Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. The next frontier: Data and analytics-centric software intelligence.

Analytics 196

Analytics Software Software Storage 196

CSS Wizardry

NOVEMBER 3, 2020

So many false starts, tedious workflows, and a complete lack of efficiency really made it difficult for me to find momentum. When first working on a new site-speed engagement, you need to work out quickly where the slowdowns, blindspots, and inefficiencies lie. Now, let’s move on to gaps between First Contentful Paint and Speed Index.

Speed 292

Speed Ecommerce Metrics Analytics 292

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 193

Software Software Analytics Big Data 193

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 predictive AI?

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

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

DECEMBER 12, 2023

And now, it has become integral to organizations’ efforts to drive efficiency and improve productivity. However, most organizations are still in relatively uncharted territory with their AI adoption strategies. To realize these benefits, organizations must get their AI strategy right.

Artificial Intelligence 211

Artificial Intelligence DevOps Analytics Strategy 211

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

NOVEMBER 6, 2023

This massive migration is critical to organizations’ digital transformation , placing cloud technology front and center and elevating the need for greater visibility, efficiency, and scalability delivered by a unified observability and security platform. The speed of change is only going to accelerate, thus requiring more innovation.

Azure 177

Azure Technology Technology Cloud 177

Abhishek Tiwari

OCTOBER 1, 2023

In the rapidly changing landscape of business, having a well-defined strategy is crucial for success. A good strategy should address the core problems or challenges faced by a business, provide guiding principles on how to tackle them, and be supported by the coherent actions and right resources.

Strategy 52

Strategy Media Social Media Efficiency 52

Dynatrace

NOVEMBER 5, 2023

Read on to learn more about how Dynatrace delivers AI transformation to accelerate modern cloud strategies. Many organizations that were paralyzed by evaluating technology investments in the past are now speeding toward innovation and swift execution using cloud-native technologies and Microsoft Azure to meet strategic business goals.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

Dynatrace

AUGUST 28, 2023

While digital experience has many facets, transaction speed usually ranks among the most important. From first to lasting impressions But there’s more to digital experience than speed. Decentralized last-mile delivery strategies such as micro-fulfillment centers complicate inventory management and order fulfillment oversight.

Retail 208

Retail Logistics Innovation Analytics 208

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. The public cloud provides flexibility and cost efficiency through utilizing a provider’s resources. These include on-premises data centers which offer specific business benefits.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

MARCH 28, 2024

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup. Memory Efficiency Compared When it comes to memory efficiency, Redis and Memcached have different strengths.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

AUGUST 7, 2023

Pairing generative AI with causal AI One key strategy is to pair generative AI with causal AI , providing organizations with better-quality data and answers as they make key decisions. To speed detection and streamline remediation, organizations need detailed insight into security issues across their environments and applications.

DevOps 190

DevOps Analytics Best Practices Java 190

Dynatrace

JULY 5, 2022

As organizations look to speed their digital transformation efforts, automating time-consuming, manual tasks is critical for IT teams. In fact, according to a Forrester Consulting report , implementing an AIOps approach that provides proactive visibility helped companies improve operational efficiency and reduce false-positive alerts by 95%.

Artificial Intelligence 291

Artificial Intelligence Cloud Innovation Strategy 291

Dynatrace

SEPTEMBER 12, 2022

This placement recognizes Dynatrace’s focus on customers and pushing the art of what’s possible in AI and automation as it’s applied to observability, security, and business analytics. With a strategy and execution score of 4.73 The highest score in strategy was attributed to Dynatrace’s focus on self-healing and proactive automation.

Strategy 130

Strategy DevOps Analytics Cloud 130

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. To ensure resilience, ITOps teams simulate disasters and implement strategies to mitigate downtime and reduce financial loss. Adding application security to development and operations workflows increases efficiency. Reliability.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

MAY 23, 2024

Such frameworks support software engineers in building highly scalable and efficient applications that process continuous data streams of massive volume. After failures, Kafka Streams’ partition assignment strategy, triggered by rebalances, causes its executions to accumulate more lag. This significantly increases event latency.

Engineering 185

Engineering Tuning Latency Open Source 185

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. AIOps tools can help you streamline operations.

AWS 233

AWS Lambda Artificial Intelligence Serverless 233

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. A huge advantage of this approach is speed. Alert fatigue and chasing false positives are not only efficiency problems.

