At Juniper, we believe in building coherent networks to help simplify both the physical topology as well as the operations of the network itself. Once having done that, we can then secure it. And, by moving to micro parameters, we can do a much better job of protecting the applications. Then finally, automation, particularly as we get into micro parameters, micro segments and the need for agility, is where SDN really pays off.
The role of IT is changing from a traditional focus on cost-efficient enablement to a more strategic contribution. Total Cost of Ownership (TCO), while important, is being surpassed by a growing focus on automation and orchestration that is needed to fulfill enterprise demands for security, agility, and innovation. The cloud-grade enterprise network – spanning the campus, data center, and branch – must be able to respond to rapid changes in business, growing reliance on hybrid cloud architectures, and the needs of users and customers. This IP Networking Comparison Guide examines the four key areas driving enterprise network priorities and looks at key factors within each. This document will give you a clear perspective on how the various options stack up on the most important features and capabilities necessary to meet your transformation needs.
Published By: Tenable
Published Date: Feb 05, 2018
12 Steps for Addressing Container Security
Containers are an integral tool for most DevOps. While containers themselves do not have inherent security issues, they are often deployed unsecurely, causing security issues around vulnerabilities, visibility, compromise and compliance. How can the DevOps team looking for increased agility work with more closely with the security team looking for reduced risk?
Download this Gartner report to:
- Understand the unique security challenges posed by containers
- Learn how security and risk management leaders concerned with cloud and emerging technologies can engage with and enable secure DevOps
- Take 12 steps that will help you adopt containers with a level of acceptable, manageable risk that approaches the use of virtual or physical machines
All companies, small and large, grapple with infrastructure growth and IT modernization. For many companies, datacenter infrastructure has become an essential part of a hybrid cloud environment that allows users to consume internal and external resources seamlessly. This, in turn, is helping modernize today's datacenters and drive new levels of agility, productivity, and scale.
A common attribute of modern datacenter infrastructure is solutions that provide all compute and data services as a single system that can be managed holistically at a rack scale. IDC refers to such solutions as converged infrastructure.
MongoDB is an open-source, document database designed with both scalability and developer agility in mind. MongoDB bridges the gap between key-value stores, which are fast and scalable, and relational databases, which have rich functionality. Instead of storing data in rows and columns as one would with a relational database, MongoDB stores JSON documents with dynamic schemas.
Customers should consider three primary factors when evaluating databases: technological fit, cost, and topline implications. MongoDB's flexible and scalable data model, robust feature set, and high-performance, high-availability architecture make it suitable for a wide range of database use cases. Given that in many cases relational databases may also be a technological fit, it is helpful to consider the relative costs of each solution when evaluating which database to adopt.
The relational database has been the foundation of enterprise data management for over thirty years.
But the way we build and run applications today, coupled with unrelenting growth in new data sources and growing user loads are pushing relational databases beyond their limits. This can inhibit business agility, limit scalability and strain budgets, compelling more and more organizations to migrate to alternatives like MongoDB or NoSQL databases.
With digital transformation reshaping the modern enterprise, applications represent a new class of assets and an important source of differentiation. The ever-more-competitive digital economy requires that your applications be delivered with unprecedented speed, scale, and agility, which is why more and more organizations are turning to the cloud.
This explosive growth of apps hosted in the cloud creates a world of opportunities—and a whole new set of challenges for organizations that must now deploy and manage a vast portfolio of applications in multi-cloud environments. Automation and orchestration systems can help streamline and standardize IT processes across traditional data centers, private clouds, and public clouds. But with rapid innovation come concerns about security and delivering a consistent experience across environments.
Published By: Riverbed
Published Date: Jan 25, 2018
Applications underpin today’s cloud and digital transformation initiatives. As a result, it’s imperative for modern IT organizations to implement a holistic, expert approach to managing applications for maximum performance and optimal business execution. Read this insights paper from ESG and Riverbed to discover: How performance management expertise drives critical business outcomes. Why mature organizations are better equipped to embrace DevOps and other modern IT practices. What tools, factors, and behaviors correlate to expert performance management practices.
The notion of digitizing your business has become a matter of “when,” rather than “if.” For many, migrating critical workloads to the cloud is a key part of this transformation. When deciding on a cloud provider, however, IT executives are under pressure to find a solution that enables reduced costs, greater agility, and above all, the ability to innovate core business processes.
At the heart of many businesses embarking on this journey is their SAP environment. But since SAP workloads represent some of the most critical and deeply integrated business applications, IT executives are required to look for ways to execute this migration in the most timely and reliable manner. Organizations migrating to the cloud cannot risk application downtime or productivity loss.
