DZone

SEPTEMBER 14, 2023

Such a gigantic log analysis system is part of their cybersecurity management. From an architectural perspective, the system should be able to undertake real-time analysis of various formats of logs, and of course, be scalable to support the huge and ever-enlarging data size.

Analytics 124

Analytics Storage Architecture Scalability 124

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 174

Serverless Architecture Open Source Innovation 174

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Having all data in context tremendously simplifies analytics and problem detection.

Architecture 167

Architecture Availability Infrastructure Metrics 167

Dynatrace

APRIL 17, 2024

You can now seamlessly expand your analysis of the root cause of any problem identified by Davis ® AI with logs automatically available in the correct context of hosts, applications, or other identifiers specific to your environment. You can now install OneAgent on Linux with s390 architecture. Next, set up log ingest.

Operating System 201

Operating System Energy Infrastructure Architecture 201

DZone

OCTOBER 6, 2023

Cloud-native application development in AWS often requires complex, layered architecture with synchronous and asynchronous interactions between multiple components, e.g., API Gateway, Microservices, Serverless Functions, and system of record integration.

AWS 263

AWS Cloud Lambda Performance 263

Dynatrace

OCTOBER 22, 2019

Thread dumps are now a thing of the past; the future belongs to 24×7 continuous thread analysis. Identify and solve performance bottlenecks faster with continuous thread analysis. You’ll find this new feature in the CPU profiler at Diagnostic tools > CPU analysis. Use case #1: Identify scalability issues.

Java 102

Java Scalability Hardware Architecture 102

DZone

JUNE 15, 2023

The platform uses a pull-based architecture to collect metrics from various targets. It stores the metrics in a time-series database and provides the powerful PromQL query language for efficient analysis and data visualization.

Open Source 286

Open Source Metrics Efficiency Architecture 286

Dynatrace

MAY 2, 2024

Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. Whether multicloud or hybrid , public or private, cloud-native architecture offers flexibility and agility to help organizations deliver software faster.

Artificial Intelligence 226

Artificial Intelligence Cloud Best Practices DevOps 226

Dynatrace

JANUARY 4, 2024

It uses fault-tree analysis to identify the component events that cause outcomes at a higher level. Causal AI applies a deterministic approach to anomaly detection and root-cause analysis that yields precise, continuous, and actionable insights in real time. That’s where causal AI can help.

Government 197

Government Analytics Benchmarking Storage 197

Dynatrace

APRIL 19, 2024

Figure 3: Funnel analysis implemented by selecting a custom user journey. AWS cloud cost analysis To optimize cloud spend, the FinOps team at Dynatrace built a solution that automatically ingests hourly Amazon Web Services (AWS) billing data on a daily basis as BizEvents into a Dynatrace Grail™ bucket.

AWS 216

AWS Analytics Cloud Monitoring 216

O'Reilly Software

MAY 16, 2019

Microservices, serverless, AI, ML, and Kubernetes are among the most notable topics in our analysis of proposals from the O’Reilly Software Architecture Conference. They also understand that business and architecture can no longer be compartmentalized, and that revenue is at stake.

Software Architecture 104

Software Architecture Architecture Software Software 104

Alex Podelko

OCTOBER 20, 2016

New Architectures (this post). Cloud seriously impacts system architectures that has a lot of performance-related consequences. Cloud and virtualization triggered appearance dynamic, auto-scaling architectures, which significantly impact getting and analyzing feedback. – Cloud. – Agile. – New Technologies.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

The Netflix TechBlog

MAY 4, 2023

When undertaking system migrations, one of the main challenges is establishing confidence and seamlessly transitioning the traffic to the upgraded architecture without adversely impacting the customer experience. This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

JANUARY 31, 2024

The comprehensive functionality is highly customizable, facilitating a seamless presentation of any SAP metric in the context of SAP systems, business architecture, and all SAP-integrated systems. Troubleshoot faster with quick, automated root-cause analysis within SAP and between SAP and non-SAP integrated domains.

Java 185

Java Analytics Best Practices Monitoring 185

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Customers experience delayed time to value from the data they’re ingesting as they must take additional steps to make the data useful for troubleshooting and analysis, such as re-indexing. Increased data ingestion at reduced costs.

Retail 233

Retail Storage Best Practices Architecture 233

Dynatrace

MARCH 6, 2024

In fact, 81% of technology leaders say the effort their teams invest in maintaining monitoring tools and preparing data for analysis steals time from innovation. Kubernetes architectures make it easier to quickly scale services to new users and drive efficiency gains through dynamic resource provisioning.

