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 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.
Cloud resources, although available in abundance, are inherently volatile. For transactional computing, like ERP and most enterprise software, this is a challenge as transactional integrity and data fidelity is paramount – making it a challenge to create cloud native applications while relying on RDBMS. In his session at 21st Cloud Expo, Claus Jepsen, Chief Architect and Head of Innovation Labs at Unit4, will explore that in order to create distributed and scalable solutions ensuring high availability and fault tolerance using non-RDBMS in enterprise software, new technologies and architectural patterns need to be to in practice ensuring equal data fidelity and transactional integrity.
When you focus on a journey from up-close, you look at your own technical and cultural history and how you changed it for the benefit of the customer. This was our starting point: too many integration issues, 13 SWP days and very long cycles. It was evident that in this fast-paced industry we could no longer afford this reality. We needed something that would take us beyond reducing the development lifecycles, CI and Agile methodologies. We made a fundamental difference, even changed our culture.
IT organizations are moving to the cloud in hopes to approve efficiency, increase agility and save money. Migrating workloads might seem like a simple task, but what many businesses don’t realize is that application migration criteria differs across organizations, making it difficult for architects to arrive at an accurate TCO number. In his session at 21st Cloud Expo, Joe Kinsella, CTO of CloudHealth Technologies, will offer a systematic approach to understanding the TCO of a cloud application in order to ensure a successful migration. Additionally, he can detail CloudHealth’s experience partnering with AWS Migration and provide several proof points for the audience – helping to guide their migration planning process.
It’s hard to get into the world of the Internet of Things (IOT) without eventually talking about Digital Twins. I was first exposed to the concept of Digital Twins when working with GE. Great concept. But are Digital Twins only relevant to physical machines such as wind turbines, jet engines, and locomotives? What can we learn about the concept of digital twins that we can apply more broadly – to other physical entities (like contracts and agreements) and even humans?
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.
We have Continuous Integration and we have Continuous Deployment, but what’s continuous across all of what we do is people. Even when tasks are automated, someone wrote the automation. So, Jayne Groll evangelizes about Continuous Everyone. Jayne is the CEO of the DevOps Institute and the author of Agile Service Management Guide. She talked about Continuous Everyone at the 2016 All Day DevOps conference. She describes it as "about people, culture, and collaboration mapped into your value streams."
Deep learning has been very successful in social sciences and specially areas where there is a lot of data. Trading is another field that can be viewed as social science with a lot of data. With the advent of Deep Learning and Big Data technologies for efficient computation, we are finally able to use the same methods in investment management as we would in face recognition or in making chat-bots. In his session at 20th Cloud Expo, Gaurav Chakravorty, co-founder and Head of Strategy Development at qplum, discussed the transformational impact of Artificial Intelligence and Deep Learning in making trading a scientific process. This focus on learning a hierarchical set of concepts is truly making investing a scientific process, a utility.
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 the enterprise today, connected IoT devices are everywhere – both inside and outside corporate environments. The need to identify, manage, control and secure a quickly growing web of connections and outside devices is making the already challenging task of security even more important, and onerous. In his session at @ThingsExpo, Rich Boyer, CISO and Chief Architect for Security at NTT i3, discussed new ways of thinking and the approaches needed to address the emerging challenges of security in the enterprise. With a focus on the challenges and specific technical solutions possible using distributed trust, mutability, autonomy, and disposability, he showed how a single cohesive security management infrastructure can be created for the enterprise while still allowing the distributed value of IoT to exist anywhere.
“Why didn’t testing catch this” must become “How did this make it to testing?” Traditional quality teams are the crutch and excuse keeping organizations from making the necessary investment in people, process, and technology to accelerate test automation. Just like societies that did not build waterways because the labor to keep carrying the water was so cheap, we have created disincentives to automate. In her session at @DevOpsSummit at 20th Cloud Expo, Anne Hungate, President of Daring Systems, discussed how to break the cycle of manual testing as de-facto – empowering development and quality to lead with automation. Learn about the changes in reporting, behaviors, and communication necessary to make automation the first choice.
IT organizations are moving to the cloud in hopes to approve efficiency, increase agility and save money. Migrating workloads might seem like a simple task, but what many businesses don’t realize is that application migration criteria differs across organizations, making it difficult for architects to arrive at an accurate TCO number. In his session at 21st Cloud Expo, Joe Kinsella, CTO of CloudHealth Technologies, will offer a systematic approach to understanding the TCO of a cloud application in order to ensure a successful migration. Additionally, he can detail CloudHealth’s experience partnering with AWS Migration and provide several proof points for the audience – helping to guide their migration planning process.