Provided by: AWS & Intel
Published By: MuleSoft
Published Date: Jan 16, 2018
Everywhere you turn there’s another thought leader or business strategist talking about the importance of digital transformation. In an IT survey conducted by MuleSoft, more than two-thirds of IT decision makers (ITDMs) said they were undertaking digital transformation initiatives.
One of the key factors to achieving digital transformation is organizational agility. In this whitepaper we will discuss the measurable and quantifiable benchmarks to achieving greater agility and show how, by implementing an application network, companies in numerous industries were able to meet and, in many cases, exceed those benchmarks.
Published By: MuleSoft
Published Date: Jan 16, 2018
Every company today is a software company and, as a result, business and technology strategies ought to be very intertwined. But often, those strategies aren’t in alignment, leading to challenges in information technology. And in today’s hyper-competitive business environment, that can be disastrous. Companies have to ask themselves: How can we tackle challenges of information technology? Are we doing IT wrong?
Today’s CIOs are the key players who enable organizations to respond to the disruptive forces and information technology challenges impacting all industries — mobile, IoT, and SaaS among others. In order to increase speed and agility there must be a strong partnership between IT and the rest of the business.
Read this e-book to learn:
Why we have been doing IT wrong, and how putting culture first and technology second, valuing reuse, and leveraging KPIs can push CIOs to the right direction.
How IT teams can address their delivery gap and increase project delivery speed by ado
Published By: MuleSoft
Published Date: Jan 16, 2018
Evolving citizen and constituent expectations have created the imperative for government to digitally transform. Delivering on these expectations grows more challenging by the year, as the proliferation of modern technologies (e.g. SaaS, mobile, IoT) forces IT teams to rethink how to best deliver projects to their constituents and deliver on their mission.
Microservices have emerged as a means through which government IT teams can increase project delivery speed without compromising on security. This whitepaper discusses the role microservices can play in government, and how API-led connectivity helps agencies to more effectively and securely implement a microservices architecture.
Readers will learn:
How agencies have increased IT agility with reusable microservices
Why government IT teams must move beyond point-to-point integration
How microservices enable secure data sharing within and across agencies
How API-led connectivity supports microservices adoption in government
Organizations increasingly require IT infrastructures that support the speed at which their businesses must operate through simplicity, efficiencies, agility, and strong performance. Hyperconverged infrastructure solutions, which enable organizations to minimize or nearly eliminate inefficiencies and complexity associated with maintaining storage and compute silos, have emerged as a strong potential solution for such organizations. IDC’s research demonstrates that organizations running workloads on Nutanix solutions such as Dell XC are benefiting are benefiting from cost and staff efficiencies, the ability to scale their infrastructure incrementally, very high resiliency, and strong application performance. This is helping interviewed Nutanix solutions customers better meet business challenges and has led many of them to establish plans for expanding their hyperconverged workload environment with Nutanix solutions.
Published By: Tricentis
Published Date: Jan 08, 2018
In this guide you'll learn how to select and integrate the right
test management solution for your team:
• Why test management software?
• How to buy: some general considerations
• The 5 must-have features
• Tips for evaluating & integrating your new solution
• Where to get additional help
BUT IT’S NOT ENOUGH.
That’s because trends like agility, mobile and cloud
computing have QA teams bursting at the seams. As a
software development leader, you are under the gun to
deliver higher-quality software at an accelerating cadence
– and still find time to provide solid evidence of testing at
any given moment.
Test case management systems are – and have been – a
clear value driver in development organizations. But many
of these systems do not support today’s unique testing
Potential cost of software
defects to U.S. economy:
$60B per year
35% of senior IT executives
can’t deliver the quality
they need to within their
Digital transformation is reshaping the business landscape faster than at any time in history. It used to take decades to disrupt a market, but natively digital companies such as Uber and Airbnb have disrupted their industries in just half a decade. Digitization is creating new winners and losers at an unprecedented rate. Organizations that adopt a digital strategy will leapfrog the competition, while those that do not will risk becoming irrelevant within five years.
One important step in becoming a digital enterprise is becoming an agile organization—that is, having the ability to take advantage of market opportunities faster than the competition. This shift to being an agile business has now become a top initiative for IT and business leaders. However, business agility cannot be achieved without having an agile IT infrastructure to enable it. This is why businesses spent more than $12 billion on technology to make IT more agile in 2014, according to ZK Research.
More so than ever before, agility matters.
A shifting competitive landscape along with heightened
customer demands, technological transformations, digital
disruptions and a host of other trends, combine to create
distinct challenges for business operations executives.
