Intelligent Automation is now one of the key business imperatives for CIOs and CISOs impacting all areas of business today. In his session at 21st Cloud Expo, Brian Boeggeman, VP Alliances & Partnerships at Ayehu, will talk about how business value is created and delivered through intelligent automation to today’s enterprises. The open ecosystem platform approach toward Intelligent Automation that Ayehu delivers to the market is core to enabling the creation of the self-driving enterprise.
In IT, we sometimes coin terms for things before we know exactly what they are and how they’ll be used. The resulting terms may capture a common set of aspirations and goals – as “cloud” did broadly for on-demand, self-service, and flexible computing. But such a term can also lump together diverse and even competing practices, technologies, and priorities to the point where important distinctions are glossed over and lost.
Everything run by electricity will eventually be connected to the Internet. Get ahead of the Internet of Things revolution and join Akvelon expert and IoT industry leader, Sergey Grebnov, in his session at @ThingsExpo, for an educational dive into the world of managing your home, workplace and all the devices they contain with the power of machine-based AI and intelligent Bot services for a completely streamlined experience.
We define Hybrid IT as a management approach in which organizations create a workload-centric and value-driven integrated technology stack that may include legacy infrastructure, web-scale architectures, private cloud implementations along with public cloud platforms ranging from Infrastructure-as-a-Service to Software-as-a-Service.
We get it. If your company isn’t up on blockchain, your future is doomed. At least, that’s the general vibe industry leaders are putting out – scrambling to understand and utilize a framework that is more frequently associated with cryptocurrencies like bitcoin. In other words, block chain is, generally, poorly understood. So, should your company stand back and let it mature, or wade into the fray and hope for the best?
One of the core benefits of Java is the JVM, which is an out-of-the-box memory management. Essentially, we can create objects and the Java Garbage Collector will take care of allocating and freeing up memory for us. Nevertheless, memory leaks can still occur in Java applications. In this article, we're going to describe the most common memory leaks, understand their causes, and look at a few techniques to detect/avoid them. We're also going to use the Java YourKit profiler throughout the article, to analyze the state of our memory at runtime.
For financial firms, the cloud is going to increasingly become a crucial part of dealing with customers over the next five years and beyond, particularly with the growing use and acceptance of virtual currencies. There are new data storage paradigms on the horizon that will deliver secure solutions for storing and moving sensitive financial data around the world without touching terrestrial networks. In his session at 20th Cloud Expo, Cliff Beek, President of Cloud Constellation Corporation, discussed new best practices to bypass the internet and the many applications for this technology, including the financial sector, which is notoriously vulnerable to attack.
With Cloud Foundry you can easily deploy and use apps utilizing websocket technology, but not everybody realizes that scaling them out is not that trivial. In his session at 21st Cloud Expo, Roman Swoszowski, CTO and VP, Cloud Foundry Services, at Grape Up, will show you an example of how to deal with this issue. He will demonstrate a cloud-native Spring Boot app running in Cloud Foundry and communicating with clients over websocket protocol that can be easily scaled horizontally and coordinate communication between multiple instances by using an additional message broker.
Your homes and cars can be automated and self-serviced. Why can't your storage? From simply asking questions to analyze and troubleshoot your infrastructure, to provisioning storage with snapshots, recovery and replication, your wildest sci-fi dream has come true. In his session at @DevOpsSummit at 20th Cloud Expo, Dan Florea, Director of Product Management at Tintri, provided a ChatOps demo where you can talk to your storage and manage it from anywhere, through Slack and similar services with Tintri's web services architecture and APIs. Impress your DevOps team with smart and autonomous infrastructure.
In preparation for General Data Protection Regulation (GDPR) compliance, a global 100 financial services organization embarked on a journey to assess its core information processing environments with the objective of identifying opportunities to strengthen its data privacy protection programs. This article focuses on the technology challenges, approach, and lessons learned for the centralized testing environment.
Existing Big Data solutions are mainly focused on the discovery and analysis of data. The solutions are scalable and highly available but tedious when swapping in and swapping out occurs in disarray and thrashing takes place. The resolution for thrashing through machine learning algorithms and support nomenclature is through simple techniques. Organizations that have been collecting large customer data are increasingly seeing the need to use the data for swapping in and out and thrashing occurs in both transaction processing and online analytical processing. Therefore, there is a growing need for support on thrashing using machine learning algorithms and solutions for use in "Big Data."
As DevOps methodologies expand their reach across the enterprise, organizations face the daunting challenge of adapting related cloud strategies to ensure optimal alignment, from managing complexity to ensuring proper governance. How can culture, automation, legacy apps and even budget be reexamined to enable this ongoing shift within the modern software factory?
