Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Customers experience delayed time to value from the data they’re ingesting as they must take additional steps to make the data useful for troubleshooting and analysis, such as re-indexing. Increased data ingestion at reduced costs.

Retail 230

Retail Storage Best Practices Architecture 230

Dynatrace

SEPTEMBER 5, 2023

Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. As a result, many IT teams have turned to cloud observability platforms to reduce blind spots in their cloud architecture, to resolve problems rapidly, and to deliver better customer experience.

Cloud 216

Cloud Artificial Intelligence Innovation Azure 216

The Netflix TechBlog

NOVEMBER 17, 2022

Our approach to NN-based video downscaling The deep downscaler is a neural network architecture designed to improve the end-to-end video quality by learning a higher-quality video downscaler. Architecture of the deep downscaler model, consisting of a preprocessing block followed by a resizing block.

Network 292

Network Media Innovation Efficiency 292

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? Dynatrace news. How can we optimize for performance and scalability?

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

NOVEMBER 6, 2023

Dynatrace recently announced the availability of its latest core innovations for customers running the Dynatrace® platform on Microsoft Azure, including Grail. Transforming business with Azure data analytics In the evolution towards digital and cloud-native solutions, the ability to efficiently manage vast amounts of data is imperative.

Azure 174

Azure Analytics Artificial Intelligence Innovation 174

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. Understand and optimize your architecture.

Lambda 218

Lambda AWS Serverless Latency 218

Scalegrid

JANUARY 8, 2024

AI algorithms embedded in cloud architecture automate repetitive processes, streamlining workloads and reducing the chance of human error. With a multi-cloud architecture, Scalegrid offers the flexibility and competitive edge necessary for AI applications in the rapidly evolving tech environment.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JUNE 26, 2023

Software automation enables digital supply chain stakeholders — such as digital operations, DevSecOps, ITOps, and CloudOps teams — to orchestrate resources across the software development lifecycle to bring innovative, high-quality products and services to market faster. What is software analytics? The post What is software automation?

Software 181

Software Software Analytics Big Data 181

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. Figure 4 How Dynatrace enriches metrics, traces, and logs to identify problems with precise root cause analysis.

DevOps 211

DevOps Innovation Cloud Programming 211

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications. Enterprises that fail to adapt to these innovations face extinction.

Cache 199

Cache Azure Infrastructure Monitoring 199

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 237

Performance Education Innovation Software Architecture 237

Dynatrace

FEBRUARY 16, 2024

Security analytics is a discipline within IT security that focuses on proactive threat prevention using data analysis. In the past five years, delivering innovation more efficiently has remained at the forefront of customer demand. Clair filtered the alert for a time window of a couple of hours to focus her analysis.

Analytics 176

Analytics Engineering Cloud Traffic 176

Dynatrace

MARCH 18, 2024

Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data. Suboptimal architecture design. Flexible pricing models that offer discounts based on commitment or availability can greatly reduce cloud waste.

Best Practices 225

Best Practices Strategy Cloud AWS 225

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. At RSA 2022 , the theme is Transform. Automation for application security.

Strategy 218

Strategy Innovation Cloud Serverless 218

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. Workflow automation not only ensures business resilience, it can also help boost productivity and innovative thinking.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

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 223

AWS Lambda Artificial Intelligence Serverless 223

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it. Learn more.

Cloud 180

Cloud DevOps Open Source Retail 180

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. As you build applications and rely more and more on Lambda architectures you need full observability of all tiers of the supporting infrastructure.

Lambda 162

Lambda AWS Serverless Infrastructure 162

Dynatrace

FEBRUARY 16, 2023

As organizations strive to digitally transform, innovate, and grow in today’s fast-paced environment, they have increasingly turned to cloud technologies to enable business goals. Yet, as organizations embark on a cloud migration journey, they face overwhelming cloud complexity and an explosion of data to manage.

Analytics 166

Analytics Innovation Cloud Scalability 166

Dynatrace

JUNE 15, 2023

Microservices-based architecture Applications built using microservices-based architecture can operate and interact across different cloud platforms. Unfortunately, traditional security testing and software composition analysis requires significant time to return results. Why is cloud application security so critical?

Cloud 171

Cloud Open Source Architecture Monitoring 171

Dynatrace

APRIL 7, 2023

The latest Amazon Lambda innovation, Lambda Response Streaming has day-one support from Dynatrace without interruption allowing users to continue to take advantage of all the platform features. It also baselines the performance of an application under load, including response times, error rates, and behavior.

