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

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). Captures metrics, traces, logs, and other telemetry data in context.

Architecture 161

Architecture Availability Infrastructure Metrics 161

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. OpenTelemetry reference architecture. Logs, metrics, and traces make up the bulk of all telemetry data. What is telemetry data?

Open Source 208

Open Source Metrics Cloud Transportation 208

Dynatrace

DECEMBER 18, 2020

Agentless RUM, OpenKit, and Metric ingest to the rescue! App architecture. First, let’s explore the architecture of these apps: BizOpsConfigurator. Agentless RUM allows you to monitor your front-end apps by simply pasting a JavaScript tag into your code. Digital Business Analytics can help answer those questions.

Analytics 134

Analytics Metrics IoT Monitoring 134

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 321

Architecture Metrics Cloud Monitoring 321

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 266

Architecture Metrics Code Systems 266

Dynatrace

OCTOBER 2, 2023

Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Likewise, refactoring and rewriting code takes a lot of time and effort.

Architecture 220

Architecture Artificial Intelligence Cloud Open Source 220

Dynatrace

APRIL 30, 2019

You can read my blog supporting my session titled “ Performance as Code: Lets make it a Standard ” on the Neotys PAC blog. Introducing Pitometer: Metrics-based Deployment Validation in your CI/CD. A single indicator is defined as a query against a data source such as a monitoring, testing, security or code quality tool.

Architecture 125

Architecture Open Source Azure Metrics 125

Dynatrace

MARCH 6, 2024

As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs. “It makes them more productive.

Engineering 230

Engineering Development DevOps Infrastructure 230

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

DECEMBER 13, 2023

Rexed, Singh, and Stull outline the importance of metrics, traces, logs, events, and the role they play in achieving full–context Kubernetes observability and driving automated responses in hybrid and multi-cloud environments. So many tools can result in data inconsistencies.

Google 214

Google Cloud Infrastructure Metrics 214

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. There are two different approaches to GraphQL development; schema-first and code-first development.

Open Source 246

Open Source Java Architecture Metrics 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. From here, it’s time to consider the next level of energy optimization, green coding. Many of the same principles can be applied to green coding.

Cloud 198

Cloud Energy Best Practices Cache 198

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 203

Open Source Analytics Metrics Cloud 203

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. It’s based on cloud-native architecture and built for the cloud.

Artificial Intelligence 257

Artificial Intelligence Analytics Storage Architecture 257

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. You’re getting all the architectural benefits of Grail—the petabytes, the cardinality—with this implementation,” including the three pillars of observability: logs, metrics, and traces in context.

Analytics 176

Analytics Innovation Metrics Database 176

Dynatrace

MARCH 18, 2024

Suboptimal architecture design. For example, poorly written code can consume a lot of resources, or an application can make unnecessary calls to cloud services. Observability tools can provide insights into resource utilization metrics, such as CPU usage, memory usage, and network throughput.

Best Practices 221

Best Practices Strategy Cloud AWS 221

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 254

Cloud Azure Analytics AWS 254

Dynatrace

APRIL 15, 2024

How observability helps IT protect modern environments As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to issues across their multicloud environments. Causes can run the gamut, from coding errors and database slowdowns to hosting or network performance issues.

Infrastructure 197

Infrastructure Efficiency Government Transportation 197

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 174

DevOps Analytics Storage Metrics 174

Dynatrace

NOVEMBER 29, 2021

With Lambda, you are charged based on the number of requests for your functions and their duration (the time it takes for your code to execute) with millisecond granularity. Dynatrace’s Lambda extension fully supports Arm-based architectures. Provide a foundation for metric calculation in charts on dashboards.

Lambda 202

Lambda AWS Serverless Metrics 202

Dynatrace

AUGUST 11, 2022

Function as a service is a cloud computing model that runs code in small modular pieces, or microservices. In a FaaS model, developers can write code functions on demand, without being hindered by dependencies on existing applications. FaaS vs. monolithic architectures. What is FaaS? How does function as a service work?

Development 239

Development Serverless Best Practices Lambda 239

Dynatrace

NOVEMBER 28, 2022

For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies. With SnapStart enabled, function code is initialized once when a function version is published. Understand and optimize your architecture.

Lambda 214

Lambda AWS Serverless Latency 214

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 212

Best Practices DevOps Latency Metrics 212

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 215

Strategy Benchmarking Serverless Infrastructure 215

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. Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs.

Azure 178

Azure Monitoring Virtualization Metrics 178

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. It automatically sends JMeter metrics to the Dynatrace cluster via the Metrics Ingest API.

Testing 206

Testing Open Source Metrics Infrastructure 206

Dynatrace

DECEMBER 23, 2020

As legacy monolithic applications give way to more nimble and portable services, the tools once used to monitor their performance are unable to serve the complex cloud-native architectures that now host them. Metrics: Numeric representation of data measured over a set period. How does distributed tracing work?

Infrastructure 194

Infrastructure Cloud Monitoring Metrics 194

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. Deep-code execution details. Dynatrace news.

Java 222

Java Traffic Strategy Architecture 222

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. They are particularly important in distributed systems, such as microservices architectures.

Artificial Intelligence 169

Artificial Intelligence Metrics Architecture DevOps 169

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

Scalegrid

MARCH 14, 2024

Effective hybrid cloud management requires robust tools and techniques for centralized administration, policy enforcement, cost management, and modern infrastructure practices like Infrastructure-as-Code (IaC) and containers. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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

FEBRUARY 15, 2023

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

Analytics 218

Analytics Social Media Metrics Efficiency 218

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Enhanced code-level visibility. Dynatrace provided invaluable code-level visibility into issues, leading to faster MTTR. Pricing the actual usage is integral to the financial accountability with the cloud architecture variable spend model.

Retail 226

Retail Storage Best Practices Architecture 226

Dynatrace

OCTOBER 4, 2022

The only way to address these challenges is through observability data — logs, metrics, and traces. This purpose-built data lakehouse approach for observability, security, and AIOps offers schema-less ingestion of various data types, including logs, metrics, traces, user data, business data, and topology data. Event severity.

Analytics 180

Analytics Software Software Storage 180

Smashing Magazine

NOVEMBER 2, 2021

Creating A Magento PWA: Customizing Themes vs. Coding From Scratch. Creating A Magento PWA: Customizing Themes vs. Coding From Scratch. Moreover, Garten-und-Freizeit, a German e-commerce store that sells furniture, saw an amazing improvement in their metrics after getting a PWA. Alex Husar. 2021-11-02T12:00:00+00:00.

Code 75

Code Cache Retail Mobile 75