Dynatrace

SEPTEMBER 28, 2021

The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way. DevOps metrics to help you meet your DevOps goals. Like any IT or business project, you’ll need to track critical key metrics. Here are nine key DevOps metrics and DevOps KPIs that will help you be successful.

DevOps 205

DevOps Metrics Traffic Efficiency 205

Dynatrace

MAY 17, 2023

That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. In addition to tracing, observability also defines two other key concepts, metrics and logs. When software runs in a monolithic stack on on-site servers, observability is manageable enough. What is OpenTelemetry?

Metrics 185

Metrics Open Source Traffic Cache 185

Dynatrace

JULY 23, 2020

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. In many cases, metric behavior changes over time.

Metrics 215

Metrics Innovation Strategy Monitoring 215

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. Take the example of Amazon Virtual Private Cloud (VPC) flow logs, which provide insights into the IP traffic of your network interfaces. Managing this change is difficult.

Cloud 184

Cloud Lambda AWS Analytics 184

Dynatrace

FEBRUARY 1, 2024

For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience. To overcome these complex issues, teams must quickly find root causes among numerous alerts and metrics. For the most granular metrics and network insights, OneAgent is the optimal choice.

Infrastructure 186

Infrastructure Metrics Network Monitoring 186

Dynatrace

NOVEMBER 6, 2023

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. Moreover, edge environments can be highly dynamic, with devices frequently joining and leaving the network.

Retail 264

Retail Analytics Storage Cloud 264

Dynatrace

APRIL 20, 2020

Infrastructure monitoring includes automatic visibility, problem detection, and smart alerting across virtual networks, virtual infrastructure, and container orchestration. Backing services like Kafka and ActiveMQ are perfect examples—both technologies are queueing services that are written in Java and can be monitored via JMX.

Infrastructure 151

Infrastructure Metrics Java Virtualization 151

Dynatrace

JUNE 5, 2023

The F5 BIG-IP Local Traffic Manager (LTM) is an application delivery controller (ADC) that ensures the availability, security, and optimal performance of network traffic flows. By analyzing metric anomalies between hosts and load balancers, Davis AI can quickly resolve problems, thus expediting the process.

Traffic 199

Traffic Virtualization Metrics Monitoring 199

Dynatrace

MARCH 5, 2021

For example, you might be using: any of the 60+ StatsD compliant client libraries to send metrics from various programming languages directly to Dynatrace; any of the 200+ Telegraf plugins to gather metrics from different areas of your environment; Prometheus, as the dominant metric provider and sink in your Kubernetes space.

Metrics 218

Metrics Network Monitoring Infrastructure 218

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace news.

AWS 137

AWS Metrics IoT Storage 137

Dynatrace

MARCH 22, 2021

As a Network Engineer, you need to ensure the operational functionality, availability, efficiency, backup/recovery, and security of your company’s network. As you might know, we recently simplified observability for all custom metrics by making it possible to ingest hundreds of custom data sources into Dynatrace.

Metrics 245

Metrics Network Infrastructure Traffic 245

Dynatrace

MARCH 18, 2024

For example, Amazon Web Services (AWS) charges for data transfer between Amazon EC2 instances within the same region. For example, poorly written code can consume a lot of resources, or an application can make unnecessary calls to cloud services. Unnecessary data transfer. On-demand payment agreement. Suboptimal architecture design.

Best Practices 237

Best Practices Strategy Cloud AWS 237

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace news.

AWS 133

AWS Metrics IoT Storage 133

Dynatrace

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. AWS Transit Gateway is a service offering from Amazon Web Services that connects network resources via a centralized hub.

AWS 223

AWS Transportation Network Traffic 223

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 175

Metrics Monitoring Database Network 175

Dynatrace

JUNE 28, 2019

As a full stack monitoring platform, Dynatrace collects a huge number of metrics for each OneAgent monitored host in your environment. Depending on the types of technologies you’re running on your individual hosts, the average number of metrics is about 500 per computational node. New metric identifiers and structure.

Metrics 102

Metrics Efficiency Monitoring Azure 102

CSS Wizardry

AUGUST 24, 2022

I can reload the exact same page under the exact same network conditions over and over, and I can guarantee I will not get the exact same, say, DOMContentLoaded each time. For the sake of ease, I’m going to use Largest Contentful Paint (LCP) as the example. For example, continuing our task to reduce CSS size: performance.

Benchmarking 212

Benchmarking Metrics Cache Network 212

CSS Wizardry

JUNE 30, 2023

I never thought I’d write an article in defence of DOMContentLoaded , but here it is… For many, many years now, performance engineers have been making a concerted effort to move away from technical metrics such as Load , and toward more user-facing, UX metrics such as Speed Index or Largest Contentful Paint. Or are they…?

Metrics 326

Metrics Google Monitoring Analytics 326

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. 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 252

AWS Efficiency Azure Cloud 252

Dynatrace

FEBRUARY 28, 2024

Three steps in exploratory data analytics: Discover, browse, explore Grail captures heterogeneous data from across the network in one place while retaining its context and semantic details, which eliminates the limitations of traditional databases. Start by asking yourself what’s there, whether it’s logs, metrics, or traces.

