Dynatrace

APRIL 17, 2024

Mainframe is a strong choice for hybrid cloud, but it brings observability challenges IBM Z is a mainframe computing platform chosen by many organizations with a hybrid cloud strategy because of its security, resiliency, performance, scalability, and sustainability. You can now install OneAgent on Linux with s390 architecture.

Operating System 211

Operating System Energy Infrastructure Architecture 211

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 174

Architecture Availability Infrastructure Monitoring 174

Dynatrace

OCTOBER 22, 2019

This is why threads are often the source of scalability as well as performance issues. 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. Use case #1: Identify scalability issues.

Java 103

Java Scalability Hardware Architecture 103

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 286

Serverless AWS Lambda Storage 286

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. Reloaded was well-architected, providing good stability, scalability, and a reasonable level of flexibility. Several promising ideas were abandoned owing to the outsized work needed to overcome architectural limitations.

Processing 229

Processing Media Latency Innovation 229

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 242

Retail Storage Best Practices Architecture 242

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

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Exploring artificial intelligence in cloud computing reveals a game-changing synergy.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JUNE 9, 2023

Increasing an organization’s DevOps maturity is a key goal as teams adopt more cloud-native technologies, which simultaneously makes their environments more scalable and feature-rich but also more complex. Research has found that 99% of organizations have embraced a multicloud architecture.

DevOps 189

DevOps Analytics Storage Metrics 189

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

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. From the beginning, Grail was built to be fast and scalable to manage massive volumes of data.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

Dynatrace

AUGUST 21, 2023

A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. Additionally, a unified log management solution can help to automate many of the tasks associated with log management, such as correlation and analysis.

Analytics 147

Analytics Innovation Infrastructure Scalability 147

Dynatrace

JANUARY 5, 2022

To do so we have successfully established AI-based White box load and resiliency testing with JMeter and Dynatrace, helping identify and resolve major performance and scalability problems in recent projects before deploying to production. Each step is automated from provisioning infrastructure to problem analysis.

Testing 223

Testing Open Source Metrics Infrastructure 223

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? How can we optimize for performance and scalability?

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

FEBRUARY 15, 2023

Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. Grail solves this scalability issue! Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail.

Analytics 235

Analytics Social Media Metrics Efficiency 235

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. What is IT automation?

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

NOVEMBER 28, 2022

The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability. Understand and optimize your architecture. Automatic observability and root-cause analysis for DevOps, cloud, and apps teams.

Lambda 229

Lambda AWS Serverless Latency 229

Scalegrid

JANUARY 5, 2024

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. Practical Applications of DBMS DBMS finds practical applications in various fields.

Efficiency 147

Efficiency Storage Database Scalability 147

The Netflix TechBlog

MARCH 5, 2019

Challenges & Opportunities in the Infra Data Space Security Events Platform for Anomaly Detection How can we develop a complex event processing system to ingest semi-structured data predicated on schema contracts from hundreds of sources and transform it into event streams of structured data for downstream analysis?

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

APRIL 7, 2023

Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications. Dynatrace The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability.

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

MARCH 18, 2024

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data.

Best Practices 238

Best Practices Strategy Cloud AWS 238

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

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

The Netflix TechBlog

JUNE 7, 2021

Flow Exporter The Flow Exporter is a sidecar that uses eBPF tracepoints to capture TCP flows at near real time on instances that power the Netflix microservices architecture. The data is also used by security and other partner teams for insight and incident analysis. What is BPF?

Network 325

Network Transportation AWS Cloud 325

The Netflix TechBlog

FEBRUARY 18, 2022

To this end, we developed a Rapid Event Notification System (RENO) to support use cases that require server initiated communication with devices in a scalable and extensible manner. Architecture As shown in the diagram above, the RENO service can be broken down into the following components.

Systems 334

Systems Traffic Architecture Mobile 334

Dynatrace

DECEMBER 22, 2021

They are particularly important in distributed systems, such as microservices architectures. Once teams centralize their telemetry data, an observability platform can provide analysis that enriches the value of the data. Observability platforms are becoming essential as the complexity of cloud-native architectures increases.

Artificial Intelligence 183

Artificial Intelligence Metrics Architecture DevOps 183

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. Conventional database performance analysis is simple, though, compared with diagnosing microservice architectures with multiple components and an array of dependencies. Dynatrace news.

Monitoring 226

Monitoring Metrics DevOps Scalability 226

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. This Command Line Interface (CLI) can be used for basic activity metrics and offers powerful real-time data analysis tools, giving you more control over the performance of your servers.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. Two random pods executing worker instances are killed.

Engineering 185

Engineering Tuning Latency Open Source 185

Dynatrace

MAY 13, 2022

Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance. In addition to the built-in views, Dynatrace provides data analysis that enhances your ability to query and chart metrics.

Azure 239

Azure Latency Metrics Infrastructure 239

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

NOVEMBER 11, 2022

Therefore, they need an environment that offers scalable computing, storage, and networking. Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management. What is hyperconverged infrastructure?

Infrastructure 206

Infrastructure Storage Virtualization Network 206

Dynatrace

JANUARY 22, 2024

Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations. Their scalability, comparatively low cost, and support for advanced analytics and machine learning have helped fuel AI’s rapid enterprise adoption.

Artificial Intelligence 213

Artificial Intelligence Healthcare Retail Government 213

Dynatrace

MARCH 3, 2020

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. This involves new software delivery models, adapting to complex software architectures, and embracing automation for analysis and testing. Performance-as-a-self-service .

Performance 246

Performance Education Innovation Software Architecture 246

Dynatrace

FEBRUARY 16, 2023

Observability industry themes to watch Perhaps the most significant industry trend is the shift from traditional, on-premises environments to multicloud or cloud-native architectures. The cloud boasts many benefits, such as increasing scalability, accelerating digital transformation, and reducing costs.

Analytics 176

Analytics Innovation Cloud Scalability 176

Dynatrace

JUNE 27, 2023

The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services. Ingest logs from AWS S3 with one forwarder Dynatrace now has a solution for forwarding logs from AWS S3 to its industry-leading log analysis platform, providing enterprise-level support.

AWS 204

AWS Cloud Lambda Analytics 204

Dynatrace

DECEMBER 15, 2022

While engaging the automatic instrumentation of the Dynatrace OneAgent makes log ingestion automatic and scalable , our customers have set up multiple other log ingestion methods. But there are cases where you might be limited in setting up a dedicated syslog server with OneAgent because of environment architecture or resources.

Strategy 185

Strategy AWS Open Source Transportation 185