Scalegrid

MAY 13, 2020

Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. The Greenplum Architecture. Greenplum Advantages. Major Use Cases. Query Optimization. over Greenplum 5.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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. Bandwidth optimization: Caching reduces the amount of data transferred over the network, minimizing bandwidth usage and improving efficiency.

Cache 246

Cache Scalability Performance Latency 246

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

Efficiency 147

Efficiency Storage Database Scalability 147

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

DZone

JANUARY 29, 2020

To resolve the problem it was suggested to find more suitable data storage. There are several limitations to store and fetch such data (all restrictions could be found in official documentation ). For some internal reasons well known Amazon S3 bucket was chosen for this purpose. The choice affected the project's unit test base.

Storage 124

Storage Efficiency Testing Database 124

High Scalability

SEPTEMBER 8, 2018

Anna is not only incredibly fast, it’s incredibly efficient and elastic too: an autoscaling, multi-tier, selectively-replicating cloud service. You get all the multicore Anna performance you want, but you don’t pay for what you don’t need.

Storage 199

Storage Performance AWS Efficiency 199

The Netflix TechBlog

SEPTEMBER 18, 2024

Firstly, developers struggled to reason about consistency, durability and performance in this complex global deployment across multiple stores. This model supports both simple and complex data models, balancing flexibility and efficiency. It also serves as central configuration of access patterns such as consistency or latency targets.

Latency 254

Latency Storage Cache Efficiency 254

Scalegrid

JUNE 22, 2020

ScaleGrid provides 30% more storage on average vs. DigitalOcean for MySQL at the same affordable price. MySQL DigitalOcean Performance Benchmark. We are going to use a common, popular plan size using the below configurations for this performance benchmark: Comparison Overview. Compare Pricing. DigitalOcean. Instance Type.

Database 217

Database Benchmarking Latency Performance 217

Dynatrace

OCTOBER 17, 2023

AI can help automate tasks, improve efficiency, and identify potential problems before they occur. In the recently published Gartner® “ Critic al Capabilities for Application Performance Monitoring and Observability,” Dynatrace scored highest for the IT Operations Use Case (4.15/5) 5) in the Gartner report. 5) in the Gartner report.

Monitoring 239

Monitoring Artificial Intelligence Performance Analytics 239

DZone

OCTOBER 30, 2024

Log-Structured Merge Trees (LSM trees) are a powerful data structure widely used in modern databases to efficiently handle write-heavy workloads. They offer significant performance benefits through batching writes and optimizing reads with sorted data structures.

Strategy 244

Strategy Storage Efficiency Database 244

Scalegrid

MAY 11, 2024

MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. This allowed for sequential access and indexed access, but random writes could cause performance issues.

Storage 130

Storage Engineering Cache Database 130

The Netflix TechBlog

OCTOBER 8, 2024

Building on these foundational abstractions, we developed the TimeSeries Abstraction  — a versatile and scalable solution designed to efficiently store and query large volumes of temporal event data with low millisecond latencies, all in a cost-effective manner across various use cases. Let’s dive into the various aspects of this abstraction.

Latency 242

Latency Storage Traffic Tuning 242

Dynatrace

SEPTEMBER 5, 2024

These developments open up new use cases, allowing Dynatrace customers to harness even more data for comprehensive AI-driven insights, faster troubleshooting, and improved operational efficiency. Customers have had a positive response to our native syslog implementation, noting its easy setup and efficiency.

Innovation 273

Innovation AWS Analytics Storage 273

Dynatrace

OCTOBER 4, 2022

This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). This decoupling ensures the openness of data and storage formats, while also preserving data in context. High-performance analytics—no indexing required.

Artificial Intelligence 278

Artificial Intelligence Analytics Storage Architecture 278

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. These are the goals of AI observability and data observability, a key theme at Dynatrace Perform 2024 , the observability provider’s annual conference, which takes place in Las Vegas from January 29 to February 1, 2024.

Performance 198

Performance DevOps Innovation Artificial Intelligence 198

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. An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance.

Strategy 234

Strategy Artificial Intelligence Storage Cloud 234

The Netflix TechBlog

SEPTEMBER 24, 2021

The ProRes codec family provides great editing performance and image quality. Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances.

Cloud 242

Cloud Media Storage Cache 242

Dynatrace

MAY 7, 2024

However, you can also use Fluent Bit as a processor because you can perform various actions on the data. which offers a range of updates: HTTP/2 support: Fluentbit now supports HTTP/2, enabling efficient data transmission with Gzip compression for OpenTelemetry data, enhancing pipeline performance. What’s new in Fluent Bit 3.0

Best Practices 255

Best Practices IoT Metrics Storage 255

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

SEPTEMBER 26, 2022

Progressive rollouts, rollbacks, storage orchestration, bin packing, self-healing, cost efficiency, and access to the Cloud Native Computing Foundation (CNCF) ecosystem carry heavy observability challenges. Correlating performance issues with Kubernetes pod evictions. Performance issues and Kubernetes pod evictions.

