Dynatrace

DECEMBER 21, 2023

Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. This computational efficiency also reduces energy consumption, which in turn reduces carbon emissions. A PUE of 1.0

Cloud 214

Cloud Energy Best Practices Cache 214

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. What can we move?

Cloud 217

Cloud Artificial Intelligence Performance AWS 217

Dynatrace

MARCH 29, 2024

As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

Artificial Intelligence 188

Artificial Intelligence DevOps Strategy Open Source 188

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. This process is vital to an IDP’s effectiveness. An observability solution can monitor both synthetic and real-user tests to verify an application is on track.

Engineering 245

Engineering Development DevOps Infrastructure 245

Dynatrace

JULY 6, 2022

At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

Dynatrace

JANUARY 4, 2024

Users are in control of each phase of Davis AI processing to ensure data privacy, eliminate bias, and promote fairness. This approach gives users the control they need to ensure the data Davis AI trains on and processes. Transparent and explainable AI. Trusted data. Data in context.

Artificial Intelligence 239

Artificial Intelligence Strategy Traffic Virtualization 239

Dynatrace

JANUARY 5, 2023

As the globe strides into 2023 — with rapid change and macroeconomic uncertainty looming — organizations want tools and technologies that enable them to become more efficient, reduce costs, and innovate more. In its most basic form, IT automation executes scripts or processes on a schedule or in response to particular events.

Artificial Intelligence 147

Artificial Intelligence Innovation Technology Technology 147

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA automates repetitive cloud operations tasks and streamlines the flow of analytics into decision-making processes.

Analytics 193

Analytics Artificial Intelligence Big Data Open Source 193

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. This method known as GitOps would also boost the speed and efficiency of practicing DevOps organizations. The fluidity of this process is possible through automation tools compatible with Kubernetes.

DevOps 230

DevOps Infrastructure Speed Cloud 230

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.* The resulting vast increase in data volume highlights the need for more efficient data handling solutions. Set up processing rules.

Best Practices 249

Best Practices Analytics Artificial Intelligence Infrastructure 249

Percona

NOVEMBER 2, 2023

Upgrading to the newest release of MongoDB is the key to unlocking its full potential, but it’s not as simple as clicking a button; it requires meticulous planning, precise execution, and a deep understanding of the upgrade process. x: Live resharding of databases for uninterrupted sharded key changes.

Best Practices 84

Best Practices Hardware Tuning Scalability 84

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. What is AIOps, and how does it work?

Artificial Intelligence 291

Artificial Intelligence Cloud Innovation Strategy 291

Dynatrace

MAY 23, 2022

Above all, companies modernize and adopt a multicloud strategy to innovate, scale, and increase efficiency. In short, organizations can’t get mired in operational silos and inefficient work processes. Cloud application security: The next generation – eBook. Securing cloud-native applications – eBook.

Strategy 229

Strategy Innovation Cloud Serverless 229

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. But what is AIOps, exactly?

AWS 213

AWS Artificial Intelligence Analytics Cloud 213

Dynatrace

NOVEMBER 9, 2022

But the process of cloud migration brings complexity. This struggle may be because cloud modernization is a process, not a singular event—or a “lift and shift”—in which applications are ported to the cloud without being redesigned. Instead, cloud modernization is an ongoing process of assessing, optimizing, and migrating.

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

FEBRUARY 23, 2022

DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues.

Serverless 270

Serverless Infrastructure Innovation DevOps 270

Dynatrace

AUGUST 21, 2023

They need to automate manual tasks, streamline processes, and invest in new technologies. By doing so, they can improve efficiency, reduce costs, and deliver better customer experiences. And according to 451 Research, 83% of organizations plan to adapt their monitoring process. during 2021–2026.

Analytics 147

Analytics Innovation Infrastructure Scalability 147

Dynatrace

JANUARY 11, 2023

Website monitoring examines a cloud-hosted website’s processes, traffic, availability, and resource use. Teams can keep track of storage resources and processes that are provisioned to virtual machines, services, databases, and applications. Cloud-server monitoring. Cloud storage monitoring.

Cloud 227

Cloud Monitoring Best Practices Infrastructure 227

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. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code.

AWS 232

AWS Lambda Artificial Intelligence Serverless 232

Dynatrace

JANUARY 31, 2022

Shift-left is the practice of moving testing, quality, and performance evaluation early in the software development process, thus the process of shifting to the “left” side of the DevOps lifecycle. Read our DevOps eBook – A Beginners Guide to DevOps Basics. Read eBook now! Why shift-right is important.

DevOps 201

DevOps Testing Monitoring Speed 201

Dynatrace

OCTOBER 1, 2021

The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. Observability is also a critical capability of artificial intelligence for IT operations (AIOps).

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

OCTOBER 17, 2022

CloudOps includes processes such as incident management and event management. AIOps reduces the time needed to resolve an incident by automating key steps in the incident response process. The four stages of data processing. There are four stages of data processing: Collect raw data. Aggregate it for alerts.

