Latest news with #Selector
ITV News
3 days ago
- Climate
- ITV News
Glastonbury day 5: Highlights from Worthy Farm on the last day of the festival
It's the last day of Glastonbury 2025 and festival-goers are gearing up for a day of music and celebrations. Celeste and the Selector have already kicked off the festival's final day on the Pyramid stage with other artists including The Libertines, Nile Rodgers & Chic and Olivia Rodrigo coming up later. Rod Stewart is also set to play on the Pyramid Stage for Glastonbury's coveted legends slot at 3:45pm. On the Other Stage, thousands of ticket-holders will attend sets by Snow Patrol, Wolf Alice and The Prodigy. Jorja Smith will be headlining the Woodsies Stage as she returns to perform at Glastonbury for the second time. The English singer and songwriter first took to the stage at Worthy Farm in 2019. After days of sweltering sunshine and high temperatures, festival-goers are welcoming a cloudier start to the day. However, the UK Health Security Agency (UKHSA) and the Met Office's amber heat-health alert is still in force today, with people urged to be cautious in the sun. Temperatures are expected to reach highs of 27 degrees today, with the mercury set to rise closer to 30 on Monday (30 June). The UKHSA South West has issued the following advice for those at Glastonbury Festival:
Techday NZ
6 days ago
- Business
- Techday NZ
Harness launches AI Test Automation for faster DevOps testing
Harness has announced the general availability of its AI Test Automation product, aiming to address the challenges of software testing in fast-paced DevOps environments. According to Harness, the AI Test Automation solution has been developed in response to the increasing strain placed on QA and DevOps teams as organisations speed up feature delivery via AI-generated code. These accelerated product cycles have heightened the demand for faster, more resilient testing approaches, with many organisations still largely reliant on manual processes. Testing bottlenecks The company cited industry statistics showing that although significant investment is made in software QA, around 70 to 80% of organisations continue to use manual testing methods. These approaches, Harness noted, have become key obstacles in automated delivery pipelines, introducing both delays and additional risk by failing to keep pace with changes to software and infrastructure. AI Test Automation incorporates automated, self-healing testing designed to adapt to real-time changes in user interfaces, workflows, and environmental variables. Automated tests are maintained without manual intervention, replacing what the company terms "outdated" test frameworks with a more adaptive approach. Intent-based testing The solution allows users to create tests in natural language with no need for code scripting, using what Harness describes as intent-based test creation. QA and development personnel can type test descriptions, such as "Did the login succeed?", while the AI system generates, validates, and maintains the necessary test cases. Visual testing features and adaptive selectors are advertised as cutting test creation time by up to 90% and reducing test flakiness by up to 70%. Sushil Kumar, Head of Business, AI Test Automation at Harness, said: Traditional testing methods struggled to keep up, it is too manual, fragile, and slow. So we've reimagined testing with AI. Intent-based testing brings greater intelligence and adaptability to automation, and it seamlessly integrates into your delivery pipeline. The platform includes live test authoring, visual testing, and automated assertion generation. Tests may be maintained automatically when UI or workflow changes occur, using AI-generated selectors and Smart Selector technology. Automatic translation of environment variables is designed to enable stable tests to run across different environments without reconfiguration. Efficiency and integration Harness AI Test Automation operates within the company's existing CI/CD pipelines to promote a shift-left testing strategy. The product supports parallel test execution and data-driven workflows at scale, while maintaining security requirements such as SOC 2 Type 2 compliance. For advanced scenarios, users can still leverage custom JavaScript or Puppeteer scripts, combining no-code capabilities with traditional flexibility. The system's automated approach is intended to help organisations optimise their resources. Several customers reported notable benefits in time savings and test coverage. For example, Wasimil, a hotel booking and management platform, reported halving its test maintenance time and doubling its automation coverage. Customer feedback Rohan Gupta, Principal Product Manager at Harness, described the internal usage of the solution: With AI Test Automation, I just literally wrote out and wireframed all the test cases, and in a matter of 15–20 minutes, I was able to knock out one test. Using the templating functionality, we were able to come up from a suite of 0 to 55 tests in the span of 2 and a half weeks. Amrita Majumder, Lead QA Engineer at Siemens Healthineers, shared a similar experience: We could just see in the browser exactly where it went wrong and directly edit that step. That was really fast and quick. Tom, CTO at Wasimil, commented on the impact on product development focus: With AI Test Automation, we could ship features, not just bug fixes. We don't wanna spend 30 to 40% of our engineering resources on fixing bugs because we can't be proud to ship bug fixes to our customers. Right? And they expect features, not bug fixes. Industry positioning Harness states that the AI Test Automation product achieves a fully automated software delivery platform within a single environment, supporting automated build, test, and deployment workflows. The company highlights reported outcomes including faster test creation, reduced maintenance, accelerated release cycles, and improved developer experience in enterprise software environments.
