O'Reilly

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. We didn’t use the data from these respondents; in practice, discarding this data had no effect on the results.

Azure 145

Azure Social Media Programming AWS 145

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 207

Artificial Intelligence DevOps Hardware Virtualization 207

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. Additionally, cloud computing allows for greater collaboration and innovation, as it enables users to access and share data and resources from anywhere, at any time. Can you expand?

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

NOVEMBER 2, 2023

Enhanced customer confidence through excellent service availability. Unified observability is the ability to know how systems and infrastructure are performing based on the data they generate, such as logs, metrics, and traces. Availability Observability helps banks meet availability SLAs for mission-critical services.

Cloud 226

Cloud Infrastructure Strategy Hardware 226

Dynatrace

MARCH 8, 2021

We do our best to provide support for all popular hardware and OS platforms that are used by our customers for the hosting of their business services. Please check our detailed OneAgent support matrix to learn about feature availability on specific hardware and software platforms. What about ActiveGates?

Operating System 236

Operating System Hardware Technology Technology 236

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. Data Center Dynamics highlights a significant uptick in DBaaS adoption, growing from 40% to 45% between 2019 and 2020. Your data will always be intact.

Healthcare 130

Healthcare Hardware Database Scalability 130

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

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. With an on-prem data center, the organization bears the burden of securing the physical infrastructure and its digital assets. Reduced cost.

Cloud 169

Cloud Traffic Best Practices Strategy 169

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch.

Open Source 346

Open Source Java Operating System Programming 346

Percona

SEPTEMBER 22, 2023

Before open source was available, there was little to no interoperability between computer systems. If you ran IBM hardware, then you ran IBM software, and that handy calendaring program that ran on Data General or Digital hardware/software was unavailable to you.

Open Source 110

Open Source Software Software Hardware 110

Dynatrace

AUGUST 5, 2022

However, that assumes he or she is available and has time to talk. Additionally, a message queue can smooth out spiky workloads by enabling the producers and consumers to work at a consistent pace without losing data. Observability platforms address the challenge of message queue monitoring by capturing and analyzing queue data.

Monitoring 204

Monitoring Serverless Programming Speed 204

Dynatrace

AUGUST 5, 2022

However, that assumes he or she is available and has time to talk. Additionally, a message queue can smooth out spiky workloads by enabling the producers and consumers to work at a consistent pace without losing data. Observability platforms address the challenge of message queue monitoring by capturing and analyzing queue data.

Monitoring 204

Monitoring Serverless Programming Speed 204

The Netflix TechBlog

FEBRUARY 5, 2020

While our goal is to roll out AV1 on all of our platforms, we see a good fit for AV1’s compression efficiency in the mobile space where cellular networks can be unreliable, and our members have limited data plans. AV1-libaom compression efficiency as measured against VP9-libvpx.

Media 160

Media Open Source Mobile Hardware 160

The Netflix TechBlog

FEBRUARY 5, 2020

While our goal is to roll out AV1 on all of our platforms, we see a good fit for AV1’s compression efficiency in the mobile space where cellular networks can be unreliable, and our members have limited data plans. AV1-libaom compression efficiency as measured against VP9-libvpx.

Media 160

Media Open Source Mobile Hardware 160

Dynatrace

APRIL 5, 2021

AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. Data entering a stream.

Lambda 183

Lambda AWS Serverless Hardware 183

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Minimized cross-data center network traffic.

Availability 250

Availability Hardware Latency Traffic 250

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. better cluster resource utilization.

Big Data 63

Big Data Storage Benchmarking Hardware 63

ACM Sigarch

OCTOBER 10, 2022

Otherwise, there is a risk of repeating many of the mistakes from classical computers where, for many years, security at the hardware and architecture levels was an afterthought. They can be categorized into need to protect the computation and data on the quantum computers, and the quantum computer architectures themselves.

Architecture 72

Architecture Hardware Programming Cloud 72

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

The Netflix TechBlog

NOVEMBER 9, 2022

At Netflix, we periodically reevaluate our workloads to optimize utilization of available capacity. a contiguous chunk of data (typically 64 bytes on x86 systems) transferred to and from the cache. In this blogpost we describe one such problem and the tools we used to solve it. The problem It started off as a routine migration.

