The document discusses different strategies for horizontally scaling databases, including simple sharding, hashed sharding, and master-slave architectures. It describes Aerospike's approach of "smart partitioning", which balances data automatically, hides complexity from clients, and provides redundancy and failover. The key advantages are linear scalability, high availability even during maintenance, and the ability to handle catastrophic failures through multi-datacenter replication that can withstand outages and disasters.
Configuring storage. The slides to this webinar cover how to configure storage for Aerospike. It includes a discussion of how Aerospike uses Flash/SSDs and how to get the best performance out of them.
Find the full webinar with audio here - http://www.aerospike.com/webinars
Basic concepts and high level configuration. This is a basic overview of the Aerospike database and presents an introduction to configuring the database service.
Find the full webinar with audio here - http://www.aerospike.com/webinars
One of the most important things you can do to improve the performance of your flash/SSDs with Aerospike is to properly prepare them. This Presentation goes through how to select, test, and prepare the drives so that you will get the best performance and lifetime out of them.
How to Get a Game Changing Performance Advantage with Intel SSDs and AerospikeAerospike, Inc.
Frank Ober of Intel’s Solutions Group will review how he achieved 1+ million transactions per second on a single dual socket Xeon Server with SSDs using the open source tools of Aerospike for benchmarking. The presentation will include a live demo showing the performance of a sample system. We will cover:
The state of Key-value Stores on modern SSDs.
What choices you make in your selection process of hardware that will most benefit a consistent deployment of Aerospike.
How to run an Aerospike mesh on a single machine.
How to work replication of that mesh, and what values allow for maximum threading and scale.
We will also focus on some key learnings and the Total Cost of Ownership choices that will make your deployment more effective long term.
This presentation breaks down the Aerospike Key Value Data Access. It covers the topics of Structured vs Unstructured Data, Database Hierarchy & Definitions as well as Data Patterns.
Configuring storage. The slides to this webinar cover how to configure storage for Aerospike. It includes a discussion of how Aerospike uses Flash/SSDs and how to get the best performance out of them.
Find the full webinar with audio here - http://www.aerospike.com/webinars
Basic concepts and high level configuration. This is a basic overview of the Aerospike database and presents an introduction to configuring the database service.
Find the full webinar with audio here - http://www.aerospike.com/webinars
One of the most important things you can do to improve the performance of your flash/SSDs with Aerospike is to properly prepare them. This Presentation goes through how to select, test, and prepare the drives so that you will get the best performance and lifetime out of them.
How to Get a Game Changing Performance Advantage with Intel SSDs and AerospikeAerospike, Inc.
Frank Ober of Intel’s Solutions Group will review how he achieved 1+ million transactions per second on a single dual socket Xeon Server with SSDs using the open source tools of Aerospike for benchmarking. The presentation will include a live demo showing the performance of a sample system. We will cover:
The state of Key-value Stores on modern SSDs.
What choices you make in your selection process of hardware that will most benefit a consistent deployment of Aerospike.
How to run an Aerospike mesh on a single machine.
How to work replication of that mesh, and what values allow for maximum threading and scale.
We will also focus on some key learnings and the Total Cost of Ownership choices that will make your deployment more effective long term.
This presentation breaks down the Aerospike Key Value Data Access. It covers the topics of Structured vs Unstructured Data, Database Hierarchy & Definitions as well as Data Patterns.
Hadoop was born much earlier than the Cloud Native era. But the question is still the same: what can it offer in the time of Kubernetes, containerization and hybrid clouds?
Apache Hadoop Ozone is a new subproject of Hadoop. It has a generic low-level binary layer, the Hadoop Distributed Data Storage (HDDS) and a S3 compatible Object Store implementation on top of it.
But the HDDS data storage layer is not just for the object store. It could be used for multiple purposes: to enhance the scalability the HDFS or provide block level access to the managed storage space. With this approach the same Hadoop Ozone cluster could provide hadoop file system based storage, object store space and block level storage.
Storage is still a hot topic with Kubernetes and in Cloud Native environments. Container Storage Interface specification is a vendor neutral standard to provide storage plugin for multiple container orchestration system.
Quadra provides block level access on top of the Hadoop Distributed Data Storage layer and it’s first class citizen of the containerized word. It implements the Container Storage Interface and can work as a Kubernetes dynamic volume provisioner.