Storage 311

Storage Engineering Traffic Infrastructure 311

DZone

JUNE 15, 2023

In the realm of production applications, it is customary to address performance bottlenecks such as CPU and memory issues in order to identify and resolve their underlying causes. It is worth noting that this data collection process does not impact the performance of the application.

Latency 253

Latency Storage Strategy Metrics 253

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. Unlike data warehouses, however, data is not transformed before landing in storage.

Artificial Intelligence 221

Artificial Intelligence Storage Analytics Government 221

Dynatrace

OCTOBER 4, 2022

Logs assist operations, security, and development teams in ensuring the reliability and performance of application environments. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues.

Analytics 234

Analytics Storage Infrastructure Metrics 234

The Netflix TechBlog

FEBRUARY 13, 2023

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. Even after gaining access, one needed to deal with the challenges of homogeneity across different assets in terms of decoding performance, size, metadata, and general formatting.

Media 299

Media Storage Infrastructure Systems 299

Dynatrace

OCTOBER 4, 2022

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. This approach is cumbersome and challenging to operate efficiently at scale. Teams have introduced workarounds to reduce storage costs. Limited data availability constrains value creation. Create filters.

Analytics 246

Analytics Artificial Intelligence Storage Serverless 246

Scalegrid

JULY 17, 2020

JSONB supports indexing the JSON data, and is very efficient at parsing and querying the JSON data. JSONB storage has some drawbacks vs. traditional columns: PostreSQL does not store column statistics for JSONB columns. JSONB storage results in a larger storage footprint. It is a decomposed binary format to store JSON.

Storage 321

Storage Database Efficiency Processing 321

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

Serverless 293

Serverless AWS Lambda Storage 293

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. For such workloads, shared-nothing architectures beget high cost, inflexibility, poor performance, and inefficiency, which hurts production applications and cluster deployments. joins) during query processing. Disaggregation (or not).

Storage 112

Storage Engineering Cache Serverless 112

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. Peak performance analysis. Cold storage and rehydration. This is also known as root-cause analysis. Fault isolation. Indexing overhead.

Analytics 226

Analytics Storage Retail DevOps 226

The Netflix TechBlog

NOVEMBER 12, 2024

This counting service, built on top of the TimeSeries Abstraction, enables distributed counting at scale while maintaining similar low latency performance. After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods.

Latency 253

Latency Cache Infrastructure Strategy 253

Dynatrace

JANUARY 15, 2020

This extends Dynatrace visibility into Citrix user experience and Citrix platform performance. Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace Extension: SAP ABAP platform performance.

Latency 37

Latency Performance Virtualization Infrastructure 37

Dynatrace

AUGUST 26, 2020

We’re continuously investing in performance optimizations, high availability, and resilience for Dynatrace Managed deployments. Optimal metric storage management strategy. Dynatrace Managed metric storage management is reliable and delivers high performance. Impact on disk space.

Performance 151

Performance Hardware Java Storage 151

The Netflix TechBlog

OCTOBER 19, 2020

Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. We earned the trust of our engineers by developing empathy for their operational burden and by focusing on providing efficient tracer library integrations in runtime environments.

Infrastructure 239

Infrastructure Transportation Storage Open Source 239

The Netflix TechBlog

OCTOBER 27, 2020

Iceberg is widely adopted in Netflix as a data warehouse table format that addresses many of the usability and performance problems with Hive tables. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. Figure 1 shows how we use Bulldozer to move data at Netflix.

Latency 254

Latency Storage Big Data Tuning 254

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. If you don’t have insight into the software and services that operate your business, you can’t efficiently run your business. Minimizes downtime and increases efficiency.

Infrastructure 213

Infrastructure Monitoring Virtualization Serverless 213

Dynatrace

NOVEMBER 9, 2023

Nutanix overview dashboard The extension automatically gathers real-time performance data from your Nutanix clusters to monitor resource usage, cluster health, and more, all in one place. Dynatrace, in tandem with the Nutanix extension, simplifies performance monitoring and makes issue identification and resolution more efficient.

Virtualization 206

Virtualization Storage Metrics Monitoring 206

Dynatrace

SEPTEMBER 5, 2023

By identifying subtle deviations in system behavior, engineers can take preemptive measures to avert potential downtime, performance issues, or security threats. This enables efficient resource allocation, avoiding unnecessary expenses and ensuring optimal performance. Proactive resource allocation. Capacity planning.

Artificial Intelligence 271

Artificial Intelligence DevOps Analytics Engineering 271