Dynatrace

NOVEMBER 20, 2024

As organizations adopt more cloud-native technologies, the risk—and consequences—of cyberattacks are also increasing. The Dynatrace platform has been recognized for seamlessly integrating with the Microsoft Sentinel cloud-native security information and event management ( SIEM ) solution.

Best Practices 274

Best Practices Innovation Azure Cloud 274

Dynatrace

APRIL 7, 2022

Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Here’s how it works. of Micrometer.

Metrics 130

Metrics Java Latency Cache 130

Dynatrace

APRIL 7, 2022

Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Here’s how it works. of Micrometer.

Metrics 130

Metrics Java Latency Cache 130

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations. Grail enables 100% precision insights into all stored data.

Analytics 200

Analytics Infrastructure Storage Architecture 200

Dynatrace

MARCH 29, 2023

Today, Dynatrace is announcing that it has successfully achieved Google Cloud Ready – AlloyDB designation in support of an extended integration to Google Cloud’s AlloyDB for PostgreSQL. Google Cloud Ready – AlloyDB is a new designation for the solutions of Google Cloud’s technology partners that integrate with AlloyDB.

Google 231

Google Metrics Cloud Analytics 231

Dynatrace

APRIL 28, 2021

Answering this question requires careful management of release risk and analysis of lots of data related to each release version of your software. Answers provided by built-in Dynatrace Release Analysis. Dynatrace currently supports integration with Jira (on-premise and cloud), GitHub, GitLab, and ServiceNow.

Software 243

Software Software Strategy Metrics 243

Dynatrace

FEBRUARY 15, 2023

SREs face ever more challenging situations as environment complexity increases, applications scale up, and organizations grow: Growing dependency graphs result in blind spots and the inability to correlate performance metrics with user experience. Additionally, you can easily use any previously defined metrics and SLOs from your environments.

DevOps 230

DevOps Latency Traffic Best Practices 230

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical.

Cloud 262

Cloud Lambda AWS Analytics 262

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. First, we create a small Kubernetes cluster in the Google Cloud Console. Agent logs security.

Google 232

Google Cloud Innovation Infrastructure 232

Dynatrace

DECEMBER 18, 2023

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus.

Metrics 189

Metrics Engineering Energy Tuning 189

Dynatrace

OCTOBER 4, 2022

Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. Still, it is critical to collect, store, and make easily accessible these massive amounts of log data for analysis. Current analytics tools are fragmented and lack context for meaningful analysis.

Analytics 246

Analytics Artificial Intelligence Storage Serverless 246

Dynatrace

FEBRUARY 2, 2023

But are observability platforms—born from the collision between the demands of cloud computing and the limitations of APM and infrastructure monitoring—the best solution for managing business analytics? Observability fault lines The monitoring of complex and dynamic IT systems includes real-time analysis of baselines, trends, and anomalies.

Analytics 214

Analytics Metrics DevOps Storage 214

Dynatrace

SEPTEMBER 5, 2024

The more data ingestion channels you provide to the Dynatrace Davis® AI engine, the more comprehensive Dynatrace automated root cause analysis becomes. Seamless integration with AWS Firehose Dynatrace is also enhancing our observability logs offerings for AWS services for cloud-native applications.

Innovation 273

Innovation AWS Analytics Storage 273

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

AUGUST 24, 2022

This blog post explains how you can effectively use your business-critical metrics as service level objectives (SLOs). Analysis of detected problems includes root cause analysis for quick problem remediation and the assurance that your SLO targets are met. Error budgets as a tool for prioritizing investments.

Metrics 218

Metrics Systems Cloud Engineering 218

Dynatrace

JANUARY 11, 2023

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 233

Cloud Monitoring Best Practices Infrastructure 233

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 232

Google Cloud Serverless Azure 232

Dynatrace

SEPTEMBER 21, 2023

Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms. But while moving workloads to the cloud brings overall carbon emissions down, the cloud computing carbon footprint itself is growing. Certainly, this is true for us.

Energy 245

Energy Cloud Airlines Strategy 245

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 213

DevOps Metrics Traffic Efficiency 213

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Cloud 195

Cloud Systems Analytics DevOps 195

Dynatrace

SEPTEMBER 14, 2022

Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? Of course, adequate solutions for both worlds exist, However, we argue that even today, they either lack the ease of use or smartness required by today’s complex cloud ecosystems.

Metrics 241

Metrics Analytics Monitoring Efficiency 241

Dynatrace

MAY 9, 2022

For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. Cloud migration enables IT teams to enlist public cloud infrastructure so an organization can innovate without getting bogged down in managing all aspects of IT infrastructure as it scales. Dynatrace news.

