Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation. Extract, transform and load (ETL) tools like AWC Glue bring much needed functionality. This tool enables new approaches to pulling, processing and pushing data from source to target, and introduces concepts such as performing data transformation tasks using SparkSQL scripts in Apache spark environment. However, there are shortcomings with AWS Glue, leading to a number of challenges and questions:
Every organization has requirements for policy in their environment. Some of these are essential to meet governance, and legal requirements and other are based on learning from past experience and not repeating the same mistakes. These decisions cannot tolerate human response time as they need near a real-time action. Services that are policy enabled to make the organization agile and are essential for long-term success. In this session, we will review Open Policy Agent capabilities and use cases for extending Kubernetes security. We will also demonstrate real-world customer use cases that attendees can implement coming away from this session with the Kubernetes Policy Controller .Attendees will leave understanding why policy driven security is needed for their enterprise Kubernetes deployments . They will also learn about real world actionable use cases to provide enterprise grade security policies.
Druva is the global leader in Cloud Data Protection and Management, delivering the industry's first data management-as-a-service solution that aggregates data from endpoints, servers and cloud applications and leverages the public cloud to offer a single pane of glass to enable data protection, governance and intelligence-dramatically increasing the availability and visibility of business critical information, while reducing the risk, cost and complexity of managing and protecting it. Druva's award-winning solutions intelligently collect data, and unify backup, disaster recovery, archival and governance capabilities onto a single, optimized data set. As the industry's fastest growing data protection provider, Druva is trusted by over 4,000 global organizations, and protects over 40 PB of data. Join the conversation at twitter.com/druvainc
Today, Kubernetes is the defacto standard if you want to run container workloads in a production environment. As we set out to build our next generation of products, and run them smoothly in the cloud, we needed to move to Kubernetes too! In the process of building tools like KubeXray and GoCenter we learned a whole bunch. Join this talk to learn how to get started with Kubernetes and how we got started at JFrog building our new tools. After the session you will know: How we got to Kubernetes (and why we chose it)
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation. Extract, transform and load (ETL) tools like AWC Glue bring much needed functionality. This tool enables new approaches to pulling, processing and pushing data from source to target, and introduces concepts such as performing data transformation tasks using SparkSQL scripts in Apache spark environment. However, there are shortcomings with AWS Glue, leading to a number of challenges and questions:
The graph represents a network of 1,329 Twitter users whose recent tweets contained "#DevOps", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 10 January 2019 at 23:50 UTC. The tweets in the network were tweeted over the 7-hour, 6-minute period from Thursday, 10 January 2019 at 16:29 UTC to Thursday, 10 January 2019 at 23:36 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
DevOps solutions are tying together increasingly complex tools that can be hard to manage and monitor. To check on the health of your processes you need to be dialed in to your source code, artifact management, continuous integration, delivery and deployment, static code analysis, security analysis, monitoring health, infrastructure and test automation, just to name a few. Come see how to aggregate your view of the DevOps world in practice.
Serverless Architecture is the new paradigm shift in cloud application development. It has potential to take the fundamental benefit of cloud platform leverage to another level. "Focus on your application code, not the infrastructure" All the leading cloud platform provide services to implement Serverless architecture : AWS Lambda, Azure Functions, Google Cloud Functions, IBM Openwhisk, Oracle Fn Project.
IT organizations that don't know their risk factors and exposure are likely to make investments in DevOps that don't matter. After working with several teams that lost their DevOps funding after making automation investments in areas that were not business constraints, Anne Hungate's "Know Your Numbers" model emerged. Join Anne to learn how to prioritize your DevOps improvements and demonstrate the impact and value you are delivering. After all, DevOps gets traction and funding when teams can show the business impact of doing it, so if you want your DevOps initiative to take off, be prepared to provide some metrics! You'll discover the five key questions you need to be able to answer to show that your DevOps matters, and leave with seven actions you can start taking as soon as you get back to your desk in order to improve the results of your DevOps efforts.
As the fourth industrial revolution continues to march forward, key questions remain related to the protection of software, cloud, AI, and automation intellectual property. Recent developments in Supreme Court and lower court case law will be reviewed to explain the intricacies of what inventions are eligible for patent protection, how copyright law may be used to protect application programming interfaces (APIs), and the extent to which trademark and trade secret law may have expanded relevance to the cloud.
