Dynatrace

JANUARY 13, 2022

Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality.

DevOps 267

DevOps Speed Artificial Intelligence Innovation 267

Dynatrace

MAY 8, 2023

This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. And how do DevOps monitoring tools help teams achieve DevOps efficiency? The result is faster and more data-driven decision making. Lost efficiency.

DevOps 220

DevOps Efficiency Monitoring Infrastructure 220

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 180

Engineering Tuning Latency Open Source 180

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

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 186

Performance DevOps Innovation Artificial Intelligence 186

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. Gathering Data. Visualising the Data.

Speed 292

Speed Ecommerce Metrics Analytics 292

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?

Artificial Intelligence 208

Artificial Intelligence Storage Analytics Government 208

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 162

Tuning Speed Performance Open Source 162

Dynatrace

FEBRUARY 21, 2024

The agency can also efficiently compare the newest version of Easytravel against previous versions of the software with regression testing facilitated by SRG. 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.

Speed 206

Speed Software Software Latency 206

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. Meet project timelines with better working relationships Along with the alerts, Smith credits the success to enabling teams to view data holistically—without silos. “IT

Innovation 182

Innovation Speed Artificial Intelligence Government 182

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

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

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 301

Tuning Performance Speed Efficiency 301

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

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 124

Analytics Speed Efficiency Processing 124

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

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 191

Analytics Software Software Storage 191

Dynatrace

MAY 24, 2024

These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. With the insights they gained, the team expanded into developing workflow automations using log management and analytics powered by the Grail data lakehouse.

Technology 215

Technology Technology Analytics Innovation 215

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

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

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 200

Analytics Infrastructure Efficiency Technology 200

DZone

AUGUST 16, 2023

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing.

Cache 246

Cache Scalability Performance Latency 246

Dynatrace

DECEMBER 14, 2023

In today’s rapidly evolving business and technology landscape, organizations often prioritize the speed of development over security. Modern solutions like Snyk and Dynatrace offer a way to achieve the speed of modern innovation without sacrificing security. reduction in critical severity vulnerabilities for enterprise customers.

AWS 261

AWS Innovation Speed Efficiency 261

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

Dynatrace

NOVEMBER 7, 2023

Provide self-service platform services with dedicated UI for development teams to improve developer experience and increase speed of delivery. This centralized view serves as the hub for ingesting, visualizing, and analyzing telemetry data from different layers of the Kubernetes stack. Automation, automation, automation.

Engineering 273

Engineering DevOps Best Practices Infrastructure 273

Dynatrace

FEBRUARY 28, 2024

The containers can run anywhere, whether a private data center, the public cloud or a developer’s own computing devices. Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications.

Monitoring 182

Monitoring Artificial Intelligence Performance Healthcare 182

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. Organizations need a more proactive approach to log management to tame this proliferation of cloud data.

Best Practices 243

Best Practices Analytics Artificial Intelligence Infrastructure 243

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

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

JUNE 5, 2023

Organizations are increasingly moving to multicloud environments and adopting microservices to increase the efficiency, reliability, and scalability of their applications and services. According to recent research, 71% of CIOs say that the explosion of data is beyond human ability to manage. Consider security incidents.

Engineering 187

Engineering Speed Monitoring Efficiency 187

Dynatrace

OCTOBER 17, 2023

AI can help automate tasks, improve efficiency, and identify potential problems before they occur. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. 5) in the Gartner report. 5) in the Gartner report.

Monitoring 225

Monitoring Artificial Intelligence Performance Analytics 225

Dynatrace

OCTOBER 19, 2023

With the increasing frequency of cyberattacks, it is imperative to institute a set of cybersecurity best practices that safeguard your organization’s data and privacy. DevSecOps automation DevSecOps automation is a fundamental practice that combines security with the speed and agility of DevOps.

Best Practices 209

Best Practices Benchmarking Speed Infrastructure 209

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors.

Artificial Intelligence 186

Artificial Intelligence Analytics Efficiency Database 186

The Netflix TechBlog

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. For example?—?clinical

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

Scalegrid

DECEMBER 28, 2023

One such solution is pagination, which divides large datasets into manageable “pages” of data to be displayed or processed. How to Implement Pagination in MongoDB® Big datasets require efficient data retrieval and processing for effective management. The next() method then progresses through this set for efficient retrieval.

Best Practices 130

Best Practices Efficiency Strategy Speed 130

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. They provide flexibility in data organization and performance optimization compared to the default setup. What are MySQL general tablespaces? sec) root@mysql8:/etc/mysql/mysql.conf.d#

Storage 89

Storage Engineering Database Hardware 89