Yahoo
27-05-2025
- Business
- Yahoo
Itential & Selector Partner to Deliver AI-Driven, Closed-Loop Automation for Network & Infrastructure Operations
Partnership brings AI-powered observability and automated remediation together to deliver closed-loop network operations. ATLANTA & SANTA CLARA, Calif., May 27, 2025 /PRNewswire/ -- Itential, the cloud-native leader in network automation and orchestration, and Selector, the leader in AI-driven network operations, today announced a strategic partnership to deliver real-time, closed-loop automation for enterprise and service provider infrastructure teams. The integration between the Itential Platform and the Selector AIOps Platform bridges a critical operational gap — turning insights into instant action. By combining real-time event detection and root cause identification from Selector with policy-driven orchestration and automated remediation from Itential, teams can now detect, diagnose, and resolve issues across hybrid environments automatically — with no manual intervention required. "The combination of AI-powered observability and intelligent orchestration is a game changer for modern infrastructure teams," said Peter Sprygada, Chief Architect, Itential. "Selector provides deep, real-time insights into what's happening in the environment, and Itential enables those insights to drive immediate, automated action. Together, we're helping organizations unlock the true promise of AI-driven infrastructure — seamless, secure, closed-loop operations that are faster, smarter, and fully automated." Solving the Alert-to-Action Gap in Infrastructure OpsToday's infrastructure teams face growing complexity, a flood of noisy alerts, and a widening skills gap. Monitoring tools may detect issues — but teams still rely on manual steps to interpret, respond, and remediate. This slows response times, increases risk, and consumes valuable engineering hours. With Itential + Selector, that manual chain is broken. Selector applies machine learning to correlate anomalies across telemetry, logs, and events to identify the root cause of incidents. Itential receives these triggers in real-time and executes automated workflows to resolve issues, update inventory, and close tickets — all while maintaining full auditability and policy alignment. Joint Use Cases & BenefitsThe Itential + Selector integration empowers infrastructure and operations teams to move faster and respond smarter. From routine maintenance to urgent incident response, the joint solution enables AI-driven, fully automated, closed-loop workflows across a range of everyday use cases: Automated Port Resets: Detect degraded port performance and trigger policy-driven fixes without opening a ticket. Compliance Remediation: Identify non-compliant configurations and automatically correct them in real time. Service Degradation Resolution: Surface root cause from noisy alerts and orchestrate resolution across systems. "This partnership is a big step forward for infrastructure teams," said Kannan Kothandaraman, CEO and Co-Founder of Selector. "By integrating our observability and AIOps platform with Itential's orchestration platform, we're enabling organizations to go beyond detection. Together, we're helping teams move faster, cut through the noise, and finally close the loop between detection and resolution. This partnership brings us one step closer to fully autonomous, self-healing networks." By combining Selector's AI-driven insight with Itential's intelligent orchestration, organizations can reduce mean time to resolution (MTTR), eliminate manual escalations, and operate with greater confidence — whether responding to anomalies, performing routine tasks, or automating across cloud and network domains. Close the Loop @ Cisco LiveThe integrated solution will be showcased live at Cisco Live San Diego, where both Itential and Selector will have booths in the World of Solutions. Attendees are invited to see a joint demo and join the "Close the Loop" scavenger hunt and enter to win prizes including an LG TV on the Go. To learn more about the joint solution, register to attend our upcoming webinar here, and visit and About SelectorSelector delivers AI-powered observability and event correlation for enterprises and service providers. The platform ingests data from logs, metrics, and events to provide real-time insights and actionable intelligence across infrastructure, networks, and applications. Learn more at About ItentialItential simplifies and accelerates network and infrastructure automation. Purpose-built for enterprise and service provider environments, the Itential Platform enables teams to design, orchestrate, and execute end-to-end workflows across any domain, any vendor, and any environment — all with full compliance and control. Learn more at View original content to download multimedia: SOURCE Itential Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Associated Press
10-02-2025
- Business
- Associated Press
Selector Accelerates Momentum in 2024: Triples ARR, Launches Groundbreaking Network Language Model, and Attracts Major New Fortune 500 Customers
