In my 35 years in IT, I have never seen so much simultaneous change in technology. Every part of the IT stack is in transition - end user devices, networks, application design, virtual server software, physical server design, storage systems, and even storage media. Some of these transitions are well underway and will accelerate in 2015 while others are just starting to emerge. Either way, buckle up! IT is going to be a wild ride in 2015.
Bridging the Last Mile: Getting Data to the People Who Need ItDenodo
Watch full webinar here: https://bit.ly/3cUA0Qi
Many organizations are embarking on strategically important journeys to embrace data and analytics. The goal can be to improve internal efficiencies, improve the customer experience, drive new business models and revenue streams, or – in the public sector – provide better services. All of these goals require empowering employees to act on data and analytics and to make data-driven decisions. However, getting data – the right data at the right time – to these employees is a huge challenge and traditional technologies and data architectures are simply not up to this task. This webinar will look at how organizations are using Data Virtualization to quickly and efficiently get data to the people that need it.
Attend this session to learn:
- The challenges organizations face when trying to get data to the business users in a timely manner
- How Data Virtualization can accelerate time-to-value for an organization’s data assets
- Examples of leading companies that used data virtualization to get the right data to the users at the right time
Why edge computing is critical to hybrid IT and cloud successClearSky Data
There's too much data growth to keep it all local, but sending data to the cloud can introduce performance, latency and access issues. Edge computing alleviates all three.
A Journey to the Cloud with Data VirtualizationDenodo
Watch this Fast Data Strategy Virtual Summit with speakers Cijo Thomas Isaac, Big Data Architect, Asurion & Nick Sarkisian, Associate Vice President - North America Analytics Head, HCL here: https://buff.ly/2KwLvj3
While Asurion expanded its operations globally, their global client base expected highest quality customer service, something Asurion prides itself with. At the same time Asurions brand new digital home premium support required strong predictive analytics, IoT and big data architecture support to provide their customers with the best user experience.
Attend this session to learn:
• How Asurion built its hybrid cloud environment using data virtualization
• Why centralizing security and data governance is key to their data architecture
• Why data virtualization is important for their advanced analytics and data science
MSPs: Give customers the cloud (without letting them float away)ClearSky Data
The MSP business model thrives when providers add features, solutions and expertise, while also delivering the consumption models customers expect in today’s hybrid world.
Bridging the Last Mile: Getting Data to the People Who Need ItDenodo
Watch full webinar here: https://bit.ly/3cUA0Qi
Many organizations are embarking on strategically important journeys to embrace data and analytics. The goal can be to improve internal efficiencies, improve the customer experience, drive new business models and revenue streams, or – in the public sector – provide better services. All of these goals require empowering employees to act on data and analytics and to make data-driven decisions. However, getting data – the right data at the right time – to these employees is a huge challenge and traditional technologies and data architectures are simply not up to this task. This webinar will look at how organizations are using Data Virtualization to quickly and efficiently get data to the people that need it.
Attend this session to learn:
- The challenges organizations face when trying to get data to the business users in a timely manner
- How Data Virtualization can accelerate time-to-value for an organization’s data assets
- Examples of leading companies that used data virtualization to get the right data to the users at the right time
Why edge computing is critical to hybrid IT and cloud successClearSky Data
There's too much data growth to keep it all local, but sending data to the cloud can introduce performance, latency and access issues. Edge computing alleviates all three.
A Journey to the Cloud with Data VirtualizationDenodo
Watch this Fast Data Strategy Virtual Summit with speakers Cijo Thomas Isaac, Big Data Architect, Asurion & Nick Sarkisian, Associate Vice President - North America Analytics Head, HCL here: https://buff.ly/2KwLvj3
While Asurion expanded its operations globally, their global client base expected highest quality customer service, something Asurion prides itself with. At the same time Asurions brand new digital home premium support required strong predictive analytics, IoT and big data architecture support to provide their customers with the best user experience.
Attend this session to learn:
• How Asurion built its hybrid cloud environment using data virtualization
• Why centralizing security and data governance is key to their data architecture
• Why data virtualization is important for their advanced analytics and data science
MSPs: Give customers the cloud (without letting them float away)ClearSky Data
The MSP business model thrives when providers add features, solutions and expertise, while also delivering the consumption models customers expect in today’s hybrid world.
Cloud data management enables forward thinking companies to reduce the cost of managing enterprise data and still provide security, compliance, performance and easy access. As content ages, it loses value, but organizations can still monetize their less current data through modern SaaS-based solutions.
