Dynatrace

APRIL 19, 2023

Customer lifetime value (CLV) has long been established as the key metric financial services firms use to gauge their profitability and competitive position in the market. The growing demand for rapid innovation is worsened by the ongoing skills shortages. This puts sensitive customer and transactional information at risk.

Innovation 215

Innovation DevOps Strategy Speed 215

Dynatrace

JULY 12, 2022

Several team members had to pore through logs, metrics, and other data to identify issues. “We Ultimately, better infrastructure management enables organizations like Park ‘N Fly to innovate through software. To do so, organizations often succumb to a “hamster wheel” of having to release code more quickly to innovate effectively.

Innovation 230

Innovation Infrastructure DevOps Azure 230

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 230

DevOps Technology Technology Innovation 230

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. The goal is to accelerate innovation by eliminating the need for custom automation scripts and point-to-point tool integrations. Dynatrace news.

Open Source 200

Open Source DevOps Cloud Metrics 200

Dynatrace

JUNE 6, 2023

Just as organizations have increasingly shifted from on-premises environments to those in the cloud, development and operations teams now work together in a DevOps framework rather than in silos. But as digital transformation persists, new inefficiencies are emerging and changing the future of DevOps.

DevOps 171

DevOps Engineering Innovation Best Practices 171

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 305

Engineering DevOps Innovation AWS 305

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 242

DevOps Innovation Infrastructure Cloud 242

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. The data life cycle has multiple steps from start to finish.

Open Source 230

Open Source Metrics Cloud Transportation 230

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 287

Efficiency Performance Analytics DevOps 287

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 214

Monitoring Software Software DevOps 214

Dynatrace

NOVEMBER 22, 2021

Not just logs, metrics and traces. Its approach to serverless computing has transformed DevOps. Enable autonomous operations, boost innovation, and offer new modes of customer engagement by automating everything. DevOps/DevSecOps with AWS. But most of that budget goes toward running the business—not software innovation.

AWS 237

AWS Lambda Artificial Intelligence Serverless 237

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. You’re getting all the architectural benefits of Grail—the petabytes, the cardinality—with this implementation,” including the three pillars of observability: logs, metrics, and traces in context.

Analytics 198

Analytics Innovation Metrics Database 198

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 158

DevOps Monitoring Cloud Artificial Intelligence 158

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 285

Engineering DevOps Best Practices Infrastructure 285

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 229

DevOps Innovation Cloud Programming 229

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 253

DevOps Innovation Monitoring Analytics 253

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. I’ve long thought of DevOps as being 80% about culture. What Kubernetes Brings to the Table.

DevOps 209

DevOps Innovation Cloud Speed 209

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 256

DevOps Cloud Infrastructure Monitoring 256

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

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. A full-featured deterministic AIOps solution should lead to faster, higher-quality innovation, increased IT staff efficiency, and vastly improved business outcomes.

Artificial Intelligence 224

Artificial Intelligence DevOps Innovation Metrics 224

Dynatrace

SEPTEMBER 5, 2023

But when these teams work in largely manual ways, they don’t have time for innovation and strategic projects that might deliver greater value. Predictive AI empowers site reliability engineers (SREs) and DevOps engineers to detect anomalies and irregular patterns in their systems long before they escalate into critical incidents.

Artificial Intelligence 271

Artificial Intelligence DevOps Analytics Engineering 271

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 245

Cloud DevOps Benchmarking Speed 245

Dynatrace

JUNE 11, 2019

Eventually, a previously siloed company can be reorganized as follows: In such a setup, shared high-level metrics drive individual team members to focus on improving customer outcomes, creating more value, and improving the bottom line. In this way, an organization can break through silos and create stronger business outcomes overall.

Innovation 201

Innovation Monitoring Metrics Strategy 201

Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. The time and effort saved with testing and deployment are a game-changer for DevOps. Docker, their respective core domains, and some of the challenges involved in both technologies, like observability. But first, some background.

Open Source 313

Open Source Traffic DevOps Cloud 313

Dynatrace

JUNE 13, 2022

But with this speed, agility, and innovation come new challenges. Learn how to easily incorporate software intelligence capabilities into applications’ lifecycle and apply service-level objectives (SLOs) for critical metrics, including performance, quality, and security while adhering to operations standards.

Open Source 232

Open Source DevOps Java Innovation 232

Dynatrace

SEPTEMBER 28, 2021

Teams are using concepts from site reliability engineering to create SLO metrics that measure the impact to their customers and leverage error budgets to balance innovation and reliability. Nobl9 integrates with Dynatrace to gather SLI metrics for your infrastructure and applications using real-time monitoring or synthetics.

Metrics 315

Metrics Innovation Monitoring Software 315

Dynatrace

OCTOBER 23, 2023

We believe at Soldo that efficiency is the key value to be very successful in the business we run,” said Luca Domenella, head of cloud operations and DevOps at Soldo. In a recent conversation at Dynatrace Innovate in Barcelona, Spain, with Liisa Tallinn, product manager of application security at Dynatrace, Domenella explained how it works.

Design 230

Design Innovation DevOps Open Source 230

Dynatrace

OCTOBER 8, 2020

Serverless functions extend applications to accelerate speed of innovation. Although the adoption of serverless functions brings many benefits, including scalability, quick deployments, and updates, it also introduces visibility and monitoring challenges to CloudOps and DevOps.

Lambda 307

Lambda AWS Programming Serverless 307

Dynatrace

DECEMBER 2, 2024

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Find and prevent application performance risks A major challenge for DevOps and security teams is responding to outages or poor application performance fast enough to maintain normal service.

Artificial Intelligence 190

Artificial Intelligence DevOps Architecture Cloud 190

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. The “three pillars of observability,” metrics, logs, and traces, still don’t tell the whole story. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 263

Cloud Azure Analytics Open Source 263

Dynatrace

JANUARY 29, 2024

It is also a key metric for organizations looking to improve their DevOps performance. This metric represents the proportion of system incidents resolved by escalating to a higher level of support. This time could be better spent innovating; closed – loop remediation frees up developers’ time, resources, and energy.

Best Practices 204

Best Practices DevOps Energy Innovation 204

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. The latest Amazon Lambda innovation, Lambda SnapStart, has day one support from Dynatrace. What is Lambda? How does Dynatrace help?

Lambda 235

Lambda AWS Serverless Latency 235

Dynatrace

NOVEMBER 6, 2023

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. DevOps, SREs, developers… everyone will ask questions. When an incident occurs, developers need to know what data to look at, where the incident occurred, and other relevant metrics.

Development 273

Development DevOps Programming Cloud 273

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. That’s why good communication between SREs and DevOps teams is important. The following three metrics are commonly used to measure success: Service-level agreements (SLAs). Service-level objectives (SLOs). availability.

Best Practices 233

Best Practices DevOps Latency Metrics 233

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 209

DevOps Artificial Intelligence Healthcare Innovation 209

Dynatrace

MARCH 3, 2020

The IDC FutureScape: Worldwide IT Industry 2020 Predictions highlights key trends for IT industry-wide technology adoption for the next five years and includes these predictions: Hasten to innovation. By 2024, over 50% of all IT spending will be directly put towards digital transformation and innovation (up from 31% in 2018).

Performance 253

Performance Education Innovation Software Architecture 253

Dynatrace

SEPTEMBER 28, 2020

The study for the ISG Provider Lens ™ Cloud-Native Observability Quadrant measures the breadth, depth, quality, and vision of a product portfolio’s offering, and its competitive strength in the marketplace, customer satisfaction, business innovation, and go-to-market strength.

Cloud 246

Cloud Serverless Innovation Architecture 246