Dynatrace

SEPTEMBER 22, 2022

Staying ahead of customer needs requires speed and agility from all phases of the software development life cycle (SDLC). DevOps automation tools speed up delivery cycles by reducing human error and bottlenecks, resulting in fewer and shorter feedback loops. It helps to assess the long- and short-term efficiency and speed of DevOps.

DevOps 182

DevOps Innovation Speed Monitoring 182

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. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market. Traditional and new challenges are emerging when integrating AI into IT operations.

Artificial Intelligence 177

Artificial Intelligence DevOps Strategy Open Source 177

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed. The following three metrics are commonly used to measure success: Service-level agreements (SLAs).

Best Practices 216

Best Practices DevOps Latency Metrics 216

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 229

Performance Analytics Mobile Innovation 229

Dynatrace

OCTOBER 4, 2023

Companies that exploit these technologies can discover risks early, remediate problems, and to innovate and operate more efficiently are likely to achieve competitive advantage. Modern observability Observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

SEPTEMBER 1, 2022

To measure service quality, IT teams monitor infrastructure, applications, and user experience metrics, which in turn often support service level objectives (SLO)s. But these metrics and SLOs are only indirectly connected to business KPIs, which often leads to misplaced priorities, ineffective collaboration, and lost business opportunities.

Analytics 170

Analytics Ecommerce Metrics Innovation 170

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 211

DevOps Innovation Cloud Programming 211

Dynatrace

FEBRUARY 10, 2022

Today, businesses are racing ever faster to accommodate customer demands and innovate without sacrificing product quality or security. As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage.

Artificial Intelligence 180

Artificial Intelligence Performance Innovation Speed 180

Dynatrace

APRIL 10, 2023

The need for transaction speed in the face of increasing digital customer demand According to Bollampally, the company’s on-premises infrastructure couldn’t support the consolidated reporting it needed while responding to customers’ increasing demand for online shopping. Further, as Tractor Supply Co.

Cloud 166

Cloud Ecommerce Performance Retail 166

Dynatrace

NOVEMBER 6, 2023

When an incident occurs, developers need to know what data to look at, where the incident occurred, and other relevant metrics. Manually sifting through data to answer these questions is time-consuming and takes time away from innovation. “Then, I add a breakpoint. and bring that to you while your program continues to run.”

Development 255

Development DevOps Programming Cloud 255

Dynatrace

APRIL 8, 2024

Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. This enables banks to manage risk with the speed and precision mandated by their markets. Grail drives insights and decisions that preserve earnings and strengthen balance sheets.

Analytics 194

Analytics Infrastructure Efficiency Technology 194

Dynatrace

DECEMBER 6, 2022

The COVID-19 pandemic accelerated the speed at which organizations digitally transform — especially in industries such as eCommerce and healthcare — as expectations for a great customer experience dramatically increased. Typically, organizations digitally transform because they need to innovate and become more agile.

Strategy 188

Strategy Artificial Intelligence Innovation Healthcare 188

Dynatrace

JULY 29, 2021

The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. If so, what is the root cause and suggested remediation?

Analytics 246

Analytics Open Source Serverless Architecture 246

CSS - Tricks

JANUARY 31, 2020

Every so often, the fruits of innovation bear fruit in the form of improvements to the foundational layers of the web. From 2016 (PDF warning) to 2019 , the average mobile download speed in the U.S. In Brazil and India, average mobile download speeds increased by 75% and 28%, respectively, in that same period of time.

Innovation 50

Innovation Mobile Best Practices Speed 50

Dynatrace

MAY 27, 2022

This automatic analysis enables engineers to spend more time innovating and improving business operations. Each piece of the AIOps triumvirate plays a crucial role in the automation process to speed innovation. Organizations can also automate diagnosis and remediation with Dynatrace’s AIOps.

Artificial Intelligence 180

Artificial Intelligence Innovation Servers Database 180

Dynatrace

APRIL 28, 2020

In addition to APM , th is platform offers our customers infrastructure monitoring spanning logs and metrics, digital business analytics, digital experience monitoring, and AIOps capabilities. Our employees listen carefully to our customers and innovate continuously. This combination sets us apart. .

DevOps 237

DevOps Innovation Monitoring Analytics 237

Dynatrace

JUNE 6, 2023

With tool sprawl and data proliferation, problem resolution is increasingly difficult and takes time away from innovation. At its core, DevOps encourages collaboration between development and operations teams to speed up software delivery. The three pillars of observability at the time were metrics, logs, and traces,” Wilson said.

DevOps 158

DevOps Engineering Innovation Best Practices 158

Dynatrace

AUGUST 9, 2023

As our experience with MOVEit shows, IoCs that remained hidden in logs alone quickly revealed themselves with observability runtime context data, such as metrics, traces, and spans. This approach addresses classic security-driven log analysis and SIEM use cases, and includes threat hunting and looking for anomalies or IoCs.

Analytics 211

Analytics Metrics Database Storage 211

Dynatrace

APRIL 11, 2023

This includes collecting metrics, logs, and traces from all applications and infrastructure components. For example, in a recent study , 55% of security teams say they don’t trust developers, and 49% of developers perceive security teams as a blocker to innovation. But organizations face barriers to this convergence.

Cloud 180

Cloud DevOps Open Source Retail 180

Dynatrace

JULY 13, 2021

While increased frequency of release cycles does allow for faster delivery of innovation to the market, it requires automation and a high level of reliability to avoid introducing risks into production systems. “Dynatrace Quality Gates has enabled us to increase speed to market with regards to feature delivery” – U.S.