Artificial intelligence is positively affecting our world in previously unimaginable ways across many different industries. The use of AI is particularly interesting in the cybersecurity industry because of its unique ability to scale and prevent previously unseen zero-day attacks and for automating complicated analysis and processes at machine speed. But just in the way drug cartels built their own submarines and cellphone towers to evade law enforcement, so too will cyber-criminals build their own AI systems to carry out malicious attacks. AI is a force for good and has demonstrated great success thus far in security applications; but AI can also be used for evil. Malcolm Harkins, Chief Security and Trust Officer at Cylance, will cover the basics of AI technology, how AI is currently being used for evil and suggested ways to combat AI attacks.
Most organizations are awash today in data and IT systems, yet they're still struggling mightily to use these invaluable assets to meet the rising demand for new digital solutions and customer experiences that drive innovation and growth. What's lacking are potent and effective ways to rapidly combine together on-premises IT and the numerous commercial clouds that the average organization has in place today into effective new business solutions. New research shows that delivering on multicloud experience creation both sustainably and cost-effectively at scale is the single most important way to meet this existential challenge that can create rapid business value and sustain relevancy in the market. Yet the majority of organizations have been slow to put the needed delivery capabilities in place.
IT organizations that don't know their risk factors and exposure are likely to make investments in DevOps that don't matter. After working with several teams that lost their DevOps funding after making automation investments in areas that were not business constraints, Anne Hungate's "Know Your Numbers" model emerged. Join Anne to learn how to prioritize your DevOps improvements and demonstrate the impact and value you are delivering. After all, DevOps gets traction and funding when teams can show the business impact of doing it, so if you want your DevOps initiative to take off, be prepared to provide some metrics! You'll discover the five key questions you need to be able to answer to show that your DevOps matters, and leave with seven actions you can start taking as soon as you get back to your desk in order to improve the results of your DevOps efforts.
Enterprises are adopting Kubernetes to accelerate the development and the delivery of cloud-native applications. However, sharing a Kubernetes cluster between members of the same team can be challenging. And, sharing clusters across multiple teams is even harder. Kubernetes offers several constructs to help implement segmentation and isolation. However, these primitives can be complex to understand and apply. As a result, it’s becoming common for enterprises to end up with several clusters. This leads to a waste of cloud resources and increased operational overhead.
Gartner projected that by the year 2022, smart contracts will be in use by more than 25% of global organizations despite speculative risks. Smart contracts allow blockchain applications to perform secure, immutable and valid transactions and contractual conditions without third parties. The EVP of SIGNiX, a PKI e-signature provider launching SmarTract (smart contracts to automate legal contracts and more), Pem Guerry would like to share how blockchain's smart contracts enable enterprise organizations to provide more value for its customers and stakeholders. Pem would also like to explore current smart contract application trends that major enterprises such as IBM are implementing for its products and services and use cases from enterprise segment across the energy, healthcare, financial and public sectors.
The Crypto community has run out of anarchists, libertarians and almost absorbed all the speculators it can handle, the next 100m users to join Crypto need a world class application to use. What will it be? Alex Mashinsky, a 7X founder & CEO of Celsius Network will discuss his view of the future of Crypto.
In a recent survey, Sumo Logic surveyed 1,500 customers who employ cloud services such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). According to the survey, a quarter of the respondents have already deployed Docker containers and nearly as many (23 percent) are employing the AWS Lambda serverless computing framework. It's clear: serverless is here to stay. The adoption does come with some needed changes, within both application development and operations. That means serverless is also changing the way we leverage public clouds. Truth-be-told, many enterprise IT shops were so happy to get out of the management of physical servers within a data center that many limitations of the existing public IaaS clouds were forgiven. However, now that we've lived a few years with public IaaS clouds, developers and CloudOps pros are giving a huge thumbs down to the constant monitoring of servers, provisioned or not, that's required to support the workloads.
