This document evaluates the performance of Cloudera Impala 1.1 using two clusters. It finds that RCFile with Snappy compression provides the fastest performance for both Hive and Impala on the clusters for reading-only workloads. Parquet with Snappy may be fastest for larger tables. Issues were identified with memory limits during Parquet table creation and were later fixed. The evaluation shows Impala improving and becoming ready to support more data formats and SQL functions.
Overview of HBase cluster replication feature, covering implementation details as well as monitoring tools and tips for troubleshooting and support of Replication deployments.
High level design for replicating HBase bulk loaded data. Detailed design document can be found at https://issues.apache.org/jira/browse/HBASE-13153.
It was presented at Apache HBase Meetup 2015, Bangalore.
Built in physical and logical replication in postgresql-Firat GulecFIRAT GULEC
What is Replication?
Why do we need Replication?
How many replication layers do we have?
Understanding milestones of built-in Database Physical Replication.
What is the purpose of replication? and How to rescue system in case of failover?
What is Streaming Replication and what is its advantages? Async vs Sync, Hot standby etc.
How to configurate Master and Standby Servers? And What is the most important parameters? Example of topoloji.
What is Cascading Replication and how to configurate it? Live Demo on Terminal.
What is Logical Replication coming with PostgreSQL 10? And What is its advantages?
Logical Replication vs Physical Replication
Limitations of Logical Replication
Quorum Commit for Sync Replication etc.
What is coming up with PostgreSQL 11 about replication?
10 Questions quiz and giving some gifts to participants according to their success.
W świecie mikrousługowym architektura Lambda zadomowiła się już na dobre. Tak przetwarzania streamingowe, jak i batchowe buduje wiele firm. Na rynku (o ile o rynku można mówić w kontekście open source) istnieje wiele frameworków, każdy jednak ma pewne cechy, które — zwłaszcza przy dużych projektach — utrudniają pracę. Jedne służą do przetwarzania real-time, drugie lepiej spisują się w workloadach batchowych. Niektóre z nich zaś można uznać za „rock-solid” tylko jeśli uruchamiamy je na Hadoopie. Nie brak tych problemów jest jednak główną zaletą Beama. A co nią jest? Dowiecie się na prezentacji! Poruszymy takie kwestie jak model przetwarzania, use-case’y, w których Beam się sprawdza, a także środowiska uruchomieniowe. Zobaczycie też, jak uruchamiać joby Apache Beam na Google Cloud Platform.
Overview of HBase cluster replication feature, covering implementation details as well as monitoring tools and tips for troubleshooting and support of Replication deployments.
High level design for replicating HBase bulk loaded data. Detailed design document can be found at https://issues.apache.org/jira/browse/HBASE-13153.
It was presented at Apache HBase Meetup 2015, Bangalore.
Built in physical and logical replication in postgresql-Firat GulecFIRAT GULEC
What is Replication?
Why do we need Replication?
How many replication layers do we have?
Understanding milestones of built-in Database Physical Replication.
What is the purpose of replication? and How to rescue system in case of failover?
What is Streaming Replication and what is its advantages? Async vs Sync, Hot standby etc.
How to configurate Master and Standby Servers? And What is the most important parameters? Example of topoloji.
What is Cascading Replication and how to configurate it? Live Demo on Terminal.
What is Logical Replication coming with PostgreSQL 10? And What is its advantages?
Logical Replication vs Physical Replication
Limitations of Logical Replication
Quorum Commit for Sync Replication etc.
What is coming up with PostgreSQL 11 about replication?
10 Questions quiz and giving some gifts to participants according to their success.
W świecie mikrousługowym architektura Lambda zadomowiła się już na dobre. Tak przetwarzania streamingowe, jak i batchowe buduje wiele firm. Na rynku (o ile o rynku można mówić w kontekście open source) istnieje wiele frameworków, każdy jednak ma pewne cechy, które — zwłaszcza przy dużych projektach — utrudniają pracę. Jedne służą do przetwarzania real-time, drugie lepiej spisują się w workloadach batchowych. Niektóre z nich zaś można uznać za „rock-solid” tylko jeśli uruchamiamy je na Hadoopie. Nie brak tych problemów jest jednak główną zaletą Beama. A co nią jest? Dowiecie się na prezentacji! Poruszymy takie kwestie jak model przetwarzania, use-case’y, w których Beam się sprawdza, a także środowiska uruchomieniowe. Zobaczycie też, jak uruchamiać joby Apache Beam na Google Cloud Platform.
