A framework to classify cloud computing platforms, through all the layers starting with physical hardware to software applications, along with examples
Open source big data landscape and possible ITS applicationsSoftwareMill
What is big data, and how open-source big data projects, such as Apache Spark, Kafka and Cassandra can be used in ITS (Intelligent Transport Systems) related projects.
Scylla Summit 2018: Scaling your time series data with NewtsScyllaDB
Today's datasets are growing at an exponential rate. Collection, storage, analysis, and reporting are becoming more challenging, and the results more valued. A decade ago, RRDTool's algorithms were well-suited to our requirements, but they fall short of scaling to current demands. A new direction is needed, one that prioritizes write-optimized storage, and that scales beyond a single host.
This presentation will provide an overview of Newts, a distributed time-series data store based on ScyllaDB, show how it compares to other solutions, and take a look at how it is integrated in OpenNMS.
Migrating Data Pipeline from MongoDB to CassandraDemi Ben-Ari
MongoDB is a great NoSQL database, it’s very flexible and easy to use,
but would it handle massive Read / Write throughput?
actually, what happens when you need to scale everything out and easily?
We will lay out the reasons and the steps of migrating our data pipeline to Apache Cassandra in a short period without having any prior knowledge.
We’ll list our lessons learned as well.
Bio:
Demi Ben-Ari, Sr. Data Engineer @Windward,
I have over 9 years of experience in building various systems both from the field of near real time applications and Big Data distributed systems.
Co-Organizer of the “Big Things” Big Data community:http://somebigthings.com/big-things-intro/
Exploring Alluxio for Daily Tasks at RobinhoodAlluxio, Inc.
This document discusses Robinhood's use of Alluxio to improve the performance of their data analytics workflows. It describes Robinhood's data lake architecture and daily traffic patterns, including ad-hoc visualizations queries, data analysis jobs, and report generations. The document notes limitations with their previous approach of reading directly from S3, including slow and unstable reads. It then outlines how Alluxio helps by caching frequently used data to improve read speeds by 30-50% and reduce total data scanned. Technical challenges of reading cold data and handling large schemas and tables are also mentioned. Overall, Alluxio provided a 30% performance improvement for their data-intensive queries.
MongoDB vs Scylla: Production Experience from Both Dev & Ops Standpoint at Nu...ScyllaDB
This document compares MongoDB and ScyllaDB databases. It discusses their histories, architectures, data models, querying capabilities, consistency handling, and scaling approaches. It also provides takeaways for operations teams and developers, noting that ScyllaDB favors consistent performance over flexibility while MongoDB is more flexible but sacrifices some performance. The document also outlines how a company called Numberly uses both MongoDB and ScyllaDB for different use cases.
MariaDB can be deployed on Microsoft Azure in several configurations:
- As a standalone MariaDB server virtual machine for basic use cases.
- As a MariaDB Galera cluster with MaxScale for high availability and scaling across multiple nodes.
- As a preconfigured MariaDB enterprise cluster and MaxScale solution that can be deployed in about 15 minutes for production use.
- Through the Azure Marketplace or programmatically from the command line.
- Common configurations provide options for storage, compute resources, networking, and accessibility.
Open source big data landscape and possible ITS applicationsSoftwareMill
What is big data, and how open-source big data projects, such as Apache Spark, Kafka and Cassandra can be used in ITS (Intelligent Transport Systems) related projects.
Scylla Summit 2018: Scaling your time series data with NewtsScyllaDB
Today's datasets are growing at an exponential rate. Collection, storage, analysis, and reporting are becoming more challenging, and the results more valued. A decade ago, RRDTool's algorithms were well-suited to our requirements, but they fall short of scaling to current demands. A new direction is needed, one that prioritizes write-optimized storage, and that scales beyond a single host.
This presentation will provide an overview of Newts, a distributed time-series data store based on ScyllaDB, show how it compares to other solutions, and take a look at how it is integrated in OpenNMS.
Migrating Data Pipeline from MongoDB to CassandraDemi Ben-Ari
MongoDB is a great NoSQL database, it’s very flexible and easy to use,
but would it handle massive Read / Write throughput?
actually, what happens when you need to scale everything out and easily?
We will lay out the reasons and the steps of migrating our data pipeline to Apache Cassandra in a short period without having any prior knowledge.
We’ll list our lessons learned as well.
Bio:
Demi Ben-Ari, Sr. Data Engineer @Windward,
I have over 9 years of experience in building various systems both from the field of near real time applications and Big Data distributed systems.
Co-Organizer of the “Big Things” Big Data community:http://somebigthings.com/big-things-intro/
Exploring Alluxio for Daily Tasks at RobinhoodAlluxio, Inc.
This document discusses Robinhood's use of Alluxio to improve the performance of their data analytics workflows. It describes Robinhood's data lake architecture and daily traffic patterns, including ad-hoc visualizations queries, data analysis jobs, and report generations. The document notes limitations with their previous approach of reading directly from S3, including slow and unstable reads. It then outlines how Alluxio helps by caching frequently used data to improve read speeds by 30-50% and reduce total data scanned. Technical challenges of reading cold data and handling large schemas and tables are also mentioned. Overall, Alluxio provided a 30% performance improvement for their data-intensive queries.
MongoDB vs Scylla: Production Experience from Both Dev & Ops Standpoint at Nu...ScyllaDB
This document compares MongoDB and ScyllaDB databases. It discusses their histories, architectures, data models, querying capabilities, consistency handling, and scaling approaches. It also provides takeaways for operations teams and developers, noting that ScyllaDB favors consistent performance over flexibility while MongoDB is more flexible but sacrifices some performance. The document also outlines how a company called Numberly uses both MongoDB and ScyllaDB for different use cases.
MariaDB can be deployed on Microsoft Azure in several configurations:
- As a standalone MariaDB server virtual machine for basic use cases.
- As a MariaDB Galera cluster with MaxScale for high availability and scaling across multiple nodes.
- As a preconfigured MariaDB enterprise cluster and MaxScale solution that can be deployed in about 15 minutes for production use.