What Healthcare Organizations Need to Know about Hybrid Data StorageClearSky Data
By adopting a hybrid data storage architecture, healthcare organizations can focus on growing their businesses while reducing storage infrastructure costs.
Webinar: Which Storage Architecture is Best for Splunk Analytics?Storage Switzerland
We discuss the pros and cons of the three most common storage architectures for Splunk, enabling you to decide which makes the most sense for your organization.
1. Leverage existing storage resources
2. Deploy a cloud storage and SaaS solution
3. Deploy a hybrid, Splunk-ready solution
Exploring the Wider World of Big Data- Vasalis KapsalisNetAppUK
Every second of every day you hear about Electronic systems creating ever increasing quantities of data. Systems in markets such as finance, media, healthcare, government and scientific research feature strongly in the Big Data processing conversation. While extracting business value from Big Data is forecast to bring customer and competitive advantage and benefits. In this session hear Vas Kapsalis, NetApp Big Data Business Development Manager, discuss his views and experience on the wider world of Big Data.
Analyst Keynote: TDWI: Data Virtualization as a Data Management Strategy for ...Denodo
Watch full webinar here: https://bit.ly/3rnxYzr
In this presentation, TDWI analyst will describe data virtualization as an appropriate data management strategy when advanced analytics applications demand very fresh data or when advanced analytics data is distributed across multiple data platforms in a hybrid data architecture.
Role of Unified AI and ML in Cloud Technologies. Which Cloud Service Provider...Denodo
Watch full webinar here: https://bit.ly/3hpTRep
AI and ML help automate many of the enterprise tasks. What role do they play in cloud technologies? And, different cloud service providers (CSP) claim AI and ML capabilities within their technologies. But which one has better support for data science? Does any one CSP provide better tools and automation for data scientists to perform their analysis with ease and speed? The Chief AI Architect from UST will elaborate on the differences between cloud technologies for supporting AI, ML, and data science. Do you have additional questions that you want answered on this subject? Then bring them on.
Watch full webinar here: https://bit.ly/2Y0vudM
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Register to attend this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise?
The Enterprise File Fabric for Google Cloud PlatformHybrid Cloud
The Enterprise File Fabric™ solution from Storage Made
Easy® enables firms to easily and quickly move large files
between storage tiers within the data center, and externally
to and from storage in GCP and other clouds with no extra
charges for metered data or bandwidth usage. No expensive
hardware is needed, nor is proprietary software required at
each site and storage service.
How Consistent Data Services Deliver Simplicity, Compatibility, And Lower CostDana Gardner
A transcript of a discussion on the latest technologies and products delivering common data services across today’s hybrid cloud, distributed data centers, and burgeoning edge landscapes.
KEYNOTE: Edge optimized architecture for fabric defect detection in real-timeShuquan Huang
In textile industry, fabric defect relies on human inspection traditionally, which is inaccurate, inconsistent, inefficient and expensive. There were automatic systems developed on the defect detection by identifying the faults in fabric surface using the image and video processing techniques. However, the existing solution has insufficiencies in defect data sharing, backhaul interconnect, maintenance and etc. By evolving to an edge-optimized architecture, we can help textile industry improve fabric quality, reduce operation cost and increase production efficiency. In this session, I’ll share:
What’s edge computing and why it’s important to intelligence manufacturing
What’s the characteristics, strengths and weaknesses of traditional fabric defect detection method
Why textile industry can benefit from edge computing infrastructure
How to design and implement an edge-enabled application for fabric defect detection in real-time
Insights, synergy and future research directions
Data Virtualization for Compliance – Creating a Controlled Data EnvironmentDenodo
CIT modernized its data architecture in response to intense regulatory scrutiny. In this presentation, they present how data virtualization is being used to drive standardization, enable cross-company data integration, and serve as a common provisioning point from which to access all authoritative sources of data.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/CCqUeT.
Load Balancing and Data Management in Cloud Computingijtsrd
Cloud computing is an online storage media where we access, store and manage the data. It stores the data on remote servers rather than a local server and that data can be accessed through the internet. For example Google Drive is personal cloud storage from Google. When there are number of request in cloud computing, then load balancer is used to distribute request between the remote servers and efficiently handle those request. Load balancer distributes client request or network load efficiently across multiple servers. By using cloud infrastructure, we don't have to spend huge amount of money on purchasing and maintaining equipment. Cloud data management is a way to manage data across cloud platforms, either with or instead of on premises storage. Deepali Rai | Dinesh Kumar "Load Balancing and Data Management in Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31035.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/31035/load-balancing-and-data-management-in-cloud-computing/deepali-rai
Know whether cloud based storage or dedicated storage is best for your business IT infrastructure depending on our organization requirements. Check Netmagic’s outlooks.
