Dynatrace

DECEMBER 8, 2021

These rapid changes — as well as the increasing volume and variety of data created — require a new approach to observability. In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.”

Cloud 216

Cloud Serverless Hardware Operating System 216

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. Collect raw data in virtual and nonvirtual environments from multiple feeds, normalize and structure the data, and aggregate it for alerts.

Artificial Intelligence 191

Artificial Intelligence DevOps Hardware Virtualization 191

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. These databases require significant time commitment along with necessary technical skills plus hardware & software costs, all of which are without dedicated team assistance.

Database 130

Database Cloud Hardware Storage 130

Percona

DECEMBER 27, 2022

Encrypting data at rest in a database management system (DBMS) refers to securing data by encrypting it when it is not being used or accessed. This is often done to protect sensitive data from unauthorized access or theft. Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device.

Database 92

Database Storage Servers Strategy 92

Percona

AUGUST 22, 2023

We’ll also look at the differences, as it’s important to know what architecture(s) will help you best meet your unique requirements for maximizing data assets and achieving continuous uptime. Redundancy: The system stores multiple copies of data on separate devices. there cannot be high availability.

Availability 78

Availability Hardware Open Source Database 78

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 333

Open Source Java Operating System Programming 333

The Polyglot Developer

FEBRUARY 10, 2017

So I was researching object storage and I came across the open source distributed object storage software, Minio. After all they are both object storage solutions. The difference here is that Minio can be deployed on your own hardware.

Storage 72

Storage Hardware Open Source Architecture 72

Percona

AUGUST 30, 2023

These days, “Data is king,” and a lot more. Data powers everything, and unlike coal and coal combustion, data and databases aren’t going away. Any organization that uses personal and other sensitive data must have a firm, proven plan for business continuity in the event of a disaster or cyberattack.

Database 86

Database Hardware Open Source Strategy 86

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. Fault tolerance aims for zero downtime and data loss. Data replication : Data is continually copied from one database to another to ensure that the system remains operational even if one database fails.

Availability 105

Availability Database Open Source Hardware 105

ACM Sigarch

AUGUST 3, 2023

(Editor’s Note: This post was submitted as a rebuttal to Andrew Chien’s July 24 SIGARCH Blog Post ) The recent post “ Why Embodied Carbon is a poor Architecture Design metric, and Operational Carbon remains an important Problem ” by Prof. Andrew Chien rightfully raises awareness of the challenges of reducing operational carbon.

Energy 98

Energy Architecture Hardware Metrics 98

Scalegrid

JANUARY 8, 2024

Understanding Multi-Cloud and Hybrid Cloud Cloud computing has revolutionized the IT industry, offering a host of advantages including cost-effectiveness, increased agility, and access to cutting-edge hardware. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. But what do these entail?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Percona

JULY 7, 2023

Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. It enables businesses and organizations to meet uptime and service level objectives, protect business-critical data, and maintain performant databases. Failover is essential to minimizing downtime.

Availability 83

Availability Open Source Architecture Database 83

KeyCDN

FEBRUARY 22, 2023

The goal of WebAssembly is to execute at native speeds by taking advantage of common hardware features available on a variety of platforms. With cloud-based infrastructure, organizations can easily scale their web applications to handle increased traffic or demand without the need for expensive hardware upgrades.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Logs can include data about user inputs, system processes, and hardware states. Dynatrace news. billion in 2020 to $4.1 What are logs?

Analytics 198

Analytics Monitoring Artificial Intelligence DevOps 198

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

Percona

APRIL 17, 2023

We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. There is an issue with this, which causes the OS to swap even with memory available.

Best Practices 52

Best Practices Design Tuning Database 52

Abhishek Tiwari

DECEMBER 27, 2017

ETL refers to extract, transform, load and it is generally used for data warehousing and data integration. There are several emerging data trends that will define the future of ETL in 2018. A common theme across all these trends is to remove the complexity by simplifying data management as a whole.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Percona

JUNE 30, 2023

Architecture Operator SDK is now used to build and package the Operator. In addition to that: Run up to four pgBackrest repositories Bootstrap the cluster from the existing backup through Custom Resource Azure Blob Storage support Operations Deploying complex topologies in Kubernetes is not possible without affinity and anti-affinity rules.

