Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. They are required to understand the full story of what happened in a system.

Cloud 262

Cloud Azure Analytics Open Source 262

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. x runtime versions of Azure Functions running in an Azure App Service plan. Azure Functions in a nutshell. Azure Functions is the serverless computing offering from Microsoft Azure.

Serverless 143

Serverless Azure Monitoring Lambda 143

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL.

Azure 150

Azure Cloud Big Data Virtualization 150

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 160

Analytics Technology Technology Cloud 160

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

NOVEMBER 29, 2024

Protect data in multi-tenant architectures To bring you the most value by unifying observability and security in one analytics and automation platform powered by AI, Dynatrace SaaS leverages a multitenancy architecture, enabling efficient and scalable data ingestion, querying, and processing on shared infrastructure.

Storage 195

Storage AWS Azure Architecture 195

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This is simply not possible with conventional architectures. Query language.

Artificial Intelligence 216

Artificial Intelligence Storage Analytics Government 216

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

DECEMBER 2, 2024

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable.

Artificial Intelligence 186

Artificial Intelligence DevOps Architecture Cloud 186

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. Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making.

Engineering 247

Engineering Development DevOps Infrastructure 247

Dynatrace

OCTOBER 6, 2023

Record-level permissions and security context As covered in the previously linked blog post about access management, Dynatrace Grail brings a new architecture to permissions management. The new approach that uses security policies provides you with new dynamic controls for user authorization.

Artificial Intelligence 266

Artificial Intelligence Metrics Analytics Storage 266

Dynatrace

FEBRUARY 16, 2023

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. You have to get automation and analytical capabilities.” Throw in behavioral analytics, metadata, and real-user data. … We start with data types—logs, metrics, traces, routes.

Artificial Intelligence 200

Artificial Intelligence Analytics Cloud Innovation 200

Dynatrace

JUNE 15, 2021

The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. The email walked through how our Dynatrace self-monitoring notified users of the outage but automatically remediated the problem thanks to our platform’s architecture. Fact #3: Minimum impact detected through synthetics.

AWS 196

AWS Traffic Architecture Azure 196

High Scalability

JANUARY 11, 2022

Architecture. We can use cloud technologies such as Amazon Kinesis or Azure Stream Analytics for collecting, processing, and analyzing real-time, streaming data to get timely insights and react quickly to new information(e.g. Sending and receiving messages from other users. High Level Design. Streaming Data Model.

Design 334

Design Media Storage Logistics 334

Dynatrace

OCTOBER 2, 2024

Only Dynatrace provides a comprehensive and accessible log management and analytics experience, helping teams resolve issues faster without compromising on depth. This architecture also means you’re not required to determine your log data use cases beforehand or while analyzing logs within the new Logs app.

Azure 181

Azure DevOps Infrastructure Cloud 181

Dynatrace

JANUARY 5, 2022

In recent years, customer projects have moved towards complex cloud architectures, including dozens of microservices and different technology stacks which are challenging to develop, maintain, and optimize for resiliency. Our solution to modernize this legacy approach is an approach we call white box testing. a Jenkinsfile.

Testing 224

Testing Open Source Metrics Infrastructure 224

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

Cache 210

Cache Azure Infrastructure Monitoring 210

Dynatrace

SEPTEMBER 27, 2024

Build a custom pipeline observability solution With these challenges in mind, Omnilogy set out to simplify CI/CD analytics across different vendors, streamlining performance management for critical builds. Consequently, troubleshooting issues and ensuring seamless software deployment becomes increasingly tricky.

Government 193

Government DevOps Azure Scalability 193

Dynatrace

APRIL 19, 2023

Enterprise data stores grow with the promise of analytics and the use of data to enable behavioral security solutions, cognitive analytics, and monitoring and supervision. The underlying software architecture that supports all this data must be secure, as well.

Design 198

Design Storage Programming Analytics 198

Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Rural lifestyle retail giant Tractor Supply Co. ” Three years ago, Tractor Supply Co.

Cloud 177

Cloud Ecommerce Performance Retail 177

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys. What is predictive AI? What is AIOps?

AWS 215

AWS Artificial Intelligence Cloud Analytics 215

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? 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 253

AWS Efficiency Azure Cloud 253

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 234

AWS Lambda Artificial Intelligence Serverless 234

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

Scalegrid

FEBRUARY 8, 2024

Distributed Storage Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database. Amazon S3 and Microsoft Azure Blob Storage leverage distributed storage solutions.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. However, open source software is often a vector for security vulnerabilities.

Cloud 183

Cloud Open Source Architecture Monitoring 183

Dynatrace

FEBRUARY 12, 2024

The new observability app for databases from Dynatrace was built to cater to all requirements of database administrators (DBAs), from swiftly assessing database availability and performance to delving into architectural intricacies for efficient troubleshooting. It helps teams to find under or overutilized resources and components quickly.

Engineering 188

Engineering Development Infrastructure Cloud 188

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

Dynatrace

MARCH 24, 2023

Part of its popularity owes to its availability as a managed service through the major cloud providers, such as Amazon Elastic Kubernetes Service , Google Kubernetes Engine , and Microsoft Azure Kubernetes Service. Likewise, Kubernetes is both an enterprise platform and managed services with Red Hat OpenShift.

Infrastructure 192

Infrastructure Open Source Operating System Cloud 192

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. However, close to half (~48%) use Microsoft Azure, and close to one-third (~32%) use Google Cloud Platform (GCP).

Cloud 141

Cloud Serverless AWS DevOps 141

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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 The advanced observability enables better time to market, efficiency, cloud operations, and lower total cost of ownership than general-purpose data analytics solutions.

Cloud 174

Cloud Lambda Serverless AWS 174

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! 3 Log Analytics. Full-stack observability. End-to-end code-level tracing. Service mash insights. End-user monitoring.

AWS 128

AWS Monitoring Ecommerce Lambda 128

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus. In Azure, most catastrophic issues happen within 1 hour after the rollout.

Infrastructure 68

Infrastructure Analytics Cloud Hardware 68

Dynatrace

JUNE 1, 2021

Application architecture to gain insights into how application architecture changes impact performance and user experience. Point solutions only provide a limited view of a company’s application architecture. User experience and business analytics. Advanced cloud observability.

Monitoring 148

Monitoring Mobile Social Media Infrastructure 148

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