Dynatrace

FEBRUARY 16, 2023

The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.

Analytics 188

Analytics Innovation Metrics Database 188

Dynatrace

MAY 2, 2024

Tech Transforms podcast: It’s time to get familiar with generative AI – blog Generative AI can unlock boundless innovation. Generative AI in IT operations – report Read the study to discover how artificial intelligence (AI) can help IT Ops teams accelerate processes, enable digital transformation, and reduce costs.

Artificial Intelligence 214

Artificial Intelligence Cloud Best Practices DevOps 214

Dynatrace

MARCH 18, 2024

OpenTelemetry standardizes how organizations instrument, generate, and collect telemetry data for analysis and provides community-based support. Our unwavering commitment to open source initiatives underscores our mission to foster transparency, collaboration, and innovation. Innovation from the open source community.

Scalability 265

Scalability Open Source Analytics Innovation 265

Dynatrace

JUNE 16, 2020

This real-time visibility, as well as proven code-level analysis from cloud to the mainframe, gives enterprises a huge competitive advantage—they can eliminate inefficiencies and consequently, innovate at a faster rate. Easily achieve a cost-effective IBM Z configuration by monitoring relevant infrastructure metrics.

Innovation 152

Innovation Metrics Infrastructure Programming 152

Dynatrace

OCTOBER 30, 2023

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. With higher demand for innovation, IT teams are working diligently to release high-quality software faster. But this task has become challenging.

Engineering 247

Engineering DevOps Innovation Storage 247

Dynatrace

APRIL 22, 2024

In response to the scale and complexity of modern cloud-native technology, organizations are increasingly reliant on automation to properly manage their infrastructure and workflows. DevOps automation eliminates extraneous manual processes, enabling DevOps teams to develop, test, deliver, deploy, and execute other key processes at scale.

DevOps 188

DevOps Artificial Intelligence Government Innovation 188

Dynatrace

JULY 23, 2020

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements.

Metrics 213

Metrics Innovation Strategy Monitoring 213

Dynatrace

AUGUST 21, 2023

A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. To stay ahead of the curve, organizations should focus on strategic, proactive innovation and optimization. Free IT teams to focus on and support product innovation.

Analytics 146

Analytics Innovation Infrastructure Scalability 146

Dynatrace

SEPTEMBER 21, 2023

The growing adoption of innovations like generative AI, based on large-language models (LLMs), will only increase demand for cloud computing. Given the benefits of these innovations, organizations can’t afford to pull back on their efforts to build AI and shift more workloads to the cloud.  That’s why we developed Carbon Impact.

Energy 236

Energy Cloud Airlines Strategy 236

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. What is a data lakehouse?

Efficiency 278

Efficiency Performance Analytics DevOps 278

Dynatrace

OCTOBER 26, 2020

In this blog, I want to give you two examples of internal innovation projects at Dynatrace which leverage this new API, to truly show you the power – and the fun-ness of this new metric ingest ??. The idea was inspired by an innovation day project of our lab in Klagenfurt. There are many use cases for using this API. Python 3.7.3.

Innovation 155

Innovation Metrics Hardware Games 155

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives. Discover how AI is reshaping the cloud and what this means for the future of technology.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

The Netflix TechBlog

MARCH 5, 2019

This freedom allows teams and individuals to move fast to deliver on innovation and feel responsible for quality and robustness of their delivery. All these micro-services are currently operated in AWS cloud infrastructure. In the next section, we will highlight some high level areas of focus in each dimension of our infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. These DevSecOps trends will also aid teams as they integrate security and compliance into processes without slowing innovation or creating additional work for already time-strapped teams.

Serverless 267

Serverless Infrastructure Innovation DevOps 267

Dynatrace

FEBRUARY 12, 2024

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation.

Engineering 184

Engineering Development Infrastructure Cloud 184

Dynatrace

MARCH 6, 2024

To unlock the agility to drive this innovation, organizations are embracing multicloud environments and Agile delivery practices. On average, organizations use 10 different observability or monitoring tools to manage applications, infrastructure, and user experience across these environments.

Analytics 193

Analytics Innovation Strategy Storage 193

Dynatrace

NOVEMBER 17, 2023

In the first blog post of this series , we explored how the Dynatrace ® observability and security platform boosts the reliability of Site Reliability Engineers (SRE) CI/CD pipelines and enhances their ability to focus on innovation. Infrastructure layer (Kubernetes Cluster, GCP, Standalone server, etc.)

Innovation 225

Innovation Architecture Code Processing 225

Dynatrace

MARCH 15, 2024

Developers and operators can gain insights into their applications and infrastructure without fear of vendor lock-in because OpenTelemetry is fully open source and owned by CNCF. As the name suggests, an OpenTelemetry collector gathers data from multiple sources and sends it to observability backends, like Dynatrace, for analysis.

