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 245

Cloud Lambda AWS Analytics 245

Dynatrace

FEBRUARY 21, 2024

Automating quality gates is ideal, as it minimizes manually checking and validating key metrics throughout the SDLC. By actively monitoring metrics such as error rate, success rate, and CPU load, quality gates instill confidence in teams during software releases. Fewer expensive fixes. But how do they function in practice?

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Speed Software Software Latency 200

Dynatrace

NOVEMBER 3, 2020

Welcome to the blog series where we give you a deeper dive into the latest awesomeness around Dynatrace : how we bring scale, zero configuration, automatic AI driven alerting, and root cause analysis to all your custom metrics, including open source observability frameworks like StatsD, Telegraf, and Prometheus.

Metrics 154

Metrics Open Source Monitoring Traffic 154

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 205

Metrics Innovation Strategy Monitoring 205

DZone

JUNE 21, 2023

Monitoring and observability are two key concepts that facilitate this process, offering valuable visibility into the health and performance of systems. In this article, we will explore the differences between monitoring and observability, provide examples to illustrate their applications and highlight their respective benefits.

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DevOps Systems Monitoring Metrics 324

Dynatrace

APRIL 20, 2020

To provide you with more value when monitoring hosts in infrastructure mode, we’re extending our infrastructure mode with a range of metrics that have until now only been available in full-stack mode. Until now JMX and PMI extensions were only available in full-stack monitoring mode. Monitor additional metrics.

Infrastructure 150

Infrastructure Metrics Java Virtualization 150

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. In this example, “Reverse proxy” and “Front-end server” are clearly in the critical path.

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Software Software Benchmarking Latency 256

Dynatrace

APRIL 21, 2021

Metrics that offer measurable, repeatable insight into the user experience from the moment they arrive on a website from a mobile or desktop device. Great user experiences start with Core Web Vitals (CWVs) — a set of metrics defined by Google to help measure user experience at scale. When do these metrics matter?

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Metrics Google Website Speed 133

Dynatrace

MARCH 18, 2024

For example, Amazon Web Services (AWS) charges for data transfer between Amazon EC2 instances within the same region. Flexible pricing models that offer discounts based on commitment or availability can greatly reduce cloud waste. This includes spot instances such as unused cloud capacity that’s available at a discounted price.

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Best Practices Strategy Cloud AWS 225

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 process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

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AWS Efficiency Azure Cloud 240

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. Host technologies in use with status information and links to processes.

Infrastructure 175

Infrastructure Metrics Network Monitoring 175

Dynatrace

MARCH 20, 2024

Deploying software in Kubernetes is often viewed as a straightforward process—just use kubectl or a GitOps solution like ArgoCD to deploy a YAML file, and you’re all set, right? Infrastructure health The underlying infrastructure’s health directly impacts application availability and performance.

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Open Source Hardware DevOps Infrastructure 261

Dynatrace

MAY 31, 2023

Keeping pace with modern digital transformation requires ensuring that applications are responsive, resilient, and always available amid increased complexity. As a result, site reliability has emerged as a critical success metric for many organizations. That’s why good communication between SREs and DevOps teams is important.

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Best Practices DevOps Latency Metrics 216

Dynatrace

JANUARY 31, 2024

For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Using the example of a chatbot, once the user submits a natural language prompt, RAG summarizes that prompt using semantic data. Consequently, AI model drift and hallucinations emerge as primary concerns.

Cache 199

Cache Azure Infrastructure Monitoring 199

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.

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Best Practices Analytics Metrics Code 229

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. Business-critical applications typically rely on F5 for availability and success. Example of an automatically generated dashboard for F5 instances.

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Traffic Virtualization Metrics Monitoring 187

Dynatrace

SEPTEMBER 22, 2021

Controller Manager: Runs controllers such as the node controller responsible for handling node availability. Of course, you can also create your own custom alerts based on any metric displayed on a dashboard. For example, for an etcd cluster to work properly, there needs to be one leader that takes care of keeping the cluster in sync.

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Availability Best Practices Infrastructure Monitoring 164

The Netflix TechBlog

MAY 4, 2023

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. It provides a good read on the availability and latency ranges under different production conditions.

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Traffic Latency Tuning Systems 339

Dynatrace

MARCH 16, 2023

Enterprises now have access to myriad metrics they can track and measure, but an abundance of choice doesn’t equal actionable insight. Indeed, 54% of SREs say they handle too many metrics, making it increasingly difficult to find the most relevant ones for a particular service, according to the Dynatrace State of SRE Report.

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DevOps Latency Metrics Traffic 208

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. In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

FEBRUARY 27, 2024

These are all metrics Dynatrace collects directly out of the box. All of this data can be bubbled up to a unified dashboard.” Users can then connect this dashboard data with underlying technical data, such as service-level agreement metrics. We can connect the root cause to the process owner.”

