Slides for the webinar presented by Risk Focus on automating large scale Splunk deployments with Cloud Orchestration.
More details available here:
http://cloudify.co/webinar/Automating-Splunk-Large-Scale
Digital Velocity 2014: "The Holy Grail of Digital Data Analytics"Tealium
Presentation by Rahul Deshmukh, Director, Digital Intelligence, Splunk & Joe Brown, Director Digital Analytics, Lincoln Financial Group
What happens when you collect the richest data possible from your web and mobile apps, enrich it with other relevant digital data and leverage a platform designed for real-time, ad-hoc analysis?
Visão geral sobre a solução iDefense da VeriSign de resposta a incidentes em tempo real, remediação de fraudes on-line, gerenciamento de riscos, conhecimentos dos impactos globais das ameaças, proteção proativa, entre outros benefícios.
Empower Splunk and other SIEMs with the Databricks Lakehouse for CybersecurityDatabricks
Cloud, Cost, Complexity, and threat Coverage are top of mind for every security leader. The Lakehouse architecture has emerged in recent years to help address these concerns with a single unified architecture for all your threat data, analytics and AI in the cloud. In this talk, we will show how Lakehouse is essential for effective Cybersecurity and popular security use-cases. We will also share how Databricks empowers the security data scientist and analyst of the future and how this technology allows cyber data sets to be used to solve business problems.
Threat Detection and Response at Scale with Dominique BrezinskiDatabricks
Security monitoring and threat response has diverse processing demands on large volumes of log and telemetry data. Processing requirements span from low-latency stream processing to interactive queries over months of data. To make things more challenging, we must keep the data accessible for a retention window measured in years. Having tackled this problem before in a massive-scale environment using Apache Spark, when it came time to do it again, there were a few things I knew worked and a few wrongs I wanted to right.
We approached Databricks with a set of challenges to collaborate on: provide a stable and optimized platform for Unified Analytics that allows our team to focus on value delivery using streaming, SQL, graph, and ML; leverage decoupled storage and compute while delivering high performance over a broad set of workloads; use S3 notifications instead of list operations; remove Hive Metastore from the write path; and approach indexed response times for our more common search cases, without hard-to-scale index maintenance, over our entire retention window. This is about the fruit of that collaboration.
Digital Velocity 2014: "The Holy Grail of Digital Data Analytics"Tealium
Presentation by Rahul Deshmukh, Director, Digital Intelligence, Splunk & Joe Brown, Director Digital Analytics, Lincoln Financial Group
What happens when you collect the richest data possible from your web and mobile apps, enrich it with other relevant digital data and leverage a platform designed for real-time, ad-hoc analysis?
Visão geral sobre a solução iDefense da VeriSign de resposta a incidentes em tempo real, remediação de fraudes on-line, gerenciamento de riscos, conhecimentos dos impactos globais das ameaças, proteção proativa, entre outros benefícios.
Empower Splunk and other SIEMs with the Databricks Lakehouse for CybersecurityDatabricks
Cloud, Cost, Complexity, and threat Coverage are top of mind for every security leader. The Lakehouse architecture has emerged in recent years to help address these concerns with a single unified architecture for all your threat data, analytics and AI in the cloud. In this talk, we will show how Lakehouse is essential for effective Cybersecurity and popular security use-cases. We will also share how Databricks empowers the security data scientist and analyst of the future and how this technology allows cyber data sets to be used to solve business problems.
Threat Detection and Response at Scale with Dominique BrezinskiDatabricks
Security monitoring and threat response has diverse processing demands on large volumes of log and telemetry data. Processing requirements span from low-latency stream processing to interactive queries over months of data. To make things more challenging, we must keep the data accessible for a retention window measured in years. Having tackled this problem before in a massive-scale environment using Apache Spark, when it came time to do it again, there were a few things I knew worked and a few wrongs I wanted to right.