Data center, on-premise, public-cloud, private-cloud, multi-cloud, hybrid-cloud, IoT, AI, edge, SaaS, PaaS... it's an availability, security, performance and integration nightmare even for the best of the best IT experts. Organizations realize the tremendous benefits of everything the digital transformation has to offer. Cloud adoption rates are increasing significantly, and IT budgets are morphing to follow suit. But distributing applications and infrastructure around increases risk, introduces complexity and challenges availability at every turn. To embrace DX and to come out on top, there are four underlying principles that should guide you. Understanding these four essentials along with their relevance and impact will elevate you to DX Hero status now. Jonathan will provide a high-level overview of these principles and how some of his organization's clients have embraced them with resounding success.
Enterprises are adopting Kubernetes to accelerate the development and the delivery of cloud-native applications. However, sharing a Kubernetes cluster between members of the same team can be challenging. And, sharing clusters across multiple teams is even harder. Kubernetes offers several constructs to help implement segmentation and isolation. However, these primitives can be complex to understand and apply. As a result, it’s becoming common for enterprises to end up with several clusters. This leads to a waste of cloud resources and increased operational overhead.
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science" is responsible for guiding the technology strategy within Hitachi Vantara for IoT and Analytics. Bill brings a balanced business-technology approach that focuses on business outcomes to drive data, analytics and technology decisions that underpin an organization's digital transformation strategy. Bill has a very impressive background which includes CTO at Dell EMC, Vice President of Advertiser Analytics at Yahoo! and Vice President of Analytic Applications at Business Objects.
Gartner projected that by the year 2022, smart contracts will be in use by more than 25% of global organizations despite speculative risks. Smart contracts allow blockchain applications to perform secure, immutable and valid transactions and contractual conditions without third parties. The EVP of SIGNiX, a PKI e-signature provider launching SmarTract (smart contracts to automate legal contracts and more), Pem Guerry would like to share how blockchain's smart contracts enable enterprise organizations to provide more value for its customers and stakeholders. Pem would also like to explore current smart contract application trends that major enterprises such as IBM are implementing for its products and services and use cases from enterprise segment across the energy, healthcare, financial and public sectors.
Take advantage of autoscaling, and high availability for Kubernetes with no worry about infrastructure. Be the Rockstar and avoid all the hurdles of deploying Kubernetes. So Why not take Heat and automate the setup of your Kubernetes cluster? Why not give project owners a Heat Stack to deploy Kubernetes whenever they want to? Hoping to share how anyone can use Heat to deploy Kubernetes on OpenStack and customize to their liking. This is a tried and true method that I've used on my OpenStack clusters and I will share the benefits, bumps along the way and the lessons learned.
The transition from closed networks to enterprise IT networks to the public Internet is accelerating at an alarming pace-and justly raising alarms about security. As we become increasingly reliant on intelligent, interconnected devices in every aspect of our lives, how do we protect potentially billions of them from intrusions and interference that could compromise personal privacy or threaten public safety? This discussion will highlight which means there are to protect IoT devices from unauthorized access, use, disclosure, disruption, modification, or even destruction. The base foundation for this kind of security is the CIA triad, composed of the following three pillars: confidentiality, integrity and availability. Confidentiality for preserving authorized restrictions on access and disclosure; integrity for guarding against improper information modification or destruction and ensuring information nonrepudiation and authenticity; and availability for ensuring timely and reliable access to the device and information.
In a recent survey, Sumo Logic surveyed 1,500 customers who employ cloud services such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). According to the survey, a quarter of the respondents have already deployed Docker containers and nearly as many (23 percent) are employing the AWS Lambda serverless computing framework. It's clear: serverless is here to stay. The adoption does come with some needed changes, within both application development and operations. That means serverless is also changing the way we leverage public clouds. Truth-be-told, many enterprise IT shops were so happy to get out of the management of physical servers within a data center that many limitations of the existing public IaaS clouds were forgiven. However, now that we've lived a few years with public IaaS clouds, developers and CloudOps pros are giving a huge thumbs down to the constant monitoring of servers, provisioned or not, that's required to support the workloads.
Concerns about security, downtime and latency, budgets, and general unfamiliarity with cloud technologies continue to create hesitation for many organizations that truly need to be developing a cloud strategy. Hybrid cloud solutions are helping to elevate those concerns by enabling the combination or orchestration of two or more platforms, including on-premise infrastructure, private clouds and/or third-party, public cloud services. This gives organizations more comfort to begin their digital transformation without a complete overhaul of their existing infrastructure - serving as a sort of "missing link" for transition to cloud utilization.