Scalegrid

MAY 13, 2020

The MPP system leverages a shared-nothing architecture to handle multiple operations in parallel. Typically an MPP system has one leader node and one or many compute nodes. This allows Greenplum to distribute the load between their different segments and use all of the system’s resources parallely to process a query.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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. What is artificial intelligence?

AWS 277

AWS Artificial Intelligence Cloud Analytics 277

Dynatrace

MARCH 14, 2022

As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation. exemplifies this trend, where cloud transformation and artificial intelligence are popular topics. Overwhelming complexity.

Healthcare 246

Healthcare Artificial Intelligence Innovation Strategy 246

Dynatrace

MARCH 27, 2024

This is further exacerbated by the fact that a significant portion of their IT budgets are allocated to maintaining outdated legacy systems. However, emerging technologies such as artificial intelligence (AI) and observability are proving instrumental in addressing this issue. First, let’s discuss observability.

Government 238

Government Network Artificial Intelligence Cloud 238

Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Leveraging artificial intelligence and continuous automation is the most promising path—to evolve from ITOps to AIOps. Dynatrace news. Worth noting?

Infrastructure 257

Infrastructure Monitoring Artificial Intelligence Open Source 257

Dynatrace

MARCH 29, 2024

Artificial intelligence, including more recent advances in generative AI , is becoming increasingly important as organizations look to modernize how IT operates. Others involve introducing new threats as AI becomes more integrated into IT systems as a whole. Some of these challenges involve basic tasks—such as data collection.

Artificial Intelligence 246

Artificial Intelligence DevOps Strategy Open Source 246

Dynatrace

JANUARY 13, 2022

More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. At Dynatrace Perform, the annual software intelligence platform conference, we will highlight new integrations that eliminate toolchain silos, tame complexity, and automate DevOps practices.

DevOps 290

DevOps Speed Artificial Intelligence Innovation 290

Dynatrace

APRIL 18, 2024

Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 246

DevOps Engineering Artificial Intelligence Infrastructure 246

Dynatrace

MARCH 28, 2024

AI and DevOps, of course The C suite is also betting on certain technology trends to drive the next chapter of digital transformation: artificial intelligence and DevOps. According to the Thomson Reuters survey, nearly 40% of respondents say they are using generative AI*–to fuel buisness digital transformation.

C++ 246

C++ Artificial Intelligence DevOps Innovation 246

DZone

FEBRUARY 2, 2024

However, managing distributed workloads across various edge nodes in a scalable and efficient manner is a complex challenge. It plays a pivotal role in ensuring that tasks are distributed effectively, resources are optimized, and the overall system operates efficiently.

IoT 204

IoT Artificial Intelligence Latency Internet 204

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. Therefore, the integration of predictive artificial intelligence (AI) in the workflows of these teams has become essential to meet service-level objectives, collaborate effectively, and boost productivity.

Artificial Intelligence 279

Artificial Intelligence DevOps Analytics Engineering 279

Dynatrace

JANUARY 18, 2024

DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. Automation and analysis features, in particular, have boosted operational efficiency and performance by tracking and responding to complex or information-dense situations.

Artificial Intelligence 277

Artificial Intelligence Healthcare Government Technology 277

Dynatrace

JULY 5, 2022

Artificial intelligence for IT operations (AIOps) uses machine learning and AI to help teams manage the increasing size and complexity of IT environments through automation. Such insights include whether the system can effectively collect, analyze, and report this data. For example: Greater IT staff efficiency.

Artificial Intelligence 325

Artificial Intelligence Cloud Innovation Strategy 325

Dynatrace

NOVEMBER 10, 2021

Artificial Intelligence (AI) is a complex, rapidly growing technology. How to adopt AI quickly and efficiently to keep up in the “AI arms race”. With massive technological environments, such as Navy ships and submarines, system complexity is continually growing. Dynatrace news. How AI is used in the Navy.

Artificial Intelligence 246

Artificial Intelligence Government Analytics Technology 246

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. Composite AI combines generative AI with other types of artificial intelligence to enable more advanced reasoning and to bring precision, context, and meaning to the outputs that generative AI produces. Technology prediction No.

Technology 264

Technology Technology Artificial Intelligence Analytics 264

Dynatrace

OCTOBER 14, 2021

Artificial intelligence for IT operations (AIOps) is an IT practice that uses machine learning (ML) and artificial intelligence (AI) to cut through the noise in IT operations, specifically incident management. This contrasts stochastic AIOps approaches that use probability models to infer the state of systems.

Artificial Intelligence 246

Artificial Intelligence DevOps Innovation Metrics 246

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. It helps our DevOps team respond and resolve systems’ problems faster,” Smith said. Dynatrace truly helps us do more with less.

Innovation 246

Innovation Speed Artificial Intelligence Government 246

Dynatrace

JANUARY 30, 2024

Is artificial intelligence (AI) here to steal government employees’ jobs? But if you don’t take the time to train the workforce in the programs or the systems you’re bringing online, you lose that effectiveness. You don’t really gain the efficiencies or the objectives that you need to be [gaining].”

Artificial Intelligence 246

Artificial Intelligence Government Innovation Programming 246

Dynatrace

NOVEMBER 24, 2020

Tracking changes to automated processes, including auditing impacts to the system, and reverting to the previous environment states seamlessly. Easy deployment of Dynatrace OneAgent with AWS Systems Manager Distributor , AWS Elastic Beanstalk , and AWS CloudFormation. AWS 5-pillars. Fully conceptualizing capacity requirements.

