Latest news with #observability
Yahoo
2 days ago
- Business
- Yahoo
Dynatrace Named a Leader and an Outperformer in 2025 GigaOm Radar Report for Kubernetes Observability
Company positioned closest to the center of the Radar, underscoring its ability to help customers understand their dynamic cloud environments beyond the capacity of competitive solutions BOSTON, August 07, 2025--(BUSINESS WIRE)--Dynatrace (NYSE: DT), the leading AI-powered observability platform, has been named a Leader and an Outperformer in the 2025 GigaOm Radar Report for Kubernetes Observability. GigaOm evaluated 23 of the top Kubernetes observability solutions based on a range of criteria, including scalability, ease of use, compliance and governance, cost, ecosystem and flexibility. Dynatrace's positioning as a Leader and an Outperformer affirms its ability to provide customers with scalable, AI-powered root cause analysis and full-stack hybrid cloud observability into Kubernetes environments. Read a complimentary copy of the 2025 GigaOm Radar Report for Kubernetes Observability here. According to GigaOm analyst Dr. Shane C. Archiquette, the report's author, "Dynatrace was classified as an Outperformer, given its fast-paced innovation in AI-driven observability and telemetry unification. The platform's continued fusion of security, observability, and automation positions it as a strategic solution for enterprises looking to consolidate tooling and scale their SRE operations with intelligence at the core." Visibility into Kubernetes environments continues to pose a challenge for enterprises, compared to traditional technology stacks. Dynatrace's Davis® AI engine combines the best of causal, predictive, and generative AI techniques to surface and contextualize root causes automatically. The platform's AI capabilities are a major differentiator in reducing MTTR and align with enterprise needs for intelligent automation to manage complex, multi-environment architectures. As a result, Dynatrace provides critical business context, as it helps teams predict and prevent issues before they impact end users, directly tying observability to business outcomes. "GigaOm's recognition reaffirms our commitment to redefining observability for a new era of autonomous intelligence," said Alois Reitbauer, Chief Technology Strategist at Dynatrace. "Being named both a Leader and an Outperformer highlights the momentum behind our platform as enterprises navigate increasingly complex, cloud-native environments. By combining unified observability and security with agentic AI, we are enabling customers to prevent issues, automatically remediate issues, as well as continuously optimize Kubernetes environments." About Dynatrace Dynatrace is advancing observability for today's digital businesses, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward. To learn more about how Dynatrace can help your business, visit visit our blog and follow us on LinkedIn and X @dynatrace. Curious to see how you can simplify your cloud and maximize the impact of your digital teams? Let us show you. Sign up for a 15-day Dynatrace trial. Dynatrace and the Dynatrace logo are trademarks of the Dynatrace, Inc. group of companies. All other trademarks are the property of their respective owners. © 2025 Dynatrace LLC. View source version on Contacts Investor Contact:Noelle FarisVP, Investor Media Relations:Dynatrace PR Teampr-team@ 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
Yahoo
2 days ago
- Business
- Yahoo
Wall Street Says Datadog (DDOG) Is One of Two Key Winners in Observability
Datadog, Inc. (NASDAQ:DDOG) is one of the . On August 5, DA Davidson analyst Gil Luria raised the price target on the stock to $160.00 (from $125.00) while maintaining a 'Buy' rating. The rating affirmation is based on the firm's strong observability demand. According to the research firm, proprietary developer datasets demonstrate significant growth in usage and strong quarterly demand for Datadog's services. Checks further reveal how observability has become a 'two-horse race,' and that Datadog is clearly positioned as one of the market leaders. 'We provide our updated thoughts on DDOG based on analysis from our proprietary developer datasets which showed significant growth in usage suggesting a strong quarter in terms of demand. Checks with the DEN and key industry players emphasized Observability as a two-horse race with Datadog clearly one of the winners." A financial analyst in their office, monitoring the daily performance of the stock market. "Overall, we continue to look past the narrative around OpenAI and view the company as well positioned for growth and a benefactor in the rotation from AI hardware to AI software infrastructure. Reiterate BUY rating. PT to $160 from $125.' Datadog, Inc. (NASDAQ:DDOG) offers a cloud-based SaaS platform for monitoring and analytics, specializing in cloud computing and AI-powered cybersecurity products. While we acknowledge the potential of DDOG as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: and . Disclosure: None. Sign in to access your portfolio
Forbes
3 days ago
- Business
- Forbes
Next-Gen Performance Engineering: From APM And Observability To SRE
