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 3 more reasons to use these new NPM/APM analytics solutions.
Start with 6 Reasons Every NetOps Team Should Use a Packet-Based Analytics Solution - Part 1
4. Reduce tool sprawl
Teams are sick of adding more and more tools. The new NPM/APM solutions consolidate key functionality and offer flexible new dashboards that allow teams to monitor the information that matters most to their organization and team. For example, monitor key applications like Office365, WebEx and Salesforce in a single dashboard that includes application performance, network performance, transaction quality and VoIP quality; metrics that in the past required several solutions from several vendors to achieve the same level of visibility.
5. Get an integrated packet view
It's not enough to just be notified of abnormalities and problems. When these happen, you need immediate access to the packets that matter so you can troubleshoot and remediate. Also, NetOps needs information on the worst-performing parts of their network. Many products only calculate and display averages of network metrics like latency, utilization and VoIP quality, which can obscure problems that only affect a small number of flows. For example, a typical network will have thousands if not tens of thousands of HTTP flows at any given moment. If only a few exhibit poor network latency, and the dashboard shows the average network latency for all HTTP (which many dashboards do), the few flows that exhibit poor network latency will be masked by the good performance of all of the other flows. This example illustrates the absolute need to be able to pick the worst flows, out of millions, at any given moment to make sure critical issues are not overlooked.
6. Monitor SaaS SLAs
Whether you're offering a service or using one, being able to validate the agreement is critical, especially if problems arise. Packet data doesn't lie, which means if you have that information, you have what's needed to ensure SLAs are being delivered. Using today's modern dashboards, you can set your SLA thresholds for network latency, application latency, transaction quality and VoIP quality, and let the software constantly monitor millions of flows and let you know when even a single flow exceeds your SLAs.
As mentioned above, there's real cost associated with any kind of operational downtime, so avoiding or at least minimizing these issues is a NetOps priority. Therefore, it's critical to maintain a high-quality end-user experience for employees and customers. The powerful new analytics tools available today allow IT teams to anticipate network and application performance problems and react in real time. Rather than waiting for complaints, it's now possible to monitor every aspect of network traffic and performance at an incredibly granular level, making network problems much more visible even as the speed and volume of network traffic rises dramatically. The vision of network continuity all day, every day, across the entire network, is finally here.
The Latest
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...
Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...
Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...
High-business-impact outages are costly, and a fast MTTx (mean-time-to-detect (MTTD) and mean-time-to-resolve (MTTR)) is crucial, with 62% of businesses reporting a loss of at least $1 million per hour of downtime ...