Availability 92

Availability Open Source Azure Hardware 92

Percona

NOVEMBER 3, 2023

When it comes to Citus, successfully building out and scaling a PostgreSQL cluster across multiple nodes and even across data centers can feel, at times, to be an art form because there are so many ways of building it out. The following invocation generates almost 4GB of data.

Database 102

Database Benchmarking Latency C++ 102

ACM Sigarch

OCTOBER 4, 2018

This is the first post in a series of posts on different approaches to systems security especially as they apply to hardware and architectural security. For example, consider a database system that is distributed across a data center, or even across data centers. Transmission: A number of encryption schemes (e.g.,

Systems 47

Systems Hardware Storage Architecture 47

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Automated Backups and Point-in-Time Recovery Aurora provides automated backup and point-in-time recovery, simplifying backup management and data protection.

AWS 52

AWS Database Serverless Storage 52

High Scalability

NOVEMBER 25, 2019

There are a couple of downsides though in case you are looking to use it to support tens of thousands of users working on hundreds of millions of files simultaneously containing petabytes of data. To help our customers manage ongoing data explosion, we have designed many of the core components over the last few years. Recommendations.

Architecture 52

Architecture Cache Azure Storage 52

Percona

SEPTEMBER 1, 2023

Scalability is a significant concern, as databases must handle growing data volumes and user demands while maintaining peak performance. ” Each shard manages a portion of the data, forming a sharded cluster, which enables MongoDB to handle large datasets and high user concurrency effectively.

Best Practices 71

Best Practices Traffic Database Servers 71

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

SQL Performance

APRIL 27, 2020

Many of the newer features we have in SQL Server were initially launched in Azure SQL Database, including (but not limited to) Always Encrypted, Dynamic Data Masking, Row Level Security, and Query Store. The basic tier provides up to 5 DTUs with standard storage. DTU Pricing Tier. vCore Pricing Tier. GB per vCore. HyperScale Database.

Azure 55

Azure Database Serverless Hardware 55

ACM Sigarch

AUGUST 20, 2018

In this post, I argue that software and data interoperability, a hallmark of the modern computer ecosystem, is at the core of several widespread security problems. An alternate approach is to tie data and potentially software to specific physical instances of a digital system. Interoperability. Individualizing digital systems.

Hardware 47

Hardware Operating System Architecture Software 47

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. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic. You mentioned ‘More Simple Kubernetes’?

Cloud 77

Cloud Open Source Strategy Best Practices 77

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 85

Open Source Storage Database Big Data 85

The Morning Paper

OCTOBER 4, 2020

As is expected to be common during the roll-out and transition phase of 5G, this network adopts the NSA (Non-Standalone Access) deployment model whereby the 5G radio is used for the data plane, but the control plane relies on existing 4G. The study investigates four key questions: What is the coverage like compared to 4G? energy consumption).

Energy 130

Energy Latency Performance Network 130

The Morning Paper

MAY 27, 2019

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The protections are hardware implemented and cannot be forged in software. Capability integrity prevents direct in-memory manipulation of architectural capability encodings.

C++ 61

C++ Hardware Virtualization Benchmarking 61

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 110

Performance Latency Cache Virtualization 110

Tech News Gather

JULY 19, 2023

Otherwise, you may not be able to locate enough appropriate hardware and end up having to often switch between different programs. To facilitate data exchange and remote device management, a smart home unit includes a hub, sensors, and actuators. Connect the architectural pieces of your program using secure gateways.

Wireless 52

Wireless IoT Development Internet 52

ScaleOut Software

JULY 27, 2018

For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications. Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications. Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads.

Scalability 40

Scalability Cache Airlines Healthcare 40

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. It provides a flexible data model allowing you to easily store unstructured data. If you don’t update to this version, you will run the risk of losing data. MongoDB is popular with developers as it is easy to get started with.

Database 79

Database Servers Storage Strategy 79