We approached Databricks with a set of challenges to collaborate on: provide a stable and optimized platform for Unified Analytics that allows our team to focus on value delivery using streaming, SQL, graph, and ML; leverage decoupled storage and compute while delivering high performance over a broad set of workloads; use S3 notifications instead of list operations; remove Hive Metastore from the write path; and approach indexed response times for our more common search cases, without hard-to-scale index maintenance, over our entire retention window. This is about the fruit of that collaboration.
Deep Learning in Security - Examples, Infrastructure, Challenges, and Suggest...DataWorks Summit
Recently, deep learning has delivered ground-breaking advances in many industries by delivering human-like understanding for difficult cognition problems. We will share our empirical experiences of applying deep learning to some real-world security challenges, together with leant lessons and suggestions.
1. Examples
We are going to explain our innovative User & Entity Behavior Analytics (UEBA) solution which includes 2 deep learning examples: 1. user and entity behavior anomaly detection using Convolutional Neural Network (CNN), 2. stateful user risk scoring using Long Short Term Memory (LSTM), in order to detect slow-gestating and multi-stage targeted attacks. We are also going to share several real-life use cases of successfully detecting compromised users and malicious insiders in big enterprises.
2. Infrastructure
The production data processing and analytics workflow is developed using Spark, Spark Streaming and TensorFlow. We will share the experience of managing and tuning distributed TensorFlow and Spark on a middle/small size cluster in both SAS and on-premises deployments. This includes how to manage and split resources between Spark and TensorFlow, how to split and tune workloads between parameter servers and worker servers in TensorFlow, etc.
3. Challenges and Guidance
At the end, we are going to discuss the special challenges of applying deep learning (or general ML) into security than most other consumer industries, e.g., lack of large volume of high-quality labeled data, interpretation of models, fast detection, high cost of inaccurate detections.
Human intelligence – including knowledge of both enterprise business context and security heuristics – is a very precious resource to help cover these gaps. Thus any effective security ML solution has to have well integrated human and machine intelligence.
To achieve this partnership, there are several suggestions based on our current experiences, e.g., mix of complex and simple models, reinforcement learning based on human feed, pairing probabilistic ML results with deterministic forensic data.
StreamAnalytix is a software platform that enables enterprises to analyze and respond to events in real-time at Big Data scale. It is designed to rapidly build and deploy streaming analytics applications for any industry vertical, any data format, and any use case.
Building a Real-Time Security Application Using Log Data and Machine Learning...Sri Ambati
Building a Real-Time Security Application Using Log Data and Machine Learning- Karthik Aaravabhoomi
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
Enterprise Data Hub: The Next Big Thing in Big DataCloudera, Inc.
If you missed Strata + Hadoop World, you missed quite a bit. This year's event was packed with Big Data practitioners across industries who shared their experiences and how they are driving new innovations like never before. Just because you weren't there, doesn't mean you missed out.
In this session, we'll touch on a few of the key highlights from the show, including:
Key trends in Big Data adoption
The enterprise data hub
How the enterprise data hub is used in practice
Building a future-proof cyber security platform with Apache MetronDataWorks Summit
Qsight IT gives you insight in how we use Metron in securing our customers by continuously analyzing and monitoring users, applications, data, and networks. We show you how we implemented Metron as a replacement for our former security platform based on rule-based security. Since we are dealing with a non-conventional use case “serving many customers with one platform,” we developed a business classification module that enables us to score threats according to the customer’s input.
To be future ready, we are working on extending this rule-based way of detection with machine learning models like web defacement, suspicious URL’s, UEBA, and many more to come.
In order to provide all the necessary information to the SOC analysts at a glance, we are developing a custom SOC application from where they can handle security alarms, analyze captured data, and have historical data at hand. We regard our new Metron based Security Platform as an emerging giant—a future-proof cyber security platform!
Speaker
Bas van de Lustgraaf, Big Data Engineer, QSight IT
Machiel van Tilborg, BI Engineer, QSight IT
Get full visibility and find hidden security issuesElasticsearch
Learn key practices in data collection and normalization to expand visibility into your environment. See how you can use Elastic Security to quickly and accurately triage, verify, and scope issues.
Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Panel - Interactive Applic...Data Con LA
In this interactive panel discussion, you will hear from these Spark experts as to why they chose to go "all-in" on Spark, leveraging the rich core capabilities that make Spark so exciting, and committing to significant IP that turns Spark into a world-class enterprise data preparation engine.
Raymond and David will explain specific cases where capabilities were built on top of core Spark to provide a true interactive data prep application experience. Innovations such as creating a Domain Specific Language (DSL), an optimizing compiler, a persistent columnar caching layer, application specific Resilient Distributed Datasets (RDDs), on-line aggregation operators to solve the core memory, pipelining and shuffling obstacles to produce a highly interactive application with the core user and data volume scale-out benefits of Spark.
Using the Yahoo Cloud Storage Benchmark (YCSB) , we show that Xanadu outperforms other NoSQL databases while offering strong consistency, high throughput, low latency and high scalability.
Threat Hunting with Elastic at SpectorOps: Welcome to HELKElasticsearch
HELK offers another approach for advanced cyber-hunting analytics, focusing on the importance of data documentation, quality, and modeling when developing analytics and making sense of disparate data sources inside the contested environment.
Gopalakrishna, widely referred to as GK, is a Technology Management & Strategy Consultant specialized in Big data, M2M and Predictive Analytics. For more than a decade he is being actively engaged by companies like Microsoft, Oracle and Symphony on various tasks ranging from applying Machine Learning to predict component failure and machine availability, to designing RESTful Single-Sign-On (SSO) architectures for Oracle IDM Fusion Middleware, distributed CRM systems on Windows Azure for high-avaialbility, low-cost Render Farm solutions on Hadoop for high-scalability and so on.
Contact Gopalakrishna at http://gopalakrishna.palem.in/
Malware detection within enterprise networks is a critical component of an effective information security strategy. Instances of malware attacks are increasing – making them especially important to detect – and data science can help. This presentation outlines data science driven approaches to finding domains that have time and user-based co-occurrence relationships. It also includes a demonstration of a scalable and operationalizable framework to detect domain associations by analyzing the web traffic of users in any organization.
Additional information:
http://www.datasciencecentral.com/video/dsc-webinar-series-data-science-driven-approaches-to-malware
Advanced Analytics for Any Data at Real-Time Speeddanpotterdwch
The kenyote presentation from Predictive Analytics World entitled "Advanced Analytics for Any Data at Real-Time Speed" Dan Potter, CMO from Datawatch, presents a new approach to prepare, incorporate, enrich and visualize streaming data for advanced visual analysis is essential for making timelier, high-impact business decisions in tough competitive markets.
Gluon Consulting - Specialized Software Development for FinanceDennis Cabarroguis
Gluon offers specialized software development and consultancy services for fintechs and financial services SMEs.
Our unique delivery model combines London based analysis, project management and QA with delivery from our team of talented developers in the Philippines.
Results, service and care levels are those you would expect from the best front-office tech teams in London, New York and Silicon Valley. Costs? Refreshingly close to your average total outsourcing initiative, but without the risk and the hassle.
OVER 40 YEARS OF EXPERIENCE IN LONDON
Our core team members are veteran software consultants and enterprise architects with a combined 40 years of experience writing high-performance, robust and scalable software for some of the world's largest financial organizations and independent technology providers.
TECH BEFORE FINTECH
In our journeys, we built trading and portfolio analytics platforms, distributed and parallel calculation and workflow engines, high volume messaging middleware, dashboards with advanced interaction and visualization features. We did numerical and statistical computing, machine learning and semantic processing.
We produced real-time, interactive scenario analysis for one of the most profitable trading desks on the planet. We helped e-commerce and brokerage companies to scale their operations without breaking a sweat. We contributed to pioneering robotics and field automation platforms before IoT and event streams were cool.
For more info, please contact
Dennis Cabarroguis
dennis.cabarroguis@gluonconsulting.com
Deep Learning in Security - Examples, Infrastructure, Challenges, and Suggest...DataWorks Summit
Recently, deep learning has delivered ground-breaking advances in many industries by delivering human-like understanding for difficult cognition problems. We will share our empirical experiences of applying deep learning to some real-world security challenges, together with leant lessons and suggestions.