Cloud 237

Cloud DevOps Benchmarking Speed 237

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 215

Open Source DevOps Java Innovation 215

Dynatrace

JULY 16, 2021

We have seen users who joined our preview program “speed up their release validation by 90%”. The innovative technology powering these recent and future use cases comes from Keptn , our recognized CNCF open-source project. Automatically configure Dynatrace, e.g., dashboards, management zones, metrics.

DevOps 243

DevOps Open Source Cloud Azure 243

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. How SLOs work.

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

Dynatrace

NOVEMBER 22, 2021

Not just logs, metrics and traces. Enable autonomous operations, boost innovation, and offer new modes of customer engagement by automating everything. But most of that budget goes toward running the business—not software innovation. The need for speed has never been more urgent in today’s hyper-digital age.

AWS 223

AWS Lambda Artificial Intelligence Serverless 223

Dynatrace

OCTOBER 24, 2022

Organizations need to release software at a high velocity to stay competitive as the pace of business accelerates, but they can’t sacrifice software quality for speed. Feature flagging has been around for many years but has recently gained popularity, largely because companies need to innovate as quickly as possible.

Software 171

Software Software Open Source Cloud 171

Dynatrace

NOVEMBER 2, 2022

Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. According to Dynatrace research, 89% of CIOs said digital transformation accelerated over the course of 2020 , and 58% predicted it will continue to speed up. Autonomous testing.

Software 189

Software Software Artificial Intelligence DevOps 189

O'Reilly

APRIL 30, 2024

Time and again, leading scientists, technologists, and philosophers have made spectacularly terrible guesses about the direction of innovation. We’ll see more innovation if emerging AI tools are accessible to everyone, such that a dispersed ecosystem of new firms, start-ups, and AI tools can arise. But not all rents are bad.

Social Media 88

Social Media Artificial Intelligence Innovation Logistics 88

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. And that has knock-on effects, hurting everything from performance to user experience to production deployment speed.

DevOps 198

DevOps Innovation Cloud Speed 198

Dynatrace

MAY 4, 2022

Because cloud-native technologies are flexible and scale automatically, teams can replace manual application monitoring and testing methods to keep pace with innovation. Although cloud-native technologies present challenges, IT teams recognize the immense value they bring to improving software quality and increasing the speed of development.

Cloud 177

Cloud DevOps Strategy Monitoring 177

Dynatrace

JULY 30, 2021

And, as we at Dynatrace have innovated through our CNCF project Keptn and just brought answer-driven release validation to our Dynatrace Cloud Automation solution it was easy to pick a new name for our new tour: “Cloud Automation Workshop Tour”. Speed up your delivery processes by automating your quality gates into your Jenkins, GitLab, ….

Cloud 212

Cloud DevOps Azure Virtualization 212

Tasktop

SEPTEMBER 17, 2019

Turns out, managing security risk in an environment where speed is one of the most important factors requires a different mindset, thus bringing things like DevSecOps to life. Let’s highlight some of these challenges to understand what is driving the change in the security mindset: Speed kills? Optimize for speed.

Innovation 53

Innovation Software Software Speed 53

Dynatrace

FEBRUARY 2, 2022

According to Google G-Suite researchers , a good availability metric should be meaningful (captures user experience), proportional (change in the metric should be proportional to the change in user-perceived availability), and actionable (insight into why the metric is low or high). Let’s take service availability for example.

DevOps 189

DevOps Metrics Best Practices Latency 189

Dynatrace

MARCH 10, 2021

They collect metrics and raise alerts, but they provide few answers as to what went wrong in the first place. We are moving into the 2020s and smart integration and automation are driving the next innovation cycle in digital transformation and enterprise software. Conventional (not built for cloud) monitoring tools are not much help.

AWS 142

AWS Cloud Artificial Intelligence Innovation 142

Tasktop

AUGUST 6, 2021

Over time this can result in a culture where employees check their brain at the door, simply obeying commands while innovation crawls to a halt. Your teams will become more engaged and your solutions more innovative and robust. . Step 2: Align on the right (seven or less) metrics. That has stuck with me over the years.

Metrics 98

Metrics Innovation Speed Network 98

Dynatrace

MAY 13, 2020

Your relentless innovation, creativity, and pursuit of ‘better’ is what we believe drives Dynatrace forward. Instead, our partners are now able to fully utilize their scale, resources and expertise to build advanced service offerings that drive automation and innovation across enterprises. Accelerated transformation.

Energy 138

Energy Innovation Analytics Monitoring 138

Dynatrace

OCTOBER 14, 2022

In a machine learning model, a statistical analysis of current metrics, events, and alerts helps build a multidimensional model of a system to provide possible explanations for observed behavior. Often, the machine learning model uses time-stamp correlation as the primary technique to relate disparate data streams.

Artificial Intelligence 170

Artificial Intelligence DevOps Analytics Cloud 170

Jos

JUNE 2, 2018

At the same time, they open a door to lots of concepts that might be overwhelming: PRPL, RAIL, Paint Timing API, TTI, HTTP/2, Speed Index, Priority Hints and more … Why Performance doesn’t get Prioritized Web performance at organizations is a real challenge. One could argue this is a metric-driven decision. Well, not so fast.

Performance 237

Performance Speed Google Media 237