DZone

SEPTEMBER 9, 2024

Efficient data processing is crucial for businesses and organizations that rely on big data analytics to make informed decisions. One key factor that significantly affects the performance of data processing is the storage format of the data.

Big Data 278

Big Data Storage Analytics Benchmarking 278

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Data volume explosion in multicloud environments poses log issues.

Analytics 264

Analytics Storage Infrastructure Metrics 264

The Netflix TechBlog

DECEMBER 3, 2022

by Jasmine Omeke , Obi-Ike Nwoke , Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow.

Best Practices 361

Best Practices Code Testing Data Engineering 361

DZone

OCTOBER 16, 2023

When creating applications that store and analyze large amounts of data, such as time series, log data, or event-storing ones, developing a good and future-proof data model can be a difficult task. Choosing the right data types in PostgreSQL can significantly impact your database's performance and efficiency.

Best Practices 284

Best Practices Speed Database Efficiency 284

Dynatrace

MARCH 5, 2025

Developers today are expected to ship features at lightning speed while also being responsible for database health, an area that traditionally required deep expertise. Managing databases has only become more difficult with the explosion of data and complexity, and Metis is the perfect addition to extend and accelerate our capabilities.

Database 306

Database Development Tuning DevOps 306

Dynatrace

OCTOBER 29, 2024

We are in the era of data explosion, hybrid and multicloud complexities, and AI growth. Dynatrace analyzes billions of interconnected data points to deliver answers, not just data and dashboards sending signals without a path to resolution. Picture gaining insights into your business from the perspective of your users.

Innovation 288

Innovation Cloud Strategy AWS 288

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. What is a data lakehouse? How does a data lakehouse work?

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

FEBRUARY 1, 2024

Character precision on a petabyte scale Security Investigator increases the speed of investigation flows and the precision of evidence, leading to higher efficiency and faster results. View raw content details when you need them Data ingested into Grail is kept in its original format.

Speed 263

Speed Games Efficiency Processing 263

Scalegrid

MAY 13, 2020

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 12, 2023

To help you raise the quality of your investigation results, Dynatrace offers an easy way of structuring data using DPL Architect. The best thing: the whole process is performed on read when the query is executed, which means you have full flexibility and don’t need to define a structure when ingesting data. >>

Speed 235

Speed AWS C++ Availability 235

Dynatrace

DECEMBER 12, 2024

Move beyond logs-only security: Embrace a comprehensive, end-to-end approach that integrates all data from observability and security. Collect observability and security data user behavior, metrics, events, logs, traces (UMELT) once, store it together and analyze in context. For example, user behavior helps identify attacks or fraud.

Analytics 289

Analytics Government Efficiency Innovation 289

Dynatrace

OCTOBER 4, 2022

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Thus, Grail was born.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

Dynatrace

AUGUST 29, 2024

In today’s data-driven world, businesses across various industry verticals increasingly leverage the Internet of Things (IoT) to drive efficiency and innovation. Both methods allow you to ingest and process raw data and metrics. The ADS-B protocol differs significantly from web technologies.

IoT 264

IoT Analytics Transportation Metrics 264

Dynatrace

AUGUST 12, 2024

Performance, errors, and user experience Dynatrace has long understood the importance of performance as a foundational component of user experience and the impact that page speed and any friction introduced by errors have on user behavior. The addition of more and more metrics over time has only made this increasingly complex.

Airlines 290

Airlines Metrics Speed Internet 290

Dynatrace

MAY 23, 2024

The jobs executing such workloads are usually required to operate indefinitely on unbounded streams of continuous data and exhibit heterogeneous modes of failure as they run over long periods. Performance is usually a primary concern when using stream processing frameworks.

Engineering 245

Engineering Tuning Latency Open Source 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

OCTOBER 3, 2024

Considering the latest State of Observability 2024 report, it’s evident that multicloud environments not only come with an explosion of data beyond humans’ ability to manage it. It’s increasingly difficult to ingest, manage, store, and sort through this amount of data. You can find the list of use cases here.

Performance 290

Performance Architecture Innovation Latency 290

Dynatrace

APRIL 21, 2023

Observability-driven DevOps enables state agencies to deliver higher-quality software faster MNIT can make better, data-driven release decisions by integrating observability data into the DevOps team’s delivery pipelines. IT staff from different tech disciplines can look at the same data and collaborate,” Smith said.

Innovation 246

Innovation Speed Artificial Intelligence Government 246

Dynatrace

MARCH 5, 2025

This shift is driving increased adoption of the Dynatrace platform, as our customers leverage our unified observability solutionpowered by Grail, our hyperscale data lakehouse, designed to store, process, and query massive volumes of observability, security, and business data with high efficiency and speed.