Data storage and networking are no exceptions. Development is moving fast, and tipping points have already tipped: the cloud, nextgen networks, Internet of Things (IoT), innovative le systems, NVMe SSD. These technologies are active today in enterprise data centers and in the public clouds that serve them.
Cloud data management enables forward thinking companies to reduce the cost of managing enterprise data and still provide security, compliance, performance and easy access. As content ages, it loses value, but organizations can still monetize their less current data through modern SaaS-based solutions.
What Healthcare Organizations Need to Know about Hybrid Data StorageClearSky Data
By adopting a hybrid data storage architecture, healthcare organizations can focus on growing their businesses while reducing storage infrastructure costs.
Webinar: Which Storage Architecture is Best for Splunk Analytics?Storage Switzerland
We discuss the pros and cons of the three most common storage architectures for Splunk, enabling you to decide which makes the most sense for your organization.
1. Leverage existing storage resources
2. Deploy a cloud storage and SaaS solution
3. Deploy a hybrid, Splunk-ready solution
Exploring the Wider World of Big Data- Vasalis KapsalisNetAppUK
Every second of every day you hear about Electronic systems creating ever increasing quantities of data. Systems in markets such as finance, media, healthcare, government and scientific research feature strongly in the Big Data processing conversation. While extracting business value from Big Data is forecast to bring customer and competitive advantage and benefits. In this session hear Vas Kapsalis, NetApp Big Data Business Development Manager, discuss his views and experience on the wider world of Big Data.
Analyst Keynote: TDWI: Data Virtualization as a Data Management Strategy for ...Denodo
Watch full webinar here: https://bit.ly/3rnxYzr
In this presentation, TDWI analyst will describe data virtualization as an appropriate data management strategy when advanced analytics applications demand very fresh data or when advanced analytics data is distributed across multiple data platforms in a hybrid data architecture.
Role of Unified AI and ML in Cloud Technologies. Which Cloud Service Provider...Denodo
Watch full webinar here: https://bit.ly/3hpTRep
AI and ML help automate many of the enterprise tasks. What role do they play in cloud technologies? And, different cloud service providers (CSP) claim AI and ML capabilities within their technologies. But which one has better support for data science? Does any one CSP provide better tools and automation for data scientists to perform their analysis with ease and speed? The Chief AI Architect from UST will elaborate on the differences between cloud technologies for supporting AI, ML, and data science. Do you have additional questions that you want answered on this subject? Then bring them on.
Watch full webinar here: https://bit.ly/2Y0vudM
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Register to attend this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise?
The Enterprise File Fabric for Google Cloud PlatformHybrid Cloud
The Enterprise File Fabric™ solution from Storage Made
Easy® enables firms to easily and quickly move large files
between storage tiers within the data center, and externally
to and from storage in GCP and other clouds with no extra
charges for metered data or bandwidth usage. No expensive
hardware is needed, nor is proprietary software required at
each site and storage service.
How Consistent Data Services Deliver Simplicity, Compatibility, And Lower CostDana Gardner
A transcript of a discussion on the latest technologies and products delivering common data services across today’s hybrid cloud, distributed data centers, and burgeoning edge landscapes.
KEYNOTE: Edge optimized architecture for fabric defect detection in real-timeShuquan Huang
In textile industry, fabric defect relies on human inspection traditionally, which is inaccurate, inconsistent, inefficient and expensive. There were automatic systems developed on the defect detection by identifying the faults in fabric surface using the image and video processing techniques. However, the existing solution has insufficiencies in defect data sharing, backhaul interconnect, maintenance and etc. By evolving to an edge-optimized architecture, we can help textile industry improve fabric quality, reduce operation cost and increase production efficiency. In this session, I’ll share:
What’s edge computing and why it’s important to intelligence manufacturing
What’s the characteristics, strengths and weaknesses of traditional fabric defect detection method
Why textile industry can benefit from edge computing infrastructure
How to design and implement an edge-enabled application for fabric defect detection in real-time
Insights, synergy and future research directions
Data Virtualization for Compliance – Creating a Controlled Data EnvironmentDenodo
CIT modernized its data architecture in response to intense regulatory scrutiny. In this presentation, they present how data virtualization is being used to drive standardization, enable cross-company data integration, and serve as a common provisioning point from which to access all authoritative sources of data.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/CCqUeT.