Agenda:
- Spark on Yarn
- Auto scaling Spark Apps and Cluster management
- Hive Integration with Spark
- Persistent History Server
By Rajat Gupta and Bharath Bhushan at Big Data Meetup at InMobi.
http://technology.inmobi.com/events/big-data-may-meetup
PGConf.ASIA 2019 Bali - Foreign Data Wrappers - Etsuro Fujita & Tatsuro YamadaEqunix Business Solutions
PGConf.ASIA 2019 Bali - 9 September 2019
Speaker: Etsuro Fujita & Tatsuro Yamada
Room: ACID
Title: Foreign Data Wrappers: A Powerful Technology for Data Integration
Replicating in Real-time from MySQL to Amazon RedshiftContinuent
Continuent is delighted to announce an exciting new Continuent Tungsten feature for MySQL users: replication in real-time from MySQL into Amazon Redshift. In this webinar we'll showcase Continuent Tungsten capabilities for continuous and real-time data warehouse loading, then zero-in on practical details of setting up replication from MySQL into Redshift.
We cover the following topics:
- Introduction to real-time data loading from a relational DBMS into data warehouses
- Continuent Tungsten data warehouse loading to Redshift, Hadoop, Vertica, and Oracle
- What's new with Redshift data loading
- Setting up replication from MySQL into Amazon Redshift
- Initial provisioning of the data, followed by on-going and real-time replication
- Adding Redshift data loading to existing Continuent Tungsten clusters.
This webinar includes practical tips and a live demo of how to get your data warehouse loading projects off the ground quickly and efficiently. Please join us to hear about this great new feature of Continuent Tungsten!
FortranCon2020: Highly Parallel Fortran and OpenACC DirectivesJeff Larkin
Fortran has long been the language of computational math and science and it has outlived many of the computer architectures on which it has been used. Modern Fortran must be able to run on modern, highly parallel, heterogeneous computer architectures. A significant number of Fortran programmers have had success programming for heterogeneous machines by pairing Fortran with the OpenACC language for directives-based parallel programming. This includes some of the most widely-used Fortran applications in the world, such as VASP and Gaussian. This presentation will discuss what makes OpenACC a good fit for Fortran programmers and what the OpenACC language is doing to promote the use of native language parallelism in Fortran, such as do concurrent and Co-arrays.
Video Recording: https://www.youtube.com/watch?v=OXZ_Wkae63Y
Agenda
• Technical cases in PostgreSQL
• Database Monitoring Methods
By Rohit Vyas at India PostgreSQL UserGroup Meetup, Bangalore at InMobi.
http://technology.inmobi.com/events/india-postgresql-usergroup-meetup-bangalore
PGConf APAC 2018 - Monitoring PostgreSQL at ScalePGConf APAC
Speaker: Lukas Fittl
Your PostgreSQL database is one of the most important pieces of your architecture - yet the level of introspection available in Postgres is often hard to work with. Its easy to get very detailed information, but what should you really watch out for, send reports on and alert on?
In this talk we'll discuss how query performance statistics can be made accessible to application developers, critical entries one should monitor in the PostgreSQL log files, how to collect EXPLAIN plans at scale, how to watch over autovacuum and VACUUM operations, and how to flag issues based on schema statistics.
We'll also talk a bit about monitoring multi-server setups, first going into high availability and read standbys, logical replication, and then reviewing how monitoring looks like for sharded databases like Citus.
The talk will primarily describe free/open-source tools and statistics views readily available from within Postgres.
