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 221

Metrics Mobile IoT Monitoring 221

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 207

Metrics Innovation Strategy Monitoring 207

Dynatrace

MARCH 6, 2024

Effortlessly analyze IBM i Performance with the new Dynatrace extension Dynatrace has created a new version of its popular extension that is faster, offers better interactive pages, and includes more metrics, metadata, and analytics without having to install anything on your mainframe infrastructure. It’s all monitored remotely !

Monitoring 231

Monitoring Infrastructure Metrics Analytics 231

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. With this out-of-the-box support for scalable data ingest, log data is immediately available to your teams for troubleshooting and observability, investigating security issues, or auditing.

Cloud 214

Cloud Lambda AWS Analytics 214

Dynatrace

NOVEMBER 9, 2023

Get ready for Nutanix insights: Here’s how Dynatrace helps The extension comes with a comprehensive set of essential metrics that can quickly identify the root causes of performance issues, saving time and minimizing disruptions. With Dynatrace, Nutanix metrics can be leveraged for various use cases.

Virtualization 189

Virtualization Storage Metrics Monitoring 189

Dynatrace

AUGUST 5, 2020

Dynatrace Synthetic Monitoring allows you to proactively monitor the availability of your public as well as your internal web applications and API endpoints from locations around the globe or important internal locations such as branch offices. Ensure better user experience with paint-focused performance metrics. Dynatrace news.

Metrics 211

Metrics Monitoring Performance Benchmarking 211

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 200

DevOps Metrics Engineering Analytics 200

Dynatrace

MARCH 20, 2024

Infrastructure health The underlying infrastructure’s health directly impacts application availability and performance. Changes in application code or configurations can impact performance metrics, affecting user experience and application functionality. Usually, Keptn does not act in isolation during a deployment.

Open Source 264

Open Source Hardware DevOps Infrastructure 264

Dynatrace

MARCH 14, 2023

Available directly from the AWS Marketplace , Dynatrace provides full-stack observability and AI to help IT teams optimize the resiliency of their cloud applications from the user experience down to the underlying operating system, infrastructure, and services. How does Dynatrace help?

AWS 278

AWS Lambda Serverless Virtualization 278

Dynatrace

SEPTEMBER 5, 2023

Drill down into further details You can review the availability and performance of high availability replicas and AlwaysOn groups in SQL Server. With our extension framework, you can access the most relevant metrics and logs, gaining deeper insights into your database’s performance.

Database 197

Database Metrics Monitoring Servers 197

The Netflix TechBlog

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226

Systems Media Cache Open Source 226

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 197

Government Analytics Benchmarking Storage 197

The Netflix TechBlog

JUNE 1, 2023

This tier extended existing infrastructure by adding new backend components and a new remote call to our ads partner on the playback path. New content or national events may drive brief spikes, but, by and large, traffic is usually smoothly increasing or decreasing. We used Elasticsearch dashboards to analyze results.

Traffic 342

Traffic Best Practices Systems Testing 342

Dynatrace

AUGUST 30, 2023

Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. These CSI pods provide a unique way of solving a handful of infrastructure problems. Agent logs security.

Google 216

Google Cloud Innovation Infrastructure 216

Dynatrace

APRIL 7, 2023

Now, customers can use streamed responses to build more responsive applications by sending partial responses to clients as the response becomes available. Despite being serverless, the function still requires infrastructure on which to run. This enhancement allows AWS users to stream response payloads back to clients.

Lambda 212

Lambda AWS Serverless Latency 212

Dynatrace

JANUARY 31, 2024

Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration. Estimates show that NVIDIA, a semiconductor manufacturer, could release 1.5 million AI server units annually by 2027, consuming 75.4+

Cache 201

Cache Azure Infrastructure Monitoring 201

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 258

Cloud Azure Analytics AWS 258

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 211

Open Source Analytics Metrics Cloud 211

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. By analyzing past incidents and performance metrics, predictive analytics helps SREs and DevOps engineers identify areas for improvement. Continuous improvement. Increased customer satisfaction.

Artificial Intelligence 260

Artificial Intelligence DevOps Analytics Engineering 260

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.

Azure 223

Azure Monitoring Operating System Virtualization 223

The Netflix TechBlog

JUNE 7, 2021

Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices. The Flow Exporter also publishes various operational metrics to Atlas. So how do we ingest and enrich these flows at scale ?

Network 325

Network Transportation AWS Cloud 325

Dynatrace

APRIL 21, 2022

Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure. With auto-adaptive baselining in response to the specific requirements of your environment, Davis® only raises alerts for important events. MS SQL Services (via WMI). SAP HanaDB. Get started now!

Database 239

Database DevOps Analytics Servers 239

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 211

Metrics Network Monitoring Infrastructure 211

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 231

Best Practices Analytics Metrics Code 231

Dynatrace

FEBRUARY 1, 2024

But organizations must also be aware of the pitfalls of AI: security and compliance risks, biases, misinformation, and lack of insight into critical metrics (including availability, code development, infrastructure, databases, and more). In this example, there is a suspicious increase in scripting events.

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

Dynatrace

NOVEMBER 2, 2023

Enhanced customer confidence through excellent service availability. Unified observability is the ability to know how systems and infrastructure are performing based on the data they generate, such as logs, metrics, and traces. Availability Observability helps banks meet availability SLAs for mission-critical services.

Cloud 217

Cloud Infrastructure Strategy Hardware 217

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. Reliability.

Software 259

Software Software Benchmarking Latency 259

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications. What is Lambda?

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

SEPTEMBER 8, 2022

Most infrastructure and applications generate logs. 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. What else did the initial event affect?

Systems 183

Systems Cloud Analytics DevOps 183

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 214

AWS Transportation Network Traffic 214

Dynatrace

APRIL 13, 2023

Log auditing—and its investigative partner, log forensics—are becoming essential practices for securing cloud-native applications and infrastructure. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 182

Analytics Java Infrastructure Cloud 182

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. They also care about infrastructure: SREs require system visibility and incident management. Dynatrace enables teams to specify SLOs, such as latency, uptime, availability, and more.

Development 258

Development DevOps Programming Cloud 258

Dynatrace

SEPTEMBER 13, 2023

Dynatrace AutomationEngine workflows automate release validation using AWS Well-Architected pillars With Dynatrace, you can create workflows that automate various tasks based on events, schedules or Davis problem triggers. Workflows are powered by a core platform technology of Dynatrace called the AutomationEngine.

AWS 243

AWS Efficiency Azure Cloud 243

Dynatrace

SEPTEMBER 22, 2021

Famous for providing out-of-the-box solutions, automation, and smart context across the entire application infrastructure with our unique Davis AI, Dynatrace now delivers two new extensions to assist teams that face the challenges associated with operating self-managed OCP installations. Control plane.

Availability 167

Availability Best Practices Infrastructure Monitoring 167

Dynatrace

NOVEMBER 14, 2023

Imagine that instead of development teams fending for themselves amidst a sea of tools and infrastructure, well-defined and enterprise-wide templates are provided for the development of all new product services. In many cases, you want to retrieve the logs, metrics, or traces of a particular version, which is unknown upfront.

Government 190

Government Best Practices DevOps Engineering 190

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. We know how crucial this information can be when it comes to reporting, analyzing long-term trends, or identifying problem entities in your infrastructure.

Metrics 244

Metrics Monitoring Efficiency Availability 244

Dynatrace

JANUARY 16, 2023

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes moved to the cloud in 2022.

Open Source 340

Open Source Java Operating System Programming 340