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. The goal is to either improve or restore the system to its optimally functioning state. Ideally, this all occurs without human intervention.

Best Practices 201

Best Practices DevOps Energy Innovation 201

Dynatrace

OCTOBER 23, 2023

The platform helps companies manage corporate spending using automation, card (physical and virtual), and integrations with expense management systems and enterprise resource planning (ERP) systems, such as Netsuite, Concur, Zucchetti, and so on. “We What is security by design? We’re born in the cloud, we’re a cloud-native company.

Design 226

Design Innovation DevOps Open Source 226

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. Others involve introducing new threats as AI becomes more integrated into IT systems as a whole. At the same time, challenges remain as organizations aim to become more automated.

Artificial Intelligence 191

Artificial Intelligence DevOps Strategy Open Source 191

Dynatrace

MAY 24, 2024

These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. Ally’s goal was to reduce the number of monitoring tools it was using and its annual spend while gaining better, more actionable—and more automatable—insights into systems that affect customer experiences.

Technology 225

Technology Technology Analytics Innovation 225

Dynatrace

DECEMBER 2, 2020

In its report “ Innovation Insight for Observability ,” global research and advisory firm Gartner describes the advantages of observability for cloud monitoring as organizations navigate this shift. The post Gartner: Observability drives the future of cloud monitoring for DevOps and SREs appeared first on Dynatrace blog.

DevOps 156

DevOps Monitoring Cloud Artificial Intelligence 156

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Logs, metrics, and traces make up the bulk of all telemetry data. To appreciate what OTel does, it helps to understand observability.

Open Source 227

Open Source Metrics Cloud Transportation 227

Tasktop

OCTOBER 18, 2021

It’s been just over a week since this year’s virtual DevOps Enterprise Summit USA and I don’t know about you, but I am already missing the vibrant Slack conversations, the impromptu Gather interactions, the industry-leading content and the many networking opportunities that brought together the thriving DevOps community. .

DevOps 52

DevOps Metrics Virtualization Innovation 52

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. But when these teams work in largely manual ways, they don’t have time for innovation and strategic projects that might deliver greater value. What is predictive AI? Capacity planning. Continuous improvement.

Artificial Intelligence 269

Artificial Intelligence DevOps Analytics Engineering 269

Dynatrace

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. A full-stack observability solution uses telemetry data such as logs, metrics, and traces to give IT teams insight into application, infrastructure, and UX performance.

DevOps 238

DevOps Innovation Infrastructure Analytics 238

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. This metric indicates how quickly software can be released to production. Dynatrace news.

Monitoring 210

Monitoring Software Software DevOps 210

Dynatrace

NOVEMBER 7, 2023

Centralization of platform capabilities improves efficiency of managing complex, multi-cluster infrastructure environments According to research findings from the 2023 State of DevOps Report , “36% of organizations believe that their team would perform better if it was more centralized.” Ensure that you get the most out of your product.

Engineering 282

Engineering DevOps Best Practices Infrastructure 282

Dynatrace

NOVEMBER 6, 2023

Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. The DevOps people looking end-to-end.

Development 270

Development DevOps Programming Cloud 270

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. 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. That’s why good communication between SREs and DevOps teams is important.

Best Practices 230

Best Practices DevOps Latency Metrics 230

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. Several tools can be used to collect metrics in load/performance testing.

Speed 216

Speed Software Software Latency 216

Dynatrace

FEBRUARY 10, 2023

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. DevOps metrics and digital experience data are critical to this. Learn more.

Efficiency 284

Efficiency Performance Analytics DevOps 284

Dynatrace

AUGUST 16, 2023

For most organizations, online service reliability that balances innovation and uptime is a primary goal. SLOs are specifically processed metrics that help businesses balance breakthroughs with reliability. SLOs are pivotal for development, DevOps, and SRE teams because they provide a common language for discussing system reliability.

Monitoring 194

Monitoring DevOps Metrics Innovation 194

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. The deviating metric is response time.

DevOps 205

DevOps Artificial Intelligence Healthcare Innovation 205

Dynatrace

APRIL 11, 2023

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As a result, organizations need to be vigilant in identifying and addressing vulnerabilities to protect their systems and data.

Cloud 195

Cloud DevOps Open Source Retail 195

Dynatrace

JANUARY 31, 2024

Data observability involves monitoring and managing the internal state of data systems to gain insight into the data pipeline, understand how data evolves, and identify any issues that could compromise data integrity or reliability. Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued.

DevOps 200

DevOps Analytics Airlines Metrics 200

Dynatrace

NOVEMBER 22, 2021

Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources. Not just logs, metrics and traces. Its approach to serverless computing has transformed DevOps. DevOps/DevSecOps with AWS. What is observability?

AWS 235

AWS Lambda Artificial Intelligence Serverless 235

Dynatrace

NOVEMBER 9, 2021

But the cloud is forcing a rethink of tooling, platforms, technologies, and services to power new, agile, applications and application components, that break down silos, and use AI and automation to accelerate innovation. And for observability to be successful, it requires much more than just logs, metrics, and traces.

