BigPanda released BigPanda Environments, a new feature that enables IT teams to create customized monitoring views for any slice of their IT infrastructure - by application, team, cloud, customer, data center, or any other logical grouping of an IT environment.
“With the introduction of BigPanda Environments, we’re giving IT and DevOps teams the ability to laser focus on their specific areas of responsibility,” said Assaf Resnick, CEO of BigPanda. “It’s like a spam filter for IT alerts. By filtering out irrelevant noise, teams can spot and resolve critical issues 90% faster.”
Most companies organize their IT infrastructure into multiple operating environments, such as applications, development teams, cloud environments, customers and data centers. However, it is very difficult for IT teams to view the thousands of daily IT alerts they get in the context of those operating environments, especially when alerts originate from multiple monitoring tools that are highly siloed from one another. As a result, IT teams waste valuable time filtering through a firehose of incoming alerts to identify which events belong to which environment, determine what their impact is and decide what actions should be taken. It is a time consuming process that leads to slow detection and recovery times.
BigPanda Environments makes it possible for IT teams to easily create customizable views that are highly focused on specific IT or business criteria that enables, for example:
- Application development teams to only see alerts that are relevant to their application
- DBA teams to only see database related alerts across multiple clouds and data centers
- Client services teams to monitor SLA levels for specific customers, such as Fortune 500 accounts
The Latest
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
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) ...