1. Examples
We are going to explain our innovative User & Entity Behavior Analytics (UEBA) solution which includes 2 deep learning examples: 1. user and entity behavior anomaly detection using Convolutional Neural Network (CNN), 2. stateful user risk scoring using Long Short Term Memory (LSTM), in order to detect slow-gestating and multi-stage targeted attacks. We are also going to share several real-life use cases of successfully detecting compromised users and malicious insiders in big enterprises.
2. Infrastructure
The production data processing and analytics workflow is developed using Spark, Spark Streaming and TensorFlow. We will share the experience of managing and tuning distributed TensorFlow and Spark on a middle/small size cluster in both SAS and on-premises deployments. This includes how to manage and split resources between Spark and TensorFlow, how to split and tune workloads between parameter servers and worker servers in TensorFlow, etc.
3. Challenges and Guidance
At the end, we are going to discuss the special challenges of applying deep learning (or general ML) into security than most other consumer industries, e.g., lack of large volume of high-quality labeled data, interpretation of models, fast detection, high cost of inaccurate detections.
Human intelligence – including knowledge of both enterprise business context and security heuristics – is a very precious resource to help cover these gaps. Thus any effective security ML solution has to have well integrated human and machine intelligence.
To achieve this partnership, there are several suggestions based on our current experiences, e.g., mix of complex and simple models, reinforcement learning based on human feed, pairing probabilistic ML results with deterministic forensic data.
StreamAnalytix is a software platform that enables enterprises to analyze and respond to events in real-time at Big Data scale. It is designed to rapidly build and deploy streaming analytics applications for any industry vertical, any data format, and any use case.
Building a Real-Time Security Application Using Log Data and Machine Learning...Sri Ambati
Building a Real-Time Security Application Using Log Data and Machine Learning- Karthik Aaravabhoomi
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
Enterprise Data Hub: The Next Big Thing in Big DataCloudera, Inc.
If you missed Strata + Hadoop World, you missed quite a bit. This year's event was packed with Big Data practitioners across industries who shared their experiences and how they are driving new innovations like never before. Just because you weren't there, doesn't mean you missed out.
In this session, we'll touch on a few of the key highlights from the show, including:
Key trends in Big Data adoption
The enterprise data hub
How the enterprise data hub is used in practice
Building a future-proof cyber security platform with Apache MetronDataWorks Summit
Qsight IT gives you insight in how we use Metron in securing our customers by continuously analyzing and monitoring users, applications, data, and networks. We show you how we implemented Metron as a replacement for our former security platform based on rule-based security. Since we are dealing with a non-conventional use case “serving many customers with one platform,” we developed a business classification module that enables us to score threats according to the customer’s input.
To be future ready, we are working on extending this rule-based way of detection with machine learning models like web defacement, suspicious URL’s, UEBA, and many more to come.
In order to provide all the necessary information to the SOC analysts at a glance, we are developing a custom SOC application from where they can handle security alarms, analyze captured data, and have historical data at hand. We regard our new Metron based Security Platform as an emerging giant—a future-proof cyber security platform!
Speaker
Bas van de Lustgraaf, Big Data Engineer, QSight IT
Machiel van Tilborg, BI Engineer, QSight IT
Get full visibility and find hidden security issuesElasticsearch
Learn key practices in data collection and normalization to expand visibility into your environment. See how you can use Elastic Security to quickly and accurately triage, verify, and scope issues.
Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Panel - Interactive Applic...Data Con LA
In this interactive panel discussion, you will hear from these Spark experts as to why they chose to go "all-in" on Spark, leveraging the rich core capabilities that make Spark so exciting, and committing to significant IP that turns Spark into a world-class enterprise data preparation engine.
