Dynatrace

JUNE 3, 2022

Whenever a performance problem is flagged, Infrastructure and Operations (I&O) practitioners strive to resolve the issue as soon as possible by identifying the root cause, understanding the impact, obtaining the relevant details, and fixing the issue within the shortest possible timeframe—the meantime to resolution (MTTR). Dynatrace news.

Metrics 224

Metrics Mobile IoT Monitoring 224

Dynatrace

NOVEMBER 16, 2021

Dynatrace has recently extended its Kubernetes operator by adding a new feature, the Prometheus OpenMetrics Ingest , which enables you to import Prometheus metrics in Dynatrace and build SLO and anomaly detection dashboards with Prometheus data. Here we’ll explore how to collect Prometheus metrics and what you can achieve with them.

Metrics 200

Metrics Infrastructure Open Source Database 200

Dynatrace

FEBRUARY 28, 2024

Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications. VAPO is available in both Microsoft Azure and AWS. We’re using automation to kick off scaling events,” he said. “We

Monitoring 182

Monitoring Artificial Intelligence Performance Healthcare 182

Dynatrace

MARCH 11, 2020

In many cases, events are generated as these workloads go through different phases of their life cycles. For instance, events appear when the scheduler performs actions to bring workloads back to a desired state. For better or worse, every Kubernetes user learns about the CrashLoopBackOff and ImagePullBackOff events.

Metrics 228

Metrics Analytics Monitoring Cloud 228

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 210

Metrics Innovation Strategy Monitoring 210

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 203

DevOps Metrics Engineering Analytics 203

Dynatrace

NOVEMBER 9, 2023

Nutanix overview dashboard The extension automatically gathers real-time performance data from your Nutanix clusters to monitor resource usage, cluster health, and more, all in one place. Dynatrace, in tandem with the Nutanix extension, simplifies performance monitoring and makes issue identification and resolution more efficient.

Virtualization 193

Virtualization Storage Metrics Monitoring 193

Dynatrace

MARCH 6, 2024

Gaining knowledge about IBM i performance can be a challenging and pricey task. Additionally, certain tools require auxiliary services to gather performance data before it can be examined and queried. It then collects performance data using existing database services running on your system. It’s all monitored remotely !

Monitoring 234

Monitoring Infrastructure Metrics Analytics 234

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Causal AI is a different approach that goes beyond event correlations to understand the underlying reasons for trends and patterns. It uses fault-tree analysis to identify the component events that cause outcomes at a higher level.

Government 200

Government Analytics Benchmarking Storage 200

Dynatrace

MARCH 14, 2023

Amazon’s new general-purpose Linux for AWS is designed to provide a secure, stable, and high-performance execution environment to develop and run cloud applications. This is done by detecting availability and performance problems in real time across an entire technology stack while presenting teams with answers — not alert storms.

AWS 281

AWS Lambda Serverless Virtualization 281

Dynatrace

SEPTEMBER 5, 2023

Additionally, monitoring allows for proactive maintenance and optimization, leading to improved system performance and user experience. Database monitoring with topology context With Dynatrace, you can easily monitor the performance of your database layer, even in complex environments. What’s next?

Database 201

Database Metrics Monitoring Servers 201

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. They also need a high-performance, real-time analytics platform to make that data actionable. As cloud complexity grows, it brings more volume, velocity, and variety of log data.

Cloud 217

Cloud Lambda AWS Analytics 217

Dynatrace

OCTOBER 14, 2019

But sometimes you might have a scenario where simple access to log file content is not enough—you need to create a metric for log entries that contain “Error,” for instance, or something more complex like “Error and not Warning.” In such cases, you need the ability to turn log data into custom metrics. That’s it, you’re done!

Metrics 117

Metrics Monitoring AWS Availability 117

Dynatrace

MARCH 27, 2024

Notebooks are a perfect tool to understand and perform an in-depth analysis of AWS AppFabric logs, thanks to the powerful Dynatrace query language, DQL. Running an initial quantitative analysis helps to better understand the log data, starting with which SaaS applications we are getting logs from, and how many events.

AWS 245

AWS Analytics Government Monitoring 245

Dynatrace

DECEMBER 9, 2020

Connection pools are also a great way to improve performance. New extensions enable AI-powered monitoring of connection pool performance. Furthermore, with this update you can: Get insights into connection pool metrics in context with the applications and services that use them.

Traffic 138

Traffic Performance Database Metrics 138

Dynatrace

SEPTEMBER 13, 2023

The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

MARCH 20, 2024

There are a lot of potential problems that can prevent the successful deployment of a Kubernetes application, such as: Resource constraints In Kubernetes, managing resources efficiently is crucial to prevent performance bottlenecks and application failures. Verifying that there are no open problems within your cluster.

Open Source 267

Open Source Hardware DevOps Infrastructure 267

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 215

Open Source Analytics Metrics Cloud 215

Dynatrace

FEBRUARY 1, 2024

Any problem, such as a simple software update overburdening a critical database, can cause a ripple effect that degrades the performance of dependent services or applications. To overcome these complex issues, teams must quickly find root causes among numerous alerts and metrics. What’s next?

Infrastructure 181

Infrastructure Metrics Network Monitoring 181

Dynatrace

AUGUST 16, 2023

SLOs are specifically processed metrics that help businesses balance breakthroughs with reliability. Monitoring performance against these objectives using AI is where the true value lies, based on establishing error budgets and monitoring an error budget burn rate. What is SLO monitoring? And what is an error budget burn rate?