We have been offering many internet services and smart phone applications for over 20 years in Japan, and Cassandra has been used by our services since 2010. In this presentation, I will explain some issues and solutions about Cassandra, and our next generation infrastructure for Cassandra.
About the Speaker
Satoshi Konno Technical Manager, Yahoo Japan Corporation
Satoshi Konno is a software engineer with 20 years of experience. He has worked in Yahoo Japan as a programmer for 10 years and in their NoSQL team for the past 4 years and he is currently in a computer science doctoral course studying distributed computing.
An Overview of the IHK/McKernel Multi-kernel Operating SystemLinaro
By Balazs Gerofi, RIKEN Advanced Institute For Computational Science
RIKEN Advanced Institute for Computation Science is in charge of leading the development of Japan's next generation flagship supercomputer, the successor of the K. Part of this effort is to design and develop a system software stack that suits the needs of future extreme scale computing. In this talk, we focus on operating system (OS) requirements for HPC and discuss IHK/McKernel, a multi-kernel based operating system framework. IHK/McKernel runs Linux with a light-weight kernel (LWK) side-by-side on compute nodes with the primary motivation of providing scalable, consistent performance for large scale HPC simulations, but at the same time to retain a fully Linux compatible execution environment. We provide an overview of the project and discuss the status of its support for ARM architecture.
Balazs Gerofi Bio
Research Scientist at RIKEN Advanced Institute For Computational Science.
Email
bgerofi@riken.jp
For more info on The Linaro High Performance Computing (HPC) visit https://www.linaro.org/sig/hpc/
By Masaki Arai, Fujitsu Laboratories Ltd.
For numerical calculation programs on supercomputers, the kernel part occupies 80% or more of the execution time in many cases. Therefore, the quality of the code generated by the compiler for these kernel parts is significant. We created a tool, which is called HCQC, to aid in the investigation of the quality of the code generated by the compiler for the kernel part. In this presentation, we report the details of HCQC and the results of evaluating the quality of GCC and LLVM when compiling the kernel part of benchmark programs using HCQC.
Masaki Arai Bio
In 1992, He joined Fujitsu Laboratories Ltd. His research interests are in the area of compiler optimizations and computer architectures. He joined Linaro as member engineer in 2017.
Email
itaru.kitayama@riken.jp
For more info on The Linaro High Performance Computing (HPC) visit https://www.linaro.org/sig/hpc/
Replicate from Oracle to data warehouses and analyticsContinuent
Analyzing transactional data residing in Oracle databases is becoming increasingly common, especially as the data sizes and complexity increase and transactional stores are no longer to keep pace with the ever-increasing storage. Although there are many techniques available for loading Oracle data, getting up-to-date data into your data warehouse store is a more difficult problem. VMware Continuent provides provides data replication from Oracle to data warehouses and analytics engines, to derive insight from big data for better business decisions. Learn practical tips on how to get your data warehouse loading projects off the ground quickly and efficiently when replicating from Oracle into Hadoop, Amazon Redshift, and HP Vertica.
Agenda:
- Spark on Yarn
- Auto scaling Spark Apps and Cluster management
- Hive Integration with Spark
- Persistent History Server
By Rajat Gupta and Bharath Bhushan at Big Data Meetup at InMobi.
http://technology.inmobi.com/events/big-data-may-meetup
PGConf.ASIA 2019 Bali - Foreign Data Wrappers - Etsuro Fujita & Tatsuro YamadaEqunix Business Solutions
PGConf.ASIA 2019 Bali - 9 September 2019
Speaker: Etsuro Fujita & Tatsuro Yamada
Room: ACID
Title: Foreign Data Wrappers: A Powerful Technology for Data Integration
Replicating in Real-time from MySQL to Amazon RedshiftContinuent
Continuent is delighted to announce an exciting new Continuent Tungsten feature for MySQL users: replication in real-time from MySQL into Amazon Redshift. In this webinar we'll showcase Continuent Tungsten capabilities for continuous and real-time data warehouse loading, then zero-in on practical details of setting up replication from MySQL into Redshift.