Analytics 215

Analytics Metrics Media Monitoring 215

Dynatrace

JANUARY 11, 2023

Continuous cloud monitoring with automation provides clear visibility into the performance and availability of websites, files, applications, servers, and network resources. These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards.

Cloud 227

Cloud Monitoring Best Practices Infrastructure 227

Dynatrace

APRIL 15, 2024

For example, government agencies use an array of cloud platforms spanning 12 environments on average. In contrast, observability enables teams to understand a system’s internal state by analyzing the data it generates, including logs, metrics, and traces. The critical Log4Shell vulnerability is a recent example.

Infrastructure 214

Infrastructure Efficiency Government Transportation 214

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. The growing amount of data processed at the network edge, where failures are more difficult to prevent, magnifies complexity. The following three metrics are commonly used to measure success: Service-level agreements (SLAs).

Best Practices 227

Best Practices DevOps Latency Metrics 227

Dynatrace

JULY 11, 2023

Example forecast of remaining disk capacity with upper/lower bounds and an anticipated value. The example workflow below is triggered every Monday at 8:00 AM to provide a capacity report for all the disks that will likely run out of space within the next week. In this example, two parallel actions are defined.

Metrics 209

Metrics Games Analytics Network 209

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings.

Monitoring 209

Monitoring Social Media IoT Metrics 209

Dynatrace

JULY 25, 2023

This expansion of Davis AI complements the proven Dynatrace predictive AI model (for example, forecasting and anomalies) and our causal AI model (for example, determination of a problem’s root cause, security risks, user impact, and steering automation), which are at the core of the Dynatrace platform.

Best Practices 237

Best Practices Analytics Metrics Code 237

Dynatrace

APRIL 23, 2019

However, understanding the performance of different application types requires an emphasis on different performance metrics, that is, key performance metrics. For many traditional web applications , User action duration is considered the best metric available for web-performance optimization.

Metrics 102

Metrics Monitoring Performance Speed 102

Dynatrace

MAY 19, 2022

Example 1: Architecture boundaries. For example, the mobile device talked to an API gateway, and that team was not responsible for all the details of the back-end systems. This greatly reduced the number of metrics to manage and provided a more comprehensive picture of what was behind their primary reliability service-level objective.

Automotive 274

Automotive Latency Architecture Azure 274

Dynatrace

AUGUST 1, 2022

Famous examples include Redis , PostgreSQL , MySQL, and MongoDB. For example, let’s say you have an idea for a new social network and decide to use Kubernetes as your container management platform. Unexpectedly, a famous influencer notices your social network and promotes it all over their other channels.

Storage 192

Storage Database Network Tuning 192

The Netflix TechBlog

JUNE 14, 2023

So, we relied on higher-level metrics-based testing: AB Testing and Sticky Canaries. To determine customer impact, we could compare various metrics such as error rates, latencies, and time to render. We spent the next few months diving into these high-level metrics and fixing issues such as cache TTLs, flawed client assumptions, etc.

Traffic 353

Traffic Latency Cache Metrics 353

Dynatrace

APRIL 13, 2023

As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging. for example, query web server logs from the past year for specific attack strings containing ). Incomplete. Skills and expertise.

Analytics 190

Analytics Java Infrastructure Cloud 190

Dynatrace

MAY 17, 2023

In the first part of this three-part series, The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces with OpenTelemetry , we talked about observability and how OpenTelemetry works to instrument applications across different languages and platforms. api/v2/otlp/v1/traces'; $metricsURL = $baseURL. '/api/v2/otlp/v1/metrics';

Transportation 192

Transportation Metrics Best Practices Code 192

Dynatrace

JUNE 7, 2023

IT teams can’t see into the internal state of Kubernetes containers , so they often collect a wide variety of telemetry data — such as logs, metrics, and distributed traces — to compensate for this lack of visibility. Networking. Kubernetes provides a basic networking model.

Open Source 212

Open Source Social Media Infrastructure Operating System 212

Rigor

JUNE 4, 2019

With so many different metrics available to measure dozens of different aspects of a web page, it can be a struggle to know how best to quantify that page’s overall web performance. Metrics – Thick as Pea Soup. In the early days of performance monitoring, there were far fewer metrics than we have today.

Metrics 89

Metrics Performance Media Google 89

Dynatrace

SEPTEMBER 8, 2022

Metrics, logs , and traces make up three vital prongs of modern observability. Together with metrics, three sources of data help IT pros identify the presence and causes of performance problems, user experience issues, and potential security threats. For context, teams collect metrics for further analysis and indexing.

Systems 189

Systems Cloud Analytics DevOps 189

Dynatrace

SEPTEMBER 21, 2023

The app’s advanced algorithms and real-time data analytics translate utilization metrics into their CO2 equivalent (CO2e). These metrics include CPU, memory, disk, and network I/O. This analysis provides us with a holistic view of our multicloud environment’s carbon emissions and identifies major emissions sources.

Energy 239

Energy Cloud Airlines Strategy 239

CSS Wizardry

OCTOBER 16, 2023

Compressing them over the network: Which compression algorithm, if any, will we use? In our specific examples above, the one-big-file pattern incurred 201ms of latency, whereas the many-files approach accumulated 4,362ms by comparison. Connection One thing we haven’t looked at is the impact of network speeds on these outcomes.

Cache 291

Cache Latency Strategy Speed 291