Raymond and David will explain specific cases where capabilities were built on top of core Spark to provide a true interactive data prep application experience. Innovations such as creating a Domain Specific Language (DSL), an optimizing compiler, a persistent columnar caching layer, application specific Resilient Distributed Datasets (RDDs), on-line aggregation operators to solve the core memory, pipelining and shuffling obstacles to produce a highly interactive application with the core user and data volume scale-out benefits of Spark.
Using the Yahoo Cloud Storage Benchmark (YCSB) , we show that Xanadu outperforms other NoSQL databases while offering strong consistency, high throughput, low latency and high scalability.
Threat Hunting with Elastic at SpectorOps: Welcome to HELKElasticsearch
HELK offers another approach for advanced cyber-hunting analytics, focusing on the importance of data documentation, quality, and modeling when developing analytics and making sense of disparate data sources inside the contested environment.
Gopalakrishna, widely referred to as GK, is a Technology Management & Strategy Consultant specialized in Big data, M2M and Predictive Analytics. For more than a decade he is being actively engaged by companies like Microsoft, Oracle and Symphony on various tasks ranging from applying Machine Learning to predict component failure and machine availability, to designing RESTful Single-Sign-On (SSO) architectures for Oracle IDM Fusion Middleware, distributed CRM systems on Windows Azure for high-avaialbility, low-cost Render Farm solutions on Hadoop for high-scalability and so on.
Contact Gopalakrishna at http://gopalakrishna.palem.in/
Malware detection within enterprise networks is a critical component of an effective information security strategy. Instances of malware attacks are increasing – making them especially important to detect – and data science can help. This presentation outlines data science driven approaches to finding domains that have time and user-based co-occurrence relationships. It also includes a demonstration of a scalable and operationalizable framework to detect domain associations by analyzing the web traffic of users in any organization.
Additional information:
http://www.datasciencecentral.com/video/dsc-webinar-series-data-science-driven-approaches-to-malware
Advanced Analytics for Any Data at Real-Time Speeddanpotterdwch
The kenyote presentation from Predictive Analytics World entitled "Advanced Analytics for Any Data at Real-Time Speed" Dan Potter, CMO from Datawatch, presents a new approach to prepare, incorporate, enrich and visualize streaming data for advanced visual analysis is essential for making timelier, high-impact business decisions in tough competitive markets.
Gluon Consulting - Specialized Software Development for FinanceDennis Cabarroguis
Gluon offers specialized software development and consultancy services for fintechs and financial services SMEs.
Our unique delivery model combines London based analysis, project management and QA with delivery from our team of talented developers in the Philippines.
Results, service and care levels are those you would expect from the best front-office tech teams in London, New York and Silicon Valley. Costs? Refreshingly close to your average total outsourcing initiative, but without the risk and the hassle.
OVER 40 YEARS OF EXPERIENCE IN LONDON
Our core team members are veteran software consultants and enterprise architects with a combined 40 years of experience writing high-performance, robust and scalable software for some of the world's largest financial organizations and independent technology providers.
TECH BEFORE FINTECH
In our journeys, we built trading and portfolio analytics platforms, distributed and parallel calculation and workflow engines, high volume messaging middleware, dashboards with advanced interaction and visualization features. We did numerical and statistical computing, machine learning and semantic processing.
We produced real-time, interactive scenario analysis for one of the most profitable trading desks on the planet. We helped e-commerce and brokerage companies to scale their operations without breaking a sweat. We contributed to pioneering robotics and field automation platforms before IoT and event streams were cool.
For more info, please contact
Dennis Cabarroguis
dennis.cabarroguis@gluonconsulting.com
Confused by cloud? Logicalis at how and why to move to an enterprise cloud platform:
What type of Cloud do I need?
Cloud value elements
What does Cloud mean to you?
Secure, Strengthen, Automate, and Scale Modern Workloads with Red Hat & NGINXNGINX, Inc.
Learn how to support your application delivery – no matter where you are on the journey from monolithic apps to microservices.
