Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 246

Analytics Artificial Intelligence Storage Serverless 246

Dynatrace

OCTOBER 1, 2024

To manage these complexities, organizations are turning to AIOps, an approach to IT operations that uses artificial intelligence (AI) to optimize operations, streamline processes, and deliver efficiency. AI for IT operations (AIOps) uses AI for event correlation, anomaly detection, and root-cause analysis to automate IT processes.

Strategy 194

Strategy Artificial Intelligence Innovation Efficiency 194

Dynatrace

NOVEMBER 18, 2024

Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies. The Dynatrace and Microsoft partnership provides innovative solutions that enhance customer experience, improve efficiency, and generate considerable savings.

Cloud 150

Cloud Azure Artificial Intelligence Innovation 150

Dynatrace

APRIL 21, 2023

Critical application outages negatively affect citizen experience and are costly on many fronts, including citizen trust, employee satisfaction, and operational efficiency. With constraints on IT resources, downtime shifts staff away from innovation and other strategic work.

Innovation 196

Innovation Speed Artificial Intelligence Government 196

Dynatrace

OCTOBER 29, 2024

Let’s explore how leading organizations have harnessed the power of end-to-end observability—to reduce costs, drive innovation and acceleration, and deliver exceptional experiences for their customers. This meant better service reliability, reduced costs, and less time spent on incident management—enabling their teams to focus on innovation.

Innovation 231

Innovation Strategy Cloud AWS 231

Dynatrace

OCTOBER 29, 2024

Let’s explore how leading organizations have harnessed the power of end-to-end observability—to reduce costs, drive innovation and acceleration, and deliver exceptional experiences for their customers. This meant better service reliability, reduced costs, and less time spent on incident management—enabling their teams to focus on innovation.

Innovation 230

Innovation Strategy Cloud AWS 230

Dynatrace

FEBRUARY 16, 2023

Three pillars of observability converge with context and business data at the massive scale of Grail The Dynatrace Software Intelligence Platform has always brought the full value of logs, metrics, and traces together with context and user data for AI-powered analysis.

Analytics 199

Analytics Innovation Metrics Database 199

Dynatrace

NOVEMBER 18, 2024

Meanwhile, cost reduction programs affect budgets, constrain technology investment, and inhibit innovation. Retaining multiple tools generates huge volumes of alerts for analysis and action, slowing down the remediation and risk mitigation processes. How do you make this happen?

Strategy 183

Strategy Innovation Cloud Efficiency 183

Dynatrace

SEPTEMBER 21, 2023

As global warming advances, growing IT carbon footprints are pushing energy-efficient computing to the top of many organizations’ priority lists. Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms.

Energy 246

Energy Cloud Airlines Strategy 246

Dynatrace

OCTOBER 3, 2024

And when outages do occur, Dynatrace AI-powered, automatic root-cause analysis can also help them to remediate issues as quickly as possible. Hypermodal AI fuels automatic root-cause analysis to pinpoint the culprit amongst millions of service interdependencies and lines of code faster than humans can grasp.

Availability 236

Availability DevOps Analytics Cloud 236

Dynatrace

MARCH 7, 2022

Other benefits include faster software innovation, continuously improved user experiences, and increased operational efficiency, achieved with automatic and intelligent observability. Through customer interviews and financial analysis, Forrester found that a composite organization will experience benefits of $20.16

Healthcare 237

Healthcare Innovation Efficiency DevOps 237

Dynatrace

JULY 30, 2024

Having end-to-end visibility across the entire IT environment and validating our findings with customers and partners, we identified four key pain points DORA surfaces and how we think Dynatrace helps turn them into opportunities to innovate while increasing security, resiliency, and efficiency.

Government 153

Government Innovation Analytics Open Source 153

Dynatrace

MARCH 28, 2024

While generative AI has received much of the attention since 2022 for enabling innovation and efficiency, various forms of AI—generative, causal **, and predictive AI —will work together to automate processes, introduce innovation, and other activities in service of digital transformation.

C++ 198

C++ Artificial Intelligence DevOps Innovation 198

Dynatrace

AUGUST 27, 2024

This can divert attention and resources from delivering better customer experience and innovation. Leveraging code-level insights and transaction analysis, teams can detect and thwart malicious activity. Dynatrace Security Analytics can also improve the effectiveness and efficiency of threat hunts.

Best Practices 277

Best Practices Government DevOps Analytics 277

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. Increased business innovation. However, AIOps makes it possible to automate key tasks, such as error detection, alert analysis, and event reporting.