- Through the Azure Marketplace or programmatically from the command line.
- Common configurations provide options for storage, compute resources, networking, and accessibility.
ClustrixDB: how distributed databases scale outMariaDB plc
ClustrixDB, now part of MariaDB, is a fully distributed and transactional RDBMS for applications with the highest scalability requirements. In this session Robbie Mihalyi, VP of Engineering for ClustrixDB, provides an introduction to ClustrixDB, followed by an in-depth technical overview of its architecture, with a focus on distributed storage, transactions and query processing – and its unique approach to index partitioning.
DynomiteDB is a high performance Dynamo layer that adds data replication and sharding to Redis and other single-server storage engines, plus the ability to scale linearly, high availability via a shared nothing architecture with no single point of failure (SPOF), and support for 1000+ node clusters that span multiple data centers.
SQL, NoSQL, Distributed SQL: Choose your DataStore carefullyMd Kamaruzzaman
In modern Software Development and Software Architecture, selecting the right DataStore is one of the most challenging and important task. In this presentation, I have summarized the major DataStores and the decision criteria to select the right DataStore according to the use case.
Presto talk @ Global AI conference 2018 Bostonkbajda
Presented at Global AI Conference in Boston 2018:
http://www.globalbigdataconference.com/boston/global-artificial-intelligence-conference-106/speaker-details/kamil-bajda-pawlikowski-62952.html
Presto, an open source distributed SQL engine, is widely recognized for its low-latency queries, high concurrency, and native ability to query multiple data sources. Proven at scale in a variety of use cases at Facebook, Airbnb, Netflix, Uber, Twitter, LinkedIn, Bloomberg, and FINRA, Presto experienced an unprecedented growth in popularity in both on-premises and cloud deployments in the last few years. Presto is really a SQL-on-Anything engine in a single query can access data from Hadoop, S3-compatible object stores, RDBMS, NoSQL and custom data stores. This talk will cover some of the best use cases for Presto, recent advancements in the project such as Cost-Based Optimizer and Geospatial functions as well as discuss the roadmap going forward.
Couchbase is an open source NoSQL document database that provides a fully functional document store without a predefined schema. It uses buckets as containers for data storage and replication. Couchbase is considered a CP system that prioritizes consistency and partition tolerance within a cluster, but can provide AP capabilities across data centers using its Cross Datacentre Replication (XDCR) feature. Key aspects of Couchbase include buckets for logical data grouping, flexible document storage using JSON, and auto-sharding and replication of data for high availability.
HBaseCon2017 Splice Machine as a Service: Multi-tenant HBase using DCOS (Meso...HBaseCon
Splice Machine is a hybrid relational database management system (RDBMS) that allows for both online transaction processing (OLTP) and online analytical processing (OLAP) without the need for separate systems. It provides ANSI SQL support and transactional consistency for massive amounts of data while offering 10x faster performance at 1/4 the cost of other systems. Splice Machine can be deployed on-premises or in the cloud as a fully managed database as a service using the DC/OS platform, which provides container orchestration using Mesos and Docker along with networking and storage integration using CNI and RexRay.
How Alibaba Cloud scaled ApsaraDB with MariaDB MaxScaleMariaDB plc
ApsaraDB is the leading cloud database in China with millions of database instances are running on it. However, the diversity and complexity of the mission-critical applications using it brought a huge challenge to ApsaraDB, scalability – a long-time pain point. To solve the problem, in middle of 2018 and after a careful evaluation, an elegant solution was found in MariaDB MaxScale. So far, the deep synergy of MariaDB MaxScale and ApsaraDB has proved very successful as thousands of high-demand customers of ApsaraDB are benefiting from a much-improved experience. In this presentation, we are going to share following topics:
- How ApsaraDB is using MariaDB MaxScale
- Best practices when leveraging MariaDB MaxScale with ApsaraDB
- Next steps and future plans for for MariaDB MaxScale and ApsaraDB
In 2018's user conference keynote MariaDB CEO, Michael Howard, announced an initiative to build a MariaDB DBaaS platform. In this session, the DBaaS team shares how MariaDB is approaching DBaaS, then discusses the role of containers and Kubernetes, the need for infrastructure-agnostic provisioning, support for day-two operations and enterprise requirements for large-scale DBaaS deployments.
TiDB Introduction - Boston MySQL Meetup GroupMorgan Tocker
This document provides an overview and summary of TiDB, an open-source distributed SQL database inspired by Google's Spanner and F1. The summary includes:
1. TiDB is a distributed SQL database that is compatible with MySQL and provides horizontal scalability, high availability, and strong consistency with a hybrid OLTP/OLAP architecture.
2. It consists of TiDB, TiKV, and PD components where TiDB is the frontend MySQL compatible database layer, TiKV is the distributed key-value storage layer, and PD is the placement driver for metadata management.
3. TiDB is being used by over 300 companies including Mobike for applications such as real-time analytics, high concurrency
Big Data in 200 km/h | AWS Big Data Demystified #1.3 Omid Vahdaty
What we're about
A while ago I entered the challenging world of Big Data. As an engineer, at first, I was not so impressed with this field. As time went by, I realised more and more, The technological challenges in this area are too great to master by one person. Just look at the picture in this articles, it only covers a small fraction of the technologies in the Big Data industry…
Consequently, I created a meetup detailing all the challenges of Big Data, especially in the world of cloud. I am using AWS infrastructure to answer the basic questions of anyone starting their way in the big data world.
how to transform data (TXT, CSV, TSV, JSON) into Parquet, ORCwhich technology should we use to model the data ? EMR? Athena? Redshift? Spectrum? Glue? Spark? SparkSQL?how to handle streaming?how to manage costs?Performance tips?Security tip?Cloud best practices tips?