Harikrishnan Muthukrishnan, Principal IT Developer at Florida Blue. Modern application development doesn't end at production deployment—it's just the beginning. After deployment, application success depends on tracking user adoption, performance, observability, compliance and continuous improvement. Today's applications are dynamic, distributed systems requiring real-time issue detection within defined service level agreements (SLAs). Hybrid cloud and AI/ML integrations add complexity through increased telemetry, larger data volumes, fragmented tools and greater compliance demands. The global observability tools and platforms market is expected to grow from $2.4 billion in 2023 to $4.1 billion by 2028, at a CAGR of 11.7%. As an architect and administrator for Fortune 500 companies across various industries and continents, I've shaped application monitoring strategies in healthcare, retail, HR and other sectors. In this article, I'll share the core principles I rely on, practical implementation tactics and emerging trends in performance engineering, observability, auditability and user journey tracking—all aimed at driving continuous improvement. Building The Foundation Effective application monitoring and observability begin with well-defined requirements. Success depends on translating those requirements into a practical design and implementing them accurately and thoughtfully. Monitoring (registration required) answers the question 'what is happening?' by collecting and visualizing predefined metrics like URL availability, CPU and memory usage, uptime and database query times. Alerts are triggered when a service is down or a threshold is exceeded, prompting a reactive response. This approach worked well for traditional monolithic systems but falls short in modern, microservices-based environments like Kubernetes. Application performance monitoring (APM) answers 'how is my application performing?' It uses logs, traces and alerts—often generated through APM agents or modules—to monitor key workflows like login or checkout. While APM focuses on application health and user experience, it has limitations in providing deeper insights into infrastructure or broader system context. Observability answers 'why is it happening?' by collecting logs, metrics and traces, then analyzing them through dashboards to support root cause analysis. These tools help IT teams detect issues in real time—like slowdowns from a third-party API—and respond proactively. OpenTelemetry and its protocol (OTLP) have become the standard for collecting and transmitting telemetry data. They eliminate the need for vendor-specific software development kits (SDKs) and provide consistent, reliable data across cloud, on-prem, microservices, containers, databases and more. Key benefits include vendor neutrality, strong correlation across systems, AI/ML readiness, DevOps compatibility and lower costs. Evolving With Hybrid Cloud And AI/ML As hybrid cloud and AI/ML technologies continue to reshape enterprise IT, observability solutions must evolve to meet new operational demands. Below are key practices and trends driving this evolution. Originally developed at Google, site reliability engineers (SREs) are software engineers who balance software development with operational responsibilities. SREs dedicate half of their time to managing uptime and production health and the other half to automating tasks and improving system reliability. Their approach hinges on service level agreements (SLAs), service level objectives (SLOs) and service level indicators (SLIs) to ensure systems are measurable, dependable and aligned with user expectations. Modern observability platforms offer full-stack visibility, unified telemetry ingestion, AI-powered insights and native integrations with CI/CD pipelines and security tools. These platforms automate routine tasks such as: • Alert routing • Intelligent log analysis • Baselining of system behavior • Self-healing workflows • Agent injection via CI/CD or Kubernetes Operators This automation is essential for managing the scale and speed of today's deployments. Synthetic monitoring allows organizations to simulate and validate critical user flows in production, regardless of user location. It continuously tests key transactions and alerts teams to problems before they affect actual users. As data pipelines grow more complex—with multiple sources, warehouses and lakes—data observability helps data engineers monitor their flow, identify issues early and alert stakeholders before downstream systems are affected. This is increasingly vital with the rise of AI and ML-driven applications. Artificial intelligence for IT operations (AIOps) is revolutionizing operations by reducing the need for manual intervention. Integrated with observability platforms and DevSecOps tools, AIOps automates: • Incident detection and resolution • Root cause analysis • Performance optimization • Capacity planning and scaling • Noise reduction in alerting • Real-time log analysis • Cloud cost optimization • Support for CI/CD workflows This enables faster, smarter responses and reduces operational overhead. Future Trends Shaping APM, Observability And SRE Looking ahead, several key trends are shaping the future of application monitoring and operations: End-to-end tracking of the user journey allows for AI/ML-assisted process mining, enabling self-healing systems and operational optimization. Low-code platforms are emerging as major drivers of innovation in this space. Security and observability are converging. Observability tools are increasingly integrated with DevSecOps frameworks to automate compliance reporting, enforce data governance and detect threats, critical for organizations with regulatory requirements. As edge computing grows, observability must reach remote, distributed environments. Emerging tools now offer real-time visibility and automated management at the edge, supporting low-latency, mission-critical applications. Closing Thoughts The future of APM, observability and SRE is defined by AI-driven automation, open standards, sustainability, integrated security and the ability to manage complexity across hybrid and multicloud environments. Organizations that understand these trends can position themselves to achieve greater resilience, efficiency and business value in an increasingly dynamic and digital landscape. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Zawya
3 days ago
- Business
- Zawya
Riverbed launches new AI-driven intelligent network observability solutions