We cover the following topics:
- Introduction to real-time data loading from a relational DBMS into data warehouses
- Continuent Tungsten data warehouse loading to Redshift, Hadoop, Vertica, and Oracle
- What's new with Redshift data loading
- Setting up replication from MySQL into Amazon Redshift
- Initial provisioning of the data, followed by on-going and real-time replication
- Adding Redshift data loading to existing Continuent Tungsten clusters.
This webinar includes practical tips and a live demo of how to get your data warehouse loading projects off the ground quickly and efficiently. Please join us to hear about this great new feature of Continuent Tungsten!
FortranCon2020: Highly Parallel Fortran and OpenACC DirectivesJeff Larkin
Fortran has long been the language of computational math and science and it has outlived many of the computer architectures on which it has been used. Modern Fortran must be able to run on modern, highly parallel, heterogeneous computer architectures. A significant number of Fortran programmers have had success programming for heterogeneous machines by pairing Fortran with the OpenACC language for directives-based parallel programming. This includes some of the most widely-used Fortran applications in the world, such as VASP and Gaussian. This presentation will discuss what makes OpenACC a good fit for Fortran programmers and what the OpenACC language is doing to promote the use of native language parallelism in Fortran, such as do concurrent and Co-arrays.
Video Recording: https://www.youtube.com/watch?v=OXZ_Wkae63Y
Agenda
• Technical cases in PostgreSQL
• Database Monitoring Methods
By Rohit Vyas at India PostgreSQL UserGroup Meetup, Bangalore at InMobi.
http://technology.inmobi.com/events/india-postgresql-usergroup-meetup-bangalore
PGConf APAC 2018 - Monitoring PostgreSQL at ScalePGConf APAC
Speaker: Lukas Fittl
Your PostgreSQL database is one of the most important pieces of your architecture - yet the level of introspection available in Postgres is often hard to work with. Its easy to get very detailed information, but what should you really watch out for, send reports on and alert on?
In this talk we'll discuss how query performance statistics can be made accessible to application developers, critical entries one should monitor in the PostgreSQL log files, how to collect EXPLAIN plans at scale, how to watch over autovacuum and VACUUM operations, and how to flag issues based on schema statistics.
We'll also talk a bit about monitoring multi-server setups, first going into high availability and read standbys, logical replication, and then reviewing how monitoring looks like for sharded databases like Citus.
The talk will primarily describe free/open-source tools and statistics views readily available from within Postgres.
We have been offering many internet services and smart phone applications for over 20 years in Japan, and Cassandra has been used by our services since 2010. In this presentation, I will explain some issues and solutions about Cassandra, and our next generation infrastructure for Cassandra.
About the Speaker
Satoshi Konno Technical Manager, Yahoo Japan Corporation
Satoshi Konno is a software engineer with 20 years of experience. He has worked in Yahoo Japan as a programmer for 10 years and in their NoSQL team for the past 4 years and he is currently in a computer science doctoral course studying distributed computing.
An Overview of the IHK/McKernel Multi-kernel Operating SystemLinaro
By Balazs Gerofi, RIKEN Advanced Institute For Computational Science
RIKEN Advanced Institute for Computation Science is in charge of leading the development of Japan's next generation flagship supercomputer, the successor of the K. Part of this effort is to design and develop a system software stack that suits the needs of future extreme scale computing. In this talk, we focus on operating system (OS) requirements for HPC and discuss IHK/McKernel, a multi-kernel based operating system framework. IHK/McKernel runs Linux with a light-weight kernel (LWK) side-by-side on compute nodes with the primary motivation of providing scalable, consistent performance for large scale HPC simulations, but at the same time to retain a fully Linux compatible execution environment. We provide an overview of the project and discuss the status of its support for ARM architecture.
Balazs Gerofi Bio
Research Scientist at RIKEN Advanced Institute For Computational Science.
Email
bgerofi@riken.jp
For more info on The Linaro High Performance Computing (HPC) visit https://www.linaro.org/sig/hpc/
By Masaki Arai, Fujitsu Laboratories Ltd.
