Dynatrace

JUNE 27, 2023

The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services. Dynatrace Log Management and Analytics powered by Grail enables you to get answers from logs with any query at any time.

AWS 246

AWS Cloud Lambda Analytics 246

Dynatrace

APRIL 22, 2022

“Dynatrace is enterprise-ready, including automated deployment and support for the latest cloud-native architectures with role-based governance,” Nalezi?ski To reduce the manual effort of account reconciliation and running the scripts, they converted the Python scripts to Lambda functions. ski explains.

Cloud 242

Cloud Lambda Serverless AWS 242

Dynatrace

OCTOBER 17, 2023

Embracing cloud-native services such as AWS Lambda and EKS became integral to their business strategy and core to its new operating model. At this time, the company decided to activate Dynatrace Application Security for runtime application security protection and analytics.

Energy 246

Energy Artificial Intelligence AWS Lambda 246

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Simplify error analytics. Understand and optimize your architecture. Dynatrace news.

Serverless 246

Serverless Azure Monitoring Lambda 246

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. Fully conceptualizing capacity requirements. through our AWS integrations and monitoring support.

AWS 221

AWS Artificial Intelligence Best Practices Lambda 221

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Simplify error analytics. Understand and optimize your architecture. Dynatrace news.

Serverless 217

Serverless Azure Monitoring Lambda 217

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? How Azure Functions works.

Azure 204

Azure Serverless IoT Lambda 204

Adrian Cockcroft

MAY 6, 2023

Then they tried to scale it to cope with high traffic and discovered that some of the state transitions in their step functions were too frequent, and they had some overly chatty calls between AWS lambda functions and S3. A real-time user experience analytics engine for live video, that looked at all users rather than a subsample.

Serverless 145

Serverless Lambda Best Practices Traffic 145

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. Lambda and DynamoDB take care of the rest. Let me expand on each one of them.

Database 156

Database Lambda AWS IoT 156

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. MaaSS for Cloud Architects: Deployment and Architecture Validations. Validate correct architecture, configuration and deployment by looking at Service Flow! Dynatrace monitors AWS specific services such as Load Balancers, RDS, DynamoDB, Lambda, EFS, … through the CloudWatch API.

AWS 170

AWS Monitoring Ecommerce Lambda 170

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. Transformation in Compute.

AWS 134

AWS Development Lambda Open Source 134

The Netflix TechBlog

JULY 30, 2019

Dynamic Workflow Executions For use cases where the need arises to execute a large/arbitrary number of varying workflow definitions or to run a one-time ad hoc workflow for testing or analytical purposes, registering definitions first with the metadata store in order to then execute them only once, adds a lot of additional overhead.

Lambda 191

Lambda Open Source Media Metrics 191

Highly Scalable

AUGUST 20, 2013

The whole point of this section is that all the algorithms above can be naturally implemented using a message passing architectural style i.e. the query execution engine can be considered as a distributed network of nodes connected by the messaging queues. Marz, “Big Data Lambda Architecture”. Jacobsen and R.

Big Data 154

Big Data Processing Lambda Database 154

The Netflix TechBlog

MAY 21, 2019

We needed a way to run agents and tie the runs to the internal infrastructure for analytics, reporting, and visualizations. To maintain the quality of Lerner APIs, we are using the server-less paradigm for Lerner’s own integration testing by utilizing AWS Lambda. Experiment with different neural network architectures.

Testing 164

Testing AWS Lambda Network 164

O'Reilly

MAY 19, 2020

These services are also designed to function as gateway drugs to cloud services: e.g., Microsoft integrates its on- and off-premises Excel client experience with its PowerBI cloud analytics service, as well as with its ecosystem of Azure-based advanced analytics and machine learning (ML) services. Serverless Stagnant.

Cloud 144

Cloud Serverless AWS DevOps 144

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

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., At a high level Gandalf looks like this: It ingests performance data, failure signals, and component update events and passes them through both fast and slow paths (a lambda architecture). NSDI’20.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

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. Unfortunately, other than cost advantage Wordpress and Drupal have similar deficiencies i.e. legacy monolith architecture.

Systems 63

Systems Cache Website Network 63

Adrian Cockcroft

NOVEMBER 18, 2024

Learn from Nasdaq, whose AI-powered environmental, social, and governance (ESG) platform uses Amazon Bedrock and AWS Lambda. From AWS architectures to web applications to AI workloads, explore the impact of shifting responsibilities when moving along the spectrum of self-managed and managed.

AWS 98

AWS Energy Lambda Government 98