Network AIOps leader paves way for strong growth and market leadership in 2025 SANTA CLARA, Calif., Feb. 10, 2025 /PRNewswire/ -- Selector, an industry leading platform for managing multi-domain network and application infrastructure, is reporting a doubling of its Annual Recurring Revenue (ARR) for the third consecutive year—a 398% growth rate—and client Net Revenue Retention of 170%. Selector is an industry leading platform designed to generate real-time, actionable insights for managing multi-domain network and application infrastructure. The company's customized AI solutions leverage machine learning to monitor, detect and safeguard organizational networks against downtime, operational issues and revenue disruption. '2024 was a transformative year for Selector as we continued to deepen our technological leadership, expand our global footprint, and drive unprecedented growth,' said Kannan Kothandaraman, CEO of Selector. 'Our Series-B funding and strategic international expansion will continue to fuel our significant growth while meeting the evolving needs of enterprises worldwide. Thanks to our success in 2024, we've effectively set the stage for another breakthrough year in 2025.' The company's technology is being deployed by some of the largest telecommunications and enterprise companies and is seeing increased adoption by new large-scale customers. During 2024, the company expanded its Fortune 500 customer base, adding marquee clients across critical industries including healthcare, financial services, retail, and telecommunications. These strategic expansions underscore Selector's ability to deliver transformative operational intelligence solutions across diverse and complex enterprise environments. Funding News Selector closed a $33M Series-B funding round in the second half of 2024, led by Ansa round was led by Ansa Capital, a New York City-based venture capital firm that invests in enterprise software companies, other new investors in the round were AT&T Ventures, Bell Ventures, Singtel Innov8, and Hyperlink Ventures. They were joined by existing investors Two Bear Capital, Atlantic Bridge, and Sinewave Ventures. The new investment brings Selector's total funding to more than $66 million. Innovation Highlights Key innovation initiatives for Selector in 2024 included: Network Language Model (NLM): The industry's first NLM helps operations teams talk to their networks with a simple natural language interface to make faster, data-driven decisions. It gleans network insights from emails, maintenance logs, and other sources and presents actionable resolutions for operators. This minimizes false alarms, improves alert accuracy, and reduces manual work. Enhanced Digital Twin Technology: IT teams can predict network behavior through 'What-If' scenarios to improve risk management and resolve problems faster across all network layers. IT teams can now foresee failures before they happen, enabling efficient decision-making without interfering with the real network and reducing risks to their infrastructure. Programmable Synthetics Sensors: These advanced sensors give real-time visibility into application performance and availability and seamlessly connect this data with network infrastructure. By proactively finding and fixing application performance issues before they impact end-users, organizations can protect revenue and ensure a smooth user experience. Industry Recognition In 2024, Selector continued to be recognized by industry analysts and publications, winning numerous awards and recognition. Selector was named in nine Gartner® Hype Cycle reports, which can be found in our press release earlier this year. Gartner's recognition validates Selector's leadership in AI-driven event intelligence and AIOps solutions. Additionally, Selector was featured in the 2024 Futuriom 50 Cloud Market Trend Report, further solidifying its position as a leading innovator in AIOps and observability. Selector was also recognized as a winner of the Bay Area Best Places to Work, an awards program presented by the San Francisco Business Times and the Silicon Valley Business Journal. Channel Growth and Market Expansion To support rapid growth, Selector strengthened its go-to-market strategy with key initiatives, including the expansion of its partner program under new channel leadership. The firm also achieved a remarkable 175% year-over-year growth in channel transactions. Additionally, Selector became part of the Google Cloud Network observability partner ecosystem, offering joint customers comprehensive visibility across cloud and hybrid networks. The company is expanding in Asia with the opening of its first international office in Japan, demonstrating a commitment to supporting technological innovation in one of the world's most advanced markets. With these milestones, Selector is poised to continue its growth trajectory in 2025 through continued market expansion, product innovation, and strategic partnerships. About Selector Selector is an AIOps solution that gives the world's largest companies complete visibility and intelligence into their highly complex networks, infrastructure, and applications. Leading telecommunications companies, cloud service providers (CSPs), and enterprises across industries use the company's technology to ensure their networks are up, operating, and generating revenue. It achieves this by eliminating the 90% of repair time teams spend manually identifying the origins of incidents and outages. Selector's AI engine interfaces directly with its industry-first network large language model (NLM) to sort through enormous volumes of data autonomously, making troubleshooting instantaneous. Now, for the first time ever, network teams can have real-time conversations in human language with all their data across warehouses and tooling to fix issues exponentially faster. Selector's AIOps and Event Intelligence solution has been recognized by Gartner in multiple Hype Cycle reports. Founded in 2019, Selector is backed by Two Bear Capital, Atlantic Bridge Ventures, Sinewave Ventures, Ansa Capital, Singtel Innov8, Hyperlink Ventures, AT&T Ventures, Bell Ventures, Comcast Ventures, and others.