Join this webinar to learn:
- About important considerations around digital innovation in FSI
- How to leverage automation and Ansible to deliver apps faster
- About keys to delivering modern apps securely and reliably anywhere
- How OpenShift takes the complexity out of containers
https://www.nginx.com/resources/webinars/secure-strengthen-automate-scale-modern-workloads-with-red-hat-nginx/
Financial services front and back office applications require the use of various messaging standards and formats as well as an extremely scalable data ingestion and processing platform. This slide deck describes the benefits of GigaSpaces XAP in that specific context.
As many industries, banking is undergoing a fundamental change because of the software revolution. No longer are banks competing only on interest rates and having the best traders, these days customer experience and having the best engineers are the focus. In this changing world, banks compete with new start-ups, the so-called Fintechs, and with large platform organisations such as Google, Facebook and Apple. At ING, we believe that staying ahead of the game means changing how we interact with our customers, no longer a traditional model of waiting for the customers to come to the bank through our website or apps, but to actively reach out to the customer with information that is relevant to him or her in order to make their financial life frictionless. Many of these changes are driven by reacting to all events that are relevant to the customer, and using streaming analytics to be able to reach out to the customer in milliseconds after the event occurs. Apache Flink is key for ING to achieve this. This presentation addresses how ING approaches the challenge, the role that Apache Flink plays, and the consequences regulations have on how we work with Open Source in general, and with Apache Flink (and data Artisans) in particular. This keynote takes place at Kino 3.
Gain Deep Visibility into APIs and Integrations with Anypoint MonitoringInfluxData
On average, a business supporting digital transactions now crosses 35 backend systems—and legacy tools haven’t been able to keep up. This session will cover how MuleSoft uses InfluxCloud to help power their monitoring and diagnostic solutions as well as provide end-to-end actionable visibility to APIs and integrations to help customers identify and resolve issues quickly.
Assembling your cloud orchestra: A field guide to multi-cloud managementIBM
Operating in a multi-cloud environment is a reality for most organizations today. Whether it’s human resources recruiting candidates, manufacturing tracking shipments, or marketing enticing customers, business units are doing an end-run around their own IT departments to directly access services on the cloud. Instead of ignoring or attempting to stifle organizational forays into multiple clouds, IT needs to facilitate, orchestrate and optimize enterprise multi-cloud footing. Enterprises that assemble harmonized multi-cloud platforms now can magnify their business advantage while optimizing costs. But, it won’t be easy. Join the virtual event to hear how organizations are benefiting and mitigating challenges along with best practices for a successful multi-cloud management system.
- Application Performance Management (APM) solutions manage the performance, capacity and availability of dynamic applications from the Cloud or a traditional data center.
- APM aims to diagnose application performance issues to ensure that an expected level of service is maintained.
- As part of this monitoring, two specific sets of parameters are closely tracked.
- The first being performance metrics that define end user experience for an application, the second being metrics for computational resources used by the application for a specific load.
- APM solutions not only monitor and analyze logs but also diagnose problems and assist in pro-active performance management.
- APM is most commonly used for web applications where its components can also be individually monitored to pinpoint reasons for possible delays in the system.
- Neev has partnered with APM solutions like AppDynamics and Splunk to offer them to our customers.
Advance Your IoT Strategy with Integration of PLM to Oracle Product HubJared Pettit
[Agile PLM users]
Data silos are silent productivity killers. Integrating PLM to up and downstream applications via a centralized hub is key to advancing insights, improving decisions and assuring data harmony across the extended enterprise. In these slides, which come from a Domain Systems webinar (with the same title) we explore the tools and best practices involved in driving an IIoT strategy forward.
CloudOps with OpsRamp: From Discovery to ResolutionOpsRamp
Are you able to observe, monitor and act upon cloud assets - wherever they are? In this Tech Talk, we'll discuss the role of cloud operations and review OpsRamp's unique capabilities for hybrid infrastructure discovery, monitoring, service maps, remote consoles and remediation. This Tech Talk will showcase the collective value of a unified IT operations management platform, reviewing multiple OpsRamp features and tying them to the most common CloudOps workflows.
