Today’s web, mobile, and IoT applications need to operate at increasingly demanding scale and performance levels to handle thousands to millions of users. Terabytes or petabytes of data. Submillisecond response times. Multiple device types. Global reach. Caching frequently used data in memory can dramatically improve application response times, typically by orders of magnitude. Get your “High Performance Distributed Caching” guide to learn:
Download your guide now and learn how you can scale with Couchbase to improve application performance and cut costs.
Today’s consumers rely on their mobile apps no matter where they are. If your apps are sluggish and slow or don’t work at all when there’s no internet connection, your customers will start looking for other apps that work all the time. To help you provide the always-on experience customers demand, database solutions like Couchbase Mobile have added synchronization and offline capabilities to their mobile database offerings.
This white paper helps you choose the best mobile database for your needs based on 6 key evaluation questions:
We also help you answer one last critical question: Should you build or should you buy? Download the white paper now.
Many organizations start an analytics project with a clear understanding of its objectives, only to drift from the core goals and deliverables during the evaluation process. The result is lost time or a deployed solution that fails to deliver against key goals. Izenda’s Embedded BI & Analytics Buyer’s Guide is designed to help software companies define their core needs and effectively evaluate their options for delivering BI and analytics to their customers.
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Performance anomalies hurt application consistency. Today’s anomaly detection methods, though, add complexity and delay to the website load testing process.
HPE StormRunner Load implements “hierarchical” website load testing in a two-step approach.
Find out how HPE’s load-testing tool uses powerful analytics to visualize and spot anomalies and performance problems and find root causes using real-time metrics.
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Continuous testing helps bridge the gap between developing quickly and maintaining high quality products. But to implement continuous testing, CTOs must take a strategic approach to building a testing infrastructure and toolset that empowers their team to move fast.
Download our guide to laying the groundwork for a scalable continuous testing strategy.
Malicious assaults and denial-of-service attacks are increasingly targeting enterprise applications as back-end systems become more accessible and usable through cloud, mobile and in on-premise environments. The API is a major point of vulnerability, given its ability to offer programmatic access to external parties with few organically available controls. Security, therefore, is an essential element of any organization’s API strategy. While API security shares a lot of aspects that are common to both web site security and network security, it is also fundamentally different both in terms of usage patterns as well as the unique areas of additional risks that APIs are susceptible to. For instance APIs move the boundary of interaction from the web tier to the backend applications and data sources directly.
The purpose of this paper is to help you understand the necessary components of a well-constructed API security strategy. First it takes you through API risk assessment discussing the various attack vectors that could potentially make your API vulnerable. Then the paper talks about risk mitigation strategies that API providers can put in place to prevent API hacks.
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APIs, by virtue of their openness and utility, tend to touch many areas of an IT organization. As a result, API success usually means devising an API strategy that will serve the diverse needs of people in various roles who rely on them. The right tooling for API design and management are essential to ensure that all roles feel served by the API strategy. This can be as much an organizational issue as a technical one.
This paper reviews some of the key players who have a stake in API strategy, including API designers, integration developers, API product managers, operations leads, security architects, and enterprise architects. It looks at how an API platform (or platforms) can address the distinctive needs of each role as they come to devise and implement an API strategy.
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Moments of technology-driven inflection in business are often hard to spot because they occur more slowly than the hype cycle might hope. This is the case with enterprise adoption of APIs. It has been tricky to identify enterprise API adoption patterns because API use is often at multiple levels of maturity within the same organization. The use cases are not always as simple as are found with consumer APIs such as those from Facebook, Google or Twitter. Yet, the transition is clearly happening and ushering digital transformation with enterprises.
Businesses seeking to leverage the latest forms of mobile and digital channels are utilizing RESTful APIs to deliver engaging experiences to their customers and partners, wherever they are. Enterprises are investing in APIs in order to forge ahead with digital transformation initiatives, in order to increase revenue, and improve productivity. APIs have become the technology of choice for enterprises that want to make their data and content more readily available for consumption, whether it be externally or internally. As we see more corporations tackle the pragmatic challenges of adopting APIs, distinct patterns are beginning to appear.
This paper looks at four APIs usage models that are emerging as businesses revise their internal enterprise architectures so that they can address business needs with agility and efficiency.
When something goes wrong in your software, you fix it. When something is wrong in an OSS package you’re beholden to community fixes and web search – neither cares about your needs or your timeline.
In this webinar, our director of product management and OSS expert, Richard Sherrard, examines:
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Project management is critical to quality software delivery, so it stands to reason that your PMO must be best-equipped to support all project managers with visibility across the software lifecycle. This guide helps you do just that by:
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Your software development and delivery teams work in their best of breed tools to optimize their job – yet the benefits are not felt across the whole software lifecycle. Important data is siloed, and the quality and speed of software delivery is suffering as result, undermining an organization’s ability to effectively scale Agile and DevOps transformations. This is because integrating these tools is actually very, very hard.
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If you have ever wondered how “deep linking” came to be both a buzzword and an industry dirty word at the same time, here is the answer. Learn about the players, the technology, and the solution to the impending crisis of content discovery on the internet, because it is clear today that deep linking is not enough.
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