Load Balancing and Data Management in Cloud Computingijtsrd
Cloud computing is an online storage media where we access, store and manage the data. It stores the data on remote servers rather than a local server and that data can be accessed through the internet. For example Google Drive is personal cloud storage from Google. When there are number of request in cloud computing, then load balancer is used to distribute request between the remote servers and efficiently handle those request. Load balancer distributes client request or network load efficiently across multiple servers. By using cloud infrastructure, we don't have to spend huge amount of money on purchasing and maintaining equipment. Cloud data management is a way to manage data across cloud platforms, either with or instead of on premises storage. Deepali Rai | Dinesh Kumar "Load Balancing and Data Management in Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31035.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/31035/load-balancing-and-data-management-in-cloud-computing/deepali-rai
Know whether cloud based storage or dedicated storage is best for your business IT infrastructure depending on our organization requirements. Check Netmagic’s outlooks.
Data storage and networking are no exceptions. Development is moving fast, and tipping points have already tipped: the cloud, nextgen networks, Internet of Things (IoT), innovative le systems, NVMe SSD. These technologies are active today in enterprise data centers and in the public clouds that serve them.
Shamit khemka list outs 6 technology trends for 2015SynapseIndia
Originally, We figured we'd reel off some predictions about the coming year. But we're at one of those rare junctures when a bunch of trends have begun to crystallize and We're pretty sure many of them will persist for more than 12 months. Shamit Khemka list outs technology trends.
SynapseIndia technologies and data-driven solutions help our clients grow their businesses. Take a look at the technologies that we specialize in: https://www.synapseindia.jobs/strengths-technologies/
Software Defined Storage Accelerates Storage Cost ReductionDataCore Software
IDC, a major global market intelligence firm, assesses DataCore in the Software-Defined Storage (SDS) space. DataCore is one of the leading providers of hardware independent storage virtualization software. Its customers are actively leveraging the benefits of software-defined storage in IT environments ranging from large datacenters to more modest computer rooms, thereby getting better use from pre-existing storage equipment.
This IDC Technology Spotlight discusses the emerging storage architecture of software-defined storage and how DataCore enables its customers to take advantage of it today.
Software-Defined Storage Accelerates Storage Cost Reduction and Service-Level...DataCore Software
In this White Paper, IDC, a major global market intelligence firm assesses DataCore in the Software-Defined Storage (SDS) space.
DataCore is one of the leading providers of hardware independent storage virtualization software. Its customers are actively leveraging the benefits of software-defined storage in IT environments ranging from large datacenters to more modest computer rooms, thereby getting better use from pre-existing storage equipment.
This White Paper further discusses the emerging storage architecture of software-defined storage and how DataCore enables its customers to take advantage of it today.
Download this IDC White Paper to learn about:
- The four major forces that have led to a major transformation in changing the way we use IT to do our jobs and how datacenters need to adapt.
- Why companies are switching to SDS and the benefits, including significant reductions in cost, that they can expect upon adoption.
- An Overview of DataCore’s SDS solution and the key differentiators that make it well equipped to handle the next generation of storage challenges.
50 Shades of Grey in Software-Defined StorageStorMagic
Software-Defined Storage (SDS) has become a meme in industry and trade press discussions of storage technology lately, though the term itself lacks rigorous technical definition. Essentially, SDS is touted as a model for building storage that will work better with virtualized workloads running under server hypervisor technology than do "legacy" NAS and SAN infrastructure. Regardless of the veracity of these claims, the business-savvy IT planner should base his or her choice of storage infrastructure not on trendy memes, but on traditional selection criteria: cost, availability, and simplicity.
Read Jon Toigo's analysis of SDS, and then see for yourself what a cost effective, high availability and simple solution can do for you. Get your free trial of StorMagic SvSAN today: http://stormagic.com/trial/
VMblog - 2020 IT Predictions from 26 Industry Expertsvmblog
Find out what's going on in the world of #artificialintelligence, #machinelearning, #cloud, #kubernetes, #containers, #virtualization, #security, #disasterrecovery, #networking, #data and so much more in 2020. Read these #predictions from 26 of the industry's leading experts to learn more! Hear from industry thought leaders from companies like Altaro, Citrix, Commvault, Datacore, IGEL, Kaspersky, Liquidware, SolarWinds, Veeam, Vembu, VMware and more. And make sure to also read the more than 430+ other expert predictions here: http://bit.ly/2QVorPI at VMblog.com.