For numerical calculation programs on supercomputers, the kernel part occupies 80% or more of the execution time in many cases. Therefore, the quality of the code generated by the compiler for these kernel parts is significant. We created a tool, which is called HCQC, to aid in the investigation of the quality of the code generated by the compiler for the kernel part. In this presentation, we report the details of HCQC and the results of evaluating the quality of GCC and LLVM when compiling the kernel part of benchmark programs using HCQC.
Masaki Arai Bio
In 1992, He joined Fujitsu Laboratories Ltd. His research interests are in the area of compiler optimizations and computer architectures. He joined Linaro as member engineer in 2017.
Email
itaru.kitayama@riken.jp
For more info on The Linaro High Performance Computing (HPC) visit https://www.linaro.org/sig/hpc/
Replicate from Oracle to data warehouses and analyticsContinuent
Analyzing transactional data residing in Oracle databases is becoming increasingly common, especially as the data sizes and complexity increase and transactional stores are no longer to keep pace with the ever-increasing storage. Although there are many techniques available for loading Oracle data, getting up-to-date data into your data warehouse store is a more difficult problem. VMware Continuent provides provides data replication from Oracle to data warehouses and analytics engines, to derive insight from big data for better business decisions. Learn practical tips on how to get your data warehouse loading projects off the ground quickly and efficiently when replicating from Oracle into Hadoop, Amazon Redshift, and HP Vertica.
This presentation is about our modification to the Cloudera Impala.
Our version can efficiently work with S3 as well as other remote DFS compatible storage
ScyllaDB Open Source 5.0 is the latest evolution of our monstrously fast and scalable NoSQL database – powering instantaneous experiences with massive distributed datasets.
Join us to learn about ScyllaDB Open Source 5.0, which represents the first milestone in ScyllaDB V. ScyllaDB 5.0 introduces a host of functional, performance and stability improvements that resolve longstanding challenges of legacy NoSQL databases.
We’ll cover:
- New capabilities including a new IO model and scheduler, Raft-based schema updates, automated tombstone garbage collection, optimized reverse queries, and support for the latest AWS EC2 instances
- How ScyllaDB 5.0 fits into the evolution of ScyllaDB – and what to expect next
- The first look at benchmarks that quantify the impact of ScyllaDB 5.0's numerous optimizations
This will be an interactive session with ample time for Q & A – bring us your questions and feedback!
The best way to understand the cloud, is to have one of your own to kick around, poke, break, fix, and see what it looks like when it's running. In OpenStack we've got a whole project called Devstack which is designed to quickly bootstrap the latest git versions of all the OpenStack components and create an experimentation friendly OpenStack environment. This talk will introduce Devstack, how to get a running OpenStack with it, and how one might begin making changes and seeing them in action. We'll explore a few of the major OpenStack services, see what's going on, all with the intent to explain what OpenStack is by seeing not only the interface, but the internals at work.
Presented at LinuxCon NA 2014
Just because Containerized, Kubernetized and Cloudified doesnt mean you application is production grade and disruption free. You will have to utilize all the features provided by Kubernetes to really make it produciton ready.
In these slides, I will try to explain what could be possible disruptions that can happen in your Kubernetes cluster that can impact your application or workloads. And then will try to explain features or configuration of Kubernetes that will help in making your application production grade.
Sanger OpenStack presentation March 2017Dave Holland
A description of the Sanger Institute's journey with OpenStack to date, covering RHOSP, Ceph, S3, user applications, and future plans. Given at the Sanger Institute's OpenStack Day.
What do data center operators need to know when deploying Hadoop in the Data Center? Multi-tenancy, network topology, workload types, and myriad other factors affect the way applications run and perform in the data center. Understanding performance characteristics of the distributed system is key to not only optimize for Hadoop, but allows Hadoop to seamlessly operate side-by-side existing applications.
