DZone

MARCH 7, 2023

When organizations move toward the cloud, their systems also lean toward distributed architectures. You need to find the right tools to monitor, track and trace these systems by analyzing outputs through metrics, logs, and traces. One of the most common examples is the adoption of microservices.

Architecture 312

Architecture Metrics Cloud Monitoring 312

The Netflix TechBlog

APRIL 27, 2023

A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! Hence, we started down the path of alert evaluation via real-time streaming metrics. OK, Results?

Storage 288

Storage Cache Metrics Database 288

DZone

FEBRUARY 16, 2023

Now, we are moving toward microservices architecture, where applications are divided into multiple independently deployable services. In this kind of application architecture, it becomes difficult to observe how one service depends on or affects other services. These services have their own goal and logic to serve.

Architecture 256

Architecture Metrics Code Systems 256

DZone

NOVEMBER 28, 2022

Early this year, the book Software Architecture Metrics: Case Studies to Improve the Quality of Your Architecture was published. He wrote a chapter that is particularly useful in contexts where the architecture and environment still have many opportunities for improvement. Intro and Problem Statement.

Processing 223

Processing Software Architecture Architecture Metrics 223

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. Provides a platform to ensure that relevant operational insights , metrics, logging, and alerting are in place before migration.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

SEPTEMBER 5, 2023

An extension-built topology model allows you to easily navigate between all the entities that make up your database servers or cluster architecture and review specific statistics in their proper context. They enable you to monitor the performance of your database layer, even in complex environments.

Database 200

Database Metrics Monitoring Servers 200

Dynatrace

JULY 11, 2023

Many global enterprises have instrumented their code to emit traces, metrics, and logs in a standardized and vendor-neutral way using OpenTelemetry. While ingestion of OpenTelemetry traces and metrics into Dynatrace is supported, companies often prefer to collect logs in the OpenTelemetry format.

Open Source 214

Open Source Analytics Metrics Cloud 214

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 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

JUNE 9, 2023

Research has found that 99% of organizations have embraced a multicloud architecture. Metrics Metrics are the quantitative measurements of application performance or user experience that teams can calculate or aggregate over time to feed into observability-driven analytics.

DevOps 183

DevOps Analytics Storage Metrics 183

Dynatrace

MARCH 18, 2024

Suboptimal architecture design. Setting up and monitoring alerts for various metrics—such as resource usage, cost trends, budget thresholds, or deviations from expected spending patterns—can help FinOps teams stay ahead of unexpected expenses or budget overruns. Poorly designed cloud solutions can become costly over time.

Best Practices 231

Best Practices Strategy Cloud AWS 231

The Netflix TechBlog

FEBRUARY 3, 2021

Our colleagues wrote a Netflix Tech Blog post describing the details of this architecture. The transition to the new federated architecture meant that many of our backend teams needed to adopt GraphQL in our Java ecosystem. Backward compatibility is even more critical when working in a Federated GraphQL architecture.

Open Source 246

Open Source Java Architecture Metrics 246

Dynatrace

JANUARY 4, 2024

In AIOps , this means providing the model with the full range of logs, events, metrics, and traces needed to understand the inner workings of a complex system. Modern, cloud-native architectures have many moving parts, and identifying them all is a daunting task with human effort alone. How can organizations improve data quality?

Government 199

Government Analytics Benchmarking Storage 199

DZone

DECEMBER 28, 2021

How To Avoid Pain Points Introduced by Cloud-Based Architectures. Thus, having a deep understanding of how to measure performance and what metric IO pattern to use is quite important. Editor’s Note: The following is an article written for and published in DZone’s 2021 Application Performance Management Trend Report.

Performance 246

Performance Cloud Architecture Metrics 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

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

MARCH 29, 2024

. “We use AI to optimize the configuration of the software stack,” Doni said, highlighting how Akamas works by taking into account infrastructure and application metrics at the same time to achieve its optimization goals. “Additionally, we are full-stack and goal-oriented.

Engineering 225

Engineering DevOps Operating System Open Source 225

Tasktop

OCTOBER 18, 2021

Speaking about DevOps and OKRs, Mik shared some of his “lessons learned” from large-scale transformations that leveraged OKRs and Flow Metrics to create an end-to-end, organization-wide feedback loop, as well as pitfalls that snapped some organizations back into the waterfall ways of measuring delivery. Take a Course in Flow Metrics.

