Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Log management and log analytics have become a particular challenge. Data explosion hinders better data insight.

Cloud 147

Cloud Artificial Intelligence Innovation Architecture 147

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. In many cases, organizations don’t discover vulnerabilities until after they have been exploited.

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

FEBRUARY 10, 2023

Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. Check out the guide from last year’s event. What is a data lakehouse?

Efficiency 276

Efficiency Performance Analytics DevOps 276

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. Software automation is the practice of creating software applications to reduce or eliminate human intervention in repetitive, time-consuming IT tasks and cloud operations. What is software analytics?

Software 187

Software Software Analytics Big Data 187

All Things Distributed

MARCH 11, 2015

Cloud computing is enabling amazing new innovations both in consumer and enterprise products, as it became the new normal for organizations of all sizes. So many exciting new areas are being empowered by cloud that it is fascinating to watch. Cloud analytics are everywhere. Cloud enables self-service analytics.

Analytics 135

Analytics Cloud Healthcare Retail 135

Dynatrace

JUNE 14, 2023

And specifically, how Dynatrace can help partners deliver multicloud performance and boundless analytics for their customers’ digital transformation and success. Observability is no longer optional, but mandatory for organizations migrating to the modern cloud.”

Programming 180

Programming Analytics Innovation Best Practices 180

Dynatrace

FEBRUARY 6, 2020

Autonomous Cloud is not another lofty marketing term. Autonomous Cloud is what enables our globally distributed development teams at Dynatrace to deliver better software faster following our NoOps approach: Fully Autonomous and as a Self-Service! Three waves of DevOps leading to Autonomous Cloud. Autonomous Cloud with Dynatrace.

Cloud 184

Cloud DevOps Engineering Speed 184

DZone

NOVEMBER 20, 2023

ETL—Extract, Transform, Load—is far more than a set of operations; it's a complex dance that transforms raw data into valuable insights, serving as the critical backbone for a range of applications, from data analytics and business intelligence to real-time decision-making platforms. It’s a multidimensional answer that goes beyond speed.

Processing 124

Processing Performance Analytics Speed 124

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

NOVEMBER 5, 2023

As a Microsoft strategic partner, Dynatrace delivers answers and intelligent automation for cloud-native technologies and Azure. Read on to learn more about how Dynatrace delivers AI transformation to accelerate modern cloud strategies.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

The Netflix TechBlog

MARCH 5, 2019

All these micro-services are currently operated in AWS cloud infrastructure. Finally, provisioning our infrastructure itself is also becoming an increasingly complex task, so our data teams contribute to tools for diagnosis and automation of our cloud capacity management.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

OCTOBER 19, 2023

DevSecOps automation DevSecOps automation is a fundamental practice that combines security with the speed and agility of DevOps. This approach helps organizations deliver more secure software and infrastructure with greater efficiency and speed.

Best Practices 209

Best Practices Benchmarking Speed Infrastructure 209

Dynatrace

FEBRUARY 1, 2024

Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.”

Artificial Intelligence 186

Artificial Intelligence Analytics Efficiency Database 186

Dynatrace

DECEMBER 12, 2023

For example, nearly two-thirds (61%) of technology leaders say they will increase investment in AI over the next 12 months to speed software development. As they continue on this path, organizations expect other benefits , from enabling business users to easily customize dashboards (54%) to building interactive queries for analytics (48%).

Artificial Intelligence 206

Artificial Intelligence DevOps Analytics Strategy 206

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

Dynatrace

AUGUST 7, 2023

Observability for effective DevSecOps Traditional approaches to application security can fail to keep up with the complexity of cloud-native environments and rapid software release cycles. However, as more organizations adopt cloud-native environments, log data alone isn’t enough to detect critical evidence of exploitation activity.

DevOps 185

DevOps Analytics Best Practices Java 185

Dynatrace

NOVEMBER 22, 2021

In fact, Gartner predicts that cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025 — up from less than 40% in 2021. These modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

FEBRUARY 13, 2020

We’re able to help drive speed, take multiple data sources, bring them into a common model and drive those answers at scale.”. As the number of apps and services deployed increases, teams face increased pressure to speed up native mobile app innovation and resolve app issues quicker. Next-gen Infrastructure Monitoring.

Performance 236

Performance Analytics Mobile Innovation 236

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies. Performance.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

NOVEMBER 2, 2022

This methodology combines software design, development, automation, operations, and analytics to boost customer experience, increase application security, and reduce downtime that affects business outcomes. Software development success no longer means just meeting project deadlines. The five elements of digital immunity.

Software 195

Software Software Artificial Intelligence DevOps 195

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. What is artificial intelligence?

