LLM-powered observability and your AI ecosystem Integration roundup: Monitoring your AI stackĪs AI development accelerates across industries, Datadog is at the forefront of helping you gain visibility into every layer of your AI-optimized tech stack, from infrastructure and data storage to models and service chains. In this post, we recap these new offerings-as well as all the other key announcements from DASH 2023-and help you get started using them to gain deeper visibility into your environment. We also expanded our developer-focused features by adding static code analysis and end-to-end mobile monitoring. We introduced new products that help you secure your cloud infrastructure, find vulnerabilities in your application code, and conduct historical security investigations. And Bits AI, our new DevOps copilot, helps speed up the detection and resolution of issues across your environment. With Datadog’s new AI integrations, you can easily monitor every layer of your AI stack. This year at DASH, we announced new products and features that enable your teams to get complete visibility into their AI ecosystem, utilize LLM for efficient troubleshooting, take full control of petabytes of observability data, optimize cloud costs, and more. Alert on Database Monitoring query samples and explain plans.Automatically correlate database query metrics and request traces.Network Topology Map for port-to-port device connectivity.Jumpstart network investigations with an updated story-centric UX for NPM.Serverless Monitoring for AWS Step Functions. Visualize container metrics from OpenTelemetry Collector.Understand and optimize your cloud resources and costs.Historical security investigations with Cloud SIEM Investigator.Application Security Management - API Security.Mitigate vulnerabilities with Datadog Infrastructure Vulnerability Management.Protect against IAM-based attacks with Datadog CIEM.Define teams using identity providers data and control their access to individual resources within Datadog.Enhanced visibility into service-to-service connections and inferred services.Reproduce exceptions with production variable snapshots in APM.Understand the business impact of backend errors with Trace Queries.Set up APM in minutes with Single-Step Instrumentation.Add context to your logs at query time with Reference Tables.15-min unsampled Live Search for Log Management.Bits AI: Datadog’s generative AI interface.Integration roundup: Monitoring your AI stack.LLM-powered observability and your AI ecosystem.7.DASH 2023: Guide to Datadog's newest announcements Therefore, if we write a lot of scripts, shellcheck should be in our toolbox because it enforces us to use best practices, eventually making us better at writing shell scripts. Sometimes, shellcheck will detect very subtle errors that we might not even notice. Since we’ve fixed the error, we don’t have any warnings. Let’s fix these errors and run shellcheck again. In Line 6, we’re starting a double quote, but the tool points out that it might be the ending quote for “Hello. In this case, we left the ending quote for the greeting variable. Fix to allow more checks.Īfter running shellcheck, we can see that it prints a lot of useful information. ^- SC1073 (error): Couldn't parse this double quoted string. ^- SC1079 (info): This is actually an end quote, but due to next char it looks suspect. ^- SC1078 (warning): Did you forget to close this double quoted string? ^- SC1009 (info): The mentioned syntax error was in this simple command. Command Substitution Inside Double Quotes On the other hand, the other two use-cases will yield the output in a list context – each word in the list is a field separated by whitespace.įor instance, if we process the positional arguments with “ ”, it will yield the arguments as a list, and so on, up to #!/bin/shĭone $ sh script.sh /etc/fstab /etc/hostnameġ /etc/hostname 2.2. home/user/Documents/Reference Manual.pdf Therefore, any amount of whitespaces and other special characters (?, [, \) inside the string will be a part of the string: #!/bin/sh In our case, we’re interested in the string context – the double quotes around the variable yields a single string. Treat each whitespace-separated field as a glob that can be expanded by the shell.Split the string into fields using whitespaces as the delimiter.Take the value of the HOME variable as a whole.
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