Monitoring 185

Monitoring DevOps Metrics Innovation 185

Dynatrace

FEBRUARY 1, 2024

From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. Performance analytics Dynatrace hypermodal AI empowers development teams to dig deep into database statements and remediate issues quickly. The first risk is not adopting AI at all.

Artificial Intelligence 186

Artificial Intelligence Analytics Efficiency Database 186

Dynatrace

APRIL 7, 2023

Dynatrace is a launch partner in support of AWS Lambda Response Streaming , a new capability enabling customers to improve the efficiency and performance of their Lambda functions. Now, customers can use streamed responses to build more responsive applications by sending partial responses to clients as the response becomes available.

Lambda 215

Lambda AWS Serverless Latency 215

Dynatrace

NOVEMBER 29, 2022

Today, AWS Compute Optimizer has expanded its metric ingest beyond Cloudwatch, which will be announced at the Amazon re:Invent 2022 conference in Las Vegas November 28-December 2. AWS Compute Optimizer now includes third-party metrics to further power user insights surrounding memory usage in Amazon Elastic Cloud Compute (EC2) Instances.

AWS 207

AWS Metrics Cloud Programming 207

Dynatrace

APRIL 21, 2022

Dynatrace Application Performance Management (APM) has long provided multiple options for database monitoring, including deep insights into code and statements, service level visibility, connection pool monitoring, and more. Yet, most modern applications rely on proper database performance to provide users with a flawless user experience.

Database 241

Database DevOps Analytics Servers 241

Dynatrace

SEPTEMBER 8, 2022

In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. Metrics, logs , and traces make up three vital prongs of modern observability. Two major benefits of properly managed logs are their availability and searchability.

Systems 185

Systems Cloud Analytics DevOps 185

Dynatrace

JULY 25, 2023

Dynatrace applies these techniques to the broadest set of modalities in the market, including the data types of metrics, traces, logs, behavior, topology, dependencies, events, and more, with unmatched precision for precise predictions, accurate determinations, and meaningful insights. Start your free trial now!

Best Practices 234

Best Practices Analytics Metrics Code 234

Dynatrace

NOVEMBER 6, 2023

When an incident occurs, developers need to know what data to look at, where the incident occurred, and other relevant metrics. In this example, Grabner saw that the adservice workload was running on EKS and could see the relevant metrics, logs, services, events, error logs, and more.

Development 262

Development DevOps Programming Cloud 262

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. By identifying subtle deviations in system behavior, engineers can take preemptive measures to avert potential downtime, performance issues, or security threats. Proactive resource allocation. Capacity planning. Continuous improvement.

Artificial Intelligence 263

Artificial Intelligence DevOps Analytics Engineering 263

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. When organizations implement SLOs, they can improve software development processes and application performance. The performance SLO needs a custom SLI metric, which you can configure as follows.

Software 263

Software Software Benchmarking Latency 263

Dynatrace

JULY 25, 2022

A full list of metrics can be found here and include dimensions such as the following: Packets. When it comes to logs and metrics, the Dynatrace platform provides direct access to the log content of all mission-critical processes. Problems have defined lifespans and are updated in real time with all incoming events and findings.

AWS 218

AWS Transportation Network Traffic 218

The Netflix TechBlog

MARCH 10, 2023

Production assets operations are performed in parallel with older data reprocessing without any service downtime. To avoid dependency on data store limitations, we designed our data tables such that the data can be read with pagination in a performant way. Instead we use Elasticsearch to search those assets which are more performant.

Media 237

Media Traffic Processing Design 237

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. Logs and events play an essential role in this mix; they include critical information which can’t be found anywhere else, like details on transactions, processes, users and environment changes.

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

MAY 24, 2023

Today, it’s a generally available container host for AKS and AKS-HCI. Tracking the availability, health, and resource utilization of the underlying Kubernetes infrastructure is essential for several reasons. Visibility of the lifecycle of k8s objects (pods, services, nodes) and associated events is needed. Performance.

Azure 226

Azure Monitoring Operating System Virtualization 226

Speed Curve

DECEMBER 13, 2023

So I thought it would be fun to spend some time poking around behind the scenes and give the site a holiday performance audit. Background For this performance audit, I looked at this synthetic test for the LEGO.com home page. (We The performance team is clearly doing a good job of fighting page bloat. Are images optimized?

Performance 67

Performance Retail Benchmarking Ecommerce 67

The Netflix TechBlog

NOVEMBER 14, 2023

Many metrics in Netflix’s financial reports are powered and reconciled with efforts from our team! Using fixed lookback windows to always reprocess data, assuming that most late-arriving events will occur within that window. At Netflix, our backend microservices continuously generate real-time event data that gets streamed into Kafka.

Data Engineering 264

Data Engineering Engineering Processing Games 264

The Netflix TechBlog

MARCH 7, 2024

These integrations are implemented through Metaflow’s extension mechanism which is publicly available but subject to change, and hence not a part of Metaflow’s stable API yet. Occasionally, these use cases involve terabytes of data, so we have to pay attention to performance.

Systems 226

Systems Media Cache Open Source 226

The Netflix TechBlog

MAY 4, 2023

The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration. These include Quality-of-Experience(QoE) measurements at the customer device level, Service-Level-Agreements (SLAs), and business-level Key-Performance-Indicators(KPIs).

Traffic 339

Traffic Latency Tuning Systems 339