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

JUNE 10, 2024

As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Improved compliance A better understanding of data security across multiple applications and environments provides a unified view of events and information. This offers two advantages for compliance.

Analytics 220

Analytics Network Hardware Open Source 220

Official Blog - World Web Technology

FEBRUARY 5, 2024

In the ever-evolving landscape of website design, the Elementor WordPress website builder has emerged as a transformative force. We will explore its capabilities and highlight why it has become a preferred choice for web designers. Elementor is a robust, user-friendly website builder designed for WordPress.

Website 59

Website Design Ecommerce Efficiency 59

Dynatrace

FEBRUARY 9, 2024

Recent platform enhancements in the latest Dynatrace, including business events powered by Grail™, make accessing the goldmine of business data flowing through your IT systems easier than ever. Business events can come from many sources, including OneAgent®, external business systems, RUM sessions, or log files.

Processing 179

Processing Monitoring Analytics Games 179

Percona

JUNE 7, 2023

PostgreSQL provides a powerful mechanism for implementing event-driven actions using triggers. Triggers on Data Definition Language (DDL) events are a powerful feature of PostgreSQL that allows you to perform additional actions in response to changes to the database schema.

Database 73

Database Best Practices Open Source C++ 73

Dynatrace

APRIL 19, 2024

Bring logic to data with easy-to-build apps As a unified observability and security platform, Dynatrace is designed to be open and customizable from the ground up. Pre-built custom dashboards enable the team to share the hourly billing data with development teams, giving them insights into how architecture and design decisions drive costs.

AWS 209

AWS Analytics Cloud Monitoring 209

The Netflix TechBlog

FEBRUARY 26, 2024

By Jose Fernandez Today, we are thrilled to announce the release of bpftop , a command-line tool designed to streamline the performance optimization and monitoring of eBPF applications. Striking a balance between eBPF’s benefits and system load is crucial, ensuring it enhances rather than hinders our operational efficiency.

Performance 174

Performance Benchmarking Programming Open Source 174

Scalegrid

MARCH 8, 2024

Executing PITR requires restoring from the full backup and then applying binary log events in sequence up to the desired point in time, with advanced techniques and third-party tools available to optimize large dataset handling and automate the recovery process. Use the ‘–log-bin’ option to designate a base name for the binary log files.

Database 162

Database Strategy Servers Best Practices 162

Dynatrace

OCTOBER 10, 2023

Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient. The Dynatrace integration leverages native features and events that pass through the pipeline. It also returns valuable time back to the SRE team.

Engineering 215

Engineering DevOps Innovation Strategy 215

Dynatrace

JANUARY 17, 2024

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. The good news is AI-augmented applications can make organizations massively more productive and efficient. Optimize AI models.

Strategy 212

Strategy Artificial Intelligence Storage Cloud 212

The Netflix TechBlog

NOVEMBER 14, 2023

In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! By the end of this series, we hope you will gain an understanding of how Psyberg transformed our data processing, making our pipelines more efficient, accurate, and timely. Let’s dive in!

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

MAY 24, 2023

Dynatrace is proud to provide deep monitoring support for Azure Linux as a container host operating system (OS) platform for Azure Kubernetes Services (AKS) to enable customers to operate efficiently and innovate faster. Microsoft initially designed the OS for internal use to develop and manage Azure services. What is Azure Linux?

Azure 216

Azure Monitoring Operating System Virtualization 216

The Netflix TechBlog

MARCH 6, 2019

After receiving multiple requests from users and investigating a few profile formats, we opted to support the Trace Event Format. The complete documentation for the format can be found here , but in a nutshell, it consists of an ordered list of events. For now, FlameScope only supports Duration and Complete event types.

Storage 100

Storage Programming Code Efficiency 100

Dynatrace

DECEMBER 21, 2023

Options at each level offer significant potential benefits, especially when complemented by practices that influence the design and purchase decisions made by IT leaders and individual contributors. Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. A PUE of 1.0

Cloud 198

Cloud Energy Best Practices Cache 198

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 236

AWS Efficiency Azure Cloud 236

Dynatrace

JANUARY 31, 2024

With siloed data sources, heterogeneous data types—including metrics, traces, logs, user behavior, business events, vulnerabilities, threats, lifecycle events, and more—and increasing tool sprawl, it’s next to impossible to offer users real-time access to data in a unified, contextualized view. Understanding the context.

Analytics 187

Analytics Processing Transportation Storage 187

Smashing Magazine

DECEMBER 17, 2021

Designing Human-Machine Interfaces For Vehicles Of The Future. Designing Human-Machine Interfaces For Vehicles Of The Future. No matter what HMI we design, we need to allow users to take advantage of all that a system has to offer. Car HMI design is a relatively new field with its specifics that you need to be aware of.

