Percona

JUNE 30, 2023

Percona, a leading provider of open-source database software and services, announced the general availability of Percona Operator for PostgreSQL version 2. IT teams must ensure high availability, scalability, and security, all while ensuring that their PostgreSQL clusters perform optimally. In version 1.x,

Availability 98

Availability Open Source Azure Hardware 98

Scalegrid

NOVEMBER 29, 2023

The rise of Database-as-a-Service (DBaaS) is not just a trend but a strategic response to the growing complexities of data management. As CTOs, database developers & experts, and DBAs seek more efficient, secure, and scalable cloud services solutions, DBaaS emerges as a compelling choice. Your data will always be intact.

Healthcare 130

Healthcare Hardware Database Scalability 130

Percona

MAY 1, 2023

PostgreSQL performance optimization aims to improve the efficiency of a PostgreSQL database system by adjusting configurations and implementing best practices to identify and resolve bottlenecks, improve query speed, and maximize database throughput and responsiveness. What is PostgreSQL performance tuning? Nobody has time for that!

Tuning 52

Tuning Efficiency Database Performance 52

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving.

Artificial Intelligence 197

Artificial Intelligence DevOps Hardware Virtualization 197

High Scalability

DECEMBER 16, 2022

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. This model of computing has become increasingly popular in recent years, as it offers a number of benefits, including cost savings, flexibility, scalability, and increased efficiency.

Cloud 201

Cloud Serverless Internet Internet 201

The Netflix TechBlog

FEBRUARY 5, 2020

AV1 is a high performance, royalty-free video codec that provides 20% improved compression efficiency over our VP9† encodes. Our support for AV1 represents Netflix’s continued investment in delivering the most efficient and highest quality video streams. AV1-libaom compression efficiency as measured against VP9-libvpx.

Media 162

Media Open Source Mobile Hardware 162

The Netflix TechBlog

FEBRUARY 5, 2020

AV1 is a high performance, royalty-free video codec that provides 20% improved compression efficiency over our VP9† encodes. Our support for AV1 represents Netflix’s continued investment in delivering the most efficient and highest quality video streams. AV1-libaom compression efficiency as measured against VP9-libvpx.

Media 162

Media Open Source Mobile Hardware 162

The Netflix TechBlog

NOVEMBER 9, 2021

by Liwei Guo , Ashwin Kumar Gopi Valliammal , Raymond Tam , Chris Pham , Agata Opalach , Weibo Ni AV1 is the first high-efficiency video codec format with a royalty-free license from Alliance of Open Media (AOMedia), made possible by wide-ranging industry commitment of expertise and resources. Some titles (e.g.,

Media 246

Media Open Source Efficiency Software Engineering 246

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience. Here are three.

Cloud 162

Cloud Traffic Best Practices Strategy 162

Dynatrace

AUGUST 26, 2020

“ Dynatrace just makes observability easy—it works out-of-the-box, no silos of data, no DIY stitching together tools, no wasted time, and no wasted resources.” There’s no other competing software that can provide this level of value with minimum effort and optimal hardware utilization that can scale up to web-scale!

Performance 150

Performance Hardware Java Storage 150

Percona

JUNE 22, 2023

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance 108

Performance Monitoring Traffic Database 108

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Data entering a stream. Dynatrace news. What is AWS Lambda? How does AWS Lambda work?

Lambda 177

Lambda AWS Serverless Hardware 177

Dynatrace

AUGUST 5, 2022

However, that assumes he or she is available and has time to talk. For nonurgent messages, texting is a more efficient approach. Additionally, a message queue can smooth out spiky workloads by enabling the producers and consumers to work at a consistent pace without losing data. What is the Advanced Message Queuing Protocol?

Monitoring 194

Monitoring Serverless Programming Speed 194

Dynatrace

AUGUST 5, 2022

However, that assumes he or she is available and has time to talk. For nonurgent messages, texting is a more efficient approach. Additionally, a message queue can smooth out spiky workloads by enabling the producers and consumers to work at a consistent pace without losing data. What is the Advanced Message Queuing Protocol?

Monitoring 194

Monitoring Serverless Programming Speed 194

Percona

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources.

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

NOVEMBER 1, 2022

Most IT incident management systems use some form of the following metrics to handle incidents efficiently and maintain uninterrupted service for optimal customer experience. Collect this data over time to calculate an average MTTR score. MTTR measures the efficiency of your entire incident response capability.

DevOps 203

DevOps Artificial Intelligence Metrics Network 203

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. Jason Lowe-Power (UC Davis) discussed smart memory management and the need for an efficient interface for it.

