Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. We’ll post news here as it happens!

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

DECEMBER 6, 2022

DevOps and site reliability engineering (SRE) teams aim to deliver software faster and with higher quality. But, manual steps — such as reviewing test results and addressing production issues resulting from performance, resiliency, security, or functional issues — often hinder these efforts. The role of observability within DevOps.

DevOps 224

DevOps Metrics Engineering Speed 224

Dynatrace

DECEMBER 2, 2020

As more organizations transition to distributed services, IT teams are experiencing the limitations of traditional monitoring tools, which were designed for yesterday’s monolithic architectures. Where traditional monitoring falls flat. Observability defined. Then teams can leverage and interpret the observable data.

DevOps 154

DevOps Monitoring Cloud Artificial Intelligence 154

Dynatrace

SEPTEMBER 28, 2021

You have set up a DevOps practice. As we look at today’s applications, microservices, and DevOps teams, we see leaders are tasked with supporting complex distributed applications using new technologies spread across systems in multiple locations. DevOps metrics to help you meet your DevOps goals. Dynatrace news.

DevOps 206

DevOps Metrics Traffic Efficiency 206

Dynatrace

MARCH 17, 2021

Hops and DevOps; an unlikely pairing, but one that turns out to go very well together! Dynatrace hosted another tasting event for our community, which included some craft beers from a local brewery and the very hot topic of DevOps – one that has been omnipotent in the IT industry almost since its inception in 2009. Dynatrace news.

DevOps 195

DevOps Media Metrics Technology 195

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. Dynatrace combines Synthetic Monitoring with automatic release validation for continuous quality assurance across the SDLC.

Monitoring 206

Monitoring Software Software DevOps 206

Dynatrace

SEPTEMBER 15, 2023

In the 2023 Magic Quadrant for Application Performance Monitoring (APM) and Observability, Gartner has named Dynatrace a Leader and positioned it highest for Ability to Execute and furthest for Completeness of Vision. 5), DevOps/AppDev (4.08/5), 5), DevOps/AppDev (4.08/5), Gartner ranked Dynatrace No. 5) Use Cases.

Monitoring 251

Monitoring Performance Analytics DevOps 251

Dynatrace

JANUARY 4, 2024

Moreover, the number of services in an enterprise’s portfolio makes it impractical to manually configure and adapt alerting for the tens of thousands of service endpoints teams need to monitor. A unified platform approach also makes OpenTelemetry data available to more teams across the organization for more diversified analysis.

Metrics 171

Metrics Open Source Tuning Infrastructure 171

Dynatrace

NOVEMBER 1, 2022

DevOps and ITOps teams rely on incident management metrics such as mean time to repair (MTTR). A 2022 Outage Analysis report found that enterprises are struggling to achieve a measurable reduction in outage rates and severity. Mean time to respond (MTTR) is the average time it takes DevOps teams to respond after receiving an alert.

DevOps 212

DevOps Artificial Intelligence Metrics Network 212

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. “Logging” is the practice of generating and storing logs for later analysis. What is log monitoring? Dynatrace news.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

APRIL 4, 2023

Even in higher education, IT staff depend on key visibility into their complex ecosystems of applications and infrastructure to monitor and manage application health. They also explored how Dynatrace is advancing visibility and health monitoring with new AI-driven health view features. ” One major gap was application health.

Education 220

Education Monitoring C++ Design 220

Dynatrace

APRIL 18, 2022

When it comes to site reliability engineering (SRE) initiatives adopting DevOps practices, developers and operations teams frequently find themselves at odds with one another. Too many SLOs create complexity for DevOps. With many pipelines to maintain, DevOps teams need automated orchestration. Dynatrace news.

Open Source 193

Open Source DevOps Cloud Metrics 193

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. How Release Analysis works. “To release or not to release?” Dynatrace uses built-in version detection strategies.

Software 241

Software Software Strategy Metrics 241

Dynatrace

AUGUST 16, 2023

SLO monitoring and alerting on SLOs using error-budget burn rates are critical capabilities that can help organizations achieve that goal. SLOs are pivotal for development, DevOps, and SRE teams because they provide a common language for discussing system reliability. What is SLO monitoring?

Monitoring 190

Monitoring DevOps Metrics Innovation 190

Dynatrace

NOVEMBER 3, 2021

This trend is prompting advances in both observability and monitoring. But exactly what are the differences between observability vs. monitoring? Monitoring and observability provide a two-pronged approach. To get a better understanding of observability vs monitoring, we’ll explore the differences between the two.

Monitoring 226

Monitoring Metrics DevOps Scalability 226

Dynatrace

MAY 6, 2024

Problem remediation is too time-consuming According to the DevOps Automation Pulse Survey 2023 , on average, a software engineer takes nine hours to remediate a problem within a production application. Davis AI root cause analysis is used to pinpoint the problem, entity, and root cause. In-context topology identification.

DevOps 290

DevOps Software Engineering Games Java 290

Dynatrace

SEPTEMBER 4, 2020

This is a mouthful of buzzwords” is how I started my recent presentations at the Online Kubernetes Meetup as well as the DevOps Fusion 2020 Online Conference when explaining the three big challenges we are trying to solve with Keptn – our CNCF Open Source project: Automate build validation through SLI/SLO-based Quality Gates. Dynatrace news.