Some of our online materials:
Website:
https://big-data-demystified.ninja/
Youtube channels:
https://www.youtube.com/channel/UCzeGqhZIWU-hIDczWa8GtgQ?view_as=subscriber
https://www.youtube.com/channel/UCMSdNB0fGmX5dXI7S7Y_LFA?view_as=subscriber
Meetup:
https://www.meetup.com/AWS-Big-Data-Demystified/
https://www.meetup.com/Big-Data-Demystified
Facebook Group :
https://www.facebook.com/groups/amazon.aws.big.data.demystified/
Facebook page (https://www.facebook.com/Amazon-AWS-Big-Data-Demystified-1832900280345700/)
Audience:
Data Engineers
Data Science
DevOps Engineers
Big Data Architects
Solution Architects
CTO
VP R&D
Building tiered data stores using aesop to bridge sql and no sql systemsRegunath B
Slides from my talk on building tiered data stores using Aesop to bridge SQL and NoSQL data stores. Aesop is a pub-sub like change data capture and propagation system.
MongoDB is an open source document-oriented database that uses a flexible document data model. It stores data in flexible, JSON-like documents with optional schemas, and allows dynamic queries against documents. Like other NoSQL databases, MongoDB supports dynamic schema design and is horizontally scalable by adding more servers.
Kdb+ is a database and analytics software designed for processing large, diverse financial and market data in real-time. It uses the q programming language which allows for less code and faster execution compared to other languages. Kdb+ includes components for ingesting data from multiple sources, storing real-time and historical data, performing analytics using triggers without slowing performance, and returning query results in various formats. The q language provides SQL-like and time series querying capabilities along with built-in functions to minimize programming and data transferred over networks for efficient analytics. Users can get started with kdb+ by downloading and installing it, then executing queries from the command line or IDE.
KDB database (EPAM tech talks, Sofia, April, 2015)Martin Toshev
KDB is an in-memory column-oriented database that provides high-performance for real-time and historical large volumes of data. It is used widely in the financial industry. KDB supports the Q programming language for querying and manipulating data, and can be deployed in a distributed environment. The Java API provides simple connection and query methods to access a KDB database. KDB is well-suited for use cases involving capturing market data feeds and analyzing FIX messages.
Alluxio+Presto: An Architecture for Fast SQL in the CloudAlluxio, Inc.
Alluxio is a virtual distributed file system that serves as a data access layer between applications and storage systems. It provides a unified interface, improved performance through caching, and enables transparent migration between storage systems. Alluxio deployed with Presto on cloud storage like S3 can provide 5x faster query performance through caching query data in Alluxio workers located with compute. Case studies show how Alluxio improved response times for analytics workloads at large companies by eliminating remote data access and enabling data locality.
Scylla Summit 2022: New AWS Instances Perfect for ScyllaDBScyllaDB
In this talk AWS’ Ken Krupa, Head of Specialized Solutions Architecture, will describe the architecture and capabilities of two new AWS EC2 instance types perfect for data-intensive storage and IO-heavy workloads like ScyllaDB: the Intel-based I4i and the Graviton2-based I4g series.
The Intel Xeon Ice Lake-based I4i series provides unparalleled raw horsepower for your most demanding workloads. Meanwhile, the Graviton2-powered I4g instances provide lower cost per storage on a power-efficient platform to deploy your cloud-native applications.
Ken will also describe the AWS Nitro SSD, a new form of high-speed NVMe storage with a Flash Translation Layer built with Nitro controllers, which powers both of these instance families.
ScyllaDB VP of Product Tzach Livyatan will then share benchmarking results showing how ScyllaDB behaves under load on these two instance types, providing maximum system utility and efficiency.
To watch all of the recordings hosted during Scylla Summit 2022 visit our website here: https://www.scylladb.com/summit.
GlusterFS is an open-source clustered file system that aggregates disk resources from multiple servers into a single global namespace. It scales to several petabytes and thousands of clients. GlusterFS clusters storage over RDMA or TCP/IP, managing data through a unified namespace. Its stackable userspace design delivers high performance for diverse workloads.
The document describes a complex sales workflow model for managing a complex sales process. It includes milestones, roles, and templates to map the process. It also describes a shared workspace to track progress, store documents and activity logs. Prioritized reports include alerts, funnel reports to identify where leads are getting stuck in the process, and metrics to understand why leads are getting stuck. Screenshots show what the shared workspace and reports may look like. It concludes by describing options for a quick start, consulting, or full implementation of the workflow model and system.
The Business Process Council has been formed with a mission to collect, produce, and enhance a common body of knowledge of Business Processes; and with it, to assist Industry to achieve productivity faster, and to assist Professionals to boost career prospects.
ClustrixDB: how distributed databases scale outMariaDB plc
ClustrixDB, now part of MariaDB, is a fully distributed and transactional RDBMS for applications with the highest scalability requirements. In this session Robbie Mihalyi, VP of Engineering for ClustrixDB, provides an introduction to ClustrixDB, followed by an in-depth technical overview of its architecture, with a focus on distributed storage, transactions and query processing – and its unique approach to index partitioning.
DynomiteDB is a high performance Dynamo layer that adds data replication and sharding to Redis and other single-server storage engines, plus the ability to scale linearly, high availability via a shared nothing architecture with no single point of failure (SPOF), and support for 1000+ node clusters that span multiple data centers.
SQL, NoSQL, Distributed SQL: Choose your DataStore carefullyMd Kamaruzzaman
In modern Software Development and Software Architecture, selecting the right DataStore is one of the most challenging and important task. In this presentation, I have summarized the major DataStores and the decision criteria to select the right DataStore according to the use case.
Presto talk @ Global AI conference 2018 Bostonkbajda
Presented at Global AI Conference in Boston 2018:
http://www.globalbigdataconference.com/boston/global-artificial-intelligence-conference-106/speaker-details/kamil-bajda-pawlikowski-62952.html
Presto, an open source distributed SQL engine, is widely recognized for its low-latency queries, high concurrency, and native ability to query multiple data sources. Proven at scale in a variety of use cases at Facebook, Airbnb, Netflix, Uber, Twitter, LinkedIn, Bloomberg, and FINRA, Presto experienced an unprecedented growth in popularity in both on-premises and cloud deployments in the last few years. Presto is really a SQL-on-Anything engine in a single query can access data from Hadoop, S3-compatible object stores, RDBMS, NoSQL and custom data stores. This talk will cover some of the best use cases for Presto, recent advancements in the project such as Cost-Based Optimizer and Geospatial functions as well as discuss the roadmap going forward.