AWS 221

AWS Artificial Intelligence Best Practices Lambda 221

Dynatrace

JANUARY 16, 2020

In part one, we began our discussion about intellectual debt by pointing out how machine learning systems contribute to the widening gap between what works and our understanding of why it works. Part two added a few simple examples of how intellectual debt might accrue, highlighting the subtle but real drag on efficiency.

Cloud 226

Cloud Artificial Intelligence Virtualization Efficiency 226

Dynatrace

JANUARY 23, 2024

Dynatrace unified observability and security is critical to not only keeping systems high performing and risk-free, but also to accelerating customer migration, adoption, and efficient usage of their cloud of choice. Learn more about Dynatrace and GCP from the ebook 5 Key Considerations for Monitoring Google Cloud.

Cloud 264

Cloud Artificial Intelligence Performance AWS 264

Dynatrace

NOVEMBER 2, 2022

Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. This shift often requires more frequent software releases with built-in measures that ensure a strong digital immune system. Observability. Chaos engineering. Auto-remediation.

Software 246

Software Software Artificial Intelligence DevOps 246

Dynatrace

NOVEMBER 1, 2022

These metrics help to keep a network system up and running?, Containment: Implements actions to safeguard affected systems, resolves incidents quickly and escalates an event to other teams when necessary. Maintenance: Reduces the risk of an incident occurring again with root-cause analysis and continuous improvements to the system.

DevOps 276

DevOps Artificial Intelligence Metrics Network 276

Dynatrace

MAY 2, 2024

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. blog Generative AI is an artificial intelligence model that can generate new content—text, images, audio, code—based on existing data. What is generative AI? Learn more about the state of AI in 2024.

Artificial Intelligence 264

Artificial Intelligence Cloud Best Practices DevOps 264

Dynatrace

MAY 1, 2023

IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights. Operations analytics ensures IT systems perform as expected. How does IT operations analytics work? ” The post What is IT operations analytics?

Analytics 246

Analytics Artificial Intelligence Big Data Open Source 246

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. Dynatrace APM – Named a Leader in APM and yet, we’re much more. ” How to evaluate a APM solution?

Artificial Intelligence 254

Artificial Intelligence Social Media Monitoring IoT 254

Dynatrace

JULY 6, 2022

Ultimately, IT automation can deliver consistency, efficiency, and better business outcomes for modern enterprises. While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. IT automation tools can achieve enterprise-wide efficiency.

Artificial Intelligence 246

Artificial Intelligence Tuning Strategy Big Data 246

Dynatrace

DECEMBER 3, 2021

While cloud adoption continues to grow, our respondents showed a hesitancy to adopt artificial intelligence technology, even though AI could significantly increase efficiencies and accelerate modernization benefits. Being able to safely monitor the cloud will be paramount moving forward.

Cloud 246

Cloud Artificial Intelligence Government Analytics 246

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. Many organizations that have taken on DevOps methodologies still struggle with efficiency given tool fragmentation. AWS made better through AIOps.

AWS 246

AWS Lambda Artificial Intelligence Serverless 246

O'Reilly

MARCH 25, 2025

The system is inconsistent, slow, hallucinatingand that amazing demo starts collecting digital dust. Two big things: They bring the messiness of the real world into your system through unstructured data. When your system is both ingesting messy real-world data AND producing nondeterministic outputs, you need a different approach.

Systems 67

Systems Development Tuning Monitoring 67

Dynatrace

OCTOBER 4, 2022

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. This approach is cumbersome and challenging to operate efficiently at scale. Dynatrace has recognized this problem for some time, and we’ve been working hard to build a radically new approach to addressing it.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

Dynatrace

DECEMBER 16, 2019

Even small amounts of technical debt compound as new code branches from old, further embedding the shortcomings into the system. The sudden lure of artificial intelligence (AI) and machine learning (ML) systems designed for IT brings new urgency to the topic of intellectual debt.

Artificial Intelligence 228

Artificial Intelligence Traffic Efficiency Innovation 228

Dynatrace

OCTOBER 4, 2022

This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). This starts with a highly efficient ingestion pipeline that supports adding hundreds of petabytes daily. Thus, it can scale massively.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

DZone

JULY 17, 2024

Mixture of Experts (MoE) architecture in artificial intelligence is defined as a mix or blend of different "expert" models working together to deal with or respond to complex data inputs. This improves efficiency and increases system efficacy and accuracy.

Artificial Intelligence 147

Artificial Intelligence Architecture Efficiency Systems 147

Dynatrace

NOVEMBER 15, 2021

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Logs can include data about user inputs, system processes, and hardware states. Optimized system performance. What is log monitoring? Log monitoring vs log analytics.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

O'Reilly

JANUARY 21, 2025

TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. The prompt-and-pray modelwhere business logic lives entirely in promptscreates systems that are unreliable, inefficient, and impossible to maintain at scale.

Software Engineering 117

Software Engineering Efficiency Engineering Systems 117

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. The second use case involves a security engineer who becomes aware of a new threat and wants to know if any of the organization’s systems might be affected.

Artificial Intelligence 246

Artificial Intelligence Analytics Efficiency Database 246