There is only one world-class Cloud event on earth, and that is Cloud Expo – which returns to Silicon Valley for the 21st Cloud Expo at the Santa Clara Convention Center, October 31 - November 2, 2017. Every Global 2000 enterprise in the world is now integrating cloud computing in some form into its IT development and operations. Midsize and small businesses are also migrating to the cloud in increasing numbers. Companies are each developing their unique mix of cloud technologies and services, forming multi-cloud and hybrid cloud architectures and deployments across all major industries. Cloud-driven thinking has become the norm in financial services, manufacturing, telco, healthcare, transportation, energy, media, entertainment, retail and other consumer industries, and the public sector.
Docker is sweeping across startups and enterprises alike, changing the way we build and ship applications. It's the most prominent and widely known software container platform, and it's particularly useful for eliminating common challenges when collaborating on code (like the "it works on my machine" phenomenon that most devs know all too well). With Docker, you can run and manage apps side-by-side - in isolated containers - resulting in better compute density. It's something that many developers don't think about, but you can even use Docker with ASP.NET.
These days, change is the only constant. In order to adapt and thrive in an ever-advancing and sometimes chaotic workforce, companies must leverage intelligent tools to streamline operations. While we're only at the dawn of machine intelligence, using a workflow manager will benefit your company in both the short and long term. Think: reduced errors, improved efficiency and more empowered employees-and that's just the start. Here are five other reasons workflow automation is leading a revolution in the 9-5 world.
As organizations abandon the waterfall method of software development for Agile, many are stuck in what Hasan Yasar terms Water-Scrum-Fall. That is, the organization has not effectively embraced Agile and DevOps principles and remains in silos with no links to business goals. Enter DevOps, an extension of Agile thinking. While Agile embraces constant change and embeds the customer into the process, DevOps embraces constant testing and delivery and embeds operations into the team to internalize expertise on deployment and maintenance.
Digital technology innovations and advancements, and our adoption of them, have changed us. We are different consumers, employers and employees. Our expectations have increased. We have become mobile, impatient and demanding. We are global. We demand immediate, accurate and real-time responses. We use our technology not just for reading historic events and news, but also for predicting our future turn while navigating at 60 MPH.
Any startup has to have a clear go –to-market strategy from the beginning. Similarly, any data science project has to have a go to production strategy from its first days, so it could go beyond proof-of-concept. Machine learning and artificial intelligence in production would result in hundreds of training pipelines and machine learning models that are continuously revised by teams of data scientists and seamlessly connected with web applications for tenants and users.
Recently, IoT seems emerging as a solution vehicle for data analytics on real-world scenarios from setting a room temperature setting to predicting a component failure of an aircraft. Compared with developing an application or deploying a cloud service, is an IoT solution unique? If so, how? How does a typical IoT solution architecture consist? And what are the essential components and how are they relevant to each other? How does the security play out? What are the best practices in formulating an IoT solution? These are all the topics which this presentation will cover.
I have had the opportunity to work for and around a good many start-ups during the course of my career. Often the start-up founders would simply define a problem, develop a solution and launch a company. The marketing department would then do their very best to identify the individuals in each target company that experienced the problem and had a budget to fix it. This was always a challenging task, that has become even harder today.
In his session at @DevOpsSummit at 20th Cloud Expo, Kelly Looney, director of DevOps consulting for Skytap, showed how an incremental approach to introducing containers into complex, distributed applications results in modernization with less risk and more reward. He also shared the story of how Skytap used Docker to get out of the business of managing infrastructure, and into the business of delivering innovation and business value. Attendees learned how up-front planning allows for a clean separation between infrastructure, platform, and service concerns.
We have already established the importance of APIs in today’s digital world (read about it here). With APIs playing such an important role in keeping us connected, it’s necessary to maintain the API’s performance as well as availability. There are multiple aspects to consider when monitoring APIs, from integration to performance issues, therefore a general monitoring strategy that only accounts for up-time is not ideal.
In our first installment of this blog series, we went over the different types of applications migrated to the cloud and the benefits IT organizations hope to achieve by moving applications to the cloud. Unfortunately, IT can’t just press a button or even whip up a few lines of code to move applications to the cloud. Like any strategic move by IT, a cloud migration requires advanced planning.
Knowledge that doesn’t serve is knowledge wasted. And for knowledge gained from experience and research to be useful, IT enterprises need to organize, manage and offer it in the best way possible. Fortunately, the best way isn’t a Herculean task when you employ simple tricks to build a profound knowledge base (KB). A sound knowledge base eliminates the need to rediscover or reformulate knowledge and improves the support process. With that in mind, consider these best practices to help build a successful knowledge base.
Imagine a world where your Continuous Integration / Continuous Deployment environment is 100% automated, including the passing of credentials. Andrey started by stating what we all know - security needs to be at the forefront. Additionally, a message we heard over and over at the All Day DevOps conference is to automate where you can automate. That combination can be daunting and seemingly impossible. How can we automate security when someone needs to enter credentials and we can't store credentials where everyone can get to them? After all, credentials give you access to databases that often contain personally identifiable information and other protected information. A breach could devastate companies and people, whether intentional or accidental.