Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.

Serverless 245

Serverless Efficiency Lambda Azure 245

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. This operational data could be gathered from live running infrastructures using software agents, hypervisors, or network logs, for example.

Analytics 193

Analytics Artificial Intelligence Big Data Open Source 193

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. 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.

Cloud 147

Cloud Artificial Intelligence Innovation Architecture 147

Dynatrace

MAY 2, 2024

Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. What is generative AI?

Artificial Intelligence 234

Artificial Intelligence Cloud Best Practices DevOps 234

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. AI-enabled chatbots can help service teams triage customer issues more efficiently. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights?

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Tables are a physical data model, essentially the type of observability data that you can store.

Artificial Intelligence 265

Artificial Intelligence Analytics Metrics Storage 265

Dynatrace

JANUARY 4, 2024

While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. But to be successful, data quality is critical. Teams need to ensure the data is accurate and correctly represents real-world scenarios. Consistency.

Government 205

Government Analytics Benchmarking Storage 205

Dynatrace

JANUARY 18, 2024

Automation and analysis features, in particular, have boosted operational efficiency and performance by tracking and responding to complex or information-dense situations. Explainable AI tools and practices are important for understanding and weeding out biases like this to improve output accuracy and operational efficiency.

Artificial Intelligence 217

Artificial Intelligence Healthcare Government Technology 217

Dynatrace

OCTOBER 4, 2023

Data supports this picture. Certain technologies can support these goals, such as cloud observability , workflow automation , and artificial intelligence. Adopting these capabilities can eliminate manual work and identify cyberthreats that pose risk to data and applications.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

DECEMBER 15, 2022

Soaring energy costs and rising inflation have created strong macroeconomic headwinds that force organizations to prioritize efficiency and cost reduction. However, organizational efficiency can’t come at the expense of innovation and growth. Observability trend no. It’s not just the huge increase in payloads transmitted.

Artificial Intelligence 256

Artificial Intelligence Analytics Innovation Healthcare 256

Dynatrace

OCTOBER 4, 2022

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. Limited data availability constrains value creation. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes.

Analytics 239

Analytics Artificial Intelligence Storage Serverless 239

Dynatrace

MARCH 14, 2022

Over the past decade, the industry moved from paper-based to electronic health records (EHRs)—digitizing the backbone of patient data. The healthcare industry is embracing cloud technology to improve the efficiency, quality, and security of patient care, and this year’s HIMSS Conference in Orlando, Fla., Overwhelming complexity.

Healthcare 232

Healthcare Artificial Intelligence Innovation Strategy 232

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. Meet project timelines with better working relationships Along with the alerts, Smith credits the success to enabling teams to view data holistically—without silos. “IT

Innovation 188

Innovation Speed Artificial Intelligence Government 188

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 249

Best Practices Analytics Artificial Intelligence Infrastructure 249

Scalegrid

MARCH 14, 2024

Implementing a hybrid cloud solution involves careful decision-making regarding application and data placement, migration strategies, and choosing compatible cloud service providers while ensuring seamless integration and addressing security and compliance challenges.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JANUARY 13, 2022

Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality.

DevOps 272

DevOps Speed Artificial Intelligence Innovation 272

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. Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. Dynatrace is making the value of AI real.

AWS 232

AWS Lambda Artificial Intelligence Serverless 232

Dynatrace

FEBRUARY 16, 2023

But the cloud also produces an explosion of data. And with that data comes the thorn to the cloud’s rose: increased complexity. The cloud is delivering an explosion of data and an incredible increase in its complexity. That’s why teams need a modern observability approach with artificial intelligence at its core. “We

Artificial Intelligence 199

Artificial Intelligence Analytics Cloud Innovation 199

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. Dynatrace news. But what is AIOps, exactly? And how can it support your organization? What is AIOps?

Artificial Intelligence 217

Artificial Intelligence DevOps Innovation Metrics 217

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 182

Infrastructure Monitoring Artificial Intelligence Open Source 182

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. AWS 5-pillars. Fully conceptualizing capacity requirements. Common findings.

AWS 146

AWS Artificial Intelligence Best Practices Lambda 146

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JULY 6, 2022

Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. IT automation tools can achieve enterprise-wide efficiency.

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

KeyCDN

FEBRUARY 22, 2023

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. Source: web.dev 2.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. Adding application security to development and operations workflows increases efficiency. Why is IT operations important? Automation.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

JULY 18, 2022

The OpenTelemetry project was created to address the growing need for artificial intelligence-enabled IT operations — or AIOps — as organizations broaden their technology horizons beyond on-premises infrastructure and into multiple clouds. Then, it can combine them with additional monitoring data specific to Dynatrace.

Artificial Intelligence 198

Artificial Intelligence Open Source Analytics Monitoring 198

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 are logs?

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Thus making it an ideal choice for businesses seeking a successful implementation of their multi-cloud strategy.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT. Dynatrace news.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. Of course, this is only true if the native solutions are used within the corresponding environment.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. The four stages of data processing. There are four stages of data processing: Collect raw data. Analyze the data.

DevOps 201

DevOps Artificial Intelligence Healthcare Innovation 201

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

MARCH 16, 2021

Artificial intelligence operations (AIOps) is an approach to software operations that combines AI-based algorithms with data analytics to automate key tasks and suggest solutions for common IT issues, such as unexpected downtime or unauthorized data access. Here’s how. What is AIOps and what are the challenges?

Artificial Intelligence 196

Artificial Intelligence Open Source Cloud Analytics 196

Dynatrace

MARCH 10, 2021

This week Dynatrace achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. This accurate and precise intelligence is now the type of data that can be trusted to trigger auto-remediation processes proactively. Dynatrace news.

AWS 146

AWS Cloud Artificial Intelligence Innovation 146

All Things Distributed

DECEMBER 20, 2017

How companies can use ideas from mass production to create business with data. Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Value creation through data. Strategically, IT doesn't matter.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Adrian Cockcroft

NOVEMBER 30, 2020

I’m helping manage AWS contributions to the project, as we build an open source data lake and analysis service that can be used to model climate related asset risks for investors. I’m also interested in ways that we can optimize cloud architectures to reduce their carbon footprint. Using open data for sustainable agriculture IOT207 ?—?AWS

AWS 52

AWS Artificial Intelligence IoT Energy 52

Tech News Gather

JULY 18, 2023

These apps offer several benefits for both patients and providers including convenience, accessibility, efficiency, and cost-effectiveness. Healthcare web apps improve the quality and efficiency of healthcare services as they bring down costs, and improve patient satisfaction and positive engagement.

Healthcare 52

Healthcare Social Media Development Artificial Intelligence 52