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
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...
An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...
Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...