Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. That can be difficult when the business climate can prioritize speed. By analyzing data on activity in real-time, teams can unlock the insights developers need to accelerate innovation. Dynatrace news.

Serverless 261

Serverless Infrastructure Innovation DevOps 261

Dynatrace

MAY 23, 2022

As a result, while cloud architecture has enabled organizations to develop applications iteratively, it also increased exposure to vulnerabilities. Above all, companies modernize and adopt a multicloud strategy to innovate, scale, and increase efficiency. AIOps capabilities drive intelligent cloud observability – blog.

Strategy 221

Strategy Innovation Cloud Serverless 221

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 183

Artificial Intelligence Performance Innovation Speed 183

Dynatrace

AUGUST 9, 2019

Welcome back to the blog series in which we summarize the findings of our Autonomous Cloud Management survey. By looking at the responses, we found that teams fall into one of three categories: Innovators: CCT between 1 hour – 2 days. So, what separates the innovators from the laggards? Dynatrace news.

Speed 115

Speed Innovation DevOps Cloud 115

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. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys. What is causal AI? What is AIOps?

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

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 214

DevOps Innovation Cloud Programming 214

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed.

Analytics 197

Analytics Infrastructure Efficiency Technology 197

Dynatrace

JULY 12, 2022

It reveals the majority of organizations have adopted multicloud environments, cloud-native architectures, and open source code libraries to support efforts to deliver new digital solutions to customers. However, this growing pressure to innovate faster is creating more risk of vulnerabilities escaping into production.

Cloud 169

Cloud Open Source Innovation Serverless 169

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. What is Log4Shell?

Open Source 218

Open Source DevOps Java Innovation 218

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. Common questions include: Where do bottlenecks occur in our architecture? How can we optimize for performance and scalability? Next steps.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

AUGUST 2, 2021

Hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. Here’s a list of some key hyperscale benefits: Speed : Hyperscale makes it easy to manage your shifting computing needs. appeared first on Dynatrace blog. But what does that look like? What is hyperscale?

Azure 262

Azure Cloud Google AWS 262

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Understand and optimize your architecture.

Serverless 234

Serverless Azure Monitoring Lambda 234

Dynatrace

AUGUST 7, 2023

This combined approach provides reliable answers for two key purposes,” wrote Dynatrace CTO Bernd Greifeneder in a May 2023 blog post. These precise answers and intelligent automations free security analysts from manual activities and enable them to focus on innovating. Check out the following resources to learn more.

DevOps 182

DevOps Analytics Best Practices Java 182

Dynatrace

MARCH 14, 2022

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.

Healthcare 225

Healthcare Artificial Intelligence Innovation Strategy 225

Dynatrace

JULY 22, 2020

Can mount a volume to speed up injection for subsequent pods. Further improvements will take advantage of our innovative injection approach. Cloud-native software design, much like microservices architecture, is founded on the premise of speed to delivery via phases, or iterations. Injection is centrally managed.

Government 163

Government Innovation Strategy Speed 163

Dynatrace

OCTOBER 20, 2020

Under intense pressure to transform in response to digitization trends and rising consumer expectations, Porsche Informatik needed a way to push its leading edge – to innovate faster, drastically reduce their time to market, and enhance the overall user experience. That’s where Red Hat OpenShift came into play.

Automotive 152

Automotive DevOps Software Software 152

Dynatrace

JUNE 1, 2022

Vulnerability management continues to be a key concern as organizations strive to innovate more rapidly and adopt cloud-native technologies to achieve their goals. But with cloud-based architecture comes greater complexity and new vulnerability challenges. Dynatrace news. Check out the full Dynatrace 2022 CISO Report results here.

Artificial Intelligence 177

Artificial Intelligence Java Strategy Cloud 177

Dynatrace

SEPTEMBER 12, 2019

I’m going to revisit the Dynatrace digital transformation in this blog, because it is also an excellent story that began our journey to Autonomous Cloud Management (ACM). Market disruptions spark innovation and radical change. Embracing disruption and sparking innovation — the new way. The transformation leap.

Games 159

Games Cloud Best Practices Innovation 159

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

AUGUST 29, 2022

While this may work for monolithic applications or environments with infrequent releases, this simply does not scale for today’s modern cloud-native environments that are based on microservices-based architectures where new releases occur more frequently from days to hours to minutes. Automating release validation.

DevOps 205

DevOps Benchmarking Cloud Monitoring 205

Dynatrace

JANUARY 19, 2022

Over the past 18 months, the need to utilize cloud architecture has intensified. As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to the activity in their multi-cloud environments. Observability vs. monitoring: What’s the difference? – Blog.

