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 247

Java Speed Development 247

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 221

Analytics Storage Infrastructure Metrics 221

Speed Curve

JANUARY 29, 2024

In the fourteen years that I've been working in the web performance industry, I've done a LOT of research, writing, and speaking about the psychology of page speed – in other words, why we crave fast, seamless online experiences. In fairness, that was in the early 2000s, and site speed was barely on anyone's radar.

Speed 134

Speed Website Mobile Cloud 134

DZone

APRIL 16, 2021

In 2019, according to Evans Data Corporation, there were 23.9 In an attempt to hold their place within the market, developers are having to speed their process up whilst delivering products of ever-increasing quality. Often speed and quality seem at odds with one another, but in reality, this isn’t the case.

Speed 278

Speed Software Software Metrics 278

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 208

Artificial Intelligence Analytics Storage Government 208

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 186

Performance DevOps Innovation Artificial Intelligence 186

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 206

Speed Software Software Latency 206

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 261

Artificial Intelligence Analytics Metrics Storage 261

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 193

Artificial Intelligence Government Games Tuning 193

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 194

DevOps Analytics Airlines Metrics 194

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 267

Artificial Intelligence Analytics Storage Architecture 267

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 182

Innovation Speed Artificial Intelligence Government 182

Smashing Magazine

OCTOBER 31, 2023

Answering Common Questions About Interpreting Page Speed Reports Answering Common Questions About Interpreting Page Speed Reports Geoff Graham 2023-10-31T16:00:00+00:00 2023-10-31T17:06:18+00:00 This article is sponsored by DebugBear Running a performance check on your site isn’t too terribly difficult.

Speed 97

Speed Google Website Metrics 97

DZone

JANUARY 9, 2024

In the data-driven landscape of today, automation has become indispensable across industries, not just to maximize efficiency but, more importantly, to ensure quality. This holds true for the critical field of data engineering as well. Automated testing methodologies are now imperative to deliver speed, accuracy, and integrity.

Data Engineering 130

Data Engineering Efficiency Engineering Testing 130

DZone

NOVEMBER 27, 2023

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability. But how do we do that?

Tuning 152

Tuning Speed Performance Open Source 152

DZone

OCTOBER 17, 2023

With the rise of agile and DevOps practices, software testing is more important than ever for delivering high-quality applications at speed. However, providing testers with the right test data remains a major bottleneck. But, while helpful, these solutions alone are not enough for implementing a truly effective test data strategy.

Strategy 130

Strategy Testing Virtualization DevOps 130

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 177

Cloud Artificial Intelligence Innovation Analytics 177

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 166

Storage Healthcare Best Practices Speed 166

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

Smashing Magazine

AUGUST 10, 2023

Running A Page Speed Test: Monitoring vs. Measuring Running A Page Speed Test: Monitoring vs. Measuring Geoff Graham 2023-08-10T08:00:00+00:00 2023-08-10T12:35:05+00:00 This article is sponsored by DebugBear There is no shortage of ways to measure the speed of a webpage. Lighthouse results.

Speed 81

Speed Monitoring Testing Network 81

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 191

Analytics Software Software Storage 191

Scalegrid

JANUARY 19, 2024

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. Understanding how to address a rollback is critical for minimizing potential data loss and maintaining seamless operations. The consequences of rollbacks are significant and should not be underestimated.

Database 130

Database Network Servers Monitoring 130

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 186

Analytics Innovation Metrics Database 186

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 147

Cloud Artificial Intelligence Innovation Analytics 147

DZone

NOVEMBER 16, 2023

As live streaming emerges as a way of doing business, the need for data analysis follows up. What's Different About Data Analytics in Live Streaming? Live streaming is one typical use case for real-time data analysis because it stresses speed.

Analytics 117

Analytics Speed Efficiency Processing 117

Percona

APRIL 26, 2023

Bringing physical backups in Percona Backup for MongoDB (PBM) was a big step toward the restoration speed. The speed of the physical restoration comes down to how fast we can copy (download) data from the remote storage. It won’t exactly work as each MongoDB collection’s data is stored in one file.

Speed 83

Speed Storage AWS Azure 83

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

The Netflix TechBlog

JULY 15, 2021

Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin Wylie is a Data Engineer on the Content Data Science and Engineering team.

Data Engineering 189

Data Engineering Engineering Entertainment Big Data 189

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 188

Analytics Strategy Storage Technology 188

DZone

NOVEMBER 15, 2023

In this article, I want to share my knowledge and opinion about the data types that are often used as an identifier. These are measurements of search speed by key and data types for the key on the database side. I will use a PostgreSQL database and a demo Java service to compare query speeds.

Database 286

Database Java Performance Speed 286

Dynatrace

JULY 11, 2023

But observability data (traces) can fill in the blanks to reveal useful evidence of possible exploitation, as proved by our analysis of the MoveIT vulnerability using Dynatrace. When exploiting the vulnerability, attackers can gain remote code injection capabilities in the MOVEit server and modify or steal sensitive data from its database.

Database 158

Database Government Games Servers 158

DZone

MARCH 11, 2024

Performance tuning in Snowflake is optimizing the configuration and SQL queries to improve the efficiency and speed of data operations. It involves adjusting various settings and writing queries to reduce execution time and resource consumption, ultimately leading to cost savings and enhanced user satisfaction.

Tuning 289

Tuning Performance Speed Efficiency 289

Dynatrace

APRIL 8, 2020

Any significant reduction in allocations will inevitably speed up your code. By reducing the number of allocated objects, you can both speed up your code and reduce object churn and garbage collection events. Speed up application code itself. Note : This way of looking at the data doesn’t indicate problems with your code.

Speed 165

Speed Code Java Lambda 165

Speed Curve

FEBRUARY 10, 2020

Page Speed Benchmarks is an interactive dashboard that lets you explore and compare web performance data for leading websites across several industries – from retail to media. With Page Speed Benchmarks, you can do things like: See what the different metrics actually mean in terms of user-perceived performance.

Benchmarking 135

Benchmarking Speed Performance Media 135

Dynatrace

FEBRUARY 15, 2023

They need to create new products and maintain existing ones to deliver customer value at speed and scale while managing risk. Teams can now use an observability platform to unify operations, business, and development data to gain automatic, precise answers about cloud environments and user experience.

Analytics 130

Analytics Storage Cloud Code 130

DZone

NOVEMBER 25, 2023

Factors like read and write speed, latency, and data distribution methods are essential. For instance, rapid read and write operations are crucial for applications requiring real-time data analytics. Yet, they are often evaluated in isolation, removed from the business context.

Database 268

Database Latency Speed Metrics 268

Dynatrace

AUGUST 10, 2021

This year’s conference agenda was packed full of choices, including: Keynotes : Topics included accelerating digital transformation, with Dynatrace CIO Mike Maciag, and Spatial Collapse: The Great Acceleration of Turning Data Into an Asset, with Tricia Wang from Sudden Compass. We’ve all heard it: data is one of your biggest assets.

DevOps 246

DevOps Innovation Big Data Cloud 246