Open Source 130

Open Source Best Practices Infrastructure Tuning 130

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. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Dynatrace news.

DevOps 233

DevOps Innovation Infrastructure Analytics 233

Dynatrace

OCTOBER 19, 2023

It’s more important than ever for organizations to ensure they’re taking appropriate measures to secure and protect their applications and infrastructure. Vulnerability management Vulnerability management is the process of identifying, prioritizing, rectifying, and reporting software vulnerabilities.

Best Practices 211

Best Practices Benchmarking Speed Infrastructure 211

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 205

DevOps Metrics Engineering Analytics 205

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. RAG augments user prompts with relevant data retrieved from outside the LLM.

Cache 206

Cache Azure Infrastructure Monitoring 206

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. What is Lambda?

Lambda 227

Lambda AWS Serverless Latency 227

Dynatrace

JUNE 26, 2023

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. Automate DevOps pipelines to create better software faster to free up critical DevOps and IT time for new initiatives and innovation. Automate DevSecOps processes at scale.

Software 190

Software Software Analytics Big Data 190

Dynatrace

JUNE 6, 2023

This complexity has surfaced seven top Kubernetes challenges that strain engineering teams and ultimately slow the pace of innovation. Container orchestration platforms automate daily operations for processes such as the re-creation of failed containers and rolling deployments. What is Kubernetes? And how does it benefit organizations?

Open Source 195

Open Source Storage Analytics Innovation 195

Dynatrace

MARCH 18, 2024

Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data. It’s about ensuring the cloud and IT resources you have provisioned are used completely and that your applications, transactions, and processes are using only necessary cloud computing resources.

Best Practices 235

Best Practices Strategy Cloud AWS 235

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. To achieve these AIOps benefits, comprehensive AIOps tools incorporate four key stages of data processing: Collection. Increased business innovation.

Artificial Intelligence 288

Artificial Intelligence Cloud Innovation Strategy 288

Dynatrace

OCTOBER 30, 2023

Gartner® predicts that by 2026, 40% of log telemetry will be processed through a telemetry pipeline product, up from less than 10% in 2022.* Application performance monitoring (APM) , infrastructure monitoring, log management, and artificial intelligence for IT operations (AIOps) can all converge into a single, integrated approach.

Best Practices 246

Best Practices Analytics Artificial Intelligence Infrastructure 246

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. But when these teams work in largely manual ways, they don’t have time for innovation and strategic projects that might deliver greater value. This data-driven approach fosters continuous refinement of processes and systems.

Artificial Intelligence 265

Artificial Intelligence DevOps Analytics Engineering 265

Dynatrace

OCTOBER 25, 2022

The need for developers and innovation is now even greater. Organizations would still need a skeletal staff that can focus on innovation and oversee exception-based operations. NoOps is a concept in software development that seeks to automate processes and eliminate the need for an extensive IT operations team. What is NoOps?

DevOps 219

DevOps Big Data Cloud Innovation 219

Dynatrace

APRIL 25, 2023

Innovating with software is happening faster than ever. This is due to a number of factors, including the rise of cloud infrastructure, automation, and an abundance of prebuilt open-source libraries and third-party/supply-chain products. Agencies cannot afford to sacrifice security for innovation.

Government 216

Government Innovation Open Source Traffic 216

Dynatrace

JULY 11, 2023

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Architecture 171

Architecture Availability Infrastructure Metrics 171

Dynatrace

DECEMBER 5, 2023

Legacy data center infrastructure and software support have kept all the benefits of ARM at, well… arm’s length. No observability, no gains All these factors have made ARM an attractive computing architecture for innovative companies. Still, we at Dynatrace speak to customers who recognize this value and want to implement it.

Efficiency 268

Efficiency Architecture Energy Monitoring 268

Dynatrace

MARCH 13, 2024

The directive mandates operators of critical infrastructure and essential services to implement appropriate security measures and promptly report any incidents to the relevant authorities and affected parties. As the pace of digital transformation accelerates, the cloud applications supporting digital infrastructure become more complex.

Best Practices 230

Best Practices Education Strategy Analytics 230

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. Logs can include data about user inputs, system processes, and hardware states. Dynatrace news. billion in 2020 to $4.1 What is log monitoring?

Analytics 211

Analytics Monitoring Artificial Intelligence DevOps 211

Dynatrace

JANUARY 11, 2023

With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 224

Cloud Monitoring Best Practices Infrastructure 224

Dynatrace

NOVEMBER 20, 2023

 Using fault-tree analysis, this kind of AI provides critical detail about how its models arrive at a given conclusion. Effectively automating IT processes is key to addressing the challenges of  complex cloud environments. Relying on manual processes results in outages, increased costs, and frustrated customers.

AWS 211

AWS Artificial Intelligence Analytics Cloud 211