Artificial Intelligence 175

Artificial Intelligence DevOps Analytics Cloud 175

Dynatrace

SEPTEMBER 12, 2022

This placement recognizes Dynatrace’s focus on customers and pushing the art of what’s possible in AI and automation as it’s applied to observability, security, and business analytics. Why is Dynatrace ahead of the pack? With a strategy and execution score of 4.73 each, Dynatrace finished first, ahead of 17 other AIOps solution providers.

Strategy 130

Strategy DevOps Analytics Cloud 130

Dynatrace

SEPTEMBER 13, 2023

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

JULY 30, 2021

Progressive Delivery enables speeding up while managing the risk of software deployments and configuration changes. To make it easier let me walk you through the things I have learned in this video so you can bring Dynatrace Cloud Automation to your progressive delivery process. Dynatrace news. Step 3: SLOs.

Cloud 232

Cloud Metrics Strategy Monitoring 232

Dynatrace

MAY 24, 2021

The combined ability of Dynatrace and our partners to address this growing TAM with efficient, high-speed land and expand deals is underpinned by the 530+ cloud services and technology integrations available on the Dynatrace Hub. Cloud Alliance Partner Award: Amazon Web Services. Partner Program update – new Ignite tier.

Programming 234

Programming Cloud Virtualization Technology 234

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

MARCH 22, 2023

In today’s complex multicloud environments, ensuring that your cloud applications are protected and secure is critical. The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services.

Open Source 198

Open Source Artificial Intelligence Internet Internet 198

Smashing Magazine

AUGUST 25, 2022

How do I account for different network speeds in different environments? This solution is fine when network speeds are fast, but it can be problematic when network speeds are not fast (or fluctuate). And if there is one thing we all know — we cannot control the speed network our customers are using.

Media 108

Media Speed Network Analytics 108

Dynatrace

FEBRUARY 28, 2022

Dynatrace has been a strategic partner for organizations across the world, enabling them to reduce the complexity of dynamic clouds with end-to-end observability , integrated AIOps , and application security. Dynatrace news. For instance, traditional universities that had never offered virtual courses are now letting students learn remotely.

Virtualization 200

Virtualization Education Cloud Monitoring 200

Dynatrace

FEBRUARY 28, 2024

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. Discovery using global search.

Analytics 210

Analytics Metrics Media Monitoring 210

Testsigma

JULY 3, 2021

Honestly, this is not time-effective at all if you’re aiming for efficiency and speed. If yes — cloud-based testing is your solution. Cloud-based testing, as the name suggests, is a form of testing where end-to-end testing happens on the cloud. Scalability: A cloud-based tool offers scalability.

Cloud 57

Cloud Testing Storage DevOps 57

Dynatrace

NOVEMBER 24, 2022

As enterprises look to speed innovation, minimize risk, and modernize the way they work in the cloud, there’s a huge opportunity to redefine how IT is architected, deployed, and operated. “As we think about this opportunity, it leads to our goal, which is to successfully deliver a world that we think of as Cloud Done Right.

Innovation 158

Innovation Virtualization Programming Energy 158

Dynatrace

MAY 24, 2021

The combined ability of Dynatrace and our partners to address this growing TAM with efficient, high-speed land and expand deals is underpinned by the 530+ cloud services and technology integrations available on the Dynatrace Hub. Cloud Alliance Partner Award: Amazon Web Services. Partner Program update – new Ignite tier.

Programming 170

Programming Cloud Virtualization Technology 170

Dynatrace

MAY 5, 2021

At Perform 2021 , Dynatrace’s Kristof Renders, Services Practice Manager for Autonomous Cloud Enablement, joined Sumit Nagal, Principal Engineer at Intuit, to demonstrate how service-level objectives (SLOs) and business-level objectives (BLOs) can “shift left.” Using quality gates for measurable impacts.

Benchmarking 182

Benchmarking Latency Speed Software 182

Dynatrace

OCTOBER 4, 2022

Much of the software developed today is cloud native. However, cloud infrastructure has become increasingly complex. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. The next frontier: Data and analytics-centric software intelligence.

Analytics 191

Analytics Software Software Storage 191

Dynatrace

FEBRUARY 12, 2024

With unified observability and security, organizations can protect their data and avoid tool sprawl with a single platform that delivers AI-driven analytics and intelligent automation. Grail handles data storage, data management, and processes data at massive speed, scale, and cost efficiency,” Singh said. This is Davis CoPilot.

Analytics 181

Analytics Artificial Intelligence Engineering Technology 181

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. Organizations need a more proactive approach to log management to tame this proliferation of cloud data.

Best Practices 243

Best Practices Analytics Artificial Intelligence Infrastructure 243