Bundled Solutions Include Riverbed IQ Essentials to Surface Root Causes While Enabling Proactive and Accelerated Remediation Across Complex, Hybrid Environments Riverbed Observability Bookings experience 92% Growth in First Half 2025 Dubai, United Arab Emirates – Driven by a new era of compounding data and applications growth, Riverbed, the leader in AIOps for observability, today announced the launch of its new AI-powered intelligent network observability solutions, significantly enhancing network visibility for enterprise IT teams and enabling them to proactively identify and resolve problems in real-time before they escalate into business challenges.1 The new solutions will deliver even greater value for the Riverbed Platform, and build on strong market momentum –with Riverbed observability bookings growth of 92% year-over-year (YoY) in the first half of 2025. With this launch, Riverbed is ushering in a new era of intelligent network observability, shaped by the realities of increasing enterprise complexity and grounded in the emerging requirements of a seamless digital experience. Supporting surging network traffic demands, Riverbed's launch includes the rollout of the new Riverbed xx90 appliance series for its AppResponse, NetProfiler, and Flow Gateway network observability offerings, delivering up to 3x the performance of the previous generation systems at the same price. For organizations seeking to maximize their technology investments while optimizing cost-savings, customers can now consume these new intelligent network observability solutions through the Riverbed Flex Subscription offering. Flex Subscription allows IT teams to deploy Riverbed licenses anywhere on the network, including hardware, virtual, or cloud instances, without additional software costs. These new AI-powered network observability solutions mark Riverbed's 3rd major product release this year. 'Our relentless pace of innovation continues to set the standard in our industry and it's only accelerating,' said Dave Donatelli, CEO of Riverbed. 'With today's launch, we're unveiling our next-generation Riverbed xx90 systems, offering dramatically higher performance and efficiency, alongside significant software advancements in network performance monitoring and enterprise-wide observability now packaged and integrated with Riverbed IQ for AI-driven insights. These new solutions respond directly to our customers' priorities: streamlining tool sets, unifying and simplifying network management, and automating for efficiency. And, with the Riverbed Flex offer, customers gain even greater software licensing flexibility, investment protection and cost savings.' The new Riverbed Intelligent Network Observability Essentials bundle is now available with the purchase of either AppResponse packet capture and analysis or NetProfiler enterprise-scale hybrid flow monitoring. Included in the Network Observability Essentials bundle is a comprehensive suite of tools designed to enable proactive and accelerated remediation across complex, hybrid network environments: Riverbed IQ: SaaS-based AI that pinpoints issues and speeds resolution – no extra infrastructure needed. Workspaces: Role-based dashboards that unify packet, flow, and endpoint insights to provide contextual visibility for every team.2 Grafana Plug-In: Seamless integration for organizations using Grafana to visualize Riverbed observability data in their existing dashboards.3 Topology Viewer: Dynamic, map-based visualization that correlates network topology with application and user performance to speed triage. The Essentials Bundle is available with Riverbed Flex, which delivers greater architectural freedom, license portability, value retention, and lower total cost of ownership. With Flex Licensing, customers can: Re-allocate licenses across hardware, virtual, or cloud deployment. Streamline budget planning with predictable OPEX-based pricing. Support future growth and transitions without needing to re-purchase software. This licensing approach enables IT teams to align network observability investments with evolving business needs, whether optimizing for resilience, performance, or AI-driven automation. Built to Scale: Performance Without Bottlenecks Riverbed's new xx90 appliance family are purpose-built to support the scale, speed, and precision required in today's distributed enterprise networks. Whether deployed for AppResponse, NetProfiler, or Flow Gateway, the xx90 family delivers high-throughput performance for both packet and flow capture without compromise. As part of the recent update, AppResponse 11.21 enables real-time triage of encrypted IPSec ESP tunnel traffic and cipher hygiene, even across globally distributed environments. AppResponse 11.21 on xx90 systems offers sustained packet capture over 50 Gbps, concurrent packet capture and analysis, and scalable modular storage exceeding 2.4 PB. For flow-based monitoring and analytics, the same xx90 system powers the new 10.29 version of NetProfiler and Flow Gateway, delivering unmatched flow visibility and analysis at scale. With 3x faster reporting and analysis and 2x faster throughput, the new software also includes dynamic Flow Load Balancing and full support for Versa SD-WAN. Together, these high-performance appliances boost performance for collecting the full-fidelity network data that serve as the backbone of Riverbed's Intelligent Network Observability, enabling smarter, faster, and more scalable network operations across corporate networks. About Riverbed Riverbed, the leader in AIOps for observability, helps organizations optimize their user's experiences by leveraging AI automation for the prevention, identification, and resolution of IT issues. With over 20 years of experience in data collection and AI and machine learning, Riverbed's open and AI-powered observability platform and solutions optimize digital experiences and greatly improves IT efficiency. Riverbed also offers industry-leading Acceleration solutions that provide fast, agile, secure acceleration of any app, over any network, to users anywhere. Together with our thousands of market-leading customers globally – including 95% of the FORTUNE 100 – we are empowering next-generation digital experiences. Learn more at