Optimizing, Profiling, and Deploying TensorFlow AI Models with GPUs - San Fra...Chris Fregly
http://pipeline.ai
Using the latest advancements from TensorFlow including the Accelerated Linear Algebra (XLA) Framework, JIT/AOT Compiler, and Graph Transform Tool, I’ll demonstrate how to optimize, profile, and deploy TensorFlow Models - and the TensorFlow Runtime - in GPU-based production environment. This talk is 100% demo based on open source tools and completely reproducible through Docker on your own GPU cluster.
Bio
Chris Fregly is Founder and Research Engineer at PipelineAI, a Streaming Machine Learning and Artificial Intelligence Startup based in San Francisco. He is also an Apache Spark Contributor, a Netflix Open Source Committer, founder of the Global Advanced Spark and TensorFlow Meetup, author of the O’Reilly Training and Video Series titled, "High-Performance TensorFlow in Production."
Previously, Chris was a Distributed Systems Engineer at Netflix, a Data Solutions Engineer at Databricks, and a Founding Member and Principal Engineer at the IBM Spark Technology Center in San Francisco.
http://pipeline.ai
Container orchestration from theory to practiceDocker, Inc.
"Join Laura Frank and Stephen Day as they explain and examine technical concepts behind container orchestration systems, like distributed consensus, object models, and node topology. These concepts build the foundation of every modern orchestration system, and each technical explanation will be illustrated using SwarmKit and Kubernetes as a real-world example. Gain a deeper understanding of how orchestration systems work in practice and walk away with more insights into your production applications."
Docker containers are great for running stateless microservices, but what about stateful applications such as databases and persistent queues? Kubernetes provides the StatefulSets controller for such applications that have to manage data in some form of persistent storage. While StatefulSets is a great start, a lot more goes into ensuring high performance, data durability and high availability for stateful apps in Kubernetes. Following are 5 best practices that developers and operations engineers should be aware of.
1. Ensure high performance with local persistent volumes and pod anti-affinity rules.
2. Achieve data resilience with auto-failover and multi-zone pod scheduling.
3. Integrate StatefulSet services with other application services through NodePorts & LoadBalancer services.
4. Run Day 2 operations such as monitoring, elastic scaling, capacity re-sizing, backups with caution.
5. Automate operations through Kubernetes Operators that extend the StatefulSets controller.
We will demonstrate how to run a complete E-Commerce application powered by YugaByte DB, when all services are deployed in Kubernetes.
ApacheCon 2021 - Apache NiFi Deep Dive 300Timothy Spann
21-September-2021 - ApacheCon - Tuesday 17:10 UTC Apache NIFi Deep Dive 300
* https://github.com/tspannhw/EverythingApacheNiFi
* https://github.com/tspannhw/FLiP-ApacheCon2021
* https://www.datainmotion.dev/2020/06/no-more-spaghetti-flows.html
* https://github.com/tspannhw/FLiP-IoT
* https://github.com/tspannhw/FLiP-Energy
* https://github.com/tspannhw/FLiP-SOLR
* https://github.com/tspannhw/FLiP-EdgeAI
* https://github.com/tspannhw/FLiP-CloudQueries
* https://github.com/tspannhw/FLiP-Jetson
* https://www.linkedin.com/pulse/2021-schedule-tim-spann/
Tuesday 17:10 UTC
Apache NIFi Deep Dive 300
Timothy Spann
For Data Engineers who have flows already in production, I will dive deep into best practices, advanced use cases, performance optimizations, tips, tricks, edge cases, and interesting examples. This is a master class for those looking to learn quickly things I have picked up after years in the field with Apache NiFi in production.
This will be interactive and I encourage questions and discussions.
You will take away examples and tips in slides, github, and articles.
This talk will cover:
Load Balancing
Parameters and Parameter Contexts
Stateless vs Stateful NiFi
Reporting Tasks
NiFi CLI
NiFi REST Interface
DevOps
Advanced Record Processing
Schemas
RetryFlowFile
Lookup Services
RecordPath
Expression Language
Advanced Error Handling Techniques
Tim Spann is a Developer Advocate @ StreamNative where he works with Apache NiFi, Apache 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 Principal Field Engineer at Cloudera, 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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
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.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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/
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