In today’s fast-paced and digitally-driven world, businesses are increasingly relying on advanced technologies to stay competitive and fuel growth. Observability solutions with integrated generative-AI assistants have emerged as a game-changer, empowering engineers and businesses alike to achieve optimal performance and drive success. We had the privilege of sitting down with Peter Marelas, Chief Architect for the APJ region at New Relic, a leading technology company known for its innovative observability solutions. During the insightful discussion, Peter shared valuable perspectives on why Indian organizations need generative AI-powered observability, how these solutions facilitate business growth, the significance of unified end-to-end observability, and New Relic‘s role in this exciting AI space. Let’s delve into the details and uncover the potential of generative AI-powered observability to transform businesses and enhance software development practices.
What are the unique challenges faced by Indian organisations that make generative AI-powered observability solutions crucial for them?
Every digital business in India shares the common imperatives of driving growth and efficiency. They face pressing questions around accelerating time-to-market, boosting processes, reducing churn, and maximising ROI on technology.
Observability platforms with integrated generative AI assistants are crucial for Indian organisations to address these challenges head-on. Integrated AI assistants democratise access to observability by making it accessible to roles across the business so everyone can embrace the power of observability and make sense of their data. By sifting through streams of observability data and generating actionable insights, these assistants provide targeted guidance to users while eliminating guesswork.
More broadly, New Relic’s unified observability platform helps to knock down organisational legacy and data silos. It delivers complete visibility, so teams build a shared understanding of systems and experiences. With powerful predictive analytics capabilities, companies can detect and resolve issues proactively before they ever impact customers.
By combining the strengths of generative-AI and end-to-end observability, New Relic gives Indian digital businesses a powerful solution to accelerate outcomes, delight customers, and drive growth. The future of observability is AI-powered–and enterprises in India will be poised to take the lead.
Can you provide an overview of the specific offerings or products that New Relic provides in the space of generative AI-powered observability solutions?
New Relic delivers a robust set of AI-powered observability capabilities. Our AIOps solution automatically detects anomalies and analyses their root cause and system impacts. This enables engineers to rapidly prioritise and resolve issues.
New Relic’s anomaly detection capabilities also extend to the developers IDE. Our platform provides real-time visibility into application anomalies directly within developer IDEs through our CodeStream plugin. By surfacing insights in the developers workflow, we eliminate the need to toggle between tools, greatly enhancing productivity.
New Relic Grok, the first generative AI assistant for observability, enables engineers to use natural language to configure monitoring, analyse data and ask questions. This dramatically boosts productivity and onboarding.
For teams deploying AI workloads, New Relic includes integrations that instrument OpenAI applications to monitor prompts, responses, detect problems, and uncover optimisation opportunities.
With these AI-powered observability capabilities, New Relic delivers the next generation of intelligence for engineering teams to iteratively build, deploy, and scale more reliable and performant systems. We empower users to harness data and AI for better insights and accelerated outcomes.
What sets New Relic’s generative AI-powered observability solutions apart from other offerings in the market?
New Relic Grok represents a major innovation in observability by being the first solution to leverage generative AI. With New Relic Grok, customers can perform actions and analyse data using natural language instructions. For example, instead of needing complex UI workflows, engineers can configure alerts, dashboards, and other functionality simply by describing what they want in plain language.
Even more powerful is New Relic Grok’s ability to interpret observability data. Rather than relying solely on engineers to manually deduce insights, the integrated assistant enables users to ask questions and receive written summaries of key patterns, metrics, and visualisations. This significantly reduces the skills and time required to extract value from observability data.
By combining instruction following and natural language data analysis, New Relic Grok and its generative AI capabilities promise to transform how teams leverage observability.
Are there any unique features or advantages that customers can expect when using New Relic’s solutions?
Rapid digitalization puts engineers under pressure to deliver highly functional and robust software. Such innovation requires development teams to consistently work at high velocity so they develop, test, and deploy new apps quickly.
This level of innovation necessitates greater visibility at every stage of the software development life cycle. Engineers often face challenges due to silos and the interpretation of data generated by numerous tools. When something goes awry during the development process, engineers are forced to spend valuable time troubleshooting while trying to reconcile data from disparate tools.
As a unified observability platform, New Relic helps businesses eliminate these silos. It helps improve productivity with insights of system health so engineers aren’t bogged down while troubleshooting. Our AIOps functionality learns with every issue and offers insights on past errors and what to avoid. It identifies issues quickly and proactively, dramatically improving the software development process. The payoff is significant too. The average team productivity of businesses using all-in-one observability solutions increased by 43%, which translated into an average annual savings of $1.3M USD for each organisation.
Can you share any examples or case studies where these solutions have contributed to the growth of businesses?
New Relic has enabled impressive growth for companies across India. For example, India’s largest e-grocery platform bigbasket relies on New Relic to optimise operations and drive better business outcomes. With end-to-end visibility from New Relic, bigbasket identified and fixed performance bottlenecks from slow APIs and database queries, slashed infrastructure costs by 35%, improved mean-time-to-recovery by 70-80%, and achieved 20% month-on-month growth.
Another success story comes from Open Financial Technologies, Asia’s first neo-banking platform. Using New Relic, Open cut errors by 90 percent, and reduced mean time to repair by 97% for high-urgency incidents.
These examples demonstrate how New Relic equips companies to find efficiencies, resolve issues quickly, and rapidly deliver innovations that underpin growth. With unified observability, teams can optimise existing systems while rapidly building and scaling new capabilities to drive the business forward.
How does a unified end-to-end observability solution enhance the effectiveness of generative AI deployments?
A unified all-in-one observability platform–such as New Relic–enhances the effectiveness of generative-AI deployments by providing complete visibility into the AI systems and software. This eliminates data silos to create a shared understanding amongst engineering teams, leverages AI to quickly analyse telemetry data and identify issues, improves developer productivity to enable faster delivery of AI capabilities, and allows engineers to more easily configure monitoring and gain insights through our generative-AI powered observability assistant.
With all-in-one observability, teams can rapidly deliver reliable generative AI-powered solutions in production while ensuring the systems continue to perform as expected.
