Dynatrace

NOVEMBER 22, 2021

AWS Lambda. Lambda is Amazon’s event-driven, functions-as-a-service (FaaS) compute service that runs code when triggered for application and back-end services. AWS Lambda makes it easy to design, run, and maintain application systems without having to provision or manage infrastructure. Amazon CloudWatch.

Best Practices 208

Best Practices AWS Monitoring Serverless 208

Dynatrace

APRIL 22, 2022

At Dynatrace Perform 2022 , Technology Services Manager Thomas Janik and AWS Monitoring SME Matt Gault, both from American Family, explain how they boosted their cloud operations to increase resilience. Additionally, PurePath provides distributed tracing with code-level detail at scale with contextual data.

Cloud 166

Cloud Lambda Serverless AWS 166

Dynatrace

NOVEMBER 22, 2021

When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Common use-cases for AWS Lambda in the enterprise (and how to get observability for them. What are the typical use cases for AWS Lambda? What are the challenges related to operating Lambda functions? What is AWS Lambda?

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

AUGUST 21, 2023

Based on the W3C open standard Trace Context , OpenTelemetry standardizes telemetry data from multiple sources, so organizations have the capacity to deeply analyze software behavior and performance. Finally, the enriched observability data increases the overall volume of the data, which can affect application performance. “In

Open Source 192

Open Source Analytics Lambda Metrics 192

Dynatrace

AUGUST 12, 2020

This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Simplify error analytics. Code-level visibility continues to be supported for.NET-based functions running in an App Service plan.

Serverless 234

Serverless Azure Monitoring Lambda 234

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

DECEMBER 2, 2021

Impact : This issue affects only those extensions that use native libraries called from Python code distributed with the extension. New analytics view for message queues. Disabled extension preview on big tenants (over 1,000 PROCESS_GROUPS) to avoid performance issues. (APM-333310). Sometimes the Python virtual machine crashes.

Lambda 190

Lambda Azure Metrics Monitoring 190

Dynatrace

NOVEMBER 27, 2020

Our metric exporters allow for ingestion of OpenTelemetry-instrumented custom metrics into the Dynatrace open analytics and AI platform, giving you precise and actionable analytics across the entire software life cycle. Gathering performance metrics like memory usage from systems where an agent can’t be installed.

Metrics 139

Metrics Open Source Lambda Serverless 139

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. Dynatrace news. What is Azure Functions? The growth of Azure cloud computing.

Azure 136

Azure Serverless IoT Lambda 136

Dynatrace

AUGUST 12, 2020

This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Simplify error analytics. Code-level visibility continues to be supported for.NET-based functions running in an App Service plan.

Serverless 140

Serverless Azure Monitoring Lambda 140

Dynatrace

NOVEMBER 24, 2020

Dynatrace provides advanced observability across on-premises systems and cloud providers in a single platform, providing application performance monitoring, infrastructure monitoring, Artificial Intelligence-driven operations (AIOps), code-level execution, digital experience monitoring (DEM), and digital business analytics.

AWS 143

AWS Artificial Intelligence Best Practices Lambda 143

Dynatrace

SEPTEMBER 17, 2019

End-to-end code-level tracing. Cluster and container Log Analytics. Dynatrace’s PurePath technology brings us automatic end-to-end code level tracing without having to modify any code or configuration. MaaS for Developers: Understand and optimize your code. 2: Distributed code optimization.

AWS 127

AWS Monitoring Ecommerce Lambda 127

All Things Distributed

DECEMBER 1, 2016

I was joined by 32,000 James Bonds at the conference today from all around the world, and we introduced new services focused on accelerating this transformation across development, testing and operations, data and analytics, and computation itself. We also added C# support for AWS Lambda. Step through functions at scale.

AWS 162

AWS Development Lambda Open Source 162

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. Let me expand on each one of them. DynamoDB Streams.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167

Database AWS Games Latency 167

All Things Distributed

DECEMBER 13, 2016

GoSquared provides various analytics services that web and mobile companies can use to understand their customers' behaviors. Real-time monitoring and evaluation of events have led to a positive impact on performance or operations. Channel 4 (in the UK) chose AWS to help monetize volumes of platform data.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

The Netflix TechBlog

MAY 21, 2019

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. Detect a regression in a test case. It can be used in Python notebooks ?—?allowing

Testing 163

Testing AWS Lambda Network 163

All Things Distributed

OCTOBER 7, 2015

Customers also use a variety of different tools, including Amazon EMR for Hadoop, Amazon Machine Learning, AWS Data Pipeline, and AWS Lambda to process and analyze their data. SPICE enables QuickSight to scale to many terabytes of analytical data and deliver response time for most visualization queries in milliseconds.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

NOVEMBER 30, 2016

Developers can simply specify a few sample phrases and the information required to complete a user's task, and Lex builds the deep learning based intent model, guides the conversation, and executes the business logic using AWS Lambda. Developers can build, test, and deploy chatbots directly from the AWS Management Console.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

Highly Scalable

AUGUST 20, 2013

High performance and mobility. The system should deliver performance of tens of thousands messages per second even on clusters of minimal size. Query processing could consist of multiple steps and each step could require its own partitioning strategy, so data shuffling is an operation frequently performed by distributed databases.

Big Data 154

Big Data Processing Lambda Database 154

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. An SSG offers a middle ground between a complex yet modular CMS solution and a simple yet involved hand-coded HTML site.

Systems 63

Systems Cache Website Network 63