Couchbase is an open source NoSQL document database that provides a fully functional document store without a predefined schema. It uses buckets as containers for data storage and replication. Couchbase is considered a CP system that prioritizes consistency and partition tolerance within a cluster, but can provide AP capabilities across data centers using its Cross Datacentre Replication (XDCR) feature. Key aspects of Couchbase include buckets for logical data grouping, flexible document storage using JSON, and auto-sharding and replication of data for high availability.
HBaseCon2017 Splice Machine as a Service: Multi-tenant HBase using DCOS (Meso...HBaseCon
Splice Machine is a hybrid relational database management system (RDBMS) that allows for both online transaction processing (OLTP) and online analytical processing (OLAP) without the need for separate systems. It provides ANSI SQL support and transactional consistency for massive amounts of data while offering 10x faster performance at 1/4 the cost of other systems. Splice Machine can be deployed on-premises or in the cloud as a fully managed database as a service using the DC/OS platform, which provides container orchestration using Mesos and Docker along with networking and storage integration using CNI and RexRay.
How Alibaba Cloud scaled ApsaraDB with MariaDB MaxScaleMariaDB plc
ApsaraDB is the leading cloud database in China with millions of database instances are running on it. However, the diversity and complexity of the mission-critical applications using it brought a huge challenge to ApsaraDB, scalability – a long-time pain point. To solve the problem, in middle of 2018 and after a careful evaluation, an elegant solution was found in MariaDB MaxScale. So far, the deep synergy of MariaDB MaxScale and ApsaraDB has proved very successful as thousands of high-demand customers of ApsaraDB are benefiting from a much-improved experience. In this presentation, we are going to share following topics:
- How ApsaraDB is using MariaDB MaxScale
- Best practices when leveraging MariaDB MaxScale with ApsaraDB
- Next steps and future plans for for MariaDB MaxScale and ApsaraDB
In 2018's user conference keynote MariaDB CEO, Michael Howard, announced an initiative to build a MariaDB DBaaS platform. In this session, the DBaaS team shares how MariaDB is approaching DBaaS, then discusses the role of containers and Kubernetes, the need for infrastructure-agnostic provisioning, support for day-two operations and enterprise requirements for large-scale DBaaS deployments.
TiDB Introduction - Boston MySQL Meetup GroupMorgan Tocker
This document provides an overview and summary of TiDB, an open-source distributed SQL database inspired by Google's Spanner and F1. The summary includes:
1. TiDB is a distributed SQL database that is compatible with MySQL and provides horizontal scalability, high availability, and strong consistency with a hybrid OLTP/OLAP architecture.
2. It consists of TiDB, TiKV, and PD components where TiDB is the frontend MySQL compatible database layer, TiKV is the distributed key-value storage layer, and PD is the placement driver for metadata management.
3. TiDB is being used by over 300 companies including Mobike for applications such as real-time analytics, high concurrency
Big Data in 200 km/h | AWS Big Data Demystified #1.3 Omid Vahdaty
What we're about
A while ago I entered the challenging world of Big Data. As an engineer, at first, I was not so impressed with this field. As time went by, I realised more and more, The technological challenges in this area are too great to master by one person. Just look at the picture in this articles, it only covers a small fraction of the technologies in the Big Data industry…
Consequently, I created a meetup detailing all the challenges of Big Data, especially in the world of cloud. I am using AWS infrastructure to answer the basic questions of anyone starting their way in the big data world.
how to transform data (TXT, CSV, TSV, JSON) into Parquet, ORCwhich technology should we use to model the data ? EMR? Athena? Redshift? Spectrum? Glue? Spark? SparkSQL?how to handle streaming?how to manage costs?Performance tips?Security tip?Cloud best practices tips?
Some of our online materials:
Website:
https://big-data-demystified.ninja/
Youtube channels:
https://www.youtube.com/channel/UCzeGqhZIWU-hIDczWa8GtgQ?view_as=subscriber
https://www.youtube.com/channel/UCMSdNB0fGmX5dXI7S7Y_LFA?view_as=subscriber
Meetup:
https://www.meetup.com/AWS-Big-Data-Demystified/
https://www.meetup.com/Big-Data-Demystified
Facebook Group :
https://www.facebook.com/groups/amazon.aws.big.data.demystified/
Facebook page (https://www.facebook.com/Amazon-AWS-Big-Data-Demystified-1832900280345700/)
Audience:
Data Engineers
Data Science
DevOps Engineers
Big Data Architects
Solution Architects
CTO
VP R&D
Building tiered data stores using aesop to bridge sql and no sql systemsRegunath B
Slides from my talk on building tiered data stores using Aesop to bridge SQL and NoSQL data stores. Aesop is a pub-sub like change data capture and propagation system.
MongoDB is an open source document-oriented database that uses a flexible document data model. It stores data in flexible, JSON-like documents with optional schemas, and allows dynamic queries against documents. Like other NoSQL databases, MongoDB supports dynamic schema design and is horizontally scalable by adding more servers.
Kdb+ is a database and analytics software designed for processing large, diverse financial and market data in real-time. It uses the q programming language which allows for less code and faster execution compared to other languages. Kdb+ includes components for ingesting data from multiple sources, storing real-time and historical data, performing analytics using triggers without slowing performance, and returning query results in various formats. The q language provides SQL-like and time series querying capabilities along with built-in functions to minimize programming and data transferred over networks for efficient analytics. Users can get started with kdb+ by downloading and installing it, then executing queries from the command line or IDE.