Artificial Intelligence 299

Artificial Intelligence Cloud Innovation Strategy 299

Dynatrace

JULY 30, 2024

Having end-to-end visibility across the entire IT environment and validating our findings with customers and partners, we identified four key pain points DORA surfaces and how we think Dynatrace helps turn them into opportunities to innovate while increasing security, resiliency, and efficiency.

Government 147

Government Innovation Analytics Open Source 147

Dynatrace

MARCH 6, 2024

To unlock the agility to drive this innovation, organizations are embracing multicloud environments and Agile delivery practices. This fragmented approach leaves teams struggling to access the answers they need to accelerate innovation and optimize digital services effectively.

Analytics 204

Analytics Innovation Strategy Storage 204

Adrian Cockcroft

NOVEMBER 18, 2024

In this lightning talk, learn how customers are using AWS to perform millions of calculations on real-time grid data to execute the scenario analysis, simulations, and operational planning necessary to operate a dynamic power grid.

AWS 98

AWS Energy Lambda Government 98

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 192

Azure Analytics Artificial Intelligence Innovation 192

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. “The

Engineering 255

Engineering DevOps Innovation Storage 255

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JULY 25, 2024

In addition, their logs-heavy approach to analysis made scaling processes complex and costly. By over-rotating on log analysis, Spier and his team were missing the value, cost savings, and productivity that come from having metrics, traces and logs all in one place and in context. Cost efficiency.

Strategy 238

Strategy Engineering Open Source Java 238

Dynatrace

OCTOBER 10, 2023

Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient. This improves the current project and paves the way for future innovation. Streamlining the CI/CD process to ensure optimal efficiency.

Engineering 239

Engineering DevOps Innovation Strategy 239

The Netflix TechBlog

JANUARY 10, 2024

Moving away from the use of dedicated instances that were constrained in quantity, we tapped into Netflix’s internal trough created due to autoscaling microservices, leading to significant improvements in computation elasticity as well as resource utilization efficiency. This introductory blog focuses on an overview of our journey.

Processing 234

Processing Media Latency Innovation 234

Dynatrace

JUNE 6, 2023

This complexity has surfaced seven top Kubernetes challenges that strain engineering teams and ultimately slow the pace of innovation. Kubernetes enables efficient resource utilization by easily scaling applications and services based on demand. At the same time, it also introduces a large amount of complexity. What is Kubernetes?

Open Source 206

Open Source Storage Analytics Innovation 206

Dynatrace

SEPTEMBER 5, 2023

But when these teams work in largely manual ways, they don’t have time for innovation and strategic projects that might deliver greater value. Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. Proactive resource allocation.

Artificial Intelligence 271

Artificial Intelligence DevOps Analytics Engineering 271

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

The Netflix TechBlog

NOVEMBER 17, 2022

While conventional video codecs remain prevalent, NN-based video encoding tools are flourishing and closing the performance gap in terms of compression efficiency. How do we apply neural networks at scale efficiently? In order to have a viable solution, we took several steps to improve efficiency.

Network 297

Network Media Innovation Efficiency 297

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. 7: SIEM will become irrelevant as security teams turn to intelligent threat analysis.

Technology 216

Technology Technology Artificial Intelligence Analytics 216

Dynatrace

JULY 29, 2024

Currently, there is a tough balance to achieve: Organizations need to innovate rapidly at scale, yet security remains paramount. AI is also crucial for securing data privacy, as it can more efficiently detect patterns, anomalies, and indicators of compromise. However, security concerns linger despite the potential benefits.

Analytics 188

Analytics Government DevOps Efficiency 188

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up.

AWS 221

AWS Artificial Intelligence Cloud Analytics 221

Dynatrace

MAY 2, 2024

Tech Transforms podcast: It’s time to get familiar with generative AI – blog Generative AI can unlock boundless innovation. Dynatrace Runtime Vulnerability Analysis now covers the entire application stack – blog Dynatrace adds Go vulnerability analysis on top of Java,NET, Node.js, and PHP vulnerability analysis.

Artificial Intelligence 242

Artificial Intelligence Cloud Best Practices DevOps 242

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 150

Analytics Innovation Infrastructure Scalability 150

Dynatrace

OCTOBER 17, 2022

Teams can address testing and deployment issues automatically, which streamlines continuous integration and continuous delivery pipelines and increases innovation throughput. This second solution picks up at data collection, aggregation, and analysis, preparing it for execution. Deterministic AI. The deviating metric is response time.

DevOps 210

DevOps Artificial Intelligence Healthcare Innovation 210

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 201

Software Software Analytics Big Data 201

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 216

DevOps Metrics Engineering Analytics 216