DevOps 201

DevOps Artificial Intelligence Healthcare Innovation 201

Smashing Magazine

JUNE 8, 2021

To be effective, all these images need to be carefully orchestrated to appear on the screen fast — but as it turns out, loading images efficiently at scale isn’t a project for a quiet afternoon. Print + eBook. Print + eBook. $. Get Print + eBook. Get the eBook. Get the eBook. Print + eBook.

Media 105

Media Cache Google Best Practices 105

Dynatrace

NOVEMBER 1, 2022

Most IT incident management systems use some form of the following metrics to handle incidents efficiently and maintain uninterrupted service for optimal customer experience. It shows how efficiently your DevOps team is at quickly diagnosing a problem and implementing a fix. What are MTTD, MTTA, MTTF, and MTBF? Mean time to detect.

DevOps 212

DevOps Artificial Intelligence Metrics Network 212

Percona

APRIL 14, 2023

Below, we outline some proactive steps for achieving cost efficiency and maintaining performant database environments amid a turbulent economy: 1. Consolidate workloads: In the past, you might have wanted to split out additional replicas or cluster nodes to process specific types of workloads, such as those related to reporting.

Database 79

Database Serverless Tuning Cloud 79

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. A key step in digital transformation is migrating from traditional on-prem IT processes to adopting cloud services. Read eBook now!

Cloud 169

Cloud Traffic Best Practices Strategy 169

Dynatrace

JUNE 6, 2023

In the free ebook “ A Beginner’s Guide to DevOps ,” DevOps is defined as a set of software development and delivery best practices to close the gap between software development and IT operations. “For As a result, developers can address operational concerns earlier in the software delivery process and streamline efforts.

DevOps 165

DevOps Engineering Innovation Best Practices 165

Smashing Magazine

APRIL 28, 2021

To be effective, all these images need to be carefully orchestrated to appear on the screen fast — but as it turns out, loading images efficiently at scale isn’t a project for a quiet afternoon. Print + eBook. Print + eBook. $. Get Print + eBook. Get the eBook. Get the eBook. Print + eBook.

Media 92

Media Cache Google Best Practices 92

Dynatrace

APRIL 6, 2022

Full-stack observability eliminates this common challenge by allowing IT teams to integrate runtime application security more effectively into DevSecOps processes. Using AI for IT operations (AIOps) can help you not only cut through the noise in IT operations but also increase IT efficiency and innovate faster.

DevOps 235

DevOps Innovation Infrastructure Analytics 235

Dynatrace

NOVEMBER 10, 2020

These capabilities enable deeper insights into all areas of GCP environments, which in turn allows businesses to quickly troubleshoot performance issues, optimize container workloads, and efficiently scale cloud operations. The installation process and architecture are well documented and described in the GitHub repository.

Google 226

Google Cloud Serverless Innovation 226

Dynatrace

SEPTEMBER 3, 2020

Inevitably, this leads to one very important question addressing the efficiency of ML: can such an AI ever keep up with frequent changes and deployments? The second major concern I want to discuss is around the data processing chain. The four stages of data processing. Four stages of data processing with a costly tool switch.

Software 264

Software Software Artificial Intelligence Metrics 264

Smashing Magazine

DECEMBER 15, 2021

To many designers and developers the process of designing for mobile assumes that touch is natural, so we don’t need to pay any particular attention to the design of touch systems. These templates will help you design usable, efficient interfaces with less guesswork. The templates are included in the eBook as well!).

Mobile 103

Mobile Design Internet Internet 103

Tasktop

JUNE 20, 2022

Get the ebook on designing flow-based OKRs. Improve ways of working by focusing on making processes more efficient. Improve change approval board process to support release-when-ready. Our products maximize payment speed and accuracy to providers and streamline the process for patients. A note on scaling OKRs.

Software 96

Software Software Healthcare Mobile 96

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” Humans simply cannot manually review and analyze the massive amount of data that a modern observability solution can process automatically.

Artificial Intelligence 217

Artificial Intelligence DevOps Innovation Metrics 217

Dynatrace

MARCH 16, 2021

While some AIOps tools offer significant benefits over manual processes, not all of them can deliver the results organizations expect. AIOps solutions offer the potential to increase observability, automate processes, and enhance value at scale. The challenge? What type of AI is the best approach for AIOps? Reduced IT spend.

Artificial Intelligence 196

Artificial Intelligence Open Source Cloud Analytics 196

Dynatrace

MARCH 10, 2021

This accurate and precise intelligence is now the type of data that can be trusted to trigger auto-remediation processes proactively. Weeks, if not months, can pass until the system is honed to completely trust it with production monitoring of business-critical processes.

AWS 146

AWS Cloud Artificial Intelligence Innovation 146

Percona

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Let’s explore these benefits in more detail.

Tuning 52

Tuning Database Performance Hardware 52