KDB database (EPAM tech talks, Sofia, April, 2015)Martin Toshev
KDB is an in-memory column-oriented database that provides high-performance for real-time and historical large volumes of data. It is used widely in the financial industry. KDB supports the Q programming language for querying and manipulating data, and can be deployed in a distributed environment. The Java API provides simple connection and query methods to access a KDB database. KDB is well-suited for use cases involving capturing market data feeds and analyzing FIX messages.
Alluxio+Presto: An Architecture for Fast SQL in the CloudAlluxio, Inc.
Alluxio is a virtual distributed file system that serves as a data access layer between applications and storage systems. It provides a unified interface, improved performance through caching, and enables transparent migration between storage systems. Alluxio deployed with Presto on cloud storage like S3 can provide 5x faster query performance through caching query data in Alluxio workers located with compute. Case studies show how Alluxio improved response times for analytics workloads at large companies by eliminating remote data access and enabling data locality.
Scylla Summit 2022: New AWS Instances Perfect for ScyllaDBScyllaDB
In this talk AWS’ Ken Krupa, Head of Specialized Solutions Architecture, will describe the architecture and capabilities of two new AWS EC2 instance types perfect for data-intensive storage and IO-heavy workloads like ScyllaDB: the Intel-based I4i and the Graviton2-based I4g series.
The Intel Xeon Ice Lake-based I4i series provides unparalleled raw horsepower for your most demanding workloads. Meanwhile, the Graviton2-powered I4g instances provide lower cost per storage on a power-efficient platform to deploy your cloud-native applications.
Ken will also describe the AWS Nitro SSD, a new form of high-speed NVMe storage with a Flash Translation Layer built with Nitro controllers, which powers both of these instance families.
ScyllaDB VP of Product Tzach Livyatan will then share benchmarking results showing how ScyllaDB behaves under load on these two instance types, providing maximum system utility and efficiency.
To watch all of the recordings hosted during Scylla Summit 2022 visit our website here: https://www.scylladb.com/summit.
GlusterFS is an open-source clustered file system that aggregates disk resources from multiple servers into a single global namespace. It scales to several petabytes and thousands of clients. GlusterFS clusters storage over RDMA or TCP/IP, managing data through a unified namespace. Its stackable userspace design delivers high performance for diverse workloads.
The document describes a complex sales workflow model for managing a complex sales process. It includes milestones, roles, and templates to map the process. It also describes a shared workspace to track progress, store documents and activity logs. Prioritized reports include alerts, funnel reports to identify where leads are getting stuck in the process, and metrics to understand why leads are getting stuck. Screenshots show what the shared workspace and reports may look like. It concludes by describing options for a quick start, consulting, or full implementation of the workflow model and system.
The Business Process Council has been formed with a mission to collect, produce, and enhance a common body of knowledge of Business Processes; and with it, to assist Industry to achieve productivity faster, and to assist Professionals to boost career prospects.
Content Marketing - Bridging the Brand to Customer GapJoe Hines
This document discusses content marketing and how to build an effective content marketing strategy. It emphasizes understanding both yourself and your target customers, including their needs and journey. It recommends acting as a sherpa to guide customers through their decision making process using a variety of content types and channels. The key is to evaluate whether your brand is a good match for potential customers and identify where your target audience spends time online in order to effectively reach them.
This presentation is by Professor Joe Hines, professor of marketing at Concordia, Fullerton College, Whittier College, and Cal State Fullerton. Joe also owns a content marketing practice called A-Cubed Marketing in Orange County, California.
This document discusses the importance of personal branding and outlines the key components that make up a personal brand, including values, drivers, reputation, behaviors, skills/strengths, and image. It emphasizes that your personal brand is what others say about you when you are not present and encourages the reader to develop their brand in a way that reflects their authentic self.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
Increase your Customers' Lifetime ValueNextBee Media
Customers' lifetime value can be increased by segmenting customers based on buying patterns and reward preferences, targeting specific segments with customized offers and incentives, and planning re-engagement efforts at key points to lengthen the customer relationship through rewards and continued guidance along an engagement path.
The document provides 11 tips for managing cash flow as a startup: 1) Improve cash flow by taking in more money than spending until revenue grows; 2) Avoid unnecessary financial commitments when cash is low by leasing instead of buying and bartering when possible; 3) Treat variable costs carefully as the founders are personally funding the business; 4) Share office space or work from an incubator to reduce costs; 5) Buy used office equipment when purchases are necessary; 6) Extend the life of technology by 6 months; 7) Partner with local schools for free student interns; 8) Regularly renegotiate service fees; 9) Hold virtual meetings instead of traveling; 10) Seek providers experienced with startups;
The document discusses strategies for sales acceleration by focusing on adding value to customers rather than just selling products. It recommends approaching customers with ways to improve their revenue and business metrics. Key points include qualifying prospects upfront, conducting proof of concept projects to demonstrate value, customizing solutions based on customer needs, and establishing a long-term partnership to continuously improve the customer's business.
This document provides guidance on how to run a business like a "business" by establishing key foundational elements including:
1. Core values and purpose to guide the business and provide overarching goals.
2. Big hairy audacious goals and targets for 3-5 years in the future to aim for including revenues, profits, and market share.
3. Annual, quarterly, and monthly goals and initiatives to work towards the long term targets, along with key performance indicators to track progress.
The document recommends setting goals and action plans at various levels, celebrating successes, and ensuring accountability to provide structure and drive the business forward over time.
The document outlines a strategic planning process including analysis, planning, and execution phases. The analysis phase involves assessing 6 elements: capabilities, vision, market, numbers, people, and processes. The planning phase focuses on setting written goals, developing people, sales/marketing plans, measurement, and innovation. Finally, the execution phase discusses implementing the plan through 90-day plans, communication, accountability partners, and weekly meetings.
Persuasion is a powerful force in daily life and has a major influence on society as a whole .
Politics, legal decisions, mass media, news and advertising are all influenced by the power of persuasion, and influence us in turn.
Hence need for its understanding
The document provides tips and strategies for persuading an audience through marketing techniques. It suggests using testimonials from satisfied customers to show people similar to the target audience have enjoyed the product. It also advises praising past decisions to emphasize consistent values. Additionally, the document notes that people prefer others who are similar and attractive to them, and that marketers should highlight how their product or service addresses the audience's needs and challenges.