DevOps 226

DevOps Innovation Cloud Programming 226

Dynatrace

OCTOBER 14, 2021

Here, we’ll discuss the AIOps landscape as it stands today and present an alternative approach that truly integrates artificial intelligence into the DevOps process. These systems are often difficult to scale because the underlying ML engine doesn’t provide continuous, real-time insight into the precise root cause of issues.

Artificial Intelligence 221

Artificial Intelligence DevOps Innovation Metrics 221

Dynatrace

NOVEMBER 2, 2022

Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. This shift often requires more frequent software releases with built-in measures that ensure a strong digital immune system. Observability. Autonomous testing. Continuous validation.

Software 205

Software Software Artificial Intelligence DevOps 205

Dynatrace

JUNE 13, 2022

But with this speed, agility, and innovation come new challenges. The conference’s theme recognizes that IT collaboration, DevSecOps culture, and business resilience are mutually reinforcing the role of DevSecOps teams in addressing application security threats, system downtime, and digital user experience issues.

Open Source 229

Open Source DevOps Java Innovation 229

Tasktop

MAY 24, 2021

The European leg of the DevOps Enterprise (Virtual) Summit 2021 returned last week (17-20 May) as the community reflected on a year like none other. The admiral would no doubt admire what Jason Cox, Director of Platform & Systems Reliability, is doing at Disney. And their popularity is on the rise.

DevOps 91

DevOps Metrics Healthcare Innovation 91

Dynatrace

AUGUST 26, 2020

Today, the AI Breakthrough Awards announced its 2020 winners , recognizing the leading AI innovators and solutions. Dynatrace automatically collects data not just from metrics, traces, and logs, but also user experience and code-level insights – all in context and mapped into a topology. The difference Davis makes.

Engineering 304

Engineering DevOps Innovation AWS 304

Dynatrace

JULY 13, 2021

As organizations aim for faster delivery of value to their customers, the frequency of releases inevitably increases, which introduces risks and uncertainty into production systems—unless automated tests and quality gates can be leveraged to provide confidence. Accelerate DevOps and Scale SRE with Service Level Objectives (SLOs).

Cloud 244

Cloud DevOps Benchmarking Speed 244

Dynatrace

NOVEMBER 15, 2021

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Logs can include data about user inputs, system processes, and hardware states. Optimized system performance. What is log monitoring? Log monitoring vs log analytics.

Analytics 218

Analytics Monitoring Artificial Intelligence DevOps 218

Dynatrace

OCTOBER 14, 2022

These systems are generating more data than ever, and teams simply can’t keep up with a manual approach. Artificial intelligence (AI) refers to a system’s ability to mimic human cognitive function. Machine learning applications may be developed standalone, but they’re often part of larger AI systems.

Artificial Intelligence 183

Artificial Intelligence DevOps Analytics Cloud 183

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. GitOps: Cloud automation as code. Expand to more use cases.

DevOps 246

DevOps Open Source Cloud Azure 246

Tasktop

JULY 22, 2021

“Business agility is the ability to compete and thrive in the digital age by quickly responding to market changes and emerging opportunities with innovative, digitally-enabled business solutions” – Scaled Agile . That’s why I’m so excited to see Flow Metrics added to the latest SAFe iteration. A Flow-Based System.

Metrics 98

Metrics DevOps Efficiency Benchmarking 98

Dynatrace

JUNE 1, 2023

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. But the pressure on CIOs to innovate faster comes at a cost. In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider.

Latency 185

Latency Website Traffic Virtualization 185

Dynatrace

APRIL 28, 2020

Also , in a field of fifteen vendors analy z ed by Gartner, Dynatrace received the highest scores in five of six critical capabilities use cases: CloudOps, DevOps Release, IT Operations, Application Support, and Application Development. . Our employees listen carefully to our customers and innovate continuously.

DevOps 250

DevOps Innovation Monitoring Analytics 250

Dynatrace

DECEMBER 24, 2020

IT, DevOps, and SRE teams seeking to know the health of their apps and services have always faced obstacles that can drain productivity, stifle collaboration, ratchet up the time to resolution, and limit the effectiveness of their collaboration with other parts of the business. Innovate faster with an all-in-one observability solution.

DevOps 253

DevOps Infrastructure Cloud Monitoring 253

Dynatrace

FEBRUARY 27, 2024

During a session at Dynatrace Perform 2024 , Dynatrace colleagues Kristof Renders, director of innovation services, and Brian Chandler, principal solutions architect, demonstrated four BizDevSecOps use cases for the Dynatrace unified observability and security platform. These are all metrics Dynatrace collects directly out of the box.

Best Practices 244

Best Practices Metrics AWS Innovation 244

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. What are SLIs? Help with decision making. Avoid downtime. How SLOs work.

Metrics 200

Metrics Best Practices DevOps Infrastructure 200

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. But the pressure on CIOs to innovate faster comes at a cost. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider.

Traffic 173

Traffic Latency Website Virtualization 173