Innovation 232

Innovation Speed Efficiency Engineering 232

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. But for software to work perfectly, organizations need to use data to optimize every phase of the software lifecycle. The only way to address these challenges is through observability data — logs, metrics, and traces. Teams interact with myriad data types.

Analytics 246

Analytics Software Software Storage 246

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 279

Artificial Intelligence Metrics Analytics Storage 279

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 246

Performance DevOps Innovation Artificial Intelligence 246

Dynatrace

FEBRUARY 28, 2024

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices.

Analytics 246

Analytics Metrics Media Monitoring 246

Dynatrace

FEBRUARY 21, 2024

Below is a sample SRG dashboard for these signals: Latency Latency refers to the amount of time that data takes to transfer from one point to another within a system. In the context of Easytravel, one can measure the speed at which a specific page of the application responds after a user clicks on it. Start a 15-day free trial today.

Speed 264

Speed Software Software Latency 264

Dynatrace

FEBRUARY 6, 2025

Welcome, data enthusiasts! Whether you’re a seasoned IT expert or a marketing professional looking to improve business performance, understanding the data available to you is essential. In this blog series, we’ll guide you through creating powerful dashboards that transform complex data into actionable insights.

Metrics 243

Metrics Infrastructure Monitoring Best Practices 243

Dynatrace

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” ” Welcome to the world of data observability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 272

DevOps Analytics Airlines Metrics 272

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

DZone

MARCH 7, 2024

I owe a huge debt of gratitude to both Zachary and Eliyahu — not only for the work they put into developing those libraries but also for the support they have given me as I came up to speed on both the technical and Jewish religious guidelines (halacha) needed to use them.

Java 254

Java Speed Development 254

DZone

SEPTEMBER 16, 2024

In data analysis, the need for fast query execution and data retrieval is paramount. Among numerous database management systems, ClickHouse stands out for its originality and, one could say, a specific niche, which, in my opinion, complicates its expansion in the database market.

Speed 262

Speed Database Systems 262

DZone

FEBRUARY 5, 2025

After optimizing containerized applications processing petabytes of data in fintech environments, I've learned that Docker performance isn't just about speed it's about reliability, resource efficiency, and cost optimization. Let's dive into strategies that actually work in production.

Strategy 147

Strategy FinTech Performance Speed 147

Dynatrace

DECEMBER 5, 2023

Streamline privacy requirements with flexible retention periods Data retention is a critical aspect of data handling, and it’s not just about privacy compliance—it’s about having the flexibility to optimize data storage times in Grail for your Dynatrace use cases. Grail buckets function like folders in a file system.

Storage 242

Storage Healthcare Best Practices Speed 242

Scalegrid

FEBRUARY 27, 2025

Incremental Backups: Speeds up recovery and makes data management more efficient for active databases. Faster Write Operations: Enhancements to the write-ahead log (WAL) processing double PostgreSQLs ability to handle concurrent transactions, improving uptime and data accessibility. Start your free trial today!

Speed 130

Speed Database Storage Efficiency 130

The Netflix TechBlog

FEBRUARY 14, 2025

Every image you hover over isnt just a visual placeholder; its a critical data point that fuels our sophisticated personalization engine. This nuanced integration of data and technology empowers us to offer bespoke content recommendations. This queue ensures we are consistently capturing raw events from our global userbase.

Tuning 166

Tuning Latency Efficiency Storage 166

Percona

APRIL 15, 2025

we significantly re-designed the Data Masking Component. Introduced an in-memory dictionary term cache that allows significant speed-up of dictionary operations. In Percona Server for MySQL 8.0.41 / 8.4.4, Introduced masking_dictionaries_flush() User Defined Function.

Cache 72

Cache Servers Speed Design 72

Dynatrace

MARCH 11, 2024

In recent years, technologists and business leaders have dubbed data as “the new oil.” Because both oil and data require their owners to refine them to unleash their true value. So how do you realize the vast potential of data while protecting it from threats? Is data the new oil? And friction is a speed problem.”

Artificial Intelligence 246

Artificial Intelligence Government Games Tuning 246

Dynatrace

JANUARY 11, 2023

To stay competitive in an increasingly digital landscape, organizations seek easier access to business analytics data from IT to make better business decisions faster. As organizations add more tools, it creates a demand for common tooling, shared data, and democratized access. These technologies generate a crush of observability data.

Analytics 246

Analytics Strategy Storage Technology 246

Speed Curve

APRIL 1, 2025

If you could measure the impact of site speed on your business, how valuable would that be for you? Here's the truth: The business folks in your organization probably don't care about page speed metrics. But that doesn't mean they don't care about page speed. Say hello to correlation charts – your new best friend.

Speed 52

Speed Metrics Retail Traffic 52