Dynatrace

DECEMBER 12, 2024

At the time when I was building the most innovative observability company, security seemed too distant. Move beyond logs-only security: Embrace a comprehensive, end-to-end approach that integrates all data from observability and security. Dynatrace unifies all the different data types at scale and in context.

Analytics 289

Analytics Government Efficiency Innovation 289

Dynatrace

NOVEMBER 18, 2024

Meanwhile, cost reduction programs affect budgets, constrain technology investment, and inhibit innovation. In such a fragmented landscape, having clear, real-time insights into granular data for every system is crucial. Modernizing your technology stack will improve efficiency and save the organization money over time.

Strategy 243

Strategy Innovation Cloud Efficiency 243

Dynatrace

NOVEMBER 29, 2024

Benefits to Dynatrace customers The Dynatrace® platform for observability and security with Davis® hypermodal AI provides answers and intelligent automation from data at an enormous scale. This enables innovators to modernize and automate cloud operations, deliver software faster and more securely, and ensure flawless digital experiences.

Benchmarking 246

Benchmarking Government Innovation Cloud 246

Dynatrace

SEPTEMBER 5, 2024

Understanding that the first mile of getting data in can often be the hardest, Dynatrace continues to invest in log ingest, offering a range of out-of-the-box solutions within the Dynatrace Platform and apps. Dynatrace ActiveGate addresses these issues by enforcing configurable security settings and ensuring data uniformity.

Innovation 290

Innovation AWS Analytics Storage 290

Dynatrace

DECEMBER 2, 2024

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. This has resulted in visibility gaps, siloed data, and negative effects on cross-team collaboration. At the same time, the number of individual observability and security tools has grown.

Artificial Intelligence 258

Artificial Intelligence DevOps Architecture Cloud 258

Dynatrace

MARCH 17, 2025

In today’s digital landscape, ensuring payment card data security is paramount. Achieving PCI DSS compliance is crucial for any organization that handles card payments, as it helps prevent data breaches and fraud. Development teams can innovate with higher quality and deliver better software up to 4x faster.

Analytics 147

Analytics Innovation Network Efficiency 147

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. We’ll post news here as it happens!

Efficiency 306

Efficiency Performance Analytics DevOps 306

Dynatrace

MARCH 29, 2024

In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud.

Google 290

Google Innovation Cloud Analytics 290

DZone

JULY 31, 2024

In the trending landscape of Machine Learning and AI, companies are tirelessly innovating to deliver cutting-edge solutions for their customers. However, amidst this rapid evolution, ensuring a robust data universe characterized by high quality and integrity is indispensable.

Data Engineering 287

Data Engineering FinTech Engineering Analytics 287

Dynatrace

NOVEMBER 27, 2024

Costs and their origin are transparent, and teams are fully accountable for the efficient usage of cloud resources. These enhancements enable you to extract more value from your data, leading to wider adoption across enterprise departments. Figure 4: Set up an anomaly detector for peak cost events.

Best Practices 246

Best Practices Strategy Cloud Efficiency 246

Dynatrace

OCTOBER 23, 2024

Key insights for executives: Optimize customer experiences through end-to-end contextual analytics from observability, user behavior, and business data. Dynatrace connects service-side observability data to customers’ experiences and business outcomes. Avoid the cost of customer churn by optimizing customer experience.

Analytics 286

Analytics Logistics IoT Mobile 286

Dynatrace

MARCH 5, 2025

From developers leveraging platform engineering tools to optimize application performance, to Site Reliability Engineers (SREs) ensuring resilience, and executives gaining critical business insights, observability increases the velocity of innovation across every level of an organization.

Innovation 232

Innovation Speed Efficiency Engineering 232

Dynatrace

DECEMBER 18, 2024

With this new DPS pricing model option, customers can retain data at a fixed low cost with no additional cost to query for up to 35 days. This model provides a predictable way for customers to manage and analyze logs, drive log management tool consolidation, and reduce costs while gaining maximum value from their log data.

Analytics 246

Analytics Best Practices Efficiency Storage 246

Dynatrace

FEBRUARY 16, 2023

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 246

Analytics Innovation Metrics Database 246

Dynatrace

MAY 17, 2023

At Dynatrace, we’ve been exploring the many ways of using GPTs to accelerate our innovation on behalf of our customers and the productivity of our teams. At Perform, our annual user conference, in February 2023, we demonstrated how people can use natural or human language to query our data lakehouse.

Innovation 306

Innovation Software Software Artificial Intelligence 306

Dynatrace

OCTOBER 16, 2023

At the Dynatrace Innovate conference in Barcelona, Bernd Greifeneder, Dynatrace chief technology officer, discussed key examples of how the Dynatrace observability platform delivers value well beyond traditional monitoring. How do we make the data accessible beyond the use cases that Dynatrace gives you, beyond observability and security?”

