Dynatrace

NOVEMBER 27, 2020

Welcome back to the second part of our blog series on how easy it is to get enterprise-grade observability at scale in Dynatrace for your OpenTelemetry custom metrics. In Part 1 , we announced our new OpenTelemetry custom-metric exporters that provide the broadest language coverage on the market, including Go , .NET record(value); }.

Metrics 143

Metrics Open Source Lambda Serverless 143

Dynatrace

APRIL 7, 2023

What is a Lambda serverless function? Despite being serverless, the function still requires infrastructure on which to run. Dynatrace provides AWS Lambda metrics monitoring in under five minutes, showing the function CPU, memory, and network health metrics all the way through to the process level. How does Dynatrace help?

Lambda 224

Lambda AWS Serverless Latency 224

Dynatrace

OCTOBER 8, 2020

By leveraging the AWS Lambda Extensions API , Dynatrace brings the unique value of its Davis AI-engine for fully automatic root cause analysis to AWS Lambda. This means, you don’t need to change even a single line of code in the serverless functions themselves. Serverless functions and services are highly dynamic and ephemeral.

Lambda 304

Lambda AWS Programming Serverless 304

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

Lambda 232

Lambda AWS Serverless Latency 232

Dynatrace

APRIL 6, 2022

AWS Lambda is one of the most popular serverless compute services in the market. Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Insights into how serverless functions impact user experience.

Lambda 173

Lambda AWS Serverless Infrastructure 173

Dynatrace

NOVEMBER 22, 2021

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. AWS provides a suite of technologies and serverless tools for running modern applications in the cloud. And why it matters. AWS: A service for everything.

Best Practices 220

Best Practices AWS Monitoring Serverless 220

Dynatrace

NOVEMBER 29, 2021

When you add the Dynatrace extension to your Lambda functions, Dynatrace begins ingesting their metrics, logs, and traces, which you can monitor and correlate with data from the rest of your stack. In addition to the built-in views, Dynatrace provides data analysis tools that greatly enhance your abilities to query and chart metrics.

Lambda 222

Lambda AWS Serverless Metrics 222

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Organizations are realizing the cost savings and management benefits of serverless automation. The benefits of serverless Lambda functions.

Lambda 186

Lambda AWS Serverless Hardware 186

Dynatrace

APRIL 6, 2022

AWS Lambda is one of the most popular serverless compute services in the market. Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Insights into how serverless functions impact user experience.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

DECEMBER 20, 2022

This Provider Lens research analyzes trends and challenges associated with cloud-native observability and assesses capabilities surrounding observability for technologies such as Kubernetes and serverless. Observability is often thought of as analyzing a system’s current state using a combination of logs, metrics, and traces.

Cloud 130

Cloud Serverless Open Source Analytics 130

Dynatrace

JULY 29, 2021

The result is that IT teams must often contend with metrics, logs, and traces that aren’t relevant to organizational business objectives—their challenge is to translate such unstructured data into actionable business insights. Extend your topology mapping to include open-source observability data.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

SEPTEMBER 23, 2021

The operations team looks at the analysis provided by Davis and digs into the details of an impacted user action at the front end. What about OpenTelemetry metrics captured with the AWS Distro ? Ingest OpenTelemetry metrics. Davis automatically alerts the operations team. Get started today. Ingest OpenTelemetry trace data .

AWS 231

AWS Lambda Serverless Metrics 231

Dynatrace

NOVEMBER 18, 2021

Log entries related to individual transactions can be spread across multiple microservices or serverless workloads. Manual and configuration-heavy approaches to putting telemetry data into context and connecting metrics, traces, and logs simply don’t scale. The example below includes analysis of a payment issue.

Analytics 231

Analytics Cloud Java Serverless 231

All Things Distributed

JUNE 10, 2016

I see a tremendous interest in examples how to build such applications, and articles such as " The Serverless Start-Up - Down With Servers! If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. about teletext.io

Lambda 107

Lambda Serverless AWS Architecture 107

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Google Cloud Functions is a serverless compute service for creating and launching microservices. What is Google Cloud Functions?

Google 229

Google Cloud Serverless Azure 229

All Things Distributed

MAY 10, 2016

I see a tremendous interest in examples how to build such applications, and articles such as " The Serverless Start-Up - Down With Servers! If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. about teletext.io

Lambda 105

Lambda Serverless AWS Architecture 105

Dynatrace

NOVEMBER 22, 2021

When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Not just logs, metrics and traces. Dynatrace news.

AWS 235

AWS Lambda Artificial Intelligence Serverless 235

Dynatrace

APRIL 22, 2022

When American Family Insurance took the multicloud plunge, they turned to Dynatrace to automate Amazon Web Services (AWS) event ingestion, instrument compute and serverless cloud technologies, and create a single workflow for unified event management. Step 1: Automate AWS metrics ingestion with Dynatrace. 01 for every 1,000 metrics.

Cloud 175

Cloud Lambda Serverless AWS 175

Dynatrace

NOVEMBER 10, 2021

Conventional approaches to application security can’t keep pace with cloud-native environments that rely on agile methodologies, API-driven architectures, microservices, containers, and serverless functions. This allows releases to remain secure by default.

