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

VoltDB

DECEMBER 11, 2024

Edge computing has transformed how businesses and industries process and manage data. By bringing computation closer to the data source, edge-based deployments reduce latency, enhance real-time capabilities, and optimize network bandwidth. Data interception during transit. Redundancy and inefficiency in data aggregation.

IoT 52

IoT Energy Logistics Latency 52

Dynatrace

MAY 14, 2020

Dynatrace just makes this easy—it comes out-of-the-box, no silos of data, no DIY stitching together tools, no wasted time, and no wasted resources. . A Dynatrace Managed cluster may lack the necessary hardware to process all the additional incoming data. All this automatically and with the same hardware. Your feedback.

Processing 234

Processing Hardware Traffic Storage 234

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. In contrast to the single system tablespace that holds system tables by default, general tablespaces are user-defined storage containers for multiple InnoDB tables.

Storage 114

Storage Engineering Database Open Source 114

The Netflix TechBlog

MARCH 8, 2021

They need specialized hardware, access to petabytes of images, and digital content creation applications with controlled licenses. Historically artists had these machines built for them at their desks and only had access to the data and applications when they were in the office. Artists need many components to be customized.

Entertainment 307

Entertainment Storage Open Source Hardware 307

Dynatrace

JUNE 10, 2024

Security analytics combines data collection, aggregation, and analysis to search for and identify potential threats. Using a combination of historical data and information collected in real time, security teams can detect threats earlier in the SDLC. Here’s how. What is security analytics? Why is security analytics important?

Analytics 264

Analytics Network Open Source Hardware 264

Dynatrace

SEPTEMBER 15, 2020

Dynatrace can help customers monitor, troubleshoot, and optimize application performance for workloads operating on AWS Outposts, in AWS Regions, and on customer-owned hardware for a truly consistent hybrid experience.”. Joshua Burgin, General Manager, AWS Outposts, Amazon Web Services, Inc. What is AWS Outposts?

AWS 275

AWS Design Cloud Storage 275

Dynatrace

JULY 31, 2020

Cloud-based solutions typically aren’t a viable option or enterprises that have strict security or privacy policies that require their data to be maintained on-premise. This gives you full control over your monitoring data and the ability to scale horizontally whenever you need to. Dynatrace news. Prerequisites.

Cloud 264

Cloud Availability Azure Google 264

Dynatrace

DECEMBER 8, 2021

These rapid changes — as well as the increasing volume and variety of data created — require a new approach to observability. As the entire application shares the same computing environment, it collects all logs in the same location, and developers can gain insight from a single storage area.

Cloud 246

Cloud Serverless Hardware Operating System 246

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 191

Performance Hardware Java Storage 191

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 246

Artificial Intelligence DevOps Hardware Virtualization 246

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” Cloud computing? And Hadoop rolled in. Until it wasn’t.

Hardware 135

Hardware Storage Big Data Blockchain 135

DZone

JANUARY 20, 2023

There is a countless number of enterprises, particularly Internet giants, that have explored ways to make graph data processing scalable. It has been a norm to perceive that distributed databases use the method of adding cheap PC(s) to achieve scalability (storage and computing) and attempt to store data once and for all on demand.

Scalability 210

Scalability Big Data Hardware Internet 210

DZone

MAY 16, 2023

Virtualization is a technology that can create servers, storage devices, and networks all in virtual space. Devices connect to a virtual network to share data and resources. This allows users to interact with any hardware resource through a digital interface. How Is Virtualization Technology Used?

Virtualization 195

Virtualization Hardware Storage Network 195

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 358

Open Source Java Operating System Programming 358

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. This paper describes the design decisions behind the Snowflake cloud-based data warehouse. An increasingly large fraction of data in modern workloads comes from less predictable and highly variable sources. joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. This article cuts through the complexity to showcase the tangible benefits of DBMS, equipping you with the knowledge to make informed decisions about your data management strategies. What are the key advantages of DBMS?