Hardware 363

Hardware Cache Performance Latency 363

Percona

JANUARY 3, 2024

sec) Conclusion These methods provide solutions for ProxySQL backups and restores, which play a pivotal role in safeguarding the integrity of your data and providing defense against various disasters, hardware malfunctions, data loss, and corruption. sec) ProxySQLAdmin> select * from mysql_servers; Empty set (0.00

Traffic 107

Traffic Hardware Cache Servers 107

Dynatrace

JULY 30, 2020

Introducing Davis data units (DDUs) for increased flexibility with custom metrics. Hardware requirements updates – “Trial” node category changed to Micro. Premium High Availability goes GA. Requirements on binary data are now increased by 1GB. Stability and resilience improvements. with OpenSSL 1.1.1g

Hardware 105

Hardware Java Innovation Metrics 105

The Netflix TechBlog

DECEMBER 14, 2020

Meanwhile, a field engineer for the chip vendor had diagnosed the root cause: Netflix’s Android TV application, called Ninja, was not delivering audio data quickly enough. Playback stopped when the decoder waited for Ninja to deliver more of the audio stream, then resumed once more data arrived.

Engineering 352

Engineering Code Hardware Open Source 352

The Netflix TechBlog

NOVEMBER 9, 2021

AV1 playback on TV platforms relies on hardware solutions, which generally take longer to be deployed. Throughout 2020 the industry made impressive progress on AV1 hardware solutions. The Data Science and Engineering team for A/B test analysis, and for providing data to help us continuously monitor AV1.

Media 246

Media Open Source Efficiency Software Engineering 246

The Netflix TechBlog

AUGUST 30, 2021

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. For example, when running tests, the state of the device will change from “available for testing” to “in test.” In this blog post, we will focus on the latter feature set.

Latency 213

Latency Traffic Transportation Cloud 213

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. A reduced throughput could generally indicate that the server gets fewer queries.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

JUNE 22, 2023

Database uptime and availability Monitoring database uptime and availability is crucial as it directly impacts the availability of critical data and the performance of applications or websites that rely on the MySQL database. The point we’re making here is they are critical for MySQL Performance.

Performance 103

Performance Monitoring Traffic Database 103

Dynatrace

MARCH 23, 2020

A decade ago, while working for a large hosting provider, I led a team that was thrown into turmoil over the purchasing of server and storage hardware in preparation for a multi-million dollar super-bowl ad campaign. Our procurement decisions were based on trace data that was pulled from a handful of fragmented monitoring solutions.

Google 195

Google Engineering Metrics Hardware 195

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

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

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. “We used Dynatrace to monitor that large increase in servers.

Cloud 181

Cloud Infrastructure Innovation Monitoring 181

Scalegrid

APRIL 16, 2020

Each of these models is suitable for production deployments and high traffic applications, and are available for all of our supported databases, including MySQL , PostgreSQL , Redis™ and MongoDB® database ( Greenplum® database coming soon). Here are the databases and cloud providers supported through each model: Supported Databases.

Cloud 242

Cloud Azure AWS Database 242

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 251

Cache Latency Airlines Logistics 251

Testsigma

JUNE 3, 2021

On-screen information for users: The information which is required by the user should be available on the application screen itself. Otherwise, it may result in the processing of garbage data and erroneous results. Hardware error. We focus on software so much that we forget about the hardware failures. Hardware issues.

Software 82

Software Software Testing Hardware 82

Percona

MARCH 27, 2023

The percentage in degradation will vary depending on many factors {hardware, workload, number of tables, configuration, etc.}. If you rely heavily on queries against information_schema, then your workload will benefit from upgrading to MySQL/Percona Server for MySQL 8 because of the new data dictionary format. While you are on 5.7,

Cache 100

Cache Hardware Servers Benchmarking 100

CSS Wizardry

AUGUST 7, 2019

TTFB isn’t just time spent on the server, it is also the time spent getting from our device to the sever and back again (carrying, that’s right, the first byte of data!). Database queries: Pages that require data from a database will incur a cost when searching over it. View full size/quality (533KB). View full size/quality (419KB).

Latency 269

Latency Ecommerce Servers Mobile 269

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