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

FEBRUARY 23, 2022

In December of 2021, for example, Log4Shell highlighted the importance of organizations to monitor code in development and production but also the code of their partners and customers. As a result, Git becomes the single source of truth and control mechanism for creating, updating, and deleting system architecture dynamically.

Serverless 254

Serverless Infrastructure Innovation DevOps 254

Dynatrace

MARCH 6, 2024

Grabner gave the example of one Dynatrace banking customer who built an IDP that enables developers to provision new Azure machines or Chef policies without administrative help. “IDPs are not constrained to building microservices or a new serverless app,” Grabner noted.

Engineering 230

Engineering Development DevOps Infrastructure 230

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 177

Analytics Infrastructure Storage Efficiency 177

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. The observability problem of the serverless approach. Dynatrace news.

Azure 135

Azure Serverless IoT Lambda 135

Dynatrace

DECEMBER 9, 2020

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces. Dynatrace news.

Java 222

Java Traffic Strategy Architecture 222

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. Set up the configuration on the same port as specified for source data, in this example 5140. Let’s take this example of AWS Fargate.

Strategy 171

Strategy AWS Open Source Transportation 171

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.

Cloud 176

Cloud DevOps Open Source Retail 176

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. SRG validates the status of the resiliency SLOs for the experiment period.

AWS 236

AWS Efficiency Azure Cloud 236

Dynatrace

JANUARY 23, 2024

For example, high-quality data and predictive AI enable causal AI to provide precise, continuous, and actionable insights in real time. While app-centric serverless approaches abstract some of the complexities of cloud-native architecture, as the analyst firm Forrester notes , the next frontier for serverless adoption is at the edge.

Performance 176

Performance DevOps Innovation Artificial Intelligence 176

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

O'Reilly

MAY 19, 2020

In our AI adoption in the enterprise survey , for example, we had close to a 50/50 split between North America and the rest of the world. It’s likely that most respondents lack complete visibility into and across their organizations; in a large enterprise, for example, few if any people have this kind of panoptic view.

Cloud 141

Cloud Serverless AWS Architecture 141

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 52

Analytics Social Media Serverless Cloud 52

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. Let’s say, for example, an application is experiencing a slowdown in receiving its search requests. Achieving autonomous operations. Deterministic AI.

DevOps 185

DevOps Artificial Intelligence Healthcare Innovation 185

Dynatrace

JANUARY 12, 2021

Observability is the new standard of visibility and monitoring for cloud-native architectures. For example, DevOps teams cannot preconfigure a separate dashboard to monitor every metric for a single application system because it has become impossible to predict in advance what problems are most likely to occur.

Monitoring 181

Monitoring Artificial Intelligence DevOps Serverless 181

Dynatrace

JUNE 1, 2021

Business KPIs and user journey analysis (for example, login to check out) to optimize user experiences and provide transparency into how changes impact KPIs. Application architecture to gain insights into how application architecture changes impact performance and user experience. Benefits of point solutions.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Adrian Cockcroft

FEBRUARY 13, 2023

This is the AWS Professional Services built tooling that customers can use to track the carbon footprint of their operations and processes, along with a customer example. Good example, well presented interesting new material. SUS302 Optimizing architectures for sustainability — Katja Philipp AWS SA and Szymon Kochanski AWS SA.

AWS 64

AWS Energy Architecture Programming 64

Smashing Magazine

MAY 17, 2021

Taking an average , for example, would hide a lot of bad experiences people have. Through the use of BundlePhobia and Lighthouse, we found that third-party error logging and analytics software contributed significantly to our bundle size and load time. Google Analytics can show an average value of your web vitals scores.

Google 95

Google Analytics Serverless Metrics 95

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. For example, heart-rate telemetry from a smart watch cannot be effectively evaluated in isolation. Sign up to use the service here.

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. For example, heart-rate telemetry from a smart watch cannot be effectively evaluated in isolation. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52

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. Here are some examples: Looker Studio filter. One of the key Next.js The reportWebVitals function.

Performance 75

Performance Cache Traffic Metrics 75

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Unfortunately, other than cost advantage Wordpress and Drupal have similar deficiencies i.e. legacy monolith architecture.

Systems 63

Systems Cache Website Network 63

Smashing Magazine

SEPTEMBER 24, 2021

Vercel and Netlify also use serverless functions for the Server Side Rendering, which is the most efficient way to scale out. When you run npx create-next-app , you will have a folder structure like the following (this is also how most examples are structured): /public logo.gif /src /lib /hooks useForm.js /api content.js /components Header.js

Website 115

Website Code Servers Analytics 115