DevOps 52

DevOps Metrics Virtualization Innovation 52

Dynatrace

FEBRUARY 12, 2024

In protecting critical data and resources, ZT also establishes continuous multi-factor authentication, micro-segmentation, encryption, endpoint security, automation, and analytics, per the Department of Defense (DoD) Zero Trust Reference Architecture. “In Discover more in the latest ebook.

Government 179

Government Analytics Network Traffic 179

Strategic Tech

JUNE 2, 2021

Modernizing an architecture usually take years. Low Hanging Fruit vs Last Toothpaste in the Tube In the dream scenario, there is an area of the architecture which has a high value to the business when modernized and has little complexity. In the Architecture Modernization Sequencing Grid, this is the bottom right corner.

Architecture 52

Architecture Infrastructure Technology Technology 52

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. Track log metrics and receive alerts without manually setting thresholds.

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

MAY 19, 2022

Example 1: Architecture boundaries. First, they took a big step back and looked at their end-to-end architecture (Figure 2). SLO dashboard defined by architectural boundary. The metrics behind the four signals vary by row. My web requests are all HTTP 2XX success, so why are my users getting errors? So, what did they do?

Automotive 269

Automotive Latency Architecture Azure 269

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

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

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Application architectures might not be conducive to rehosting. In January 2023, Dynatrace released the Carbon Impact app, adding carbon emissions and energy consumption metrics to observability data.

Cloud 208

Cloud Energy Best Practices Cache 208

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed. The following three metrics are commonly used to measure success: Service-level agreements (SLAs).

Best Practices 222

Best Practices DevOps Latency Metrics 222

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 Flow Exporter also publishes various operational metrics to Atlas. These metrics are visualized using Lumen , a self-service dashboarding infrastructure.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

DECEMBER 27, 2022

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service.

Software 262

Software Software Benchmarking Latency 262

Dynatrace

OCTOBER 6, 2020

Observability as a topic is becoming more important as applications are using microservice architectures and are deployed in Kubernetes environments. This example shows how relying on metrics and log data alone is insufficient. This example shows how relying on metrics and log data alone is insufficient. The setup .

Metrics 197

Metrics Architecture Engineering Processing 197

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. Recovery time of the throughput metric.

Engineering 145

Engineering Tuning Latency Open Source 145

Dynatrace

SEPTEMBER 9, 2022

According to IBM , application modernization takes existing legacy applications and modernizes their platform infrastructure, internal architecture, or features. It’s important to create a baseline of metrics in an application modernization strategy. Why should organizations modernize applications?

Strategy 226

Strategy Benchmarking Serverless Infrastructure 226

DZone

JUNE 11, 2020

To diagnose a TiDB cluster's issues, even an experienced database administrator (DBA) needed to understand TiDB's basic architecture, get familiar with thousands of TiDB monitoring metrics, and gain experience in the field to ensure that when they encountered similar problems next time, they could fix them more quickly.

Database 246

Database Open Source Analytics Architecture 246

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Pricing the actual usage is integral to the financial accountability with the cloud architecture variable spend model. DQL offers many options for analyzing logs, such as extracting metrics from historical data and charting or visualizing them.

Retail 236

Retail Storage Best Practices Architecture 236

Dynatrace

JANUARY 23, 2024

What will the new architecture be? Session attendees will learn first-hand how Dynatrace natively integrates into the AWS Migration Hub to provide a full topology of on-prem workloads and dependencies in order to generate the ideal cloud-based architecture in the AWS cloud. What can we move?

Cloud 210

Cloud Artificial Intelligence Performance AWS 210

Uber Engineering

AUGUST 7, 2018

To facilitate the growth of Uber’s global operations, we need to be able to quickly store and access billions of metrics on our back-end systems at any given time.

Open Source 104

Open Source Metrics Infrastructure Scalability 104

Dynatrace

APRIL 21, 2022

With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale. We also plan to add logs and events to further enrich Davis AI event correlation and automated root cause analysis for metric anomalies.

Database 240

Database DevOps Analytics Servers 240

Dynatrace

APRIL 5, 2024

Data Explorer “test your Metric Expression” for info result coming from the above metric. Following the previous metric (above) used for the SLO, the threshold employed is an average of 100 ms for the Key Performance Indicator (KPI) of DOM Interactive.

Efficiency 224

Efficiency Traffic Tuning Metrics 224

Dynatrace

NOVEMBER 9, 2023

However, managing Kubernetes optimally can be a daunting task due to its complex architecture. It’s important to choose the right metrics to track based on your objective. It allows for seamless running of containerized workloads across different environments.

Efficiency 273

Efficiency Monitoring Best Practices Open Source 273