Latency 52

Latency Hardware Cache Architecture 52

Dynatrace

APRIL 15, 2022

. “The team did a two-part attack on that, where we rapidly added more physical infrastructure, but also expanded the Citrix environment into all five CSP regions that we had available to us in the government clouds from Azure and AWS,” Catanoso explains. Operations teams can run more efficiently.

Cloud 172

Cloud Infrastructure Innovation Monitoring 172

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

OCTOBER 28, 2021

The crisis could be technical, natural, or malicious events, for example an earthquake affecting data center availability, or a cyberattack infecting applications and websites. It created more uncertainty than the load balancing issues the entertainment firm saw in its data centers. Boosts business outcomes.

Engineering 220

Engineering Entertainment Cloud Infrastructure 220

Dynatrace

JULY 24, 2024

IBM Z and LinuxONE mainframes running the Linux operating system enable you to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Telemetry data, such as traces and metrics, allow you to analyze the end-to-end performance of your deployed applications.

Availability 237

Availability Infrastructure Metrics Monitoring 237

The Netflix TechBlog

JUNE 4, 2019

If the container running on the core next to your container suddenly decides to fetch a lot of data from the RAM, it will inevitably result in more cache misses for you (and hence a potential performance degradation). Linux to the rescue? As an illustrative example, let’s consider a toy instance of 16 hyperthreads.

Cache 254

Cache Latency Airlines Logistics 254

ACM Sigarch

AUGUST 3, 2023

Specifically, we agree that one of the grand challenges of sustainable computing is matching electrical load with the availability of low-carbon electricity. Embodied carbon is due to Scope 3, e.g., manufacturing IT hardware and datacenter construction. Chien’s Arguments Against Embodied Carbon Prof. Therefore, the $1.4B

Energy 98

Energy Architecture Hardware Metrics 98

Abhishek Tiwari

JULY 12, 2018

Building data pipelines can offer strategic advantages to the business. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines. Data pipeline initiatives are generally unfinished projects. In this post, we will discuss why you should avoid building data pipelines in first place.

Latency 63

Latency Analytics Scalability Engineering 63

VoltDB

APRIL 25, 2024

To move as fast as they can at scale while protecting mission-critical data, more and more organizations are investing in private 5G networks, also known as private cellular networks or just “private 5G” (not to be confused with virtual private networks, which are something totally different). In an age where the average data breach sets U.S.

Network 52

Network IoT Wireless Infrastructure 52

Percona

DECEMBER 27, 2023

In our conversations with developers and engineers during the conference, we confirmed the CNCF GItOps Microsurvey data – 91% are already using GitOps. All of the database automation for running a highly available, resilient, and secure database is built into the operator to simplify the operation and management of your clusters.

Cloud 83

Cloud Open Source Strategy Best Practices 83

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. Mining and public transportation organizations commonly rely on IoT to monitor vehicle status and performance and ensure fuel efficiency and operational safety.

IoT 205

IoT Analytics Transportation Metrics 205

ACM Sigarch

OCTOBER 25, 2019

When it comes to hardware support to mitigate software security issues, there is a significant gap between what is available in products today and known solutions. Acceleration—Adding hardware support to reduce the runtime overheads of security features. Approaches Towards Security.

Hardware 98

Hardware Virtualization Architecture Games 98

ACM Sigarch

APRIL 26, 2018

They introduced the architecture of coarse grain reconfigurable array (CGRA) for statically scheduled data flow computing in HOTCHIPS’17 and its software stack of compiler and linker in ICCAD’17. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. FPU: Floating Processing Unit (FPU).

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., When a QoS violation is predicted to occur and a culprit microservice located, Seer uses a lower level tracing infrastructure with hardware monitoring primitives to identify the reason behind the QoS violation.

Big Data 45

Big Data Cloud Performance Hardware 45

Percona

JANUARY 19, 2023

With disks being faster nowadays and CPU and memory resources being cheaper, we could easily say MySQL can handle TBs of data with good performance. For instance, in Percona Managed Services , we have many clients with TBs worth of data that are well performant. There are many compression tools and algorithms for data out there.

Open Source 93

Open Source Storage Database Big Data 93

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.

Serverless 242

Serverless Efficiency Lambda Azure 242

The Morning Paper

MARCH 8, 2020

This paper describes the design decisions behind the Snowflake cloud-based data warehouse. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) From shared-nothing to disaggregation. joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

All Things Distributed

SEPTEMBER 4, 2017

ML is that part of AI that describes rules and recognizes patterns from large amounts of data in order to predict future data. First: Users across the globe are capturing data digitally, whether this is in the physical world through sensors or GPS, or online through click stream data.

Artificial Intelligence 139

Artificial Intelligence Transportation Education Airlines 139

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA collects operational data to identify patterns and anomalies for faster incident management and near-real-time insights.

Analytics 183

Analytics Artificial Intelligence Big Data Open Source 183

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