In this talk we will demonstrate how the Hadoop Ozone storage could be used from containers. We will explain the basic storage type of Kubernetes clusters and show how Hadoop Ozone and Quadra could help to solve the storage problem in an industry standard way.
Cephalocon APAC 2018
March 22-23, 2018 - Beijing, China
Lars Marowsky-Brée SUSE Distinguished Engineer, Ceph Advisory Board member
Marc Koderer, SAP OpenStack Evangelist
“NoSQL” is more than just a popular industry buzzword. It’s been 17 years since Carlo Strozzi coined the neologism. The concept though, is older than that. In fact, the world had only NoSQL databases long before SQL was invented in the 1970s, thus proving the adage everything old is new again. In recent years a new wave of enterprise-class NoSQL databases have come to the fore to challenge the supremacy of Relational Database Management Systems (RDBMS). One such example is Aerospike, a Flash/SSD-optimized key-value store. In his presentation, Aerospike’s Director of Application Engineering, Peter Milne, will take you through a deep dive comparison. What are the conceptual differences between NoSQL and RDBMS? Why consider one versus the other for your use case? What data modeling, architectural best practices and practical migration steps should you apply to smoothly transition your business to the new world of NoSQL?
Running Solr in the Cloud at Memory Speed with Alluxiothelabdude
In this talk, I introduce Alluxio, the fastest growing open source project in the big data ecosystem, and show how to leverage it for optimizing Solr performance. I'll begin with a brief introduction about how Alluxio works and why it's interesting for the Solr community. Next, I describe how to run Solr on Alluxio and cover basic integration scenarios. Lastly, I provide some performance comparisons between running Solr on Alluxio vs. a local FS and HDFS. Attendees will come away with a new toolset to help them use Solr to tackle a wide array of big data problems.
Alluxio 2.0 & Near Real-time Big Data Platform w/ Spark & AlluxioAlluxio, Inc.
Alluxio Bay Area Meetup March 14th
Join the Alluxio Meetup group: https://www.meetup.com/Alluxio
Alluxio Community slack: https://www.alluxio.org/slack
Developing High Performance Application with Aerospike & GoChris Stivers
In this presentation, Chris Stivers, introduces the audience to Aerospike and provides tips on improving performance of Application written in Go. Tips include how to use memory more effectively in Go, and using Aerospike for high throughput / low latency transactions.
A detailed walk-through from the CTO of Swig, a photo journal for drink enthusiasts. The Swig team wrote their own analytics server using web sockets and Aerospike to provide a live view of photo counts on iOS. A detailed overview will be presented on how the app was set up, including deployment, Aerospike configuration, web socket pooling approach, hosting, monitoring and load testing techniques.
Hadoop was born much earlier than the Cloud Native era. But the question is still the same: what can it offer in the time of Kubernetes, containerization and hybrid clouds?
Apache Hadoop Ozone is a new subproject of Hadoop. It has a generic low-level binary layer, the Hadoop Distributed Data Storage (HDDS) and a S3 compatible Object Store implementation on top of it.
But the HDDS data storage layer is not just for the object store. It could be used for multiple purposes: to enhance the scalability the HDFS or provide block level access to the managed storage space. With this approach the same Hadoop Ozone cluster could provide hadoop file system based storage, object store space and block level storage.
Storage is still a hot topic with Kubernetes and in Cloud Native environments. Container Storage Interface specification is a vendor neutral standard to provide storage plugin for multiple container orchestration system.
Quadra provides block level access on top of the Hadoop Distributed Data Storage layer and it’s first class citizen of the containerized word. It implements the Container Storage Interface and can work as a Kubernetes dynamic volume provisioner.
In this talk we will demonstrate how the Hadoop Ozone storage could be used from containers. We will explain the basic storage type of Kubernetes clusters and show how Hadoop Ozone and Quadra could help to solve the storage problem in an industry standard way.
