Dynatrace

NOVEMBER 22, 2021

Digital transformation with AWS: Making it real with AIOps. When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Although the benefits of serverless computing are clear, gaining visibility into multicloud environments at scale is challenging. Observability with AWS and beyond.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

SEPTEMBER 23, 2021

AWS Distro for OpenTelemetry provides an easy way to obtain telemetry data for monitoring critical business applications that run on AWS. Here are the key advantages of using Dynatrace for AWS Distro for OpenTelemetry: . Ease of ingestion —with AWS Distro for OpenTelemetry .

AWS 220

AWS Lambda Serverless Metrics 220

Dynatrace

SEPTEMBER 13, 2023

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 243

AWS Efficiency Azure Cloud 243

Dynatrace

APRIL 6, 2022

We’re excited to announce that Dynatrace has been recognized as a launch partner for the newly introduced Amazon Web Services (AWS) offering AWS Lambda Function URLs. What is AWS Lambda? AWS Lambda is one of the most popular serverless compute services in the market. What are AWS Lambda Function URLs.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

APRIL 25, 2023

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. What are serverless applications?

Serverless 203

Serverless Lambda Azure AWS 203

Dynatrace

AUGUST 12, 2020

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Serverless computing is a computing model that “allows you to build and run applications and services without thinking about servers.”. Simplify error analytics. Optimize timing hotspots.

Serverless 234

Serverless Azure Monitoring Lambda 234

Dynatrace

AUGUST 25, 2023

It makes them available for a log analytics platform to gain automated, contextual, and actionable insights into the services and underlying platforms. It’s also a great option for situations where an application writes logs inside pods or if serverless k8s deployments, such as AWS Fargate, are utilized.

Serverless 219

Serverless Analytics AWS Azure 219

Dynatrace

AUGUST 12, 2020

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Serverless computing is a computing model that “allows you to build and run applications and services without thinking about servers.”. Simplify error analytics. Optimize timing hotspots.

Serverless 140

Serverless Azure Monitoring Lambda 140

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. FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes. Waterfall visualization of all requests.

Analytics 154

Analytics Technology Technology Cloud 154

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.

Serverless 145

Serverless Lambda Best Practices Traffic 145

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. It only costs about $.01

Cloud 166

Cloud Lambda Serverless AWS 166

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 136

Azure Serverless IoT Lambda 136

Dynatrace

DECEMBER 15, 2022

As with all other log ingestion configurations, these examples work seamlessly with the new Log Management and Analytics powered by Grail that provides answers with any analysis at any time. 3: Ingest AWS Fargate logs with Fluent Bit. Let’s take this example of AWS Fargate. Ingest AWS Fargate logs with Fluent Bit.

Strategy 177

Strategy AWS Open Source Transportation 177

Adrian Cockcroft

FEBRUARY 13, 2023

Sustainability at AWS re:Invent 2022 -All the talks and videos I could find… Las Vegas MSG Sphere under construction next door to the Venetian Sands Expo Center — Photo by Adrian This blog post is long overdue — I spent too long trying to find time to watch all the videos, and finally gave up and listed a few below that I haven’t seen.

AWS 64

AWS Energy Architecture Programming 64

Dynatrace

NOVEMBER 10, 2022

Organizations can combine cloud-native services to build applications with unique value enabled by the cloud, such as advanced analytics, mobile apps, and chatbots. This simplifies management and streamlines rollback, roll forward, and updates. What are cloud-native services?

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

APRIL 11, 2023

Shift-Left with Dynatrace: Automating Performance Feedback with AWS, Mesos and Containers – blog Andi Grabner had an opportunity to speak with a customer working in the financial sector. The schema and index-dependent approach of traditional databases can’t keep pace or provide adequate analytics of these hyperscale environments.

Cloud 183

Cloud DevOps Open Source Retail 183

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. NET , Java , JavaScript/Node.js , and Python. The checkout cart service, a Node.js record(value); }.

Metrics 139

Metrics Open Source Lambda Serverless 139

Dynatrace

OCTOBER 1, 2021

Business analytics : Organizations can combine business context with full stack application analytics and performance to understand real-time business impact, improve conversion optimization, ensure that software releases meet expected business goals, and confirm that the organization is adhering to internal and external SLAs.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

Dynatrace

JUNE 1, 2021

Telemetry data from a serverless environment is quite different from a database or a virtual machine (VM), for example, but a business still needs to normalize and centrally manage all the information as it comes in. User experience and business analytics. Cloud-native apps also produce many kinds of data. Advanced cloud observability.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Smashing Magazine

AUGUST 3, 2023

But once we had a good understanding, we knew exactly what to look for and began analyzing the analytics of our user data to identify areas that could be improved. We can then forward this data to a custom analytics service. One of the key Next.js The reportWebVitals function.

Performance 74

Performance Cache Traffic Metrics 74

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. Amazon and AWS Ascendant. If Microsoft and Google really are coming on strong, they aren’t dislodging Amazon and AWS. Serverless Stagnant.

Cloud 141

Cloud Serverless AWS Architecture 141

All Things Distributed

JUNE 21, 2018

In fact, this is been proven by our customers as Amazon Aurora remains the fastest growing service in AWS history. Amazon Elasticsearch Service (Amazon ES) is purpose built for providing near real-time visualizations and analytics of machine-generated data by indexing, aggregating, and searching semi structured logs and metrics.

Database 167

Database AWS Games Latency 167

All Things Distributed

OCTOBER 12, 2016

Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency. As data sizes grow and expectations move from analytics on a daily basis to analytics on a real-time basis, the need to process data quickly increases.

Scalability 130

Scalability Analytics Cache AWS 130