Efficiency 147

Efficiency Storage Database Scalability 147

All Things Distributed

JANUARY 23, 2012

Expanding the Cloud - The AWS Storage Gateway. Today Amazon Web Services has launched the AWS Storage Gateway, making the power of secure and reliable cloud storage accessible from customersâ?? With the launch of the AWS Storage Gateway our customers can now integrate their on-premises IT environment with AWSâ??s

Storage 94

Storage AWS Virtualization Cloud 94

Dynatrace

NOVEMBER 11, 2020

Easier rollout thanks to log storage best practices. We’re now allowing for even easier OneAgent rollout by freeing up the /opt mount point from any runtime data that’s produced by OneAgents. Easier rollout thanks to log storage best practices. Advanced customization of OneAgent deployments made easy.

Best Practices 246

Best Practices Storage Java Benchmarking 246

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. It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure.

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

OCTOBER 9, 2024

By migrating to SaaS, customers can reduce hardware expenses, enabling them to concentrate on accelerating innovation with Dynatrace. Reassure customers about their data. Verify with the customer that the dashboards are fully operational, and data is coming through as expected. Start small if you need to.

Innovation 244

Innovation Hardware Storage Cloud 244

Scalegrid

FEBRUARY 24, 2025

Youll also learn strategies for maintaining data safety and managing node failures so your RabbitMQ setup is always up to the task. Implementing clustering and quorum queues in RabbitMQ significantly improves load distribution and data redundancy, ensuring high availability and fault tolerance for messaging services.

Best Practices 147

Best Practices Traffic Strategy Scalability 147

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " A tenant should not be able to see the code or data of other tenants (isolation).

Serverless 99

Serverless Storage Latency Cloud 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

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 269

Google Engineering Metrics Hardware 269

Dynatrace

AUGUST 5, 2019

Before we talk about migrations, we must talk about how we gather the data to make better migration decisions – this is where our OneAgent differentiates itself from other approaches! There is no code or configuration change necessary to capture data and detect existing services. This is LIVE data queryable through an API!

Cloud 38

Cloud Traffic Database Network 38

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Setting oom_score_adj to -800.

Performance 144

Performance Hardware Tuning Storage 144

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log files contain much of the data that makes a system observable: for example, records of all events that occur throughout the operating system, network devices, pieces of software, or even communication between users and application systems.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. Additionally, a message queue can smooth out spiky workloads by enabling the producers and consumers to work at a consistent pace without losing data. A producer creates the message, and a consumer processes it.

Monitoring 246

Monitoring Programming Serverless Speed 246

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. Additionally, a message queue can smooth out spiky workloads by enabling the producers and consumers to work at a consistent pace without losing data. A producer creates the message, and a consumer processes it.

Monitoring 246

Monitoring Programming Serverless Speed 246

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 Open Source Hardware Architecture 72

All Things Distributed

SEPTEMBER 20, 2013

Traditionally records in a database were stored as such: the data in a row was stored together for easy and fast retrieval. Combined with the rise of data warehouse workloads, where there is often significant redundancy in the values stored in columns, and database models based on column oriented storage took off.

Storage 71

Storage Hardware Cache C++ 71

Percona

MARCH 28, 2023

It’s to ensure that our data is durable after each write operation and to make it persistent and consistent without compromising the performance. In terms of MongoDB, it achieves WAL and data durability using a combination of both Journaling and Checkpoints. Starting with the basics, why is WAL needed in the first place?

Hardware 111

Hardware C++ Storage Cache 111

Scalegrid

JULY 13, 2020

Oracle requires more complex ongoing administration, as all database configurations must evolve in conjunction with the data schemas and custom code. Data encryption can be achieved with advanced security plugins like pgcrypto which are available for free. CitusDB – distributes data and queries horizontally across nodes.

Open Source 244

Open Source C++ Tuning Database 244

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 94

Database Storage Servers Strategy 94

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. What is a distributed storage backend? SOSP’19. This is not surprising in hindsight.

Storage 64

Storage Systems Hardware Efficiency 64

Scalegrid

FEBRUARY 1, 2024

Regarding MySQL backups , knowing how to secure your data is crucial. Dive in to uncover the essentials of different backup types, command-line tools, and strategic practices for robust data protection. MySQL is a popular open-source relational database management system for online applications and data warehousing.

Best Practices 130

Best Practices Storage Strategy Database 130