Cephalocon APAC 2018
March 22-23, 2018 - Beijing, China
Lars Marowsky-Brée SUSE Distinguished Engineer, Ceph Advisory Board member
Marc Koderer, SAP OpenStack Evangelist
“NoSQL” is more than just a popular industry buzzword. It’s been 17 years since Carlo Strozzi coined the neologism. The concept though, is older than that. In fact, the world had only NoSQL databases long before SQL was invented in the 1970s, thus proving the adage everything old is new again. In recent years a new wave of enterprise-class NoSQL databases have come to the fore to challenge the supremacy of Relational Database Management Systems (RDBMS). One such example is Aerospike, a Flash/SSD-optimized key-value store. In his presentation, Aerospike’s Director of Application Engineering, Peter Milne, will take you through a deep dive comparison. What are the conceptual differences between NoSQL and RDBMS? Why consider one versus the other for your use case? What data modeling, architectural best practices and practical migration steps should you apply to smoothly transition your business to the new world of NoSQL?
Running Solr in the Cloud at Memory Speed with Alluxiothelabdude
In this talk, I introduce Alluxio, the fastest growing open source project in the big data ecosystem, and show how to leverage it for optimizing Solr performance. I'll begin with a brief introduction about how Alluxio works and why it's interesting for the Solr community. Next, I describe how to run Solr on Alluxio and cover basic integration scenarios. Lastly, I provide some performance comparisons between running Solr on Alluxio vs. a local FS and HDFS. Attendees will come away with a new toolset to help them use Solr to tackle a wide array of big data problems.
Alluxio 2.0 & Near Real-time Big Data Platform w/ Spark & AlluxioAlluxio, Inc.
Alluxio Bay Area Meetup March 14th
Join the Alluxio Meetup group: https://www.meetup.com/Alluxio
Alluxio Community slack: https://www.alluxio.org/slack
Developing High Performance Application with Aerospike & GoChris Stivers
In this presentation, Chris Stivers, introduces the audience to Aerospike and provides tips on improving performance of Application written in Go. Tips include how to use memory more effectively in Go, and using Aerospike for high throughput / low latency transactions.
A detailed walk-through from the CTO of Swig, a photo journal for drink enthusiasts. The Swig team wrote their own analytics server using web sockets and Aerospike to provide a live view of photo counts on iOS. A detailed overview will be presented on how the app was set up, including deployment, Aerospike configuration, web socket pooling approach, hosting, monitoring and load testing techniques.
Extending Cloud Foundry UAA for Authorizations and Multi-Data Center Deployme...VMware Tanzu
Technical Track presented by Brian McClain, Lead of Infrastructure Engineering at Warner Music Group.
erving a global audience of enterprise users requires a global architecture of enterprise-grade software. This talk will cover the changes to UAA that WMG has made, as well as give an overview of our infrastructure architecture, specifically how we serve requests to a globally distributed user base and manage deployments amongst multiple data centers.
DataStax | Data Science with DataStax Enterprise (Brian Hess) | Cassandra Sum...DataStax
Leveraging your operational data for advanced and predictive analytics enables deeper insights and greater value for cloud applications. DSE Analytics is a complete platform for Operational Analytics, including data ingestion, stream processing, batch analysis, and machine learning.
In this talk we will provide an overview of DSE Analytics as it applies to data science tools and techniques, and demonstrate these via real world use cases and examples.
Brian Hess
Rob Murphy
Rocco Varela
About the Speakers
Brian Hess Senior Product Manager, Analytics, DataStax
Brian has been in the analytics space for over 15 years ranging from government to data mining applied research to analytics in enterprise data warehousing and NoSQL engines, in roles ranging from Cryptologic Mathematician to Director of Advanced Analytics to Senior Product Manager. In all these roles he has pushed data analytics and processing to massive scales in order to solve problems that were previously unsolvable.
Strategies for multi-data center deployment. Diving into the details of deploying of MongoDB across multiple data centers.
Covers the advantages of a multi data center deployment for read/write locality, the various deployment strategies, and disaster preparedness and recovery.
In addition, we’ll look at the MongoDB roadmap and planned enhancements around data center awareness.
This presentation was given at MongoNYC 2012. The animations didn’t survive the transformation to the web, so not all the meaning carries over perfectly.
Tales From The Front: An Architecture For Multi-Data Center Scalable Applicat...DataStax Academy
- Quick review of Cassandra functionality that applies to this use case
- Common Data Center and application architectures for highly available inventory applications, and why the were designed that way
- Cassandra implementations vis-a-vis infrastructure capabilities
The impedance mismatch: compromises made to fit into IT infrastructures designed and implemented with an old mindset
Whats the buzz about? When it comes to NoSQL, what do some of the most experienced developers know about NoSQL that makes them select Aerospike over any other NoSQL database?
