Dynatrace

JANUARY 23, 2024

The following resources provide more information on how to get the most out of your AI investment, the importance of data quality for business success, and automating manual IT processes to prioritize innovation. Teams face siloed processes and toolsets, vast volumes of data, and redundant manual tasks.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

APRIL 11, 2023

Urgency Grows for Observability and Security Convergence – APMdigest.com article CIOs and senior DevOps managers are looking to DevSecOps processes, the convergence of observability and security, and the increased use of AI and automation to balance accelerated innovation with reliability and security.

Cloud 180

Cloud DevOps Open Source Retail 180

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

MARCH 22, 2023

The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services. Security misconfiguration Security misconfiguration covers the basic security checks every software development process should include.

Open Source 191

Open Source Artificial Intelligence Internet Internet 191

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. You’ll soon have even more methods for log ingestion into Dynatrace soon, for example: Automated OpenTelemetry logs acquisition and processing.

Strategy 174

Strategy AWS Open Source Transportation 174

Dynatrace

NOVEMBER 8, 2021

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. APM products form a baseline for these metrics and monitor the applications for any variance from the baseline.”

Artificial Intelligence 227

Artificial Intelligence Monitoring Infrastructure Cloud 227

Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

Serverless 171

Serverless Architecture Open Source Innovation 171

Dynatrace

JANUARY 12, 2022

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication.

Analytics 180

Analytics Systems DevOps Healthcare 180

Dynatrace

NOVEMBER 18, 2021

Logs include critical information that can’t be found elsewhere, like details on transactions, processes, users, and environment changes. Log entries related to individual transactions can be spread across multiple microservices or serverless workloads. Automatically connect logs and distributed traces at scale.

Analytics 218

Analytics Cloud Java Serverless 218

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously.

Analytics 227

Analytics Artificial Intelligence Storage Serverless 227

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 232

Serverless Azure Monitoring Lambda 232

Dynatrace

FEBRUARY 23, 2022

DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues.

Serverless 258

Serverless Infrastructure Innovation DevOps 258

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

OCTOBER 8, 2020

This means, you don’t need to change even a single line of code in the serverless functions themselves. Serverless functions extend applications to accelerate speed of innovation. These serverless functions allow developers to focus on their business logic. Automatic, cold-start detection for every Lambda invocation.

Lambda 287

Lambda AWS Programming Serverless 287

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. AWS Inferentia 2.6x shorter training time, saving 54% energy and 75% cost. Good example, well presented interesting new material.

AWS 64

AWS Energy Architecture Programming 64

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. PurePath unlocks precise and actionable analytics across the software lifecycle in heterogenous cloud-native environments.

Analytics 153

Analytics Technology Technology Cloud 153

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 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. Ingesting, processing, retaining, and querying logs. Dissolving data silos.

Analytics 181

Analytics Infrastructure Storage Efficiency 181

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. It automatically manages all the computing resources those processes require.

Azure 136

Azure Serverless IoT Lambda 136

Dynatrace

MARCH 6, 2024

“IDPs are not constrained to building microservices or a new serverless app,” Grabner noted. Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making. This process is vital to an IDP’s effectiveness.

Engineering 234

Engineering Development DevOps Infrastructure 234

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. It’s simply not practical to create a unique query tailored for each data source.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

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. It’s simply not practical to create a unique query tailored for each data source.

Analytics 52

Analytics Social Media Serverless Cloud 52

Dynatrace

NOVEMBER 20, 2020

We believe this placement recognizes Dynatrace’s leadership in applying AI, automation, and advanced analytics to business and operations use cases to provide predictive and prescriptive answers to IT issues in real time. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics.

Artificial Intelligence 243

Artificial Intelligence Serverless Analytics Innovation 243

Dynatrace

FEBRUARY 15, 2023

App developers have the same limitless possibilities for creating customized analytics and integrations in any IT environment, whether in the cloud or on-premises. Analyzing petabytes of data only works if the logic is very close to where the data is stored and processed. Everything thinkable is now possible.

Government 160

Government Serverless Analytics Metrics 160

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. CloudOps includes processes such as incident management and event management. The four stages of data processing. Aggregate it for alerts.

DevOps 189

DevOps Artificial Intelligence Healthcare Innovation 189

Dynatrace

MAY 19, 2023

It’s more complex than it sounds.” As cloud entities multiply, along with greater reliance on microservices and serverless architectures, so do the complex relationships and dependencies among them. Additionally, Dynatrace has partnered with Gigamon to understand on-premises network traffic flows.

Network 209

Network Monitoring Performance Traffic 209

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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 226

Java Traffic Strategy Architecture 226

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 2: Instrument compute and serverless cloud technologies. It only costs about $.01

Cloud 163

Cloud Lambda Serverless AWS 163

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 141

Cloud Serverless AWS Architecture 141

Dynatrace

OCTOBER 1, 2021

As more organizations adopt cloud-native architectures, they are also looking for ways to implement AIOps, harnessing AI as a way to automate more processes throughout the DevSecOps life cycle. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

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

JANUARY 12, 2021

Yesterday’s monolithic processes used preallocated resources set aside for a specific purpose, provisioned for a specific need. These have been replaced by agile, portable microservices that get spun up as they are needed. Turning raw data into actionable business intelligence.

Monitoring 185

Monitoring Artificial Intelligence DevOps Serverless 185

All Things Distributed

OCTOBER 12, 2016

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. This enables “here-and-now” real-time processing and dashboards as well as predictions that enable smart applications.

Scalability 130

Scalability Analytics Cache AWS 130

Smashing Magazine

AUGUST 3, 2023

However, achieving a good LCP score is often a multi-faceted process that involves optimizing several stages of loading and rendering. HTML Processing Once a web page’s HTML file has been downloaded, the browser begins to process the contents line by line, translating code into the visual website that users interact with.

Performance 74

Performance Cache Traffic Metrics 74

All Things Distributed

JUNE 21, 2018

In-memory: Financial services, Ecommerce, web, and mobile application have use cases such as leaderboards, session stores, and real-time analytics that require microsecond response times and can have large spikes in traffic coming at any time. Search: Many applications output logs to help developers troubleshoot issues.

Database 167

Database AWS Games Latency 167