Analytics 187

Analytics Innovation Strategy Storage 187

Dynatrace

JANUARY 17, 2023

Kubernetes teams lack simple, consistent, vendor-agnostic architectures for analyzing observability signals across teams. This example is a good starting point for exploratory analysis with context-aware Dynatrace Davis insights. Apply relevant signals in context for exploratory analysis. What’s ahead in 2023.

Analytics 276

Analytics Metrics Open Source Java 276

Dynatrace

OCTOBER 4, 2022

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. It’s based on cloud-native architecture and built for the cloud. But what does that mean?

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

Dynatrace

NOVEMBER 10, 2022

As companies accelerate digital transformation, cloud services such as AWS Lambda help companies to modernize their application architectures to quickly adapt to the needs of their customers while offloading the operational complexity to their cloud vendor. The need for a simplified approach to capture telemetry.

Lambda 231

Lambda Serverless AWS Latency 231

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. Common questions include: Where do bottlenecks occur in our architecture? Dynatrace news. How can we optimize for performance and scalability?

Analytics 246

Analytics Open Source Serverless Architecture 246

All Things Distributed

JUNE 10, 2016

If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. Mobile Backend Serverless Reference Architecture. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 107

Lambda Serverless AWS Architecture 107

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail — blog Log management and analytics are key to any company’s observability strategy. Digital transformation shows no signs of slowing down.

Efficiency 272

Efficiency Performance Analytics DevOps 272

All Things Distributed

MAY 10, 2016

If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. Mobile Backend Serverless Reference Architecture. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 105

Lambda Serverless AWS Architecture 105

Dynatrace

OCTOBER 7, 2021

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

Serverless 276

Serverless AWS Lambda Storage 276

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 Next generation architectures will use CXL3.0

Architecture 52

Architecture Latency Benchmarking AWS 52

Dynatrace

FEBRUARY 15, 2023

Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. For more complex cloud-native architectures, adding more services and applications leads to a massive increase in the volume of collected traces.

Analytics 226

Analytics Social Media Metrics Efficiency 226

The Netflix TechBlog

NOVEMBER 13, 2023

From “Audio Signal Classification” by David Gerhard Dialogue analysis & processing During encoding at Netflix, speech-gated loudness is computed for every audio master track and used for loudness normalization. All models in our experiments were trained by minimizing binary cross-entropy (BCE) loss.

Architecture 224

Architecture Energy Benchmarking Processing 224

O'Reilly Software

OCTOBER 23, 2018

I should start by saying this section does not offer a treatise on how to do architecture. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved. Everyone who goes to architecture school learns his work. It must be beautiful, like Venus, inspiring love.

Strategy 100

Strategy Architecture Technology Technology 100

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. Deep-code execution details.

Java 230

Java Traffic Strategy Architecture 230

Dynatrace

FEBRUARY 9, 2022

AI-powered automation and deep, broad observability for serverless architectures. Tracing becomes simple thanks to an easy and extensible approach that leverages existing Dynatrace technology, such as PurePath® distributed tracing for end-to-end, automatic, code-level visibility, and Davis, the Dynatrace AI engine, for root-cause-analysis.

Serverless 184

Serverless Azure Lambda AWS 184

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. “Logging” is the practice of generating and storing logs for later analysis. Dynatrace news. billion in 2020 to $4.1 What are logs?

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

JUNE 9, 2023

Research has found that 99% of organizations have embraced a multicloud architecture. When it comes to extracting insight, however, teams need to transfer data to a warehouse technology so technologies can aggregate and prepare it for analysis. Cloud complexity leads to data silos Most organizations are battling cloud complexity.

DevOps 180

DevOps Analytics Storage Metrics 180

Dynatrace

NOVEMBER 14, 2023

These small wins, such as implementing a blameless root cause analysis process, can take many forms and don’t necessarily involve numerical metrics. Generative AI can also help improve root cause analysis by allowing users to ask specific questions regarding architecture and digital environments.

Best Practices 188

Best Practices Engineering DevOps Software Engineering 188

Dynatrace

JUNE 15, 2023

Microservices-based architecture Applications built using microservices-based architecture can operate and interact across different cloud platforms. Unfortunately, traditional security testing and software composition analysis requires significant time to return results. These alerts tend to slow down development.

Cloud 174

Cloud Open Source Architecture Monitoring 174

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.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. Getting precise root cause analysis when dealing with several layers of virtualization in a containerized world. Dynatrace news. Operational excellence. Reliability.

Azure 184

Azure Monitoring Virtualization Metrics 184

Dynatrace

FEBRUARY 16, 2023

Three pillars of observability converge with context and business data at the massive scale of Grail The Dynatrace Software Intelligence Platform has always brought the full value of logs, metrics, and traces together with context and user data for AI-powered analysis.

Analytics 182

Analytics Innovation Metrics Database 182