Cloud resources, although available in abundance, are inherently volatile. For transactional computing, like ERP and most enterprise software, this is a challenge as transactional integrity and data fidelity is paramount – making it a challenge to create cloud native applications while relying on RDBMS. In his session at 21st Cloud Expo, Claus Jepsen, Chief Architect and Head of Innovation Labs at Unit4, will explore that in order to create distributed and scalable solutions ensuring high availability and fault tolerance using non-RDBMS in enterprise software, new technologies and architectural patterns need to be to in practice ensuring equal data fidelity and transactional integrity.
It’s hard to get into the world of the Internet of Things (IOT) without eventually talking about Digital Twins. I was first exposed to the concept of Digital Twins when working with GE. Great concept. But are Digital Twins only relevant to physical machines such as wind turbines, jet engines, and locomotives? What can we learn about the concept of digital twins that we can apply more broadly – to other physical entities (like contracts and agreements) and even humans?
Deep learning has been very successful in social sciences and specially areas where there is a lot of data. Trading is another field that can be viewed as social science with a lot of data. With the advent of Deep Learning and Big Data technologies for efficient computation, we are finally able to use the same methods in investment management as we would in face recognition or in making chat-bots. In his session at 20th Cloud Expo, Gaurav Chakravorty, co-founder and Head of Strategy Development at qplum, discussed the transformational impact of Artificial Intelligence and Deep Learning in making trading a scientific process. This focus on learning a hierarchical set of concepts is truly making investing a scientific process, a utility.
IoT is at the core or many Digital Transformation initiatives with the goal of re-inventing a company's business model. We all agree that collecting relevant IoT data will result in massive amounts of data needing to be stored. However, with the rapid development of IoT devices and ongoing business model transformation, we are not able to predict the volume and growth of IoT data. And with the lack of IoT history, traditional methods of IT and infrastructure planning based on the past do not apply either.
Cloud computing and services platform company ServiceNow took part in the second annual San Francisco located Cloud Field Day #2 event this July 2017. Designed to be an open discussion forum for speakers and audience members to deconstruct and demystify the core mechanics of cloud, ServiceNow speakers were open and frank about the opportunities and challenges facing businesses who want to harness the power of cloud platform technologies in the context of new connected business models.
The renowned military strategist John Boyd taught that people and institutions collect favorite philosophies, strategies, theories and ideologies over a period of time, and then try to align the future to fit them. The problem with this is the future is rarely like the past, and trying to fit new data into old paradigms often forces us to perform irrational mental gymnastics, which leaves us farther from the truth.
From manual human effort the world is slowly paving its way to a new space where most process are getting replaced with tools and systems to improve efficiency and bring down operational costs. Automation is the next big thing and low code platforms are fueling it in a significant way. The Automation era is here. We are in the fast pace of replacing manual human efforts with machines and processes. In the world of Information Technology too, we are linking disparate systems, softwares and tools to make things self sustaining. This is called Automation.It has been helping companies overcome the hurdles of traditional methodologies and optimize operations. It has helped many enterprises achieve greater levels of efficiency and quality. Intelligent automation systems can sense and process loads of information and can automate entire processes.. Applications range from the routine to the more complex ones collecting, analyzing, and making decisions . help companies think beyond conventional methods to achieve unprecedented levels of efficiency and quality.
While some vendors scramble to create and sell you a fancy solution for monitoring your spanking new Amazon Lambdas, hear how you can do it on the cheap using just built-in Java APIs yourself. By exploiting a little-known fact that Lambdas aren’t exactly single-threaded, you can effectively identify hot spots in your serverless code. In his session at @DevOpsSummit at 21st Cloud Expo, Dave Martin, Product owner at CA Technologies, will give a live demonstration and code walkthrough, showing how to overcome the challenges of monitoring S3 and RDS. This presentation will provide an overview of necessary Amazon Lambda concepts and discus how to integrate the monitoring data with other tools.
SYS-CON Events announced today that Datera will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Datera offers a radically new approach to data management, where innovative software makes data infrastructure invisible, elastic and able to perform at the highest level. It eliminates hardware lock-in and gives IT organizations the choice to source x86 server nodes, with business model options that best align to their goals.
With 10 simultaneous tracks, keynotes, general sessions and targeted breakout classes, Cloud Expo and @ThingsExpo are two of the most important technology events of the year. Since its launch over eight years ago, Cloud Expo and @ThingsExpo have presented a rock star faculty as well as showcased hundreds of sponsors and exhibitors! In this blog post, I provide 7 tips on how, as part of our world-class faculty, you can deliver one of the most popular sessions at our events. But before reading these essential tips, please take a moment and watch this brief video from Sandy Carter.