Enterprise data-centers are straining to keep pace with dynamic business demands, as well as to incorporate advanced technologies and architectures that aim to improve infrastructure performance
DevOps the NetApp Way: 10 Rules for Forming a DevOps TeamNetApp
Does your enterprise IT organization practice DevOps without a common team approach? To create a standardized way for development and operations teams to work together at NetApp, the IT team differentiates a DevOps team from a regular development team based on these 10 rules.
Spot Lets NetApp Get the Most Out of the CloudNetApp
Prior to NetApp acquiring Spot.io, two of its IT teams had adopted Spot in their operations: Product Engineering for Cloud Volumes ONTAP test automation and NetApp IT for corporate business applications. Check out the results in this infographic.
NetApp has fully embraced tools that allow for seamless, collaborative work from home, and as a result was fully prepared to minimize COVID-19's impact on how we conduct business. Check out this infographic for a look at results from the new remote work reality.
4 Ways FlexPod Forms the Foundation for Cisco and NetApp SuccessNetApp
At Cisco and NetApp, seeing our customers succeed in their digital transformations means that we’ve succeeded too. But that’s only one of the ways we measure our performance. What’s another way? Hearing how our wide-ranging IT support helps Cisco and NetApp thrive. Here’s what makes FlexPod an indispensable part of Cisco’s and NetApp’s IT departments.
With the widespread adoption of hybrid multicloud as the de-facto architecture for the enterprise, organizations everywhere are modernizing to deliver tangible business value around data-intensive applications and workloads such as AI-driven IoT and Hyperledgers. Shifting from on-premises to public cloud services, private clouds, and moving from disk to flash – sometimes concurrently – opens the door to enormous potential, but also the unintended consequence of IT complexity.
With the widespread adoption of hybrid multicloud as the de facto IT architecture for the enterprise, organizations everywhere are modernizing to deliver tangible business value around data-intensive applications and workloads such as AI-driven IoT and indelible ledgers.
10 Reasons Why Your SAP Applications Belong on NetAppNetApp
NetApp has been supporting SAP for 20 years, delivering advanced solutions for SAP applications. Here are 10 reasons why your SAP applications belong on NetApp!
Redefining HCI: How to Go from Hyper Converged to Hybrid Cloud InfrastructureNetApp
The hyper converged infrastructure (HCI) market is entering a new phase of maturity. A modern HCI solution requires a private cloud platform that integrates with public clouds to create a consistent hybrid multi-cloud experience.
During this webinar, NetApp and an IDC guest speaker covered what led to the next generation of hyper converged infrastructure and which five capabilities are required to go from hyper converged to hybrid cloud infrastructure.
As we enter 2019, what stands out is how trends in business and technology are connected by common themes. For example, AI is at the heart of trends in development, data management, and delivery of applications and services at the edge, core, and cloud. Also essential are containerization as a critical enabling technology and the increasing intelligence of IoT devices at the edge. Navigating the tempests of transformation are developers, whose requirements are driving the rapid creation of new paradigms and technologies that they must then master in pursuit of long-term competitive advantage. Here are some of our perspectives and predictions for 2019.
Künstliche Intelligenz ist in deutschen Unter- nehmen ChefsacheNetApp
Einer aktuellen Umfrage des führenden Datenma- nagementspezialisten in der Hybrid Cloud NetApp zufolge gewinnt künstliche Intelligenz (KI) in deut- schen Unternehmen zunehmend an Relevanz.
Iperconvergenza come migliora gli economics del tuo ITNetApp
In this NetApp Webinar we present how NetApp HCI helps improve the economics of IT: accelerating and ensuring performance for each application, simplifying your Data Center and make your architecture more scalable by reducing waste, implementing and expanding your HCI infrastructure quickly and inexpensively, making your management even simpler and more intuitive, saving time and using the skills you already have in the company.
NetApp IT’s Tiered Archive Approach for Active IQNetApp
NetApp AutoSupport technology proactively monitors the health of NetApp systems installed at customer’s location and provides 24/7 actionable intelligence to optimize their storage environment. The amount of data received back to NetApp doubles approximately every 16 months. To manage the swelling waves of data to archive, NetApp IT sought a more flexible solution.
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.
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
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
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/
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.