic management for your internet-facing and private applications.
by Joseph Amrith Raj
66. Google Cloud Router
Google Cloud Router enables dynamic Border Gateway Protocol (BGP)
route updates between your VPC network and your non-Google network.
by Joseph Amrith Raj
67. Google Network Service Tiers
Network Service Tiers enable you to select different quality networks (tiers)
for outbound traffic to the internet:
the Standard Tier primarily utilizes third party transit providers
The Premium Tier leverages Google's private backbone and peering surface for
egress.
by Joseph Amrith Raj
68. Google Virtual Private Cloud
Virtual Private Cloud provides a private network topology with IP
allocation, routing, and network firewall policies to create a secure
environment for your deployments.
by Joseph Amrith Raj
69. V Google PC Service Controls
VPC Service Controls provide administrators the ability to configure
security perimeters around resources of API based cloud services (such as
Cloud Storage, BigQuery, Bigtable) and limit access to authorized VPC
networks, thereby mitigating data exfiltration risks.
by Joseph Amrith Raj
70. Google VPN
VPN allows you to connect your existing network to your Google Compute
Engine network via an IPsec connection or connect two different Google
managed VPN gateways.
by Joseph Amrith Raj
72. Google Cloud AutoML
Cloud AutoML is a machine learning product suite that enables developers with limited
machine learning expertise to provide their data sets and obtain access to quality
trained models produced by Google's transfer learning and Neural Architecture Search
(Google's technology for finding, generating, evaluating, and training numerous neural
architectures to automatically select a solution for the customer's application):
Cloud AutoML Vision is a simple and flexible machine learning service that lets businesses
and developers with limited machine learning expertise train custom and scalable vision
models for their own use cases.
Cloud AutoML Natural Language enables customers to categorize input text into their own
custom defined labels (supervised classification). Users can customize models to their own
domain or use case.
Cloud AutoML Translation is a simple and scalable translation solution that allows businesses
and developers with limited machine learning expertise to customize the Google Neural
Machine Translation (GNMT) model for their own domain or use-case.
by Joseph Amrith Raj
73. Google Cloud Text-to-Speech
synthesizes human-like speech based on input text in a variety of voices
and languages.
by Joseph Amrith Raj
74. Google Dialogflow Enterprise Edition
Dialogflow Enterprise Edition is a development suite for voice and text
conversational apps including chatbots.
Dialogflow is cross-platform and can connect to your own apps (on the web,
Android, iOS, and IoT) or existing platforms (e.g., Actions on Google, Facebook
Messenger, Slack).
Dialogflow Enterprise Edition is the paid enterprise tier of Dialogflow standard edition
by Joseph Amrith Raj
75. Google Cloud Natural Language
Google Cloud Natural Language provides powerful natural language
understanding as an easy to use API.
This API enables application developers to answer the following questions:
1) What are the entities referred to in the block of text?;
2) What is the sentiment (positive or negative) for this block of text?;
3) What is the language of this block of text?;
4) What is the syntax for this block of text (including parts of speech and dependency
trees)? Users can call this API by passing in a block of text or by referring to a
document in Google Cloud Storage.
by Joseph Amrith Raj
76. Google Cloud Speech-to-Text
Google Cloud Speech-to-Text allows developers to convert audio to text
by applying powerful neural network models in an easy to use API.
by Joseph Amrith Raj
77. Google Cloud Video Intelligence
Google Cloud Video Intelligence makes videos searchable, and
discoverable, by extracting metadata with an easy to use REST API.
It quickly annotates videos stored in Google Cloud Storage, and helps you
identify key noun entities of your video and when they occur within the video.
by Joseph Amrith Raj
78. Google Cloud Vision
Google Cloud Vision enables developers to understand the content of an
image by encapsulating powerful machine learning models in an easy to
use API.
It quickly classifies images into thousands of categories (e.g., "sailboat", "lion",
"Eiffel Tower"), detects individual objects and faces within images, and finds
and reads printed words contained within images. You can build metadata on
your image catalogue, moderate offensive content, or enable new marketing
scenarios through image sentiment analysis. You can also analyse images
uploaded in the request and integrate with your image storage on Google
Cloud Storage.
by Joseph Amrith Raj
80. Google Cloud Identity Management
is administrative features made available to Customer within the Admin
Console for the management of Google-hosted accounts, mobile
devices, and application within the Customer’s domain. Advanced
security and control features may be subject to an additional charge.
by Joseph Amrith Raj
81. Google Contacts
Is a web-based service that allows End Users to import, store, and view
contact information, and create groups of contacts.
by Joseph Amrith Raj
82. Google Groups for Business
is a web-based service that allows End Users to create and manage
collaborative groups, including viewing and searching group discussion
archives.
by Joseph Amrith Raj
83. Google Cloud Identity Editions
Cloud Identity - Free is an edition of Cloud Identity comprised of the
Cloud Identity Core Services available to Customer at no cost.
Cloud Identity - Premium is a paid edition of Cloud Identity comprised of
the Cloud Identity Core Services (as described above) and including
additional advanced security and control features for Administrators.
by Joseph Amrith Raj
84. About Author
Originally made available @
www.thecloudsolutionarchitect.word
press.com , by Joseph Amrith Raj
Joseph is a Cloud, Infra and DevOps
systems consultant with 13 years of
experience. Joseph has worked for
major banking clients across the
globe. Joseph’s contributions to the
cloud and middleware communities
have been recognized by IBM though
their annual ‘Champion’ award.
You can reach him @
THECLOUDSOLUTIONARCHITECT@OUTL
OOK.COM
by Joseph Amrith Raj