Part of the #AETCWorkshop series looking at upselling.
Designed and delivered to an international audience of business owners in Tallinn, Estonia.
For all enquires contact Richard.Brooks@k-international.com
This document discusses creating "Hubers", which are sales representatives that can access all customer and inventory data from their mobile devices. Currently, sales and rental data is siloed in different systems. The document proposes a mobile app called "GroundBreak Mobile" that would aggregate data from various CRM, ERP, and inventory systems. This would allow salespeople like Dave to view all customer service issues, check equipment availability, and generate quotes from their mobile devices, like an "Uber for equipment sales and rentals". The software company GroundBreak is pitching their mobile solution to help dealers break down data silos and give sales reps a single view of the customer.
This document discusses strategies for complex sales, including prospecting, presenting, forecasting, closing, and follow up. It emphasizes the importance of targeting the right markets and using personas to understand who is most likely to buy. When prospecting, the best approach is to spend time with people and organizations that are most likely to purchase, rather than trying to sell to everyone. Cold calling, trade shows, and social media should be used to start relevant discussions rather than just advertise. The goal is to qualify 10% of suspects as prospects, 10% of prospects as qualified leads, get 10% of those to a presentation, and close 10% of presentations.
Platform as a Service (PaaS) - A cloud service for Developers Ravindra Dastikop
Cloud Computing offers three fundamental categories of Services- namely IaaS, PaaS and SaaS. In this presentation, Platform as a Service is discussed. PaaS is a service aimed at developers and it enables them to design, develop and deploy applications on Cloud platforms
The document discusses public cloud computing concepts including cloud infrastructure, services, and architectures. Some key points:
- Cloud provides on-demand access to computing resources like servers and storage over the internet. Major cloud providers include AWS, Azure, and Google Cloud.
- Cloud services include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Function as a Service (FaaS).
- Microservices architecture breaks applications into small, independent services that communicate over the network. This allows independent scaling and improves resilience.
- Auto scaling helps automatically scale cloud resources like servers up and down based on demand to optimize costs and performance.
Cloud Native Applications on OpenShiftSerhat Dirik
This document discusses cloud native development and DevOps using OpenShift Container Platform. It begins by defining cloud native as involving both application architecture and the development, deployment and management processes used. It then discusses how containers evolve application delivery and how container platforms are part of the DevOps tool kit. The document outlines the path to DevOps, emphasizing culture, automation and using the right platform. It also notes that DevOps and containers often go hand in hand, with many DevOps adopters using containers. The document then discusses various capabilities of OpenShift and how it supports cloud native development.
This document discusses several Platform as a Service (PaaS) alternatives for .NET applications. It describes what PaaS is and some of the challenges it presents. It then evaluates several specific PaaS options for .NET including Apprenda, CloudFoundry, Uhuru, Tier3, AppHarbor, and AWS Elastic Beanstalk. It concludes that Windows Azure is still the best public PaaS for .NET, but that CloudFoundry-based private PaaS solutions are worth considering to avoid vendor lock-in.
There is no doubt that Openstack represents one of the massive industry alignment towards the Open source cloud, Some even touting it to be the linux of cloud computing. But is it “THE” perfect solution ?
Vanilla Openstack is a “Myth”
The choice of Openstack as part of your cloud strategy purely depends on the kind of workload and the add-on features.
Openstack can be a serious contender especially for fresh deployments and applications that are being architected for cloud. But as the environment gets diverse(legacy integrations) Openstack can be tricky to integrate and maintain
One might require a vendor based Cloud management platform especially when the cloud strategy involves public clouds(AWS, Azure, GCE) and migration of application services across
No doubt it is fully open source, but it comes with learning curve, release cycles, Vendor specific driver integrations etc.
Interesting developments with respect to containers, docker, Kubernetes, Mesosphere etc will challenge Openstack
Openstack will no doubt will grow mature over next couple of years, until then, the hunt for the CMP continues...
Topics of interest :
to build a true hyper converged cloud ?
as an enterprise cloud management platform ?
public cloud ? (as a CSP)
Telco carrier grade cloud ?
VNF, MANO and SDN integrations
Apache Stratos - Building a PaaS using OSGi and EquinoxPaul Fremantle
Apache Stratos is a PaaS built on top of Equinox and OSGi. Stratos runs all kinds of workloads including Java, OSGi, Tomcat apps, PHP, Node.js, MySQL, Mongo, Cassandra and others.
This session is an introduction to Stratos which will cover:
- How to get started
- Deploying on Amazon AWS and OpenStack Clouds
- Workloads Stratos supports
- Why and how Equinox is used
- Multi-tenancy and security
- Elastic scaling
- How Stratos compares to other PaaS systems
The session will include live demontrations of Stratos.
The session is aimed at those interested in PaaS models, as well as those with a strong interest in OSGi runtimes and Equinox.
Moving Your Enterprise to the Cloud
The document discusses moving enterprise applications to the cloud. It identifies the needs of cloud computing like scalability and elasticity. It also discusses understanding existing applications and how their components can be deployed as cloud services. The document evaluates key features of PaaS cloud providers and implements a proof of concept using WSO2 Cloud to deploy applications. It highlights features of WSO2 Private PaaS like auto-scaling, multi-tenancy, and application lifecycle management.
마이크로소프트 애저 및 클라우드 트렌드 소개 (부제: Beyond IaaS)Ian Choi
- Microsoft Azure and cloud trends introduction. Azure is an innovative set of cloud services that go beyond infrastructure.
- The presenter Ian Choi introduces himself and his background which includes being a Microsoft manager and community contributions to open source projects.
- The presentation covers an introduction to Microsoft Azure cloud, cloud and serverless trends, 5 tips for quick Azure adoption, and conclusions.
cloudtrek provides private cloud solutions using Apache CloudStack and DynaScale's Orchestrator and Automater for automation. Their solution offers customers control, agility, and competitive pricing through features like bringing your own licenses, data center agnostic deployment, integration with storage platforms, automated deployment, and no additional costs for technology refreshes after 3 years. Their private cloud is built from modular building blocks that can be scaled up through the addition of compute and storage nodes.