Serverless 221

Serverless DevOps Cloud Metrics 221

Dynatrace

JANUARY 11, 2023

Cloud monitoring tools unify data from applications and dependent resources across distributed channels to achieve the following: better detect anomalies; perform root-cause analysis; and. These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards.

Cloud 230

Cloud Monitoring Best Practices Infrastructure 230

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. The Site Reliability Guardian also helps keep your production environment safe and secure through automated change impact analysis.

AWS 256

AWS Efficiency Azure Cloud 256

Dynatrace

NOVEMBER 20, 2020

That embedded intelligence layer is what cuts through cloud complexity to automatically pinpoint an anomaly in a serverless app, Kubernetes pod, or cloud instance, and provides answers that are accurate and reliable enough to trigger auto-remediation procedures before users are affected. A new wave of innovation for AIOps.

Artificial Intelligence 258

Artificial Intelligence Serverless Analytics Innovation 258

Dynatrace

OCTOBER 17, 2022

However, as organizations adopt more cloud-native technologies, such as containerized microservices and serverless platforms, operations have become exponentially more complex. This second solution picks up at data collection, aggregation, and analysis, preparing it for execution. The deviating metric is response time.

DevOps 205

DevOps Artificial Intelligence Healthcare Innovation 205

Dynatrace

NOVEMBER 17, 2020

Every tap in a mobile app triggers requests that, potentially, travel through a myriad of microservices, routed from one service to the next by service meshes, calling several serverless functions. Automatic topology analysis. In addition, the teams building and running applications are working with different technologies in parallel.

Analytics 161

Analytics Technology Technology Cloud 161

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope.

Artificial Intelligence 186

Artificial Intelligence Metrics Architecture DevOps 186

Dynatrace

JULY 7, 2022

Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. Serverless platforms. Monitoring and alerting tools and protocols help simplify observability for all custom metrics. API gateways.

Architecture 209

Architecture Serverless Azure Programming 209

Dynatrace

FEBRUARY 15, 2023

Consider a simple interactive app that helps convey the business impact of new product enhancements by combining IT Ops metrics with business data—or an app that not only calculates the costs of your cloud usage but also automatically optimizes it by leveraging the power of Davis , our causational AI, and the new Dynatrace AutomationEngine.

Government 171

Government Serverless Analytics Metrics 171

Dynatrace

DECEMBER 9, 2020

Dynatrace is fully committed to the OpenTelemetry community and to the seamless integration of OpenTelemetry data , including ingestion of custom metrics , into the Dynatrace open analytics platform. Use topological details related to the service at hand to drill down to the process or host running the service for root cause analysis.

Java 242

Java Traffic Strategy Architecture 242

Dynatrace

APRIL 21, 2022

Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. Getting precise root cause analysis when dealing with several layers of virtualization in a containerized world. Understanding resource utilization for cost management.

Azure 197

Azure Monitoring Virtualization Metrics 197

Dynatrace

NOVEMBER 9, 2021

And for observability to be successful, it requires much more than just logs, metrics, and traces. We start with metrics, traces, and logs (that’s table stakes) but also provide context and enrichment through topology, behavior, code, metadata, and network, combined with data from application programming interfaces (API) and OpenTelemetry.

DevOps 226

DevOps Innovation Cloud Programming 226

Dynatrace

MAY 9, 2022

But we often need a spreadsheet or report for analysis. That’s why customers use Dynatrace’s application programming interface (API) to automate monitoring tasks and export different data types into a third-party reporting and analysis tool. Visualization is great for day-to-day activities.

Strategy 208

Strategy Cloud Infrastructure Java 208

Dynatrace

NOVEMBER 10, 2020

As a developer, you might use Google Cloud Function for serverless components. Complete observability with Dynatrace provides you with all the metrics from all your Cloud Functions and services across your GCP projects and displays them on dashboard charts. AI-powered root cause analysis and contextual information for even faster MTTR.

Google 229

Google Cloud Serverless Innovation 229

Dynatrace

APRIL 20, 2022

We wanted to expand and provide business process metrics (# of total orders per restaurant, orders canceled ratios, time per order, ingredients in or out of stock …) to quickly react to any issues and also get automatically alerted on anomalies. To do that our developers use frameworks such as Micrometer to expose their own metrics (e.g.:

Metrics 209

Metrics Mobile Internet Internet 209

Dynatrace

NOVEMBER 2, 2020

Contextual information: Go beyond metrics, logs, and traces with UX and topology data to understand billions of interdependencies. Root-cause analysis: Get actionable answers to problems in real-time, down to the code level. It’s not hype, it’s the way forward.

Infrastructure 209

Infrastructure Monitoring Virtualization Serverless 209

Dynatrace

JANUARY 12, 2021

It’s powered by vast amounts of collected telemetry data such as metrics, logs, events, and distributed traces to measure the health of application performance and behavior. Observability brings multicloud environments to heel. Observability is the new standard of visibility and monitoring for cloud-native architectures.

Monitoring 201

Monitoring Artificial Intelligence DevOps Serverless 201

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions.

Artificial Intelligence 238

Artificial Intelligence Monitoring Infrastructure Cloud 238

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. There is an external-facing API layer (Optimus), a rule-based video quality workflow layer (Plato) and a serverless compute layer (Stratum). All three requested quality metrics will be calculated for each chunk. 4c & 5.

Media 171

Media Innovation Metrics Latency 171