Dynatrace

NOVEMBER 22, 2021

Its approach to serverless computing has transformed DevOps. Dynatrace extends contextual analytics and AIOps for open observability. Enable autonomous operations, boost innovation, and offer new modes of customer engagement by automating everything. DevOps/DevSecOps with AWS. 2021 DevOps Report. Learn more here.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

SEPTEMBER 23, 2022

Log management and analytics have become a particular challenge. Instead, as IT pros adopt IT automation and AIOps (or AI for IT operations), IT teams can focus on innovative, high-value tasks that drive better business outcomes. First, if organizations want to drive greater innovation and efficiency, they need to shift.

Cloud 177

Cloud Artificial Intelligence Innovation Analytics 177

Dynatrace

AUGUST 7, 2023

These precise answers and intelligent automations free security analysts from manual activities and enable them to focus on innovating. To address this, organizations are integrating DevOps and security, or “DevSecOps,” to detect and respond to software vulnerabilities in development and production faster and more efficiently.

DevOps 185

DevOps Analytics Best Practices Java 185

Dynatrace

SEPTEMBER 23, 2022

Log management and log analytics have become a particular challenge. Instead, as IT pros adopt IT automation and AIOps (or AI for IT operations), IT teams can focus on innovative, high-value tasks that drive better business outcomes. First, if organizations want to drive greater innovation and efficiency, they need to shift.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Dynatrace

OCTOBER 19, 2023

By incorporating automated vulnerability scans within the software development lifecycle (SDLC), developers can expedite the release of innovative software features. DevSecOps automation DevSecOps automation is a fundamental practice that combines security with the speed and agility of DevOps.

Best Practices 209

Best Practices Benchmarking Speed Infrastructure 209

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.

Software 195

Software Software Artificial Intelligence DevOps 195

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 243

DevOps Innovation Monitoring Analytics 243

Dynatrace

OCTOBER 14, 2022

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions.

Artificial Intelligence 175

Artificial Intelligence DevOps Analytics Cloud 175

Dynatrace

FEBRUARY 16, 2023

The number of containers pushed from development into production continues to increase—as does the speed of container deployment. Dynatrace pre-deployment security tooling eliminates blind spots With Runtime Vulnerability Analytics (RVA), Dynatrace customers already receive a prioritized and risk-based assessment of detected vulnerabilities.

Programming 194

Programming Government Analytics Efficiency 194

Dynatrace

FEBRUARY 6, 2020

Three waves of DevOps leading to Autonomous Cloud. At Dynatrace, we have been very proud and vocal about our own DevOps transformation story that we started when we incubated what is now known as the Dynatrace Software Intelligence Platform (formerly Ruxit). DevOps Transformation at Dynatrace enacted live on stage at Perform 2017!

Cloud 184

Cloud DevOps Engineering Speed 184

Dynatrace

FEBRUARY 2, 2022

This demand creates an increasing need for DevOps teams to maintain the performance and reliability of critical business applications. As such, it’s important when creating your SLOs to avoid these common mistakes that can cause more headaches for your DevOps teams. Dynatrace news. Today, online services require near 100% uptime.

DevOps 196

DevOps Metrics Best Practices Latency 196

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. For example, a typical use case involves a web server running an analytics and reporting system.

Artificial Intelligence 186

Artificial Intelligence Innovation Servers Database 186

Dynatrace

DECEMBER 2, 2021

Properly set and defined SLOs should have error budgets that give developers space to innovate without impacting operations. Achieving 100% reliability isn’t always realistic, so using SLOs can help you figure out the balance between innovating (which could result in downtime) and delivering (which ensures users are happy).

Metrics 191

Metrics Best Practices DevOps Infrastructure 191

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

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Logs on Grail Log data is foundational for any IT analytics.

Analytics 186

Analytics Innovation Metrics Database 186

High Scalability

DECEMBER 18, 2018

Senior DevOps Engineer : Your engineering work will focus on using your deep knowledge of the web stack including firewalls, web applications, caches and data stores ­ to create innovative infrastructure architectures that are resilient, scalable, and blazingly fast. With your help we'd like to ad a few zeros to that number.