Strategy 211

Strategy Cloud Infrastructure Metrics 211

Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services.

AWS 211

AWS Cloud Lambda Analytics 211

Dynatrace

MARCH 22, 2022

While many companies now enlist public cloud services such as Amazon Web Services, Google Public Cloud, or Microsoft Azure to achieve their business goals, a majority also use hybrid cloud infrastructure to accommodate traditional applications that can’t be easily migrated to public clouds.

Infrastructure 237

Infrastructure Cloud Java Azure 237

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. Our Cloud Automation Roadshow brings the latest cloud-native automation practices to our attendees. Cloud Automation SLIs and SLOs can be changed through your git service and process of choice.

Cloud 214

Cloud DevOps Azure Virtualization 214

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. Custom log metrics.

Metrics 222

Metrics Innovation Strategy Monitoring 222

Dynatrace

NOVEMBER 18, 2021

Cloud-native observability is a prerequisite for companies that need to meet these expectations. Manual and configuration-heavy approaches to putting telemetry data into context and connecting metrics, traces, and logs simply don’t scale. The example below includes analysis of a payment issue. Dynatrace news.

Analytics 234

Analytics Cloud Java Serverless 234

Dynatrace

JULY 31, 2020

With the rise of cloud computing, it’s now more important than ever. The benefit of this is that optimizing the CPU usage of your workloads now pays off almost immediately in the form of reduced cloud computing costs. Dynatrace news. Analyzing and optimizing CPU consumption has always been an important concern.

Monitoring 243

Monitoring Performance Java Processing 243

Dynatrace

JULY 13, 2021

During the last six months, Dynatrace introduced release analysis, version awareness, and service-level objectives (SLOs) to the core of the Dynatrace Software Intelligence Platform. Now we’re happy to announce the release of Cloud Automation quality gates. Shift left your SRE practices. How the evaluation works.

Cloud 244

Cloud DevOps Benchmarking Speed 244

Dynatrace

OCTOBER 2, 2024

Dynatrace Grail™ and Davis ® AI act as the foundation, eliminating the need for manual log correlation or analysis while enabling you to take proactive action. Enterprises are turning to Dynatrace for its unified observability approach for cloud-native, on-premises, and hybrid resources.

Analytics 247

Analytics AWS DevOps Cloud 247

Dynatrace

OCTOBER 15, 2021

OpenTelemetry (also referred to as OTel) is an open-source observability framework made up of a collection of tools, APIs, and SDKs, that enables IT teams to instrument, generate, collect, and export telemetry data for analysis and understand software performance and behavior. Logs, metrics, and traces make up the bulk of all telemetry data.

Open Source 230

Open Source Metrics Cloud Transportation 230

Dynatrace

OCTOBER 17, 2024

The newly introduced Network devices and Details view within Hosts provide comprehensive health status information, relevant networking signals, and machine metrics—all analyzed and provided by the industry-leading combination of Dynatrace Grail™ data lakehouse and Davis ® AI. Overview of a cloud-hosted frontend web application.

Infrastructure 217

Infrastructure Network DevOps Metrics 217

Dynatrace

MARCH 16, 2022

Now, Dynatrace has the ability to turn numerical values from logs into metrics, which unlocks AI-powered answers, context, and automation for your apps and infrastructure, at scale. The parameter Billed Duration is only available in logs , so it makes sense to extract it from your logs so that you can keep an eye on your cloud costs.

Metrics 226

Metrics Lambda Infrastructure Monitoring 226

Dynatrace

APRIL 26, 2022

Cloud-native observability and artificial intelligence (AI) can help organizations do just that with improved analysis and targeted insight. Additionally, they discuss the need for cloud-native observability with GitOps that provides continuous operational insight across the Kubernetes value stream.

Cloud 235

Cloud Artificial Intelligence DevOps Scalability 235

Dynatrace

APRIL 15, 2022

As organizations expand their cloud footprints, they are combining public, private, and on-premises infrastructures. But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. VA’s journey into the cloud.

Cloud 188

Cloud Infrastructure Innovation Monitoring 188

Dynatrace

APRIL 22, 2022

As more organizations invest in a multicloud strategy, improving cloud operations and observability for increased resilience becomes critical to keep up with the accelerating pace of digital transformation. American Family turned to observability for cloud operations. Step 1: Automate AWS metrics ingestion with Dynatrace.

Cloud 178

Cloud Lambda Serverless AWS 178

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. Simplified cloud complexity with fully automated observability of Google Cloud. Dynatrace news.

Google 233

Google Cloud Serverless Innovation 233