Continuous Delivery is Reshaping the Future of ALM

Continuous delivery equals competitive advantage releasing software many times a day may sound like science fiction, but it’s reality for a growing number of firms. Continuous delivery is a shift to assembly of components and services, and a new DevOps compact provide the means to pivot away from the frustrations of the past to become the enabler of new, exciting digital customer experiences.
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Continuous Delivery: Five Habits of Highly Successful Practitioners

Continuous Delivery is a development discipline in which software can be released to production at any time. It’s about building a development and release pipeline where early feedback, automated build and test, and incremental deployments into production can dramatically speed up release cycles. Indeed, you accelerate your time to market -- providing a continuous flow of “release candidates” for business acceptance -- without sacrificing quality.
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Continuous Delivery in Practice

Continuous Delivery allows you to get new features and capabilities to market quickly and reliably— both highly desirable outcomes. But to achieve these outcomes, you need processes and controls that make sure your continuous delivery reaches its full potential.
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Continuous Delivery: The New Normal

Continuous Delivery is an emerging software development methodology that automates and improves software delivery. By building the capability to rapidly, reliably, and repeatedly push out enhancements and bug fixes to customers at low risk and with minimal manual overhead, software development organizations can respond to business needs faster and improve satisfaction for business stakeholders and end users alike.
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eBook: Security For a Faster World

Cybercrime is becoming increasingly sophisticated, and it often surpasses the security capabilities of even large corporations. This eBook presents a maturity model that will help you determine how secure you really are, explores five questions every CIO should be able to answer, and outlines a new approach based on intelligence gathering and research that can keep you ahead of the cybercriminals.
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Big Security for Big Data

In order to meet current security problems, a new paradigm shift needs to occur. Businesses need the ability to secure data, collect it, and aggregate into an intelligent format, so that real-time alerting and reporting can take place. The first step is to establish complete visibility so that you can monitor your data and those who access it. Next, you need to understand the context, so that you can focus on assets that are critical to your business. Finally, you need to utilize the intelligence gathered so that you can harden your attack surface and stop attacks before data is exfiltrated. This white paper will give you the information you need to get started.
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Top 10 Endpoint Backup Mistakes

Backing up and protecting sensitive corporate data has become more challenging because of several trends: exponential data growth, the rise in endpoints, BYOD, and SaaS applications. Avoid the following ten endpoint backup mistakes to ensure that your critical corporate data is protected and end user productivity is improved.
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Survival Guide for Data in the Wild

It’s a wild world outside the corporate firewall. Protecting data for your entire company is a heavy responsibility. There’s the employee who leaves his laptop in the airport. And the former employee who still has access to corporate data from her personal device. Or the ever-present danger of litigation. You’re accountable for a wide range of scenarios that put your corporate data at risk.

Fortunately, you don’t have to go it alone. Learn from the experience of others to ensure that you’re prepared for every threat to your corporate data in the wild. With step-by-step instructions, this Survival Guide is your most valuable tool for keeping corporate assets out of harm’s way.

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Recommendations for Simplifying OS Migration

OS migration is typically time-consuming and expensive. The average enterprise migration project takes 18-32 months from conception to completion and involves significant IT time and end-user downtime. An endpoint backup solution can simplify OS migration by giving IT the ability to migrate data, as well as system and application settings, effectively and seamlessly. To make your next migration easy, follow these six recommendations when planning your project.
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7 Elements Radically Simple OS Migration

OS migration is typically time-consuming and expensive. The average enterprise migration project takes 18-32 months from conception to completion and involves significant IT time and end-user downtime.1 An endpoint backup solution can drastically simplify the process by enabling IT to migrate data and personal settings effectively and seamlessly.
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5 Things You Didn’t Know About Cloud Backup

Only customers have access to the key and, subsequently, their data, once authenticated. To perform enterprise restores quickly, a backup solution must also use multi-threaded restores in order to allow parallel transfers of multiple files. Using multi-threaded restoration significantly accelerates the time it takes to restore data to a user’s computer.

This Whitepaper provides real-time visibility, enabling organizations to support their governance and compliance needs.

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Information Governance Best Practice: Adopt a Use Case Approach

When should you implement integration governance? According to this Gartner research note, you should start now if you are an IT professional considering an initiative like MDM, e-discovery, information archiving or cloud migration. The need for governance is prompted by a combination of massive data growth, litigation, new data types, scrutiny from a regulatory perspective and new information privacy risks.
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Improve the Confidence in Your Big Data with IBM InfoSphere

This white paper discusses how IBM InfoSphere can improve the confidence in Big Data across nine common use cases including Single Customer View, Application Development, Application Efficiency, Security & Compliance, Application Consolidation & Retirement, Data Warehouse Augmentation, Operations Analysis, Security/Intelligence Extension and Big Data Exploration.
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Big Data Needs Agile Information And Integration Governance: Forrester Consulting Report

Organizations are no longer asking what big data is, they are looking at what big data can do. Information and integration governance (IIG) is playing a significant role to move big data from the realm of possibility to the reality of business outcomes. Rather than bypassing IIG with the goal of agility and fast results, organizations are embracing it and recognizing that IIG is a critical factor in the success of big data initiatives.
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