Healthcare 122

Healthcare Best Practices DevOps Cache 122

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. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

Dynatrace

NOVEMBER 7, 2023

Provide self-service platform services with dedicated UI for development teams to improve developer experience and increase speed of delivery. In addition, Dynatrace effortlessly collects crucial DORA metrics, SLOs, and business analytics data via its robust unified data platform, Dynatrace Grail™. Automation, automation, automation.

Engineering 273

Engineering DevOps Best Practices Infrastructure 273

Dynatrace

NOVEMBER 20, 2023

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. So, what is artificial intelligence? Enter causal AI. What is predictive AI? What is AIOps?

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

All Things Distributed

DECEMBER 20, 2017

Breuninger uses modern templates for software development, such as Self-Contained Systems (SCS), so that it can increase the speed of software development with agile and autonomous teams and quickly test new features. Companies that want to become successful and innovative digital players need to get better at building software solutions.We

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Adrian Cockcroft

FEBRUARY 13, 2023

SUS312 How innovators are driving more sustainable manufacturing  — Marcus Ulmefors Northvolt Director Data and ML Platforms and Muhammad Sajid AWS SA. DOP315 Sustainability in the cloud with Rust and AWS Graviton  — Emil Lerch AWS Principal DevOps Specialist and Esteban Kuber AWS Principal Software Engineer. AWS Inferentia 2.6x

AWS 64

AWS Energy Architecture Programming 64

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. Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. Dynatrace news.

Serverless 265

Serverless Infrastructure Innovation DevOps 265

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. A huge advantage of this approach is speed.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe.

DevOps 194

DevOps Analytics Airlines Metrics 194

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. DevOps teams can also benefit from full-stack observability. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting.

DevOps 231

DevOps Innovation Infrastructure Analytics 231

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. A hybrid cloud strategy could be your answer. This article will explore hybrid cloud benefits and steps to craft a plan that aligns with your unique business challenges.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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 217

DevOps Big Data Cloud Innovation 217

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 212

Artificial Intelligence DevOps Innovation Metrics 212

Dynatrace

JANUARY 19, 2022

Understanding the difference between observability and monitoring helps DevOps teams understand root causes and deliver better applications. This poses a dilemma for application teams responsible for innovation: How can they comply with ever-increasing security requirements while managing fast release cycles for hundreds of microservices?

Artificial Intelligence 179

Artificial Intelligence DevOps Performance Games 179

Dynatrace

JULY 5, 2022

As organizations look to speed their digital transformation efforts, automating time-consuming, manual tasks is critical for IT teams. AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. Increased business innovation. Dynatrace news. Aggregation.

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285

Dynatrace

MAY 15, 2020

For Federal, State and Local agencies to take full advantage of the agility and responsiveness of a DevOps approach to the software lifecycle, Security must also play an integral role across lifecycle stages. Modern DevOps permits high velocity development cycles resulting in weekly, daily, or even hourly software releases.

Government 225

Government DevOps Infrastructure Network 225

Dynatrace

FEBRUARY 12, 2024

Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE). According to Gardner, teams gradually deliver software to user groups with progressive delivery.

Engineering 182

Engineering Development Infrastructure Cloud 182

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. Breakout Sessions on Scaling DevOps and SRE, Simplifying Kubernetes, Accelerating Cloud Native Innovation, and Delivering Perfect Experiences with Full Stack Observability.

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

MAY 23, 2022

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Shifting from monolith to microservices makes it easier to test, develop, and release innovative features more rapidly. Hard on DevOps. Limited because of a single programming language.

Architecture 195

Architecture DevOps Monitoring Programming 195

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 294

Lambda AWS Programming Serverless 294

Dynatrace

OCTOBER 5, 2022

By automating vulnerability scanning as part of the SDLC, developers can release innovative features faster. DevSecOps builds on existing DevOps culture and practices, integrating security into every step of the software development lifecycle.

Best Practices 193

Best Practices Education Monitoring Government 193

Dynatrace

FEBRUARY 15, 2023

They need to create new products and maintain existing ones to deliver customer value at speed and scale while managing risk. The ability to create custom apps becomes increasingly important as organizations strive to innovate and grow. Therefore, modern observability platforms are becoming a must-have tool for these teams.

Analytics 130

Analytics Storage Cloud Code 130