In March, Splunk announced several enhancements to its Mission Control and Observability Cloud as well as the general availability of its Edge Processor, which should go far to extend its functionality. The company also boasts more than 2,200 partners, 13,000 active community members and 1,800 experts that can assist customers in architecting, deploying and scaling IT infrastructure with network observability capabilities. What I like about Splunk is that it provides a degree of personalization, making it easy to build applications thanks to direct access to a wide range of resources through its developer portal. As a result, the company claims it can reduce network-related alert volume by 80%, improve alert fidelity twofold and provide a sub-two-minute mean time to acknowledgment. Its engine incorporates streaming commands, machine learning, scalable indexing, search and visualization, collaboration and orchestration to create and deliver a data-centric architecture to its customers. Like Cisco and Gigamon, Splunk leverages features such as deep visibility, threat detection and issue resolution. Splunk’s unified observability and security platform delivers the capabilities to maintain the hardened security and resiliency of an organization’s modern digital infrastructure. Splunk aims to bolster enterprise resilience The sale was a smart move and should extend its market reach with a host of NDR solution providers. To expand its reach further through partnerships, Gigamon recently divested itself of its network detection and response (NDR) capabilities in the sale of ThreatInsight to Fortinet in February. Gigamon also works with an expansive ecosystem of partners, including Dynatrace. Based on my recent discussions with Gigamon’s senior leadership, I expect the company to further refine its capabilities to make them even more compelling.
Gigamon also provides visibility into encrypted network traffic in the cloud, a powerful capability that has the potential to mitigate security blind spots in hybrid cloud environments and across mobile network operator infrastructure, including LTE and 5G public networks. Instead, it offers real-time network intelligence from packets, flows and application metadata. What I like about its architectural approach is that it does not rely exclusively on the logging of metrics, events, logs and traces (MELT). Its deep observability pipeline aims to deliver network-derived intelligence to existing cloud, security and observability tools. Gigamon has quietly built compelling capabilities focusing on what it positions as "deep observability." Proof lies in customer adoption, and the company now counts NASA, the Department of Defense, Intuit and Johns Hopkins and Clemson Universities as customers, among many others. Cisco’s acquisition of AppDynamics and ThousandEyes facilitates a powerful set of capabilities, which the company calls “full-stack observability.” The adage that “The whole is greater than the sum of the parts” applies here. That is compelling functionality given the nature of modern hybrid work, in which the internet serves as the wide area network for many organizations.
While on the surface the solutions may seem to overlap, from my perspective they make a complementary pairing that covers everything from the application level to macro-scale network issue visibility. It offers a real-time view through a global dashboard, with active and passive monitoring techniques and real-time internet outage detection under the hood. Meanwhile, Cisco ThousandEyes can determine what is impacting user experiences across the internet and multiple domains. It performs several tasks, including identifying application issues, optimizing infrastructure performance, detecting security vulnerabilities and monitoring digital experience.
Cisco AppDynamics is an application performance management (APM) and IT operations analytics (ITOA) platform.
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