Innovation 246

Innovation DevOps Cloud Efficiency 246

Dynatrace

MAY 8, 2023

With the world’s increased reliance on digital services and the organizational pressure on IT teams to innovate faster, the need for DevOps monitoring tools has grown exponentially. And how do DevOps monitoring tools help teams achieve DevOps efficiency? The result is faster and more data-driven decision making.

DevOps 246

DevOps Efficiency Monitoring Infrastructure 246

Dynatrace

OCTOBER 30, 2024

Dynatrace digital experience monitoring (DEM) monitors and analyzes the quality of digital experiences for users across digital channels by collecting data from multiple sources. We equip our customers with the insights necessary to enhance user experiences and improve operational efficiency.

Monitoring 245

Monitoring Innovation Mobile Strategy 245

DZone

FEBRUARY 5, 2024

In today's cloud computing world, all types of logging data are extremely valuable. Logs can include a wide variety of data, including system events, transaction data, user activities, web browser logs, errors, and performance metrics. This innovative service is transforming the way organizations handle their log data.

Analytics 278

Analytics Innovation Strategy Efficiency 278

Dynatrace

DECEMBER 5, 2023

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Legacy data center infrastructure and software support have kept all the benefits of ARM at, well… arm’s length.

Architecture 290

Architecture Efficiency Energy Monitoring 290

Dynatrace

DECEMBER 16, 2022

Software should forward innovation and drive better business outcomes. Conversely, an open platform can promote interoperability and innovation. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia. Data supports this need for organizations to flex and modernize.

Innovation 246

Innovation Software Software Cloud 246

The Netflix TechBlog

MARCH 4, 2025

The Insight TriadAPI To efficiently understand the health of a title and triage issues quickly, all implementations of the observability endpoint must answer: is the title eligible for this phase of promotion, if notwhy is it not eligible, and what can be done to fix any problems. Store the data in an optimized, highly distributed datastore.

Traffic 180

Traffic Strategy Entertainment Innovation 180

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 246

Innovation Speed Artificial Intelligence Government 246

The Netflix TechBlog

MARCH 28, 2025

Furthermore, it was difficult to transfer innovations from one model to another, given that most are independently trained despite using common data sources. Key insights from this shiftinclude: A Data-Centric Approach : Shifting focus from model-centric strategies, which heavily rely on feature engineering, to a data-centric one.

Tuning 165

Tuning Efficiency Latency Strategy 165

Dynatrace

JULY 12, 2022

Ultimately, this IT automation helps organizations garner real-time data for precise troubleshooting, robust application performance, and solid customer experience. These data insights became critical for Park ‘N Fly as it moved infrastructure to the cloud; IT resources became more dynamic and less visible.

Innovation 246

Innovation Infrastructure DevOps Azure 246

The Netflix TechBlog

SEPTEMBER 18, 2024

Second, developers had to constantly re-learn new data modeling practices and common yet critical data access patterns. To overcome these challenges, we developed a holistic approach that builds upon our Data Gateway Platform. Data Model At its core, the KV abstraction is built around a two-level map architecture.

Latency 260

Latency Storage Cache Servers 260

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 245

Azure Analytics Artificial Intelligence Innovation 245

Dynatrace

SEPTEMBER 23, 2022

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. Data explosion hinders better data insight.

Cloud 245

Cloud Artificial Intelligence Innovation Architecture 245

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 246

Performance DevOps Innovation Energy 246

Dynatrace

OCTOBER 25, 2022

If one or more anomalies occur, all relevant observability data in the domain context can be displayed with just one click. This saves valuable time for engineers and architects for innovation.” The post Prevent potential problems quickly and efficiently with Davis exploratory analysis appeared first on Dynatrace news.

Efficiency 264

Efficiency Best Practices DevOps Open Source 264

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 239

Latency Storage Traffic Tuning 239

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. This article cuts through the complexity to showcase the tangible benefits of DBMS, equipping you with the knowledge to make informed decisions about your data management strategies. What are the key advantages of DBMS?

Efficiency 147

Efficiency Storage Database Scalability 147

DZone

JULY 10, 2024

In today's rapidly evolving technological landscape, developers, engineers, and architects face unprecedented challenges in managing, processing, and deriving value from vast amounts of data.

Infrastructure 195

Infrastructure Hardware Innovation Efficiency 195

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 279

Artificial Intelligence DevOps Analytics Engineering 279

The Netflix TechBlog

DECEMBER 17, 2024

This led to a suite of fragmented scripts, runbooks, and ad hoc solutions scattered across teamsan approach that was neither sustainable nor efficient. Metadata and assets must be correctly configured, data must flow seamlessly, microservices must process titles without error, and algorithms must function as intended.

Traffic 172

Traffic Scalability Strategy Monitoring 172

The Netflix TechBlog

SEPTEMBER 18, 2020

and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley. What was your path to working in data? There’s us to the right!

Analytics 230

Analytics Education Innovation Engineering 230

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. But for software to work perfectly, organizations need to use data to optimize every phase of the software lifecycle.

Analytics 246

Analytics Software Software Storage 246