DevOps 202

DevOps Artificial Intelligence Healthcare Innovation 202

O'Reilly Software

OCTOBER 23, 2018

A look at the roles of architect and strategist, and how they help develop successful technology strategies for business. I'm offering an overview of my perspective on the field, which I hope is a unique and interesting take on it, in order to provide context for the work at hand: devising a winning technology strategy for your business.

Strategy 100

Strategy Architecture Technology Technology 100

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. Armed with an understanding of their monitoring maturity, organizations can develop a strategy for harnessing their data to automate more of their operations.

Infrastructure 182

Infrastructure Monitoring Artificial Intelligence Open Source 182

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 197

Artificial Intelligence Open Source Cloud Analytics 197

Dynatrace

FEBRUARY 6, 2020

Over the years we have seen three major waves of evolution for us: Speed, Stability and Scale. In order to better explain why we are talking about Autonomous Cloud, what it means and how you can apply our lessons learned, let me explain the three waves of transformation in more detail: Wave one: DevOps to increase speed.

Cloud 184

Cloud DevOps Engineering Speed 184

The Netflix TechBlog

NOVEMBER 20, 2023

We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. Apache Iceberg Iceberg is a high-performance format for huge analytic tables. It is highly efficient with a low cost. Users configure the workflow to read the data in a window (e.g.

Processing 210

Processing Big Data Efficiency Engineering 210

Smashing Magazine

OCTOBER 24, 2023

Analytics is a good example. Writing a hand-spun analytics tracking dashboard isn’t what my clients really want to pay me for, so I’ll drop in the ol’ Google Analytics script and maybe never think of it again. Large preview ) That’s a nice big view and is a good illustration of TBT’s impact on page speed.

Google 91

Google Analytics Traffic Metrics 91

Dynatrace

DECEMBER 8, 2020

In our increasingly digital world, the speed of innovation is key to business success. As a result, e xisting application security approaches can’t keep up with this speed and vari ability of modern development processes. . One single platform drives efficient DevSecOps collaboration and automated vulnerability management.

Cloud 294

Cloud Open Source Internet Internet 294

Smashing Magazine

AUGUST 3, 2023

These pages serve as a pivotal tool in our digital marketing strategy, not only providing valuable information about our services but also designed to be easily discoverable through search engines. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority.

Performance 74

Performance Cache Traffic Metrics 74

Testsigma

AUGUST 26, 2021

For agile teams, applying test orchestration to their testing strategy is quite rewarding as it accelerates testing and offers a holistic view of the testing process. Often regarded as the building blocks of automated testing — the whole point of test orchestration is to optimize the test strategy on a holistic level. Source: BMC.

Testing 52

Testing Strategy DevOps Testing Tools 52

Smashing Magazine

MARCH 25, 2021

Of the many factors that affect page-load speed, media is a significant one. At this stage, you might need to review your Real User Monitoring (RUM) and Analytics and identify the critical pages that lead to higher conversion and engagement rates. A case in point: a page-load slowdown of a mere second could cost Amazon $1.6

Media 118

Media Performance Mobile Latency 118

Tasktop

JUNE 6, 2022

Last week, Dr. Mik Kersten and Felipe Castro addressed these challenges head-on during a webinar on Transformative OKRs: Translating Business Strategy into Measurable Outcomes. Current Flow Metrics and analytics will help you create hypotheses and make it clear where you should apply resources. . Watch the full OKR webinar here.

Metrics 52

Metrics Strategy Best Practices Analytics 52

Smashing Magazine

NOVEMBER 22, 2021

We deployed these enhancements gradually over time to ensure that our users didn’t experience any disruptions, but instead only a consistent improvement of their site speed. This includes building websites, hosting websites, managing campaigns, SEO, analytics, CRM, and much more. Creating A Performance Culture.

Website 126

Website Performance Google Media 126

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.

Performance 145

Performance Cache Media Metrics 145

The Morning Paper

SEPTEMBER 8, 2019

I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. In total, the clusters store a few exabytes of data and are primarily responsible for all of the batch analytics at Microsoft. VLDB’19. Approximate query support.

Big Data 57

Big Data Analytics Latency Azure 57

All Things Distributed

MAY 3, 2017

The power of persistence versus the speed of adjustment. And control is not the only change: IoT creates many new data streams that, through cloud analytics, provide companies with much deeper insight into their operations and customer engagement. " Efficient individualization. has not even been fully leveraged yet.

Logistics 72

Logistics IoT Analytics Innovation 72