A pre-built data processing and analysis stack of exceptional tools, Bardess accelerators, preloaded with relevant industry data, designed to solve modern scale problems and deliver rapid value. Read on to learn more about this solution.
The Zero2Hero™ (z2H™) stack solution is aptly named for its ability to be set up in a matter of hours, and helps our clients go from zero, to analytics heroes incredibly quickly. Zero2Hero™ aggregates the data to ensure key data is prioritized. This provides your customer with a unique customer experience based on their preferences and behaviors. Watch the video to learn more.
As the on-demand economy continues to boom, user expectations continue to grow. We don’t just want the service or product as quickly as possible: we want all the updates, alerts, notifications, and communication in-between, from start to finish. It’s a stream of constant updates and conversation, and the expectation (or, really, the requirement) is that everything happens in realtime.
Ensuring performance and security is easy in the lab, but not in the wild. Reliability is your mobile app or product working as intended, no matter the network environment, device, operating system, or load of concurrent users. It’s providing a persistent, high-speed and predictable experience for your end users. And it’s protecting the valuable and sensitive data your app and users are streaming.
In this guide, you’ll hear from Product Managers across a variety of industries on what they see as most important for ensuring mobile reliability; and gain a better understanding of what it takes to build scalable and secure mobile apps.
As a .NET developer, you're constantly asked to build relevant and resilient software that can run anywhere. That alone is a tall order. But you're also asked to upgrade existing .NET software to unlock new value.
This practical ebook shows .NET developers and architects how to improve the most impactful parts of your existing codebase and build a sustainable process for refining your entire .NET app portfolio.
Many companies want to become a cloud-native enterprise. Pivotal Cloud Foundry (PCF) is the most popular tool to help make this happen. Pivotal’s engineers and architects have worked with hundreds of the largest companies in recent years. Our team has refined “best practices” for how to best deploy PCF, and how to best develop modern apps. This insight helps customers reduce risk, and deliver high-quality software faster.
Many of these enterprises wish to run Pivotal Cloud Foundry on Microsoft® Azure™. Azure is a popular choice for several reasons. Read more to find out.
Enterprise developers face many choices when writing software. What’s the right architecture for the long run? What are the technologies I should bet on?
One of the more challenging decisions: how to balance the flexibility to deploy their software on any public cloud with the benefits of using differentiating cloud services. You may gain significant functional benefits from such a service, but this may make moving from one cloud provider to another more difficult, limiting flexibility.
In this paper, we’ll discuss pragmatic strategies you can take to achieve something approximating the ideal of service liquidity. Pivotal and Microsoft have worked with several enterprises and partners to provide an evaluation and implementation framework. The end result? Developers can utilize the power of a given cloud platform, while ensuring cloud flexibility for their application modernization projects. Read on to learn more about this framework.
From incident response managers to network analysts, many cyber professionals are turning to active, hands-on exercises to improve their abilities. But why is gamification such a powerful new learning approach? Let’s find out!
An application or service that you develop once to run in multiple clouds has a clear advantage over one that is bound to a single OS or runtime environment. Container technology makes it possible, but container security vulnerabilities are beginning to surface. We describe 6 steps you can take to ensure that container security doesn’t become a DevOps roadblock.
Highly decentralized computing is the new normal for most organizations, and digital transformation (DX) initiatives are changing application architectures to event driven to support real-time and near-real-time response cycles. In this environment, enterprises are increasingly turning to messaging middleware to meet the combined requirements of complexity, speed, reliability, and security to connect the digital world of applications and data.
Lyft’s consumer mobile app has realtime transactions totaling more than one million rides per day, so performance is critically important. The smallest lapses – even a few milliseconds – contribute to negative customer experiences and lost revenue. As Lyft’s Vice President of Engineering, Pete Morelli, explained, “The bigger you get, the better you have to be. Half an hour of downtime may have cost you five rides early on, now it costs millions of dollars in rides. The level of reliability expected of Lyft is not trivial. People are riding to work or to doctors’ appointments.
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InVision is the leading product design collaboration platform that powers the world’s best user experiences. With intuitive tools for ideation, design, prototyping, and design management, the InVision platform gives users everything they need for digital product design, all in one place. More than 4 million people – at tens of thousands of companies, including eighty percent of the Fortune 100, and brands like Airbnb, Amazon, HBO, Netflix, Slack, Starbucks, and Uber rely on the InVision platform to make products users love.
The old elements of logging, metrics, and tracing are insufficient for today’s complex software systems. If you’re adopting microservices, you know that faster root cause analysis and the ability to confidently measure and explain performance is key to improve efficiency and save developer time.
Read this report to understand:
Report Describes How to Confidently Measure and Explain Performance
The old elements of logging, metrics, and tracing are insufficient for today’s complex software systems.
If you’re considering or in the midst of adopting microservices, you know that faster root cause analysis and the ability to confidently measure and explain performance is key to improve efficiency and save developer time. Read this report to understand why:
Lyft’s consumer mobile app has realtime transactions totaling more than one million rides per day, so performance is critically important. The smallest lapses – even a few milliseconds – contribute to negative customer experiences and lost revenue. As Lyft’s Vice President of Engineering, Pete Morelli, explained, “The bigger you get, the better you have to be. Half an hour of downtime may have cost you five rides early on, now it costs millions of dollars in rides. The level of reliability expected of Lyft is not trivial. People are riding to work or to doctors’ appointments.
Learn More