Selector AI announced the addition of new capabilities to its platform, empowering organizations with insights from the network up to the application.
The enhancements move Selector forward as a true full-stack observability and AIOPs platform.
The Summer release enables organizations to delve deeper into their network infrastructure, cloud environments, containers, and applications, providing a holistic view of their entire application ecosystem. This empowers IT operations teams to proactively identify and resolve issues, optimize resource allocation, and prevent service interruptions.
Key highlights of the new release include:
- Integrations: Selector now supports over 500 integrations across various categories, including network, infrastructure, cloud, and applications. From BGP/BMP and SNMP, CloudWatch and Stackdriver, to Postgres and NGINX, Selector seamlessly integrates with a wide range of data sources to provide comprehensive insights.
- Outlier Detection: Selector's outlier detection capabilities help connect the dots within your infrastructure, enabling rapid identification and ranking of abnormal conditions. Operations teams can proactively identify misbehaving devices and prevent outages before they occur.
- Forecasting: Leveraging advanced machine learning, Selector's forecasting capability predicts the evolution of metrics over time. Users can configure alerts based on these predictions, allowing them to proactively manage resources and prevent service interruptions.
- PingMesh: Selector's PingMesh feature provides comprehensive latency measurement and analysis for sophisticated networks. This allows network developers, engineers, and application/service developers to rapidly validate network impact on application performance. PingMesh supports complex topologies and measures latency, jitter, packet loss, and path changes.
- Deployment Model Improvements: Selector focuses on improved availability and fault tolerance with multi-node deployment and geo-redundancy capabilities. Multi-node deployment supports Kubernetes clusters, enhancing performance and scalability. Geo-redundancy ensures data replication and service availability across multiple geographic regions, mitigating the risk of service disruptions.
Kevin Kamel, VP of Product Management at Selector, said: "With these enhancements, organizations can gain unparalleled visibility into their entire network stack, from devices and interfaces to applications. This empowers them to make data-driven decisions, optimize performance, and ensure a seamless user experience."
The Latest
App sprawl has been a concern for technologists for some time, but it has never presented such a challenge as now. As organizations move to implement generative AI into their applications, it's only going to become more complex ... Observability is a necessary component for understanding the vast amounts of complex data within AI-infused applications, and it must be the centerpiece of an app- and data-centric strategy to truly manage app sprawl ...
Fundamentally, investments in digital transformation — often an amorphous budget category for enterprises — have not yielded their anticipated productivity and value ... In the wake of the tsunami of money thrown at digital transformation, most businesses don't actually know what technology they've acquired, or the extent of it, and how it's being used, which is directly tied to how people do their jobs. Now, AI transformation represents the biggest change management challenge organizations will face in the next one to two years ...
As businesses focus more and more on uncovering new ways to unlock the value of their data, generative AI (GenAI) is presenting some new opportunities to do so, particularly when it comes to data management and how organizations collect, process, analyze, and derive insights from their assets. In the near future, I expect to see six key ways in which GenAI will reshape our current data management landscape ...
The rise of AI is ushering in a new disrupt-or-die era. "Data-ready enterprises that connect and unify broad structured and unstructured data sets into an intelligent data infrastructure are best positioned to win in the age of AI ...
A majority (61%) of organizations are forced to evolve or rethink their data and analytics (D&A) operating model because of the impact of disruptive artificial intelligence (AI) technologies, according to a new Gartner survey ...
The power of AI, and the increasing importance of GenAI are changing the way people work, teams collaborate, and processes operate ... Gartner identified the top data and analytics (D&A) trends for 2024 that are driving the emergence of a wide range of challenges, including organizational and human issues ...
IT and the business are disconnected. Ask the business what IT does and you might hear "they implement infrastructure, write software, and migrate things to cloud," and for some that might be the extent of their knowledge of IT. Similarly, IT might know that the business "markets and sells and develops product," but they may not know what those functions entail beyond the unit they serve the most ...
Cloud spending continues to soar. Globally, cloud users spent a mind-boggling $563.6 billion last year on public cloud services, and there's no sign of a slowdown ... CloudZero's State of Cloud Cost Report 2024 found that organizations are still struggling to gain control over their cloud costs and that a lack of visibility is having a significant impact. Among the key findings of the report ...
The use of hybrid multicloud models is forecasted to double over the next one to three years as IT decision makers are facing new pressures to modernize IT infrastructures because of drivers like AI, security, and sustainability, according to the Enterprise Cloud Index (ECI) report from Nutanix ...
Over the last 20 years Digital Employee Experience has become a necessity for companies committed to digital transformation and improving IT experiences. In fact, by 2025, more than 50% of IT organizations will use digital employee experience to prioritize and measure digital initiative success ...