These slides were presented at the Red Hat "Achieving True Integration Agility with Microservices, Containers and API's" workshop in Santa Clara on 10/26
Red Hat's storage roadmap aims to offer a unified, open software-defined storage portfolio for next generation workloads. Their portfolio includes Ceph and Gluster storage, which provide data services like object storage, block storage, and file sharing on standard hardware. Red Hat is working to improve management, performance, security, and integration of these products. They are also exploring new workloads like running MySQL on Ceph block storage and using Gluster Storage for hyperconverged Red Hat Enterprise Virtualization environments.
Scenic City Summit (2021): Real-Time Streaming in any and all clouds, hybrid...Timothy Spann
Scenic city summit real-time streaming in any and all clouds, hybrid and beyond
24-September-2021. Scenic City Summit. Virtual. Real-Time Streaming in Any and All Clouds, Hybrid and Beyond
Apache Pulsar, Apache NiFi, Apache Flink
StreamNative
Tim Spann
https://sceniccitysummit.com/
Big data conference europe real-time streaming in any and all clouds, hybri...Timothy Spann
Biography
Tim Spann is a Principal DataFlow Field Engineer at Cloudera where he works with Apache NiFi, MiniFi, Pulsar, Apache Flink, Apache MXNet, TensorFlow, Apache Spark, big data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, distributed computing, streaming technologies, and Java programming. Previously, he was a senior solutions architect at AirisData and a senior field engineer at Pivotal. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton on big data, the IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as IoT Fusion, Strata, ApacheCon, Data Works Summit Berlin, DataWorks Summit Sydney, and Oracle Code NYC. He holds a BS and MS in computer science.
Talk
Real-Time Streaming in Any and All Clouds, Hybrid and Beyond
Today, data is being generated from devices and containers living at the edge of networks, clouds and data centers. We need to run business logic, analytics and deep learning at the scale and as events arrive.
Tools:
Apache Flink, Apache Pulsar, Apache NiFi, MiNiFi, DJL.ai Apache MXNet.
References:
https://www.datainmotion.dev/2019/11/introducing-mm-flank-apache-flink-stack.html
https://www.datainmotion.dev/2019/08/rapid-iot-development-with-cloudera.html
https://www.datainmotion.dev/2019/09/powering-edge-ai-for-sensor-reading.html
https://www.datainmotion.dev/2019/05/dataworks-summit-dc-2019-report.html
https://www.datainmotion.dev/2019/03/using-raspberry-pi-3b-with-apache-nifi.html
Source Code: https://github.com/tspannhw/MmFLaNK
FLiP Stack
StreamNative
OpenShift is a Platform-as-a-Service that provides development environments on demand using containers. It automates application lifecycles including build, deploy, and retirement. OpenShift uses containers to package applications and dependencies in a portable way. Red Hat addresses concerns around adopting containers at scale through OpenShift, which provides security, scalability, integration, management and certification capabilities. OpenShift runs on a user's choice of infrastructure and orchestrates applications across nodes using Kubernetes.
First steps into developing an application as a suite of small services, and analysis of tools and architecture approaches to be used.
Topics covered:
1) What is a micro service architecture
2)Advantages in code procedures, team dynamics and scaling
3) How container services such as docker assist in its implementation
4) How to deploy code in a micro services architecture
5) Container Management tools and resource efficiency (mesos, kubernetes, aws container service)
6) Scaling up
By PeoplePerHour team
presented by CTO Spyros Lambrinidis & Senior DevOps Panagiotis Moustafellos @ Docker Athens Meetup 18/02/2015
QCon SF 2014 - Create and Deploy APIs using Web IDEs, Open Source Frameworks ...Restlet
This presentation explains how to develop a Web API in Java using (JAX-RS or Restlet API)
make an up-to-date web API documentation available online during crafting
manage access to this web API, including client SDKs generation, access management, firewall and analytics.
We will demonstrate how Restlet Platform provides a comprehensive solution combining the best of open source (Restlet Framework) and PaaS (Restlet APISpark) to solve web API needs.
This document compares and contrasts the cloud platforms AWS, Azure, and GCP. It provides information on each platform's pillars of cloud services, regions and availability zones, instance types, databases, serverless computing options, networking, analytics and machine learning services, development tools, security features, and pricing models. Speakers then provide more details on their experience with each platform, highlighting key products, differences between the platforms, and positives and negatives of each from their perspective.
Private, Managed, Public - All Things WSO2 CloudWSO2
This document provides an overview of WSO2's cloud platform offerings, including private, managed, and public clouds. It describes WSO2's private PaaS/Apache Stratos platform which provides containerization, policy-based provisioning and scaling, and support for microservices and composite applications. The document also outlines WSO2's managed cloud offering which provides a dedicated deployment with an SLA, and public cloud offerings like App Factory for application development and API Manager as a service.
Similar to Accion Cloud in Practice - Cloud Comuting Platforms Classification (20)
This document discusses lead nurturing by outlining why it is important, how the process works, who is involved, and providing examples. It explains that lead nurturing maximizes sales output by balancing acquiring more leads with focusing on higher quality leads. The process involves content marketing to identify leads, conversation management to qualify them, and engagement tracking to move them through the sales funnel. It provides metrics showing the typical flow of visitors through identification, registration, presentations, and sign-ups. It concludes by inviting contact for more information on lead nurturing services.
Lead qualification - resolving the sales and marketing conflictAshutosh Bijoor
The document discusses the conflict between sales and marketing teams over lead qualification criteria. Marketing favors more lenient criteria to generate more leads, while sales prefers stricter criteria to get higher-quality leads and maintain conversion rates. This can be resolved by introducing a separate lead qualification process and nurturing non-qualified leads in a CRM system instead of dropping them, so that marketing goals are met without overloading the sales team. Both assumptions - that qualification must be done by either function and that non-qualified leads must be dropped - are invalid.
