New Relic Grok Makes Observability Easier with AI Patterns

New Relic Grok is a game-changer for observability. It uses AI patterns to make sense of complex data and provide actionable insights.

With Grok, you can analyze your entire application, from code to user experience, in a single view. This gives you a complete picture of what's happening in your application.

Grok's AI-powered patterns help you identify issues before they become major problems. It's like having a team of expert observers working for you, 24/7.

By leveraging AI, Grok reduces the need for manual analysis and saves you time and resources. This means you can focus on what matters most - delivering a great user experience.

Pattern Development is a crucial step in creating effective Grok patterns in New Relic. To get started, you can use the built-in Grok patterns associated with the logtype field, which will automatically apply the associated pattern to the log.

You can also create custom Grok patterns using the Manage Parsing UI, if you have the correct permissions. This involves creating a parsing rule, adding a pre-filter to narrow down the logs, and then adding the Grok parse rule itself.

Here are some useful Grok patterns you may frequently need to use:

Built-in Patterns are a time-saver for log parsing. They're a list of pre-defined patterns that can be applied to incoming logs with a logtype field.

If a log has a logtype field, it will be checked against the built-in list of patterns.

New Relic has a built-in list of patterns associated with each logtype. This means you don't have to create custom patterns from scratch.

The Grok Debugger is a handy UI for experimenting with Grok patterns, essentially an IDE for creating production-ready patterns. It allows you to enter your example log content and the patterns you want to match.

Grok Debugger can help you identify if your pattern matches the sample content, and if it does, you'll see the extracted fields. This can save you a lot of time and effort in developing patterns.

A subset of useful Grok patterns you may frequently need to use when working on parse rules includes:

New Relic has launched the world's first generative AI assistant for observability, known as New Relic Grok.

New Relic Grok uses OpenAI's large language models to simplify the observability experience for all engineers, regardless of their previous experience. Engineers can use plain language queries in more than 50 languages to carry out operations like setting up instrumentation, debugging problems, and managing accounts.

With New Relic Grok, engineers can type in their queries in natural language and get answers to help them isolate and fix the issue at hand. The AI assistant can analyze telemetry and context across the entire software stack to suggest underlying causes and resolution steps.

Engineers can ask complex questions, such as "Why is my shopping cart service slow?" or "How did the latest server update impact my app?" and get answers that suggest underlying causes and resolution steps.

New Relic Grok can help with various aspects of using the New Relic observability platform, including setting up instrumentation and monitoring, building reports and dashboards, debugging code-level errors, and managing accounts.

The combination of New Relic's unified database and OpenAI's large language models allows users to extend plain-language questioning into new territory. New Relic Grok can take questions, translate them into queries, run those queries, and return results as charts, tables, forms, reports, and more.

New Relic Grok gets better and more powerful with access to more data, and it can deliver meaningful insights more efficiently and learn faster when that data lives under one roof. The New Relic all-in-one observability platform unifies your data, context, tools, and teams into one integrated experience.

All engineers, from developers to operations, security, product, support, and QA teams, can become pros at observability and fix issues faster, reduce outages, and increase development velocity and innovation using New Relic Grok.

Observability is now as easy as asking New Relic Grok, “What’s wrong with my browser app?” This is made possible by combining OpenAI’s multimodal large language models (LLMs) and the New Relic unified telemetry data platform.

The New Relic all-in-one observability platform unifies your data, context, tools, and teams into one integrated experience, which is essential for GenAI like New Relic Grok to deliver meaningful insights more efficiently and learn faster.

Synthesizing huge volumes of data into clear takeaways isn’t always easy when navigating through a veritable funhouse of dashboards, documentation, runbooks, alerts, anomalies, logs, traces, and more. This is why New Relic Grok will turn mountains of data into actionable insights, instantly.

New Relic Grok gets better and more powerful with access to more data, and it can deliver meaningful insights more efficiently and learn faster when that data lives under one roof. The New Relic unified telemetry data platform is that roof.

The combination of New Relic’s unified database and OpenAI’s large language models (LLMs) allows users to extend this kind of plain-language questioning into new territory. New Relic Grok can actually take questions, translate them into queries, run those queries and then return results as charts, tables, forms, reports and more.

Debugging and Troubleshooting is a breeze with New Relic Grok.

It can automatically pinpoint any code-level errors right inside your IDE using CodeStream and errors inbox.

You can simply ask for root causes and get suggestions on underlying causes and resolution steps.

New Relic Grok can analyze your telemetry and context across your entire software stack to provide these suggestions.

With New Relic Grok, you can even get a suggested fix for code-level errors, which you can apply with the click of a button.

This saves you time and effort, and gets you back to coding in no time.

New Relic Grok can help you identify missing instrumentation and alerts, and close monitoring gaps. This means you can say goodbye to tedious IT chores like manually checking on the effects of a recent deployment.

With New Relic Grok, you can also manage your account, set user access, and handle billing tasks more efficiently. This frees up your time to focus on more important tasks.

New Relic Grok's integration with OpenAI's LLMs allows it to translate human-speak into queries and vice versa, making it easier to query without laboring over the right query syntax. This feature supports 50+ languages, so you can communicate with your team members and executives in their native language.

Large language models, or LLMs, are popping up everywhere. They're being integrated into various products, including those from Salesforce, Microsoft, and New Relic.

New Relic has just joined the party, marking the latest effort from an enterprise technology vendor to integrate LLMs into its product. Many business intelligence solutions, such as Domo, ThoughtSpot, and SiSense, have also started offering generative AI capabilities.

The focus at New Relic is on creating value by pairing the latest LLM models with its own APIs and product capabilities. They're leveraging OpenAI's GPT-4 for its NLP prowess and establishing a feedback loop with their own APIs.

To get the most out of LLMs like New Relic Grok, you need access to a lot of data. The more data you have, the better and more powerful the LLM will be. New Relic's all-in-one observability platform unifies your data, context, tools, and teams into one integrated experience.

This unified database generates insights from 30+ correlated capabilities, allowing New Relic Grok to approach a problem from many angles.