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We also introduced our demo app and explained how to define the metrics and traces it uses. The second part, The road to observability with OpenTelemetry part 2: Setting up OpenTelemetry and instrumenting applications , covers the details of how to set up OpenTelemetry in our demo application and how to instrument the services.
It provides an easy way to select, integrate, and customize foundation models with enterprise data using techniques like retrieval-augmented generation (RAG), fine-tuning, or continued pre-training.
AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. AWS Cognito, for example, is billed as an always up-to-date authentication service that complies with rigorous industry standards. Connecting IoT devices (for example, AWS IoT Device Management ).
Ensure expected production behavior One Dynatrace team is responsible for the demo applications we use to demonstrate Dynatrace capabilities. We use monitored demo applications to deliver constant load and a defined set of business transactions.
This release is just the latest addition to advanced observability for cloud-native technologies offered by the Dynatrace Software Intelligence Platform, which provides the fastest and easiest approach to end-to-end monitoring and tracing of web applications on serverless technologies like Azure Functions, Azure App Service, or AWS Lambda.
Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Log analysis can reveal potential bottlenecks and inefficient configurations so teams can fine-tune system performance. billion in 2020 to $4.1 Optimized system performance.
This release is just the latest addition to advanced observability for cloud-native technologies offered by the Dynatrace Software Intelligence Platform, which provides the fastest and easiest approach to end-to-end monitoring and tracing of web applications on serverless technologies like Azure Functions, Azure App Service, or AWS Lambda.
The goal of DynamoDB is simple: to provide the same level of scalability and availability as the original Dynamo, while freeing developers from the burden of operating distributed datastores (such as cluster setup, software upgrades, hardware lifecycle management, performance tuning, security upgrades, operations, etc.)
The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. This includes providing the efficient, resilient services AWS customers expect, while minimizing their environmental footprint.
Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises?
AWS Cloud 9 AWS Cloud 9 is ideal for developing PHP applications completely in the cloud. Check out the demo version of PHPDocumentor 2 to see the selection of new and improved PHP templates. It supports many popular PHP web frameworks and CMS solutions including WordPress, Drupal, Magento and Joomla.
Both Xen and KVM have had many performance and security improvements, and workloads can now be tuned to run at almost bare metal speeds (say, a 3% loss or less). If that seems wildly unacceptable, note that you can tune overcommit on Linux to not do this, and behave more like Solaris (see sysctl vm.overcommit_memory).
Last week, I wrote a blog about helping the machine learning scientist community select the right deep learning framework from among many we support on AWS such as MxNet, TensorFlow, Caffe, etc. Developers can build, test, and deploy chatbots directly from the AWS Management Console.
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