Watch the recording here: https://www.brighttalk.com/webcast/17791/424253
Learn more at https://www.opsramp.com
Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more:
Twitter - https://www.twitter.com/OpsRamp
LinkedIn - https://www.linkedin.com/company/opsramp
Facebook - https://www.facebook.com/OpsRampHQ/
Presentation from Chesapeake Regional Tech Council\'s TechFocus Seminar on Cloud Security; Presented by Scott C Sadler, Business Development Executive - Cloud Computing, IBM US East Mid-Market & Channels on Thursday, October 27, 2011. http://www.chesapeaketech.org
Join our webinar on dealing with too many automation tools and platforms, and how the newest Cloudify 5.1 release brings in the Orchestrator of Orchestrators and how this helps.
Presenting the newest version of Cloudify - 4.6 including a orchestrated SD-WAN demo from MEF18 where Cloudify is used as the orchestration platform for uCPE based on containers.
Edge Computing: A Unified Infrastructure for all the Different PiecesCloudify Community
Edge Computing along with 5G promises to revolutionize customer experience with immersive applications that we can only imagine at this point. The edge will include PNFs, VNFs, and mobile-edge applications; requiring containers, virtual machines and bare-metal compute. But while edge computing promises numerous new revenue streams, managing and orchestrating these edge infrastructure environments is not going to be a seamless, instant process. In this webinar, experts in NFV orchestration discuss the concerns you must address in the transition to the edge, and show how you can use available open source tools to create a single management environment for PNFs, VNFs, and mobile-edge applications.
Cloudify: Open vCPE Design Concepts and Multi-Cloud OrchestrationCloudify Community
See how open vCPE can be achieved in the real world and in action, while integrating other VNFs into the service chain, while easily instantiating and managing on any cloud, leveraging open orchestration design concepts. More and more vendors are looking to not only easily onboard their VNFs to the cloud, but also build a stack that is versatile and not locked into one cloud provider or vendor. Join this webinar and learn how Datavision and Cloudify are helping deliver this end-to-end solution across the globe
While the need for network automation is becoming a key part of the overall digital transformation agenda, the reality is that the success rate behind previous attempts to drive network automation (a.k.a NFV) is only at about 30%, where the statistics show that 70% of transformation projects fail!
Converting from a three tier or monolithic application to microservices can be daunting, and often comes at a non-trivial cost or effort. So why are organizations doing it, and how do they justify the expense? We will discuss some of the practices and migration strategies used by organizations who undergo this sort of transformation, such as extracting functions through refactoring and converting them to microservices. As the journey progresses, we learn that there is no one-size-fits-all approach to making applications cloud-native… so the real question needs to be ‘how do I find the right approach for me?’ We can help you begin to answer that question for yourself, by discussing the facets of consideration such as technical, procedural, and risk tolerance to name a few.
Multi-Cloud Orchestration for Kubernetes with CloudifyCloudify Community
This presentation details Cloudify's Kubernetes plugin as well as Kubernetes Provider, offering complete integration with K8s and delivering multi-cloud container-based orchestration.
Multi-Cloud Orchestration for Kubernetes with Cloudify - Webinar PresentationCloudify Community
Watch the webinar at:
http://cloudify.co/webinars/multi-cloud-orchestration-kubernetes
Tune in as we unveil the new capabilities for maximizing use of Kubernetes with the new Cloudify Kubernetes Plugin, and the new Cloudify Kubernetes provider. Using Kubernetes with Cloudify has never been easier or more powerful, as you can now easily provision workloads on both cloud based VM’s and containers, or have total control and flexibility by using Cloudify as a Kubernetes IaaS.
Deep Work For Programmers - Reversim Summit 2017 - Pavel BrodksyCloudify Community
What is Deep work? How do we pursue it? What benefits can we reap from following the sage advice of Cal Newport, the man who coined the term? In my talk, I will explain what separates deep work from shallow work, how can any of us, especially in this industry benefit from doing more of it, and give you some specific life hacks to increase the amount and quality of the deep work you do on a daily basis.
