Xangati unveiled StormTracker, a solution to immediately identify cross-silo storm patterns—through live storm detection as they emerge in a cloud infrastructure.
Xangati’s StormTracker gives organizations the ability to instantly identify storms, proactively track their impact and know how to remediate them by processing second-by-second insights spanning all interactions occurring throughout the cloud infrastructure.
StormTracker includes a new, robust, in-memory storm detection sub-engine integrated into Xangati’s flagship Performance Management Engine—which leverages a next generation computing architecture; and an interactive and contextual UI with multiple views into the entire cloud environment.
In addition, Xangati has integrated performance management with capacity management to deliver essential insights to admins to ensure they right-size the expansion of their cloud hardware infrastructure.
All of the new StormTracker functionality will be integrated into the company’s award-winning Xangati Management Dashboard (XMD) suite as well as its Xangati for vSphere–Free single host tool.
StormTracker will also be available as a free upgrade for existing Xangati customers.
“Assuring cloud performance is top of mind for every IT executive seeking to transform their data center. Unfortunately for these executives their clouds are being devastated by transient performance storms flying in under the radar of their pre-existing monitoring solutions,” said Alan Robin, CEO of Xangati. “Only Xangati is rising to the challenge of managing the always in flux cloud infrastructure with StormTracker empowering administrators to instantly identify emerging storms. And even more importantly provides exclusive insight on how to avoid these storms in the future.”
Xangati StormTracker highlights storms instantaneously as they emerge, with key features including:
In-Memory Storm Detection Engine:In addition to its patented Performance Management Engine, Xangati has added a new detection sub-engine designed to identify the most frequently occurring performance storms within cloud environments. The new storm detection engine incorporates an automated heuristics capability that:
- pattern matches interactions and metrics into storms
- identifies storm cause and impact
- is programmable to track the cloud’s most devastating storms: CPU, memory, storage, network, and toxic application interactions
Cloud-Oriented, Storm Tracking User Interface: In one comprehensive view, both admins and executives will now get a rapid visual understanding of the state of their cloud. The StormTracker UI enables a common framework that allows executives to organizationally drive stronger collaboration among the virtualization/sysadmin, storage and network teams for the delivery of an optimally performing cloud. The StormTracker UI functionality includes:
- Hierarchical views of the cloud, highlighting areas of the infrastructure darkened by storms
- The ability to show cascading performance impact across all cloud silos
- StormRecordings revealing the second-by-second cause of the storm and its areas of impact
- Remediation recommendations for each specific storm
- Trending analysis on storm frequency and severity.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
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 ...