Find the full webinar with audio here - http://www.aerospike.com/webinars
This presentaion will review how real-time big data driven applications are changing consumer expectations and enterprise requirements for operational databases that enable powerful and personalized customer experiences. We will describe common use cases, typical customer deployments and present an overview of Aerospike's hybrid in-memory (DRAM + Flash) and scale-out architecture.
Presentation from Adtech Hacked
Aerospike's highly reliable and scalable database, using NoSQL and In-memory technology, presentation slides given at Stack Exchange on April 10th with NSOne and advertising technology luminaries.
AdTech Gets Hacked in Lower Manhattan
Stack Exchange, 110 William St 28th Floor,
New York, NY 10038
Aerospike AdTech Gets Hacked in Lower ManhattanAerospike
Aerospike's highly reliable and scalable database, using NoSQL and In-memory technology, presentation slides given at Stack Exchange on April 10th with NSOne and advertising technology luminaries.
AdTech Gets Hacked in Lower Manhattan
Stack Exchange, 110 William St 28th Floor,
New York, NY 10038
Optimize Data Connectivity in .NET ApplicationsAbhishek Kant
When it comes to Data Access performance of .NET application, many people focus on the tuning and optimizing the Backend datasources. But there is lot to gain from just tuning your connectivity solutions for the need of your application.
This presentation focuses on how to tune your ADO.NET connectivity solution to get the best performance out of them, with the examples.
Regardless of whether you use a direct attached storage array, or a network-attached storage (NAS) appliances, or a storage area network (SAN) to host your data, if this data infrastructure is not designed for high availability, then the data it stores is not highly available by extension, application availability is at risk – regardless of server clustering.
The purpose of this paper is to outline best practices for improving overall business application availability by building a highly available data infrastructure.
Download this paper to:
- Learn how to develop a High Availability strategy for your applications
- Identify the differences between Hardware and Software-defined infrastructures in terms of Availability
- Learn how to build a Highly Available data infrastructure using Hyper-converged storage
From Raw Data to an Interactive Data App in an Hour: Powered by Snowpark PythonHostedbyConfluent
"As data practitioners, we often rely on the data engineering teams upstream to deliver the right data needed to train ML models at scale. Deploying these ML models as a data application to downstream business users is constrained by one’s web development experience. Using Snowpark, you can build end to end data pipelines, and data applications from scratch using Python.
In this talk, you will learn to build a Streamlit data application to help visualize the ROI of different advertising spends of an example organization.
- Setup Environment: Use stages and tables to ingest and organize raw data from S3 into Snowflake.
- Data Engineering: Leverage Snowpark for Python DataFrames to perform data transformations such as group by, aggregate, pivot, and join to prep the data for downstream applications.
- Data Pipelines: Use Snowflake Tasks to turn your data pipeline code into operational pipelines with integrated monitoring.
- Machine Learning: Prepare data and run ML Training in Snowflake using Snowpark ML and deploy the model as a Snowpark User-Defined-Function (UDF).
- Streamlit Application: Build an interactive application using Python (no web development experience required) to help visualize the ROI of different advertising spend budgets."
Disaster Recovery Experience at CACIB: Hardening Hadoop for Critical Financia...DataWorks Summit
Hadoop is becoming a standard platform for building critical financial applications such as risk reporting, trading and fraud detection. These applications require high level of SLAs (service-level agreement) in terms of RPO (Recovery Point Objective) and RTO (Recovery Time Objective). To achieve these SLAs, organizations need to build a disaster recovery plan that cover several layers ranging from the infrastructure to the clients going through the platform and the applications. In this talk, we will present the different architecture blueprints for disaster recovery as well as their corresponding SLA objectives. Then, we will focus on the stretch cluster solution that Crédit Agricole CIB is using in production. We will discuss the solution’s advantages, drawbacks and the impact of this approach on the global architecture. Finally, we will explain in detail how to configure and deploy this solution and how to integrate each layer (storage layer, processing layer...) into the architecture.
Aerospike meetup july 2019 | Big Data DemystifiedOmid Vahdaty
Building a low latency (sub millisecond), high throughput database that can handle big data AND linearly scale is not easy - but we did it anyway...
In this session we will get to know Aerospike, an enterprise distributed primary key database solution.
- We will do an introduction to Aerospike - basic terms, how it works and why is it widely used in mission critical systems deployments.