A David vs. Goliath Tale of Triumph - Reversim Summit 2017 - Nati ShalomCloudify Community
More about our Open vCPE solution: cloudify.co/product/open-vcpe-solution
Nati Shalom tells the story of how open source startup Cloudify took on the likes of Cisco, Ericsson, and other giants and beat them by developing a solution for open network orchestration for NFV that takes significantly less time than the big vendors to implement.
Read the blog post here: http://cloudify.co/2017/10/15/tosca-onap-service-orchestration-cloudify-aria/
This presentation dives into the different concepts in TOSCA for ONAP, including types, interfaces, relationships, service modeling, and more.
Managing the Fragmented Cloud World in 2017? Tune in and watch the webinar to hear key insights from leading cloud thought leaders about the state of enterprise cloud today.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
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See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
3. Risk Focus
Expertise inTrading, Risk Management & CloudTransformation
Right-sized:
– technical organization big enough to deliver
– small enough to be efficient
Capital Markets specialists
TopTen Most Promising Cloud Banking Solution Providers of
2015 by Banking CIO Outlook Magazine
Cloudify partner with large, successful implementations
Splunk Premier partner with certified architects, consultants
3
6. APIsMessaging
layer
Standard Capital Market business process
6
Transaction
Data
Logs
Risk / Margin,Valuation Engine
Market Data
Trade Capture
Client reporting
Post-trade
Reference Data Liquidity provider
7. Cloud Infra monitoring case study
Build a private cloud atTop 5 N.A. Bank:
– Hosting over 10,000VMs
– Tools to manage provisioning, rollout process
Splunk monitors cloud service layer, and allVMs.
Delivers system and application logs across entire fleet in every
environment.
Met retention requirements for ephemeral infrastructure.
7
8. Scaling Splunk
Segregated data to support information barriers
Role-based access to allow some users to search across tenants
Leverages administration benefits of common environment
Manage varying retention requirements
Scale to adapt to Splunk growth
9. Manage the Splunk SDLC
Splunk Infrastructure as CODE
– ProvisionVM
– Install Agents
– Bootstrap Splunk install
– Configure indexers, search-heads
Follow the same SDLC for Splunk as for other software
10. Multi-Tenant Splunk for a firm-wide data lake
A rich topology with
many different
components
Deployment
sequencing can be
complex
12. Blueprint Overview
Number of nodes configurable
at deployment
“Surge” capacity or additional
tenants can be deployed in
similar manner at
scheduled/arbitrary time
Installs are automated with
minimal manual intervention
13. Cloudify and Ansible roles and responsibilities
13
Cloudify
• Interprets DSL
• ProvisionsVMs
• Defines
networking,
access policy and
permissions
• Sets up auto-
scaling policy
• Calls Ansible/SALT Ansible/SALT
• Installs
Application
Server’s packages
• Configures
Application Server
• Installs
Applications
14. How We Do It
Automation….
Infrastructure as code
Fleet configurable at deployment
Installs are automated with minimal manual intervention
“Surge” capacity or additional nodes can be deployed in a
similar manner
Log aggregation, security and infrastructure monitoring: App/System logs readily available/searchable
Run The Bank (RTB) dashboards/transaction monitoring: Operational Visibility into legacy/existing applications
Change The Bank (CTB) SDLC/DevOps transformation: Integrated into automated build/deploy/test cycle
Building support in the enterprise, and getting initial deployments done
Marrying domain knowledge to Splunk knowledge
Scaling to support entire enterprise: Automation and horizontal/vertical scaling to support multi-terabyte installations
How many of you have more than ten indexers.
Replicate this across business lines: FX/Rates, Equities, Fixed Income, Prime Brokerage
??? Add a mix of proprietary and vendor systems:
??? How many generations of technology: Mainframe, Three tier SOA, Microservices/Containers
??? How many of you have been on a call
??? How many of you have end to end monitoring
Can be deployed on private or public clouds
Can be adapted to your DevOps/Cloud toolkit of choice
Simplified Integration into Complex Ecosystems
Customizable deployment, workflows
Multi-Tenant, scalable Splunk cluster