Design 109

Design Entertainment Mobile Automotive 109

InfoQ

FEBRUARY 1, 2024

Peter Lawrey discusses achieving vertical scalability by minimizing accidental complexity and using an event-driven architecture. By Peter Lawrey

Scalability 75

Scalability Efficiency Systems Architecture 75

Edge Perspectives

MARCH 26, 2019

In our Big Shift world, we confront the imperative of institutional innovation – shifting from institutional models built on scalable efficiency to institutional models built on scalable learning. I’ve written and spoken about this a lot over the years and one of the most common pushbacks I get is – “so, are you against efficiency?”

Efficiency 89

Efficiency Scalability Innovation Programming 89

Dynatrace

OCTOBER 30, 2023

The resulting vast increase in data volume highlights the need for more efficient data handling solutions. Thus, organizations face the critical problem of designing and implementing effective solutions to manage this growing data deluge and its associated implications.

Best Practices 232

Best Practices Analytics Artificial Intelligence Infrastructure 232

Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. This is only possible because of our no-index approach and massive parallel processing capabilities, which enable Dynatrace to offer extra-long data retention (15+ months) at full granularity that is cost-efficient and fast.

Analytics 218

Analytics Social Media Metrics Efficiency 218

Dynatrace

JANUARY 23, 2024

Perform serves yearly as the marquis Dynatrace event to unveil new announcements, learn about new uses and best practices, and meet with peers and partners alike. Additionally, discover how Dynatrace is easily deployed on newly migrated workloads to get instant insights into performance, utilization, security, and efficiency post-migration.

Cloud 201

Cloud Artificial Intelligence Performance AWS 201

Dynatrace

NOVEMBER 7, 2023

Centralization of platform capabilities improves efficiency of managing complex, multi-cluster infrastructure environments According to research findings from the 2023 State of DevOps Report , “36% of organizations believe that their team would perform better if it was more centralized.” Automation, automation, automation.

Engineering 262

Engineering DevOps Best Practices Infrastructure 262

The Netflix TechBlog

AUGUST 1, 2022

As the system evolves to solve more and more use cases, we have expanded its scope to handle not only the CDC use cases but also more general data movement and processing use cases such that: Events can be sourced from more generic applications (not only databases). They use different mechanisms to stream events out of the source databases.

Processing 272

Processing Transportation Entertainment Tuning 272

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. Buckets are similar to folders, a physical storage location. There is a default bucket for each table.

Artificial Intelligence 252

Artificial Intelligence Analytics Metrics Storage 252

Dynatrace

MAY 23, 2024

Such frameworks support software engineers in building highly scalable and efficient applications that process continuous data streams of massive volume. Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively.

Engineering 171

Engineering Tuning Latency Open Source 171

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Check back here throughout the event for the latest news, insights, and announcements. Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. What is explainable AI? Enter causal AI.

Performance 176

Performance DevOps Innovation Artificial Intelligence 176

Dynatrace

OCTOBER 16, 2023

The road to modern observability As organizations continue to operate in the cloud, they discover that cloud observability becomes paramount to their ability to run efficiently and securely. As customers continue to operate in the cloud, their needs for efficiency and cost-effectiveness only grow.

Innovation 186

Innovation DevOps Cloud Efficiency 186

Dynatrace

OCTOBER 7, 2021

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. The first benefit is simplicity. AWS serverless offerings. Amazon divides its serverless solutions into three broad categories with 12 specific services.

Serverless 269

Serverless AWS Lambda Storage 269

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Improved time management and event prioritization. For example: Greater IT staff efficiency. What is AIOps, and how does it work? Enhanced automation.

Artificial Intelligence 274

Artificial Intelligence Cloud Innovation Strategy 274

Scalegrid

MARCH 28, 2024

Redis Data Types and Structures The design of Redis’s data structures emphasizes versatility. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup. It is designed to cache plain text values, offering fast read and write access to frequently accessed data.

Cache 130

Cache Storage Scalability Architecture 130

The Agile Manager

MARCH 31, 2021

Some have incorrectly referred to the incident and the aftermath as a “black swan” event. Though supremely efficient at sea, Emma and the even larger ships that followed in her wake became a nightmare. But the disruption to supply chains created by the beaching of the Ever Given is not a black swan event.

Transportation 52

Transportation Retail Traffic Efficiency 52

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. It should be open by design to accelerate innovation, enable powerful integration with other tools, and purposefully unify data and analytics. Event severity.

Analytics 180

Analytics Software Software Storage 180

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. Enter causal AI.

AWS 200

AWS Artificial Intelligence Analytics Cloud 200

The Netflix TechBlog

MARCH 7, 2024

Since its inception , Metaflow has been designed to provide a human-friendly API for building data and ML (and today AI) applications and deploying them in our production infrastructure frictionlessly. Explainer flow is event-triggered by an upstream flow, such Model A, B, C flows in the illustration.

Systems 226

Systems Media Cache Open Source 226

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage 203

Storage Latency Efficiency Data Engineering 203

Scalegrid

JANUARY 9, 2024

These assist with identifying vulnerabilities through conducting thorough assessments and scanning activities specifically designed for evaluating configurations related to storage and overall vulnerability within the company’s chosen cloud service provider(s).

Strategy 130

Strategy Cloud Best Practices Government 130