- We will understand the 'magic' behind Aerospike ability to handle small, medium and even Petabyte scale data, and still guarantee predictable performance of sub-millisecond latency
- We will learn how Aerospike devops is different than other solutions in the market, and see how easy it is to run it on cloud environments as well as on premise.
We will also run a demo - showing a live example of the performance and self-healing technologies the database have to offer.
C* Summit 2013: Real-Time Big Data with Storm, Cassandra, and In-Memory Compu...DataStax Academy
This session will describe how to resolve the processing limitations by placing the streaming and data store interfaces in-memory as well, through an in-memory computing platform, and also how to resolve the complexity challenge by implementing a DevOps approach that abstracts all the underlying infrastructure and provides single-click management of all the application tiers and services, on any environment (private/public cloud, bare metal…). And the best news is that all this optimization can be implemented seamlessly, with no code change to your apps.
Learn how Aerospike's Hybrid Memory Architecture brings transactions and analytics together to power real-time Systems of Engagement ( SOEs) for companies across AdTech, financial services, telecommunications, and eCommerce. We take a deep dive into the architecture including use cases, topology, Smart Clients, XDR and more. Aerospike delivers predictable performance, high uptime and availability at the lowest total cost of ownership (TCO).
2017 DB Trends for Powering Real-Time Systems of EngagementAerospike, Inc.
Slides from a webinar delivered on 12/14/16 by Aerospike guest speaker, Forrester Principal Analyst Noel Yuhanna, and Aerospike’s CTO and Co-founder, Brian Bulkowski. They cover the challenges companies face in powering real-time digital business applications and Systems of Engagement (SOEs). SOEs need to be fast and consistent, but traditional DB approaches, including RDBMS or 1st generation NoSQL solutions, can be complex, a challenge to maintain, and costly. The trend for 2017 and beyond is to simplify systems and traditional architecture while reducing vendors.
You'll learn about:
* An emerging new architecture for SOE's - specifically, a hybrid memory architecture, which removes the entire traditional caching layer from real-time applications
* How enterprises are embracing this simplified model across financial services, telco, and adtech
* How you can significantly lower total cost of ownership (TCO) and create true competitive advantage as part of your digital transformation
WEBINAR: Architectures for Digital Transformation and Next-Generation Systems...Aerospike, Inc.
Containers are great ephemeral vessels for your applications. But what about the data that drives your business? It must survive containers coming and going, maintain its availability and reliability, and grow when you need it.
Alvin Richards reviews a number of strategies to deal with persistent containers and discusses where the data can be stored and how to scale the persistent container layer. Alvin includes code samples and interactive demos showing the power of Docker Machine, Engine, Swarm, and Compose, before demonstrating how to combine them with multihost networking to build a reliable, scalable, and production-ready tier for the data needs of your organization.
Hadoop and NoSQL databases have emerged as leading choices by bringing new capabilities to the field of data management and analysis. At the same time, the RDBMS, firmly entrenched in most enterprises, continues to advance in features and varieties to address new challenges.
Join us for a special roundtable webcast on April 7th to learn:
The key differences between Hadoop, NoSQL and RDBMS today
The key use cases
How to choose the best platform for your business needs
When a hybrid approach will best fit your needs
Best practices for managing, securing and integrating data across platforms
Using Databases and Containers From Development to DeploymentAerospike, Inc.
We cover the following topics:
Using Docker to Orchestrate a multi container application (Flask + Aerospike)
Injecting HAProxy and other production requirements as we deploy to production
Scaling the Web and Aerospike clusters to grow to meet demand
In this talk we review what Docker is and why it’s important to Developers, Admins and DevOps when they are using a NoSQL Database such as Aerospike, the high performance NoSQL Database. Persistence is a critical element for a successful multi-Container strategy. We also cover the following topics: Using Docker to Orchestrate a multi container application (Flask + Aerospike) Injecting HAProxy and other production requirements as we deploy to production Scaling the Web and Aerospike clusters to grow to meet demand This presentation led by Alvin Richards, VP of Product at Aerospike includes an interactive demo showcasing the core Docker components (Machine, Engine, Swarm and Compose) along with Aerospike’s integration. We hope you will see how much simpler Docker can make building and deploying multi-node Aerospike based applications.
