As enterprises become more distributed and migrate applications to the cloud, they will need to diversify
their network performance management solutions. In particular, the network operations team will need to
complement its packet-based monitoring tools with active test monitoring solutions to enhance visibility into
the cloud and help enterprises scale monitoring gracefully and cost-effectively.
The advent of cloud computing and software-defined data center architectures for modern application delivery has made networking more sensitive than ever before. Applications in the digital age require networks that can expand and contract dynamically based on consumer demand. Enterprises are implementing software-defined networking (SDN) to deliver the automation required by these new environments, but the dynamic nature of SDN makes network management and monitoring fundamentally more challenging.
Network infrastructure teams need monitoring tools that can provide visibility into these new and constantly changing networks. This white paper explores the importance of SDN monitoring and examines a leading example of a solution, CA Performance Management with CA Virtual Network Assurance integration.
IT organizations using machine data platforms like Splunk recognize the importance of consolidating disparate data types for top-down visibility, and to quickly respond to critical business needs. Machine data is often underused and undervalued, and is particularly useful when managing infrastructure data coming from AWS, sensors and server logs.
Download “The Essential Guide to Infrastructure Machine Data” for:
The benefits of machine data for network, remote, web, cloud and server monitoring
IT infrastructure monitoring data sources to include in your machine data platform
Machine data best practices
The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data—the largest category of big data—which is both untapped and full of potential.
Download this white paper to learn:
*How organizations can answer critical questions that have been impeding business success
*How the financial services industry can make great strides in security, compliance and IT
*Common machine data sources in financial services firms
One of the biggest challenges IT ops teams face is the lack of visibility across its infrastructure — physical, virtual and in the cloud. Making things even more complex, any infrastructure monitoring solution needs to not only meet the IT team’s needs, but also the needs of other stakeholders including line of business (LOB) owners and application developers.
For companies already using a monitoring platform like Splunk, monitoring blindspots arise from the need to prioritize across multiple departments. This report outlines a four-step approach for an effective IT operations monitoring (ITOM) strategy.
Download this report to learn:
How to reduce monitoring blind spots when creating an ITOM strategy
How to address ITOM requirements across IT and non-IT groups
Distinct layers across ITOM Potential functionality gaps with domain-specific products
IT organizations struggle with numerous challenges — hybrid environments, lack of visibility during cloud migration, multiple infrastructure monitoring tools, and reliance on manual processes. Yet according to a 2018 global survey, less than half of IT practitioners are confident they can ensure performance and system availability with their current toolset.
As a Splunk customer, you understand the power of running your monitoring and logging environment in a machine data platform. Are you utilizing your machine data platform to effectively run APM, infrastructure monitoring and Network performance monitoring and diagnostics?
This guide outlines the 8 biggest mistakes IT practitioners make and provides solutions, key takeaways and real-world examples to help you improve IT monitoring and troubleshooting in your organization.
Download your copy to learn how to:
Achieve end-to-end-visibility throughout cloud migration
Find trends and root cause faster with automated investigations
Published By: nimsoft
Published Date: Apr 10, 2012
In the past few years, the enterprise computing landscape has changed dramatically. Changes such as virtualization and cloud computing are rendering legacy monitoring tools virtually useless. This paper explores today's computing trends and their monitoring implications in detail. It also introduces solutions that address the monitoring needs of tomorrow's enterprises.
In this O'Reilly report, author Andy Still points out:
• How the advantages of using cloud-based systems outweigh the disadvantages
• How you can closely monitor system elements that you don’t control, with Real User Monitoring (RUM) and other tools
• How to use a CDN and cache data as close to users as possible
• How to architect your systems to gracefully handle potential cloud service failures
Capturing the detailed actions of privileged users is even more critical in today’s business environment. Security and compliance issues also exist with third-parties including Cloud Providers, Service Providers and ISVs. And every major compliance regulation requires organizations to document what users actually do with the privileges and rights granted to them and how their actions impact the IT environment.
This research paper covers how to solve the security, compliance, and third party access challenges organizations face when auditing and monitoring UNIX, Linux and Windows systems; and why traditional approaches like log rollup tools alone will fail to meet requirements of today’s demanding IT environment.
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