Dynatrace

NOVEMBER 2, 2023

If your organisation is involved in achieving APRA compliance, you are likely facing the daunting effort of de-risking critical system delivery. Moreover, for banking organisations, there is a good chance some of those systems are outdated. And when a system breaks, AI-enabled platforms like these find the issue in seconds.

Cloud 217

Cloud Infrastructure Strategy Hardware 217

The Netflix TechBlog

OCTOBER 27, 2023

These orphaned pods represent real pain for our users, even if they are a small percentage of the total pods in the system. ", Just making a place to put this data is a great start. Do you also enjoy really getting to the bottom of why things fail in your systems or think kernel panics are cool? Why did they go away?

Hardware 228

Hardware Cloud Google Servers 228

Dynatrace

SEPTEMBER 22, 2021

Whether it’s your TV, audio system, digital home assistant, or refrigerator chances are those devices run an operating system such as Android allowing you access to the device’s features through apps. Crashes sometimes happen because of a specific combination of hardware, software and the environment (e.g., Dynatrace news.

Mobile 189

Mobile Media Hardware Network 189

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 1, 2022

These metrics help to keep a network system up and running?, Containment: Implements actions to safeguard affected systems, resolves incidents quickly and escalates an event to other teams when necessary. This does not include lag time in the alert system. Collect this data over time to calculate an average MTTR score.

DevOps 204

DevOps Artificial Intelligence Metrics Network 204

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. A message queue enables the smooth flow of information to make complex systems work. What is the Advanced Message Queuing Protocol?

Monitoring 196

Monitoring Serverless Programming Speed 196

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. A message queue enables the smooth flow of information to make complex systems work. What is the Advanced Message Queuing Protocol?

Monitoring 195

Monitoring Serverless Programming Speed 195

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 178

Lambda AWS Serverless Hardware 178

The Netflix TechBlog

NOVEMBER 9, 2021

We were very pleased to see that AV1 streaming improved members’ viewing experience, particularly under challenging network conditions. 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.

Media 246

Media Open Source Efficiency Software Engineering 246

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. How does chaos engineering work? Blast radius.

Engineering 221

Engineering Entertainment Cloud Infrastructure 221

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. System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform.

Latency 213

Latency Traffic Transportation Hardware 213

Percona

FEBRUARY 9, 2023

You need to ensure that you are backing up all the data. Or did you shut down a project that no longer needs to be part of the backup procedure, at least after rigorous data archiving? Second, peruse the accounts on your system to trim away those staff who are no longer with your organization. First, how are your backups?

Database 93

Database Open Source Hardware Operating System 93

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

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. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 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. With an on-prem data center, the organization bears the burden of securing the physical infrastructure and its digital assets. What is cloud migration?

Cloud 163

Cloud Traffic Best Practices Strategy 163

Dynatrace

JUNE 15, 2023

In general, cloud application security involves authentication and access control, data encryption, identity and user management, and vulnerability management. Moreover, common production tools, such as network scanners, can’t properly detect open source vulnerabilities inside containers.

Cloud 174

Cloud Open Source Architecture Monitoring 174

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. The new DGX-2, which achieves 2 petaFLOPS in the system, combines 16 fully interconnected GPUS with 10x the deep learning performance.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

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

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? can we actually make this work in practice?

Cache 251

Cache Latency Airlines Logistics 251

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. Disk space usage Monitor the disk space usage of MySQL data files, log files, and temporary files.

Performance 106

Performance Monitoring Traffic Database 106

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Seer is an online system that observes the behaviour of cloud applications (using the DeathStarBench microservices for the evaluation) and predicts when QoS violations may be about to occur. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

HammerDB

OCTOBER 23, 2023

With a simple example such as this, it would not necessarily be expected for the additional network traffic to be significant between the 2 approaches. However, with more complex application logic this network round trip soon becomes a key focus area for improving performance. On MySQL, we saw a 1.5X performance advantage.

Benchmarking 62

Benchmarking Database Network C++ 62

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. Note that my predictions in this talk may be wrong, but they should be thought provoking.

Performance 140

Performance Latency Hardware Storage 140

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

Scalegrid

APRIL 16, 2020

Since our BYOC plans are hosted through your own AWS or Azure account, all cloud instances, backups and data transfer costs are paid directly through your cloud provider. While this is a good way to get a rough estimate, your monthly cloud costs will indeed vary based on the amount of backups performed and your data transfer activity.

Cloud 242

Cloud Azure AWS Database 242

All Things Distributed

DECEMBER 20, 2017

How companies can use ideas from mass production to create business with data. In this way, designers are part of an ecosystem in which the functionalities of simulations, data and people come together, enabling them to develop better products faster. Value creation through data. Strategically, IT doesn't matter.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

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

Testsigma

APRIL 13, 2021

During compatibility testing of an application, we check the compatibility of the application with multiple devices, hardware, software versions, network, operating systems, and browsers, etc. Operating System. The iOS app should work well on the networks of different bandwidths, speeds, data transfer rates, etc.

Testing 84

Testing Hardware Mobile Testing Tools 84

HammerDB

APRIL 19, 2023

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. Operating System: Ubuntu 22.04

Performance 54

Performance Benchmarking Cache Storage 54

Tech News Gather

JUNE 30, 2023

Introduction In today’s data-driven world, Geographic Information System (GIS) technology plays a pivotal role in numerous industries, revolutionizing decision-making processes and providing valuable insights into spatial data. These applications can range from simple map viewers to complex spatial analysis tools.

Technology 52

Technology Technology Development Retail 52

Abhishek Tiwari

DECEMBER 13, 2017

Can machine learning-based data structures i.e. learned data structures replace traditional data structures? The initial results show that learned data structures can outperform existing data structures. This has far-reaching implications how future data systems and algorithms will be designed.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

Testsigma

OCTOBER 28, 2021

Remember to test how your app works with shared resources such as memory, space, network resources, etc. Whenever I see a randomly failing test, I triangulate failure conditions by varying: Data Behavior Options & Settings Software & Hardware Environment Configuration & Dependencies, etc.

Engineering 96

Engineering Hardware Software Engineering Testing 96

Testsigma

JUNE 3, 2021

He may think that the software got stuck and a system restart is needed. 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. Data handling errors. Hardware issues. SSL certificate issues.

Software 82

Software Software Testing Hardware 82

Adrian Cockcroft

FEBRUARY 9, 2023

The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. The next layer is operating system platforms, what flavor of Linux, what version of Windows etc. Above that there’s a deployment platform such as Kubernetes or AWS Lambda.

Engineering 137

Engineering Serverless Lambda AWS 137

Smashing Magazine

AUGUST 3, 2021

Lots can go wrong: a network request fails, a third-party library breaks, a JavaScript feature is unsupported (assuming JavaScript is even available), a CDN goes down, a user behaves unexpectedly (they double-click a submit button), the list goes on. On design systems, CSS/JS and UX. How To Build Resilient JavaScript UIs. Callum Hart.

Network 145

Network Engineering Availability Monitoring 145

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 184

Analytics Artificial Intelligence Big Data Open Source 184

Percona

MAY 2, 2023

Questions Q: I have a MySQL server with 500 GB of RAM; my data set is 100 GB. ChatGPT: The InnoDB buffer pool is used by MySQL to cache frequently accessed data in memory. Since my data set is 100GB, I would like to see ChatGPT explicitly mention that a good starting point would be 100GB. What could it be? What could it be?

Social Media 122

Social Media Database Servers Cache 122