ExtraHop announced the fourth generation of its Wire Data Analytics Platform. The latest iteration offers an expanded array of out-of-the-box functionality, including a redesigned analytics user interface (UI), the ability to store ExtraHop’s wire data on network attached storage for unlimited look-back, and an Open Data Context API that can consume third party data for enriched, correlated insight. These features empower IT and business stakeholders with the functionality and scale needed to discover, explore, and uncover new and valuable insights from wire data.
“In recent years, next-generation IT Operations Analytics (ITOA) solutions like ExtraHop have emerged, empowering IT as well as key stakeholders throughout the business to derive compelling insight for more timely, better-informed business decision-making,” said Jesse Rothstein, CEO, ExtraHop. “Working closely and cooperatively with our enterprise customers as they’ve embraced this new paradigm has enabled us to rapidly advance the state of the art. This fourth generation of the ExtraHop platform reflects the depth and breadth of our experience working in these increasingly complex, large-scale environments.”
ExtraHop’s latest platform delivers:
- Out-of-the-Box Dashboards that enable intuitive, real-time analysis of complex datasets. Users can now search, discover, and analyze wire data based on a wide variety of factors including metric type, role, time period, and even geographic location. Other key features include the ability to search, view, and understand the relationships of native and custom metrics within a single metrics catalog, and the metric explorer enables users to easily explore, graph, and share any metrics they want to visualize, compare, overlay, or trend.
- Time-Based Comparative Analysis, an industry first, enables users to compare the analysis of any attribute in the ExtraHop platform with the same attribute, at the same time, on any date in the past. This capability enables very powerful and simplified baselining for DevOps personnel during application updates or rollouts, Enterprise Architects for capacity planning and trending purposes, and Security Analysts wanting to alert and trend on anomalous behavior.
- Universal Payload Analysis, another industry first, allows users to rapidly monitor any TCP or UDP based application protocol that is not natively supported by ExtraHop, including custom and proprietary enterprise protocols. Users can leverage the extracted information for both operational and business analytics, as well as search for strings in any payload to record, visualize, trend, and alert.
- The Open Data Context API allows customers to further enrich insights from wire data by contextualizing them with data from third-party sources. With the API, users can ingest information from a wide range of third party data sources (e.g. user IDs) into ExtraHop’s session table. The API is bi-directional and also allows external sources to pull information from ExtraHop’s session table.
- ExtraHop’s Extended Datastore leverages network attached storage to enable unlimited look-back for longitudinal analysis of wire data. This feature was developed based on increasing customer recognition of the significant value of wire data for long-term security forensics, performance trending, capacity planning, and business analytics.
This latest generation platform also includes recently released platform features, including ExtraHop’s Open Data Stream (ODS) and the ExtraHop Healthcare Edition. ODS is ExtraHop’sopen architecture that gives enterprise IT the flexibility and freedom to stream valuable data sets from ExtraHop into highly-scalable, and non-proprietary environments. The Healthcare Edition is an ITOA solution designed to provide heterogeneous, real-time visibility into all HL7 transactions within a healthcare environment.
The Latest
For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...
FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...
Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...
While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...
A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...
In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability...
While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...
Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...