Achieving and maintaining a competitive edge in this climate
requires an advanced framework for pivoting whenever
needed—with minimal cost, maximum efficiency and optimal
outcomes. The question for every enterprise in the current
environment: Do we have the required agility to drive
decision-making capabilities that will continuously sharpen our
Published By: Red Hat
Published Date: Dec 15, 2017
Although many organizations still use traditional storage appliances, they don’t offer the agility needed by containerized environments. Containers are highly flexible and bring incredible scale to how apps and storage are delivered; traditional storage can be the bottleneck that stops this progress. The underlying storage should be highly elastic, easily provisioned by developers and admins, and, ideally, managed using the same orchestration framework (like Kubernetes).
Two trends are pushing all lines of business—across all industries—toward cloud IT.
First, IT is being stretched more than ever. IT organizations are expected to expand services and meet tighter SLAs while having fewer resources, personnel, and skills to work with. With the IT queue growing longer than ever, both IT and LOB leaders are interested in using the cloud to quickly deploy the services users need.
For most IT organizations, the current way of doing business does not map to growth or enable the flexibility to compete in the digital age. Rigid and periodic hardware-refresh cycles cannot adequately scale, and applications built for on-premises resources using traditional development and management tools are no longer flexible enough to deliver the agility businesses need to grow or compete.
The fundamental reasons to move to a cloud computing environment are the business agility, high efficiency, scalability, and availability that the pooling of elastic computing resources provides, along with significant cost reductions and support for business growth. Oracle has invested deeply in developing a broad collection of cloud services with solutions at every layer of the technology stack.Customers who deploy these solutions in Oracle Cloud derive huge benefit from the fact that they have access to Oracle’s entire technology stack in the cloud, just as they did in on-premises deployments.
This white paper explains how you, as an existing Oracle E-Business Suite customer, can take
advantage of cloud computing right now, by exploiting the capabilities of Oracle’s Infrastructure as a
Service (IaaS) and Platform as a Service (PaaS) offerings to support growth, enhance business agility,
and reduce costs and risks.
Private cloud is one of the critical deployment architectures IT teams are adopting as they transition to a service-centric delivery model. More than 75% of organizations? already use private clouds to lower costs, increase agility and exert greater control over security, data protection and compliance.
The transition to private cloud represents a paradigm shift in how IT is provisioned and data centers are deployed. Virtualization is expanding beyond servers into storage and networking, while software-defined models allow new levels of agility through advanced automation and orchestration.
The transition to the SDCC gives IT managers and security professionals the opportunity to build in a security architecture that is designed from the ground up to meet the needs of the cloud era. With the right architectural model, security can be much simpler to deploy, provision, manage, and scale. Organizations can save money, enhance protection, and leverage the agility of private and hybrid cloud infrastructures. IT teams can expand their visibility from the data center into the cloud, uncovering threats wherever they appear and coordinating an appropriate and comprehensive response.
It appears that agility and efficiency are coveted by basically everyone involved in protecting and managing data- especially those people struggling to simultaneously keep up with sprawl and meet ever-heightening expectations. One answer to these storage-related challenges centers on introducing a software-defined layer that abstracts and normalizes underlying storage repositories while still enabling already-deployed best of breed componentry to do what it does best.
Digital developments are forever shaping the way we work, bringing new innovations through our office doors almost every day. These high-demand technologies have increased expectations, with organizations now having to drive business agility at unprecedented levels.
Although we’re presented with enormous opportunity, we also face new obstacles that can block the path to success; obstacles such as the need to innovate quickly, keep costs down, and actively respond to competitive pressures.
IT departments are under constant pressure to do more with less. Now, as well as keeping the lights on, they are expected to deliver projects that create real business value. As more businesses use digital technologies to disrupt their markets, this pressure is intensifying.
Infrastructure as a service (IaaS) is evolving against this background. Initially, it caught CIOs’ attention because it helped them cut costs. Today, IaaS underpins organizations’ agility in the face of disruption and drives innovation-led growth.
Published By: MarkLogic
Published Date: Nov 07, 2017
Business demands a single view of data, and IT strains to cobble together data from multiple data stores to present that view. Multi-model databases, however, can help you integrate data from multiple sources and formats in a simplified way.
This eBook explains how organizations use multi-model databases to reduce complexity, save money, lessen risk, and shorten time to value, and includes practical examples. Read this eBook to discover how to:
Get unified views across disparate data models and formats within a single database
Learn how multi-model databases leverage the inherent structure of data being stored
Load as is and harmonize unstructured and semi-structured data
Provide agility in data access and delivery through APIs, interfaces, and indexes
Learn how to scale a multi-model database, and provide ACID capabilities and security
Examine how a multi-model database would fit into your existing architecture