DevOps 249

DevOps Metrics Innovation Azure 249

Dynatrace

OCTOBER 4, 2021

As a result, API monitoring has become a must for DevOps teams. So what is API monitoring? What is API Monitoring? API monitoring is the process of collecting and analyzing data about the performance of an API in order to identify problems that impact users. The need for API monitoring.

Monitoring 183

Monitoring Latency Metrics Availability 183

Dynatrace

JANUARY 29, 2024

“Closed loop” refers to the continuous feedback loop in which the system takes actions — based on monitoring and analysis — and verifies the results to ensure complete problem remediation. Stage 2: Remediate Root cause analysis : The observability platform should be able to pinpoint the incident’s root cause.

Best Practices 197

Best Practices DevOps Energy Innovation 197

Dynatrace

MAY 2, 2024

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. Learn how security improves DevOps. AI is top of mind for security teams across every industry. What is DevSecOps?

Artificial Intelligence 235

Artificial Intelligence Cloud Best Practices DevOps 235

Dynatrace

JULY 10, 2023

These environments are marked by continuous delivery of microservice updates into production, the abstractions inherent in Kubernetes environments, and challenges associated with applications distributed across multicloud environments—often with performance and security risks. Dynatrace was recognized as Compuware from 2010-2014.

Monitoring 225

Monitoring Retail Performance Government 225

Dynatrace

MAY 4, 2021

AIOps offers an alternative to traditional infrastructure monitoring and management with end-to-end visibility and observability into IT stacks. But increasing complexity and lacking visibility creates a problem: Enterprises invest more resources into monitoring and don’t get the data and answers they need.

Infrastructure 186

Infrastructure Monitoring Artificial Intelligence Cloud 186

Dynatrace

MAY 3, 2024

Without the ability to see the logs that are relevant to your service, infrastructure, or cloud function—at exactly the right time and in exactly the right format—your cloud or DevOps engineers lose the ability to find the root causes of the issues they troubleshoot. In some deployment scenarios, you might skip CloudWatch altogether.

Cloud 257

Cloud Lambda AWS Analytics 257

Dynatrace

JANUARY 12, 2021

IT, DevOps, and SRE teams are racing to keep up with the ever-expanding complexity of modern enterprise cloud ecosystems and the business demands they are designed to support. Observability is the new standard of visibility and monitoring for cloud-native architectures. Requirements to achieve multicloud observability and monitoring.

Monitoring 197

Monitoring Artificial Intelligence DevOps Serverless 197

Dynatrace

OCTOBER 30, 2023

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. From performance issues to vulnerabilities, problems can crop up anywhere in the software development pipeline.

Engineering 250

Engineering DevOps Innovation Storage 250

Dynatrace

DECEMBER 15, 2022

The primary goal of ITOps is to provide a high-performing, consistent IT environment. The roles and responsibilities of ITOps team members include the following: A system administrator configures servers, installs applications, monitors the health of the system, and fixes and upgrades hardware. Performance. Functionality.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

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. Easily track the health and performance of database servers with AI support.

Database 243

Database DevOps Analytics Servers 243

Dynatrace

APRIL 6, 2022

Observability across the full technology stack gives teams comprehensive, real-time insight into the behavior, performance, and health of applications and their underlying infrastructure. Comprehensive observability is also essential for digital experience monitoring (DEM). DevOps teams can also benefit from full-stack observability.

DevOps 235

DevOps Innovation Infrastructure Analytics 235

Dynatrace

NOVEMBER 29, 2021

But OpenShift provides comprehensive multi-tenancy features, advanced security and monitoring, integrated storage, and CI/CD pipeline management right out of the box. Microservices architecture combines loosely-coupled functions to create high-performing applications. OpenShift, DevOps, and CI/CD. The result?

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

JULY 18, 2023

With so much at risk during an emergency, ensuring performance apps don’t lag or crash when they’re most needed is vital. Advanced observability can eliminate blind spots surrounding application performance, health, and behavior for these critical applications and the infrastructure that supports them.

Government 224

Government Infrastructure Monitoring Database 224

Dynatrace

MAY 31, 2023

With so many of their transactions occurring online, customers are becoming more demanding, expecting websites and applications to always perform perfectly. Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019.

Best Practices 228

Best Practices DevOps Latency Metrics 228

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. This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services.

Systems 189

Systems Cloud Analytics DevOps 189

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 208

DevOps Metrics Engineering Analytics 208

Dynatrace

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. Dynatrace news. And it’s not just the release validation.

DevOps 245

DevOps Open Source Cloud Azure 245

Dynatrace

JULY 29, 2022

This is also known as root-cause analysis. Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. Peak performance analysis. What are the challenges of log analytics?

Analytics 220

Analytics Storage Retail Monitoring 220

Dynatrace

OCTOBER 17, 2022

Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). DevOps: Applying AIOps to development environments. CloudOps: Applying AIOps to multicloud operations.

DevOps 202

DevOps Artificial Intelligence Healthcare Innovation 202

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 229

Metrics Mobile IoT Monitoring 229