Dynatrace

AUGUST 10, 2021

Because here is a group of people who thrive on discovering new things, transforming workplaces, and innovating in the true sense of the word, every single day. And, they got the chance to do just that at our recent event, DynatraceGo, which I’ll tell you a bit more about in this blog. DynatraceGo! DynatraceGo! DynatraceGo!

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

APRIL 22, 2021

To keep up, we’ve seen growing interest in DevOps and continuous delivery , as organizations aim to deliver new digital services and experiences faster. However, it isn’t as simple as just implementing a DevOps toolset, analyzing DevOps metrics, or investing in DevOps monitoring capabilities. What is DevOps?

DevOps 206

DevOps Innovation Technology Technology 206

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 264

Efficiency Performance Analytics DevOps 264

Dynatrace

NOVEMBER 18, 2020

DevOps seeks to accomplish smooth and efficient software creation, delivery, monitoring, and improvement by prioritizing agility and adaptability over rigid, stage-by-stage development. What is DevOps? As DevOps pioneer Patrick Debois first described it in 2009, DevOps is not a specific technology, but a tactical approach.

DevOps 198

DevOps Infrastructure Open Source Software 198

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. What is vulnerability management?

Cloud 176

Cloud DevOps Open Source Retail 176

Dynatrace

DECEMBER 13, 2023

This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. Data indicates these technology trends have taken hold. And a staggering 83% of respondents to a recent DevOps Digest survey have plans to adopt platform engineering or have already done so.

Technology 193

Technology Technology Artificial Intelligence Analytics 193

Dynatrace

OCTOBER 10, 2023

In this blog post, we’ll delve deeper into these categories to gain a comprehensive understanding of their significance and the challenges they present. This improves the current project and paves the way for future innovation. This empowers them to spearhead innovations that ensure the business is prepared for future expansions.

Engineering 215

Engineering DevOps Innovation Strategy 215

Dynatrace

OCTOBER 25, 2022

NoOps, or “no operations,” emerged as a concept alongside DevOps and the push to automate the CI/CD pipelines as early as 2010. For most teams, evolving their DevOps practices has been challenging enough. The need for developers and innovation is now even greater. Thus, the concept of NoOps takes DevOps a step further.

DevOps 206

DevOps Big Data Cloud Innovation 206

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. Then teams can leverage and interpret the observable data. Achieving meaningful observability.

DevOps 147

DevOps Monitoring Cloud Artificial Intelligence 147

Dynatrace

JUNE 13, 2022

But with this speed, agility, and innovation come new challenges. Cloud operations and observability boost resilience for American Family – blog. Software intelligence as code enables tailored observability, AIOps, and application security at scale – blog. The Log4j vulnerability explained (and what to do about it) – blog.

Open Source 211

Open Source DevOps Java Innovation 211

Dynatrace

JUNE 11, 2019

Welcome back to the blog series in which we summarize the findings of our Autonomous Cloud Management Survey. To explore this issue, we asked participants the following question: Which of your teams have access to production monitoring data? 3) Only 41% of business stakeholders have access to production monitoring data.

Innovation 185

Innovation Monitoring Metrics Strategy 185

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. Full-stack observability is the ability to determine the state of every endpoint in a distributed IT environment based on its telemetry data. Dynatrace news.

DevOps 222

DevOps Innovation Infrastructure Analytics 222

Dynatrace

AUGUST 7, 2023

Pairing generative AI with causal AI One key strategy is to pair generative AI with causal AI , providing organizations with better-quality data and answers as they make key decisions. Because generative AI is probabilistic in nature, its value depends on the quality of data that trains its algorithms and prompts.

DevOps 175

DevOps Analytics Best Practices Java 175

Dynatrace

NOVEMBER 9, 2022

According to some data, 93% of technologists find cloud application modernization challenging. Moreover, according to IDC data,? For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. 5 Steps to accelerate your cloud migration with Dynatrace – blog .

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

JULY 20, 2022

While development teams focus on innovation and quick release cycles, operations teams and Site Reliability Engineers (SREs) focus on stability. Of course, your customers expect both fast innovation and reliability. The post Uplevel production resiliency with automated problem remediation appeared first on Dynatrace blog.

DevOps 219

DevOps Innovation Cloud Tuning 219

Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 193

DevOps Metrics Engineering Analytics 193

Dynatrace

APRIL 19, 2021

Dynatrace scored highest across 4 of 5 use cases, DevOps/AppDev, SRE/CloudOps, IT Operations, and Digital Experience Monitoring, and second highest in the Application Owner/Line of Business use case. It’s this combination that helps our customers deal with the explosion of observability data. We are grateful for this recognition.

DevOps 252

DevOps Innovation Speed Infrastructure 252

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 298

Engineering DevOps Innovation AWS 298

Dynatrace

NOVEMBER 22, 2021

Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. A modern observability solution transforms data from distributed environments into actionable business intelligence. Its approach to serverless computing has transformed DevOps. DevOps/DevSecOps with AWS. 2021 DevOps Report.

AWS 219

AWS Lambda Artificial Intelligence Serverless 219

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. Generative AI brings data quality risks But generative AI also brings risks in terms of data quality. What is causal AI?