Al Bawaba
3 days ago
- Business
- Al Bawaba
Riverbed Launches New AI-Driven Intelligent Network Observability Solutions Providing Automated Insights, Higher Performance, and Greater Value
Driven by a new era of compounding data and applications growth, Riverbed, the leader in AIOps for observability, today announced the launch of its new AI-powered intelligent network observability solutions, significantly enhancing network visibility for enterprise IT teams and enabling them to proactively identify and resolve problems in real-time before they escalate into business challenges.1 The new solutions will deliver even greater value for the Riverbed Platform, and build on strong market momentum –with Riverbed observability bookings growth of 92% year-over-year (YoY) in the first half of 2025. With this launch, Riverbed is ushering in a new era of intelligent network observability, shaped by the realities of increasing enterprise complexity and grounded in the emerging requirements of a seamless digital experience. Supporting surging network traffic demands, Riverbed's launch includes the rollout of the new Riverbed xx90 appliance series for its AppResponse, NetProfiler, and Flow Gateway network observability offerings, delivering up to 3x the performance of the previous generation systems at the same price. For organizations seeking to maximize their technology investments while optimizing cost-savings, customers can now consume these new intelligent network observability solutions through the Riverbed Flex Subscription offering. Flex Subscription allows IT teams to deploy Riverbed licenses anywhere on the network, including hardware, virtual, or cloud instances, without additional software costs. These new AI-powered network observability solutions mark Riverbed's 3rd major product release this year.'Our relentless pace of innovation continues to set the standard in our industry—and it's only accelerating,' said Dave Donatelli, CEO of Riverbed. 'With today's launch, we're unveiling our next-generation Riverbed xx90 systems, offering dramatically higher performance and efficiency, alongside significant software advancements in network performance monitoring and enterprise-wide observability—now packaged and integrated with Riverbed IQ for AI-driven insights. These new solutions respond directly to our customers' priorities: streamlining tool sets, unifying and simplifying network management, and automating for efficiency. And, with the Riverbed Flex offer, customers gain even greater software licensing flexibility, investment protection and cost savings.'The new Riverbed Intelligent Network Observability Essentials bundle is now available with the purchase of either AppResponse packet capture and analysis or NetProfiler enterprise-scale hybrid flow monitoring. Included in the Network Observability Essentials bundle is a comprehensive suite of tools designed to enable proactive and accelerated remediation across complex, hybrid network environments: • Riverbed IQ: SaaS-based AI that pinpoints issues and speeds resolution – no extra infrastructure needed.• Workspaces: Role-based dashboards that unify packet, flow, and endpoint insights to provide contextual visibility for every team.2• Grafana Plug-In: Seamless integration for organizations using Grafana to visualize Riverbed observability data in their existing dashboards.3· Topology Viewer: Dynamic, map-based visualization that correlates network topology with application and user performance to speed Essentials Bundle is available with Riverbed Flex, which delivers greater architectural freedom, license portability, value retention, and lower total cost of ownership. With Flex Licensing, customers can:• Re-allocate licenses across hardware, virtual, or cloud deployment.• Streamline budget planning with predictable OPEX-based pricing. • Support future growth and transitions without needing to re-purchase software. This licensing approach enables IT teams to align network observability investments with evolving business needs, whether optimizing for resilience, performance, or AI-driven to Scale: Performance Without BottlenecksRiverbed's new xx90 appliance family are purpose-built to support the scale, speed, and precision required in today's distributed enterprise networks. Whether deployed for AppResponse, NetProfiler, or Flow Gateway, the xx90 family delivers high-throughput performance for both packet and flow capture without part of the recent update, AppResponse 11.21 enables real-time triage of encrypted IPSec ESP tunnel traffic and cipher hygiene, even across globally distributed environments. AppResponse 11.21 on xx90 systems offers sustained packet capture over 50 Gbps, concurrent packet capture and analysis, and scalable modular storage exceeding 2.4 flow-based monitoring and analytics, the same xx90 system powers the new 10.29 version of NetProfiler and Flow Gateway, delivering unmatched flow visibility and analysis at scale. With 3x faster reporting and analysis and 2x faster throughput, the new software also includes dynamic Flow Load Balancing and full support for Versa SD-WAN. Together, these high-performance appliances boost performance for collecting the full-fidelity network data that serve as the backbone of Riverbed's Intelligent Network Observability, enabling smarter, faster, and more scalable network operations across corporate networks. © 2000 - 2025 Al Bawaba (