The challenges of managing a complex sales processAshutosh Bijoor
Is your sales process complex? Are you facing challenges in scaling up your sales process? What can you do about it?
These are some of the questions this presentation attempts to answer
This presentation describes the service oriented architecture of a salable web based workflow platform developed by Reach1to1 (http://www.reach1to1.com), and used in various products like On2Biz (http://www.on2.biz)
How can a business leverage the web? What can you do with your company web site? How can you measure the effectiveness of your web site? These are some of the questions that will be answered here.
This document introduces sales process automation and its benefits. It discusses how automating sales processes can help managers achieve more consistent sales performance by having online access to key sales data like calls, tasks, documents, and the sales pipeline. Some challenges of automation include managing change and potential resistance from salespeople. The document recommends addressing challenges through incremental change, optimizing existing information, top-down adoption with incentives, and ongoing training. A case study shows how one company overcame inconsistent performance through a two-year automation implementation that integrated systems and centralized management.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
5. Cloud Computing Layers
Software
(SaaS)
Platform
(PaaS)
Infrastructure
(IaaS)
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6. Infrastructure
(IaaS)
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● Servers
● Blade Servers
● HPC
● KVM Console Servers
● Routers
● Switches
● Cables
● SAN Storage
● SSD SAN Storage
● Virtual Tape Libs
● NAS
Users
System
Engineers
Physical Machines
Network
Hardware
Storage Devices
Examples
● Server providers like IBM,
HP, Dell etc.
● Hosting providers like
Rackspace offer servers
on rent
Examples
● Network equipment
providers like Cisco,
Avaya, Motorola etc.
● Hosting providers offer
bundled network services
Examples
● Storage equipment
providers like Dell, NEC,
EMC etc.
● Hosting providers offer
storage on rent
7. Infrastructure
(IaaS)
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● Virtual computing
units
● Pool of resources
from different servers
● Automatic load
balancing, higher
availability
● Decouples virtual
networks from
network hardware
● Provides higher
utilization, flexibility
● Easier management
of resources
● Decouples storage
volumes from physical
hardware
● Caching,
snapshotting, high
availability
● IO optimization
independent of
computing resources
Users
Infrastructure
Engineers
Virtual Machines
Software Defined
Network (SDN)
Software Defined
Storage (SDS)
Examples
● Open Stack Nova
● Amazon EC2
● MS Windows Azure
● Google Compute Engine
● IBM SmartCloud
● VMware vSphere
Examples
● Open Stack Neutron
● Vmware Nicira (NSX)
Examples
● Open Stack Cinder
● Vmware Virtual SAN
8. Platform
(PaaS)
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● Containers for running
applications
● Compiled applications
along with run-time
support libraries can
be deployed
● Isolated, self-described
● Infrastructure agnostic
● Routing messages
between app
containers, storage
systems & external
systems
● Routing, queueing,
scheduling
● Load balancing
● Storage and retrieval
of objects
● No mounting
partitioning, formatting
● HTTP API for store
and retrieve
Users
DevOps
Engineers
Application
Containers
Routing,
Messaging
Object Storage
Examples
● Docker
● Dyno
● CloudFoundry Warden
● Google Imctfy
Examples
● CloudFoundry
Messaging/NATS
● Heroku Routing Layer
● CloudFoundry Router
Examples
● Open Stack Swift
● Amazon S3
● Ceph Storage
9. Platform
(PaaS)
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● Uses Application
Containers
● Runtime support (e.g.
JVM for Java,
Interpreters for
Python, PHP, Node.js,
Grails etc.)
● Middleware (e.g.
Tomcat, Spring)
● Provides
communication
among applications
● Routing,
Transformations,
Queuing
● Enterprise Service
Bus
● Ready-to-use
database as a service
● Relational, key-value,
column-oriented
database
● Availability and
scalability
Users
Professional
Developers
Application
Platforms
Integration
Platforms
Database
Platforms
Examples
● CloudFoundry Buildpacks
● Google App Engine
● Heroku Buildpacks
Examples
● TIBCO Cloud Bus
● WS02 StratosLive
● Windows Azure BizTalk
Services
Examples
● Amazon SimpleDB,
DynamoDB, RDS,
Redshift
● Object Rocket
(MongoDB, Riak)
● Windows Azure SQL
10. Software
(SaaS)
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● Computing
components, APIs
● Can be orchestrated
to build or extend
applications
● Can be customized
with configuration, or
Domain-specific
Languages (DSLs)
● Communication APIs
● Can be utilized to
provide pre-built
communication
services to
applications
● Customized using
configuration or DSLs
● Prebuilt storage
services
● Big data as a service
● Provides value-added
services such as
ready analytics tools
Users
Enterprise
Developers
Application
Components
Communication
Components
Storage
Components
Examples
● Force.com
● Google Prediction API
● Hubspot API
● Zuora API
● MuleSoft Anypoint
Connectors
Examples
● Amazon Simple Email
Service
● Twilio, Voxeo APIs for
unified communications
Examples
● Dropbox API
● Qlikview
● SAP Business Objects BI
On Demand
● TIBCO Silver Spotfire
11. Software
(SaaS)
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6
● Ready-to-use software applications
● Web and mobile interface
Users
● 3-tier architecture
● Typically multi-tenant
● Whole range from consumer to enterprise
applications
● Different licensing and payment options
End Users
● Software Applications
Examples
● Salesforce.com, hubspot.com, zuora.com,
netsuite.com, wordpress.com
● oracle on-demand, SAP on-demand
● Wordpress.org, Drupal, Liferay, SugarCRM,
Compiere.com
22. Platform
(PaaS)
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Analytical
Compute Grid
Data Warehouse
As a Service
SQL
Column Database
(Cassandra)
Ralational Database
(PostgreSQL)
HDFS
(Hadoop+Hive)
Data Source Index
(Mapping/Cassandra)
ODBC
JDBC
Management
API