AWS 200

AWS Artificial Intelligence Analytics Cloud 200

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. Ready to create your first release validation automation?

DevOps 241

DevOps Open Source Cloud Azure 241

Dynatrace

AUGUST 29, 2022

Release validation is a critical DevOps practice to help ensure that code released into production is successful. DevOps practices have become key for organizations looking to scale, stay competitive, and keep up with customer demand. It is also a vital data collection mechanism for regression testing against subsequent releases.

DevOps 198

DevOps Benchmarking Cloud Monitoring 198

Dynatrace

NOVEMBER 9, 2021

The theme for the event focused on ‘APM to Observability’, which we’ll recap shortly within this blog. 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.

DevOps 207

DevOps Innovation Cloud Programming 207

Dynatrace

AUGUST 23, 2023

Understanding generative AI and how to use it can unlock boundless innovation. Tracy Bannon , Senior Principal/Software Architect and DevOps Advisor at MITRE , is passionate about DevSecOps and the potential impact of artificial intelligence (AI) on software development. However, AI is a relatively new technology. Here’s how.

Artificial Intelligence 163

Artificial Intelligence Innovation Tuning DevOps 163

Dynatrace

JANUARY 21, 2022

Key takeaways from this article on vulnerability management for cloud application security: Today’s cloud apps with their fast innovation cycles and frequent use of open-source libraries must address a gap for runtime vulnerability management in production environments. Dynatrace news. How vulnerability management at runtime changes the game.

Strategy 210

Strategy Cloud DevOps Open Source 210

Dynatrace

DECEMBER 14, 2021

With this critical information in one centralized interface, all teams within the software development lifecycle will be able to operate from a single source of truth so they can resolve issues faster and focus on innovations. appeared first on Dynatrace blog. GKE Autopilot and beyond.

DevOps 210

DevOps Infrastructure Innovation Google 210

Dynatrace

JULY 26, 2022

We covered everything from the study findings, how the study was conducted, how the data was collated, and most importantly – what it means for you, our partners, and how you can leverage it to better serve your customers and business. Would they still see these benefits? Would the magnitude change? Still got some questions?

DevOps 216

DevOps Small Business Innovation Network 216

Dynatrace

JULY 13, 2021

With the increasing adoption of agile software development, DevOps , progressive continuous delivery, and Site Reliability Engineering (SRE) practices, many companies are aiming to deliver better software faster and more safely while keeping up with customer demands. Accelerate DevOps and Scale SRE with Service Level Objectives (SLOs).

Cloud 235

Cloud DevOps Benchmarking Speed 235

Dynatrace

SEPTEMBER 30, 2019

That means DevOps and IT put less time and resources toward driving new proactive innovations, and more into reactive problem solving and putting out fires in an environment that is more dynamic and unpredictable than ever. Kubernetes’ native cluster and node health data help to paint a fuller picture of complex cloud environments.

DevOps 195

DevOps Innovation Cloud Speed 195

Dynatrace

JANUARY 19, 2022

But this statistics-based approach with too much data and not enough context requires expert analysts to draw conclusions that amount to educated guesses. Observability vs. monitoring: What’s the difference? – Blog. Modern approaches to observability and monitoring for multicloud environments – Blog.

Artificial Intelligence 170

Artificial Intelligence DevOps Performance Games 170

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. Dynatrace news.

DevOps 232

DevOps Infrastructure Cloud Monitoring 232

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. Dynatrace news. This is fueling key DevSecOps trends in 2022. and 2.14.1.

Serverless 254

Serverless Infrastructure Innovation DevOps 254

Dynatrace

APRIL 19, 2021

Dynatrace scored highest across 4 of 5 use cases, DevOps/AppDev, SRE/CloudOps, IT Operations, and Digital Experience Monitoring, and second highest in the Application Owner/Line of Business use case. It’s this combination that helps our customers deal with the explosion of observability data. We are grateful for this recognition.

DevOps 162

DevOps Innovation Speed Infrastructure 162

Dynatrace

NOVEMBER 29, 2022

In my previous blog post, Path to NoOps part 1: How modern AIOps brings NoOps within reach, I explored the aspirations of NoOps and how modern AIOps makes it possible. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Register now!

Infrastructure 164

Infrastructure Code Cloud DevOps 164

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” Humans simply cannot manually review and analyze the massive amount of data that a modern observability solution can process automatically.

Artificial Intelligence 201

Artificial Intelligence DevOps Innovation Metrics 201

Dynatrace

AUGUST 16, 2023

For most organizations, online service reliability that balances innovation and uptime is a primary goal. SLOs are pivotal for development, DevOps, and SRE teams because they provide a common language for discussing system reliability. An error budget encourages a healthy trade-off between innovation and reliability.

Monitoring 175

Monitoring DevOps Metrics Innovation 175

Dynatrace

AUGUST 2, 2022

In a complex data-driven world, many security vulnerabilities and attacks can jeopardize an organization’s sensitive data. According to some data, a surge in verified zero-day exploits in 2021 alone accounted for 40% of zero-day attacks undertaken in the past decade. DevSecOps: Integrating security into DevOps.

DevOps 130

DevOps Strategy Open Source Java 130