Vendor Forum
IT organizations are constantly trying to optimize operations and troubleshooting activities and for good reason. Let's look at one example for the medical industry. Networked applications, such as electronic medical records (EMR), are vital for hospitals to provide outstanding service to their patients and physicians. However, a networking team can often not be aware of slow response times on the remotely hosted EMR application until a physician or someone else calls in to complain ...
In 2014, AWS Lambda introduced serverless architecture. Since then, many other cloud providers have developed serverless options. What’s behind this rapid growth? ...
Consumers will now trade app convenience for security, according to a study commissioned by F5 Networks, The Curve of Convenience – The Trade-Off between Security and Convenience ...
Nearly half (48 percent) of consumers report that they currently use, or have used in the past, services of organizations that were involved in a publicly disclosed data breach and, of those, 48 percent have stopped using the services of an organization because of a breach, according to Global State of Digital Trust Survey and Index 2018, a new report from CA Technologies ...
Here's the problem: IT teams are in the dark. The only information they have available to them is based on what users decide to tell them about through calls to the help desk ...
Retailers are already busy prepping to avoid an Amazon Prime type meltdown during the holiday shopping season. However, rather than focusing efforts on coping with surges in traffic to your website, you also need to be thinking about the ongoing speed of your site ...
There are many pain points that companies experience when they try to deploy and run Big Data applications in their complex environments or use public or private cloud platforms, and there are also some best practices companies can use to address those pain points. Here are 5 more pain points and corresponding best practices ...
The word "Big" in Big Data doesn't even come close to capturing what is happening today in our industry and what is yet to come. The volume, velocity, and variety of data that is being generated has overwhelmed the capabilities of infrastructure and analytics we have today. There are many pain points that companies experience when they try to deploy and run Big Data applications in their complex environments or use public or private cloud platforms, and there are also some best practices companies can use to address those pain points ...
Modern enterprise growth is heavily reliant on an organization's ability to assess past IT events to then look forward, anticipate and prevent service failures from happening. This is the crux of predictive analytics. Today's fast-moving enterprises have data and expertise locked up in siloed organizations, making it difficult to extract actionable insights, which inevitably impacts the scale, size and speed of a company's growth. The following are steps to build the best predictive analytics team ...
Most enterprises lack the complete visibility required to avoid business-impacting application outages and slowdowns – resulting in nearly 90 percent of enterprises being unable to consistently meet service level agreements (SLAs) for their business-critical applications, according to a recent survey conducted by Dimensional Research and Virtual Instruments. This research indicates a serious gap in IT operations teams' ability to monitor their enterprises' highly virtualized, multi-vendor hybrid data center environments, and the results show that this lack of visibility is significantly impacting business ...
As IT service delivery solutions change, organizations are looking to next generation technologies (NGTs) to increase efficiency and deliver a better customer experience. Specific technologies like "cloud-to-the-edge" and artificial intelligence (AI), as well as marketplace shifts like the proliferation of the subscription economy and the importance of Digital Transformation, necessitate action for organizations to keep pace with their competitors ...
As businesses look to drive more and more value out of the organization, is there a way that IT can help? While the answer could be yes, the problem is time ...
According to a recent survey, critical IT incidents cost the average organization upwards of $6 million per year. This infographic outlines 4 easy steps to automate incident management, reducing downtime and costs to organizations ...
The essential value resulting from data-driven processes has become progressively linked with analytics. Once considered a desired complement to intuitive decision-making, analytics has developed into a main focus of mission-critical applications across industries for any number of use cases ...
The question of SaaS-based technology over the past decade has quickly changed from "should we?" to "how soon can we?" even for the most customized and regulated of industries. This macro move toward SaaS has also encouraged a series of IT "best practices" that have potential impacts on the employee digital experience, organizational risk and ultimately, productivity ...
Optimization means improving the performance of your human and technology resources while keeping a watchful eye. To accomplish this, we must have clear, crisp visibility into the metrics relevant to the delivery of workspace applications to your end users and to the devices – the endpoints – they use to be productive ...
Given the size and complexity of today's IT networks it can be almost impossible to detect just when and where a security breach or network failure might occur. It's critical, therefore, that businesses have complete visibility over their IT networks, and any applications and services that run on those networks, in order to protect their customers' information, assure uninterrupted service delivery and, of course, comply with the GDPR ...
A new breed of solution has been born that simultaneously provides the precision of packet-based analytics with the speed of flow-based monitoring (at a reasonable cost). Here are more reasons to use these new NPM/APM analytics solutions ...
A new breed of solution has been born that simultaneously provides the precision of packet-based analytics with the speed of flow-based monitoring (at a reasonable cost). Here are 6 reasons to use these new NPM/APM analytics solutions ...
There’s no doubt that digital innovations are transforming industries, and business leaders are left with little or no choice – either embrace digital processes or suffer the consequences and get left behind ...
