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.Oct. 4, 2018 01:00 AM EDT
Keeping an application running at scale can be a daunting task. When do you need to add more capacity? Larger databases? Additional servers? These questions get harder as the complexity of your application grows. Microservice based architectures and cloud-based dynamic infrastructures are technologies that help you keep your application running with high availability, even during times of extreme scaling.
But real cloud success, at scale, requires much more than a basic lift-and-shift migration. It requires successfully navigating the world of the dynamic cloud. The dynamic cloud doesn't just let you scale your applications, but it makes the process much faster and easier. It also allows your development teams to respond to changes faster, and implement these changes faster. Not everyone is ready for moving their applications to a fully dynamic cloud-based environment, but success in ...
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addresses many of the challenges faced by developers and operators as monolithic applications transition towards a distributed microservice architecture. A tracing tool like Jaeger analyzes what's happening as a transaction moves through a distributed system. Monitoring software like Prometheus captures time-series events for real-time alerting and other uses. Grafeas and Kritis provide security polic...
Cloud adoption is a core component of digital transformation. Scaling the IT environment, making it resilient, and reducing costs are what organizations want. Hear from the author of the best selling Packtbook "Architecting Cloud Computing Solutions" as he presents and explains critical Cloud solution design considerations and technology decisions required to choose and deploy the right Cloud service and deployment models, that are aligned to your business and technology service requirements. This session will help you master the design considerations and operational trades required to adopt Cloud services, no matter which Cloud service provider you choose.
When applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. Learn the steps so your team's apps not only function but also can be monitored and understood from their machine data when running in production.
"Calligo is a cloud service provider with data privacy at the heart of what we do. We are a typical Infrastructure as a Service cloud provider but it's been des...
Discussions of cloud computing have evolved in recent years from a focus on specific types of cloud, to a world of hybrid cloud, and to a world dominated by the...
The current environment of Continuous Disruption requires companies to transform how they work and how they engineer their products. Transformations are notoriously hard to execute, yet many companies have succeeded. What can we learn from them? Can we produce a blueprint for a transformation? This presentation will cover several distinct approaches that companies take to achieve transformation. E...
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the...
Industry after industry is under siege as companies embrace digital transformation (DX) to disrupt existing business models and disintermediate their competitor’s customer relationships. But what do we mean by “Digital Transformation”? The coupling of granular, real-time data (e.g., smartphones, connected devices, smart appliances, wearables, mobile commerce, video surveillance) with modern techno...
Evan Kirstel is an internationally recognized thought leader and social media influencer in IoT (#1 in 2017), Cloud, Data Security (2016), Health Tech (#9 in 2017), Digital Health (#6 in 2016), B2B Marketing (#5 in 2015), AI, Smart Home, Digital (2017), IIoT (#1 in 2017) and Telecom/Wireless/5G. His connections are a "Who's Who" in these technologies, He is in the top 10 most mentioned/re-tweeted ...
With the mainstreaming of IoT, connected devices, and sensors, data is being generated at a phenomenal rate, particularly at the edge of the network. IDC's FutureScape for IoT report found that by 2019, 40% of IoT data will be stored, processed, analyzed and acted upon at the edge of the network where it is created. Why at the edge? Turns out that sensor data, in most cases, is perishable. Its va...
Most modern computer languages embed a lot of metadata in their application. We show how this goldmine of data from a runtime environment like production or staging can be used to increase profits. Adi conceptualized the Crosscode platform after spending over 25 years working for large enterprise companies like HP, Cisco, IBM, UHG and personally experiencing the challenges that prevent companies f...
Cloud Storage 2.0 has brought many innovations, including the availability of cloud storage services that are less expensive and much faster than previous generations of cloud storage. Cloud Storage 2.0 has also delivered new and faster methods for migrating your premises storage environment to the cloud and the concept of multi-cloud. This session will provide technical details on Cloud Storage 2...
According to Forrester Research, every business will become either a digital predator or digital prey by 2020. To avoid demise, organization...
Modern software design has fundamentally changed how we manage applications, causing many to turn to containers as the new virtual machine f...
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