Artificial Intelligence 176

Artificial Intelligence DevOps Performance Games 176

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. Many more currently have plans to develop cloud-native applications based on microservices architectures.

Cloud 179

Cloud DevOps Strategy Monitoring 179

Dynatrace

OCTOBER 14, 2021

A full-featured deterministic AIOps solution should lead to faster, higher-quality innovation, increased IT staff efficiency, and vastly improved business outcomes. When all these areas are as automated as possible, developers and operations teams can focus on innovation rather than performing endless administrative tasks.

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

Dynatrace

JUNE 28, 2021

Reducing downtime, improving user experience, speed, reliability, and flexibility, and ensuring IT investments are delivering on promised ROI across local IT stacks and in the cloud. The post Infrastructure Monitoring tools: 3 steps to evolve ITOps into AIOps appeared first on Dynatrace blog. The challenge? Out-of-the-box AIOps.

Infrastructure 176

Infrastructure Monitoring Artificial Intelligence Open Source 176

Dynatrace

OCTOBER 28, 2021

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. Accelerates innovation. Speeds incident response. appeared first on Dynatrace blog. Dynatrace news. Advances collaboration.

Engineering 221

Engineering Entertainment Cloud Infrastructure 221

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Understand and optimize your architecture.

Serverless 140

Serverless Azure Monitoring Lambda 140

Dynatrace

FEBRUARY 4, 2021

These methods increase efficiency and speed, but they also demand consistent, repeatable processes that reduce risk and provide feedback loops for measuring operations, so teams can identify areas for improvement. The post Site reliability engineering: 5 things you need to know appeared first on Dynatrace blog. Solving for SR.

Engineering 252

Engineering DevOps Government Latency 252

All Things Distributed

APRIL 5, 2012

Customer Conversations - How Intuit and Edmodo Innovate using Amazon RDS. From tax preparation to safe social networks, Amazon RDS brings new and innovative applications to the cloud. Empowering innovation is at the heart of everything we do at Amazon Web Services (AWS). Whats unique and innovative about your service?

Innovation 146

Innovation AWS Education Network 146

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. Accelerated innovation. End-to-end observability is crucial for gaining situational awareness into cloud-native architectures. Dynatrace news.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

APRIL 18, 2022

The goal is to accelerate innovation by eliminating the need for custom automation scripts and point-to-point tool integrations. Developers also need to automate the release process to speed up deployment and reliability. The post Scale DevOps and SRE with open source Keptn appeared first on Dynatrace blog.

Open Source 184

Open Source DevOps Cloud Metrics 184

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

MARCH 10, 2021

We are moving into the 2020s and smart integration and automation are driving the next innovation cycle in digital transformation and enterprise software. This is immensely powerful, and while it can cut through noise and give you precise answers and more – it can also help you move innovatively forward by enabling automated IT operations.

AWS 143

AWS Cloud Artificial Intelligence Innovation 143

Dynatrace

FEBRUARY 4, 2021

These methods increase efficiency and speed, but they also demand consistent, repeatable processes that reduce risk and provide feedback loops for measuring operations, so teams can identify areas for improvement. The post Site reliability engineering: 5 things to you need to know appeared first on Dynatrace blog. Solving for SR.

Engineering 173

Engineering DevOps Government Latency 173

Dynatrace

MAY 15, 2020

Overcoming the barriers presented by legacy security practices that are typically manually intensive and slow, requires a DevSecOps mindset where security is architected and planned from project conception and automated for speed and scale throughout where possible. Simultaneous API calls from known bad actor states. Uncommon API usage.

Government 222

Government DevOps Infrastructure Network 222

Dynatrace

APRIL 20, 2021

Therefore, whilst security isn’t a barrier to digital transformation, it is a consideration that will impact the speed at which firms transform. Are these business silos slowing down the rate of change and innovation? Do banks have the infrastructure, resources, and expertise to make a solid digital transformation?

FinTech 138

FinTech Entertainment Strategy Games 138

Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. Properly set and defined SLOs should have error budgets that give developers space to innovate without impacting operations.

Metrics 187

Metrics Best Practices DevOps Infrastructure 187

The Netflix TechBlog

APRIL 17, 2019

It’s a nice building with good architecture! In this tech blog, we describe the relevance of this partnership to the industry and cover some of our own experiences so far. The encoder can typically be improved years after the standard has been frozen including varying speed and quality trade-offs. 264 standard was finalized.

Open Source 166

Open Source Scalability Speed Efficiency 166