Best Practices 228

Best Practices Metrics AWS Innovation 228

Dynatrace

MARCH 5, 2021

Davis automatically analyzes and alerts on many important anomalies that can occur within your IT environment, such as host, process or service outages. How can you ensure that the measurements are always available and healthy? Alert on unhealthy metric states and missing data. Easily alert on the outage of a custom data stream.

Metrics 208

Metrics Network Monitoring Infrastructure 208

Dynatrace

MAY 19, 2022

Every organization’s goal is to keep its systems available and resilient to support business demands. However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. Example 1: Architecture boundaries. They knew a different team supported each step in the process.

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Automotive Latency Architecture Azure 264

Dynatrace

AUGUST 16, 2023

SLOs are specifically processed metrics that help businesses balance breakthroughs with reliability. SLO monitoring is an IT process that tracks microservices architecture health based on metrics that express specific performance targets. To manage this crucial aspect, many companies adopt service level objectives (SLOs).

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Monitoring DevOps Metrics Innovation 179

Dynatrace

FEBRUARY 2, 2022

For example, the IT team of a bank wants to ensure that for a trailing 30-day period there is 99.9% service availability with <50ms latency for an application with no revenue impact. To avoid this, start the SLO discussion early in the design process. Let’s take service availability for example.

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DevOps Metrics Best Practices Latency 189

Dynatrace

DECEMBER 21, 2023

And while these examples were resolved by just asking a few questions, in many cases, the answers are more elusive, requiring real-time and historical drill-downs into the processes and dependencies specific to each host. A few examples: Reduce roundtrips between services (for example, the N+1 query pattern).

Cloud 202

Cloud Energy Best Practices Cache 202

Dynatrace

DECEMBER 2, 2021

And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets? For example, an SLA between a web host provider and customer can guarantee 99.95% uptime for all web services of a company over a year. For example, if your SLO guarantees 99.5% But what are SLOs?

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

Dynatrace

FEBRUARY 2, 2023

For example, to monitor non-compute resources in Azure, many solutions require special components configured separately or even hosted by the customer. This process is often slow because component setup takes time. You no longer need to install and configure separate components for Azure monitoring (for example, Dynatrace ActiveGate).

Azure 219

Azure Cloud Monitoring Metrics 219

Dynatrace

SEPTEMBER 1, 2022

To measure service quality, IT teams monitor infrastructure, applications, and user experience metrics, which in turn often support service level objectives (SLO)s. But these metrics and SLOs are only indirectly connected to business KPIs, which often leads to misplaced priorities, ineffective collaboration, and lost business opportunities.

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Analytics Ecommerce Metrics Innovation 170

Dynatrace

FEBRUARY 24, 2022

We recently extended the pro-active self-monitoring capabilities of Dynatrace Managed, making it easy to ensure the highest availability and proactive management of such installations. The Local self-monitoring environment collects and aggregates all the self-monitoring metrics that are captured from the other environments on the cluster.

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Monitoring Metrics Analytics Processing 188

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. “Then, I add a breakpoint.

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Development DevOps Programming Cloud 255

Dynatrace

NOVEMBER 9, 2023

However, they can also be used to monitor optimization processes effectively. By continuously evaluating CPU, memory usage, and capacity, and comparing these available resources to the requested and utilized memory by Kubernetes workloads, potential waste of resources becomes visible, revealing opportunities for countermeasures.

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Efficiency Monitoring Best Practices Open Source 267

The Netflix TechBlog

MARCH 10, 2023

Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case. Following is the example of tables primary and clustering keys defined: Figure 2. For asynchronous processing, events are sent to Apache Kafka topics to be processed.

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Media Traffic Processing Design 237

Dynatrace

NOVEMBER 3, 2020

A few months ago we wrote about how you can scale your API operations with our version 2 APIs , by showing off the Dynatrace Metrics API v2 and the Monitored entities API v2. All filters and problem meta-information that are available in our own problem list are now seamlessly available through the public Problems REST API v2.

Metrics 243

Metrics Monitoring Efficiency Availability 243

The Netflix TechBlog

OCTOBER 7, 2021

However, Netflix is available for streaming on thousands of types of devices and it is powered by hundreds of micro-services which are deployed independently, making it extremely challenging to comprehensively test internally. An example of this is Netflix’s video player or the TV UI javascript package.

Metrics 197

Metrics Mobile Testing Strategy 197

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. We’ve just enhanced Dynatrace OneAgent with an open metric API. Here’s a quick overview of what you can achieve now that the Dynatrace Software Intelligence Platform has been extended to ingest third-party metrics. Dynatrace news.

Open Source 250

Open Source Metrics Analytics Tuning 250

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. It requires an understanding of cloud architecture and distributed systems, with the goal of automating processes. Incomplete.

Analytics 179

Analytics Java Infrastructure Cloud 179