Lambda 209

Lambda AWS Serverless Latency 209

Dynatrace

JULY 7, 2022

Cumbersome legacy IT architecture is giving way to modern multicloud architectures where technologies, data, and processes converge to enable innovation. This automatic system analysis provides continuous intelligence to IT operations, DevOps, and site reliability engineering (SRE) teams. Act’ with AIOps.

Artificial Intelligence 174

Artificial Intelligence Automotive DevOps Infrastructure 174

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. 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.

Artificial Intelligence 170

Artificial Intelligence DevOps Analytics Cloud 170

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. As you build applications and rely more and more on Lambda architectures you need full observability of all tiers of the supporting infrastructure.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

MAY 31, 2023

Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

Best Practices 216

Best Practices DevOps Latency Metrics 216

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Manual troubleshooting is painful, hurts the business, and slows down innovation. Explore your logs in multicloud environments and analyze them in the context of your architecture. What’s next.

Cloud 256

Cloud Azure Analytics AWS 256

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 150

Automotive DevOps Software Software 150

Dynatrace

SEPTEMBER 20, 2022

Introducing release validations into your continuous delivery pipeline allows for automated analysis of the quality of your new software versions and planned releases. A strong DevSecOps maturity model provides several benefits for organizations, including the following: Faster innovation. The result is an improved ability to innovate.

Best Practices 255

Best Practices DevOps Education Serverless 255

O'Reilly Software

OCTOBER 23, 2018

I should start by saying this section does not offer a treatise on how to do architecture. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved. Everyone who goes to architecture school learns his work. It must be beautiful, like Venus, inspiring love.

Strategy 100

Strategy Architecture Technology Technology 100

Dynatrace

AUGUST 16, 2023

For most organizations, online service reliability that balances innovation and uptime is a primary goal. SLO monitoring is an IT process that tracks microservices architecture health based on metrics that express specific performance targets. An error budget encourages a healthy trade-off between innovation and reliability.

Monitoring 179

Monitoring DevOps Metrics Innovation 179

Dynatrace

MARCH 22, 2022

That’s why hybrid cloud architecture is a key tool in the arsenal for organizations striving to grow, modernize, and innovate. build microservices-based architecture. “This is important because it enables customization of performance analysis for various use cases and environments.

Infrastructure 222

Infrastructure Cloud Java Azure 222

Dynatrace

MAY 24, 2023

Dynatrace is proud to provide deep monitoring support for Azure Linux as a container host operating system (OS) platform for Azure Kubernetes Services (AKS) to enable customers to operate efficiently and innovate faster. Launch an analysis from a natural starting point with the node pools in mind. What is Azure Linux?

Azure 220

Azure Monitoring Operating System Virtualization 220

Dynatrace

NOVEMBER 10, 2020

With its improved GCP capabilities, Dynatrace helps you move workloads to the cloud, build great applications, and drive innovation in hybrid and multi-cloud environments. The installation process and architecture are well documented and described in the GitHub repository. Google Cloud Datastore. Google Cloud Load Balancing.

Google 213

Google Cloud Serverless Innovation 213

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 142

AWS Cloud Artificial Intelligence Innovation 142

Dynatrace

NOVEMBER 2, 2020

This will allow your IT team to focus on what matters – proactive action, innovation, and business results. Root-cause analysis: Get actionable answers to problems in real-time, down to the code level. AI-assistance: Use AI to detect anomalies and benchmark your system.

Infrastructure 193

Infrastructure Monitoring Virtualization Serverless 193

Dynatrace

JULY 6, 2022

AIOps brings an additional level of analysis to observability, as well as the ability to respond to events that warrant it. Other forms of AI, however, such as deterministic fault-tree analysis, can determine root causes based on a topological map of dependencies, which eliminates guesswork and manual verification.

Artificial Intelligence 182

Artificial Intelligence Tuning Strategy Big Data 182

Dynatrace

SEPTEMBER 4, 2020

Thanks to its event-driven architecture, Keptn can pull SLIs (=metrics) from different data sources and validate them against the SLOs. Next time Keptn must evaluate SLIs/SLOs for either quality gates, performance analysis after a performance test, or during auto-remediation, it will pull the metrics from that dashboard.

DevOps 244

DevOps Metrics Innovation Azure 244