In this presentation, Glassbeam Principal Architect Mohammad Guller gives an overview of Spark, and discusses why people are replacing Hadoop MapReduce with Spark for batch and stream processing jobs. He also covers areas where Spark really shines and presents a few real-world Spark scenarios. In addition, he reviews some misconceptions about Spark.
Running a High Performance NoSQL Database on Amazon EC2 for Just $1.68/HourAerospike, Inc.
Rajkumar Iyer and Sunil Sayyaparaju reveal how their team proved that cost-effective, high performance in the cloud isn’t a myth. They will walk through the 10-step process to efficiently set up high-performance instances on Amazon EC2 with Aerospike.
ACID & CAP: Clearing CAP Confusion and Why C In CAP ≠ C in ACIDAerospike, Inc.
Aerospike founder & VP of Engineering & Operations Srini Srinivasan, and Engineering Lead Sunil Sayyaparaju, will review the principles of the CAP Theorem and how they apply to the Aerospike database. They will give a brief technical overview of ACID support in Aerospike and describe how Aerospike’s continuous availability and practical approach to avoiding partitions provides the highest levels of consistency in an AP system. They will also show how to optimize Aerospike and describe how this is achieved in numerous real world scenarios.
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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Welcome to distributing data the Aerospike way. This is an introductory presentation on the basics of how data can be parceled out in a distributed database. There are many ways to do this and we will be covering the plusses and minuses are for each.This is a pretty dry concept, so to make it a LITTLE more entertaining, we have an alternative, less dry title to this. Which is…
You may ask: “So why this alternate title?” As you take a look at the picture there may not seem to be much similarity between the two. But this is a situation most, if not all, of us have been through and there are some real similarities.
So let’s think about how you might do this on a small scale. Assume there are only 20 registrants.You would have a single table and give each person their registration package. This includes information specific to him/her. They will have their own class schedule and of course name tag.So what happens as the conference attendance grows. If you reach the point were there are thousand of registrants? How do you scale up?
We have all been in lines and seen the impact that the system uses. One way is to simply scale up the hardware on your single server. Another is to distribute the load. There are a number of ways to do this.Let’s start by taking a look at vertical scaling.
Vertical scaling has the virtue of being relatively simple. By making full use of the best hardware, you can handle more transactions.Because you are still dealing with a single server, you don’t have any problems with questions like:How do you distribute and map the data to different registration desks?What happens if two registrants check in at different booths?However, these benefits only work to some level. After that the minuses of this strategy become an issue.
Generally, upgrading a single server is simple. But the added costs in hardware can be considerable. A 64 core server is not cheap. Everyone does what they can to keep a monolithic database up. This includesRedundant power suppliesSometimes independent power sourcesRAID diskRedundant network connectionsBut even with this, servers may still go down. In some cases this is intentional, like for maintenance and upgrades. How many of up have tried to pay a bill online on Saturday night and found that the database is down?Even with all this, you may find that the business requirements still go beyond what you can do on a single server.So let’s look at what horizontal scaling offers.
Horizontal scaling means that the load and data will be distributed among many servers.There are several different strategies for this, along with different spins on each. If you are thinking about using a distributed database, there are a series of things you should look for.
Horizontal scaling can provide many benefits. Let’s take a look at some of the major features.This might seem odd, but first, you want features that prevent you from having to think about having a distributed database.
Simple sharding is based on distributing data according to simple patterns, like grouping people by last name.Hashed sharding is similar, but uses a computer algorithm to hash the key.Master-slave means that there is a master that helps determine what data goes where. The master controls how the data is distributed and must be consulted when accessing the data again.
The cluster
Horizontal scaling can provide many benefits. Let’s take a look at some of the major features.This might seem odd, but first, you want features that prevent you from having to think about having a distributed database.
How do have long running task (data re-balancing and back-up) and also doing short term transaction – do not starve – real time prioritization – while still keep short term with SLAs.Shared nothing:Allows upgrading of software in a rolling way (releases are backwardly compatible)Robust way of building cluster db systemsEach of our cluster notes is identicalBunch of nodes and bunch of clients.Even though node is identical – received/send data rebalancing, needs to second or third copy of data, as you add nodes will share proportional part of the dataMakes systems operations much simpler.Clusters are tightly coupled – nodes are close to each other - millisecondClusters are self configuring.Multicast (cloud we use mesh).Everything is synchronus within a cluster.Remote clusters are asynchronous.