DZone

JANUARY 23, 2022

Datacenter - data center failure where the whole DC could become unavailable due to power failure, network connectivity failure, environmental catastrophe, etc. Redundancy by building additional data centers. this is addressed through monitoring and redundancy. Again the approach here is the same. Again the approach here is the same.

Hardware 243

Hardware DevOps Network Storage 243

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 241

Analytics Network Hardware Open Source 241

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

FEBRUARY 2, 2022

This means you no longer have to procure new hardware, which can be a time-consuming and expensive process. Security: Data is stored securely in the Dynatrace cloud (powered by Azure). All data at rest is stored in Azure Storage and is encrypted and decrypted using 256-bit AES encryption (FIPS 140-2 compliant).

Azure 323

Azure Availability Hardware Innovation 323

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

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 199

Scalability Big Data Hardware Internet 199

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 181

Innovation Hardware Storage Cloud 181

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

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

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

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Data Store.

Serverless 290

Serverless AWS Lambda Storage 290

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 93

Database Storage Servers Strategy 93

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 212

Artificial Intelligence DevOps Hardware Virtualization 212

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

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

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 234

Cloud Serverless Hardware Operating System 234

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

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

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 128

Performance Hardware Tuning Storage 128

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 159

Processing Hardware Traffic Storage 159

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 Hardware Open Source 307

DZone

JULY 19, 2023

With such a vast scale of operations, Enel faced the need to revolutionize its traditional IT structure to meet the growing demands of digitalization and data management. This offered an enhanced ability to scale operations in line with the growing computational demands and data storage needs.

Virtualization 130

Virtualization Scalability Energy Cloud 130

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 89

Hardware C++ Storage Cache 89

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

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 208

AWS Design Cloud Storage 208

Percona

AUGUST 29, 2023

Among its many capabilities, a Citus cluster can: Create distributed tables that are sharded across a cluster of PostgreSQL nodes to combine their CPU, memory, storage, and I/O capacity. Columnar storage of tables can compress data, speeding up scans and supporting fast projections, both on regular and distributed tables.

C++ 82

C++ Database Storage Testing 82

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 219

Cloud Availability Azure Google 219

Scalegrid

AUGUST 30, 2024

to prevent unauthorized access and ensure data protection. Encryption at both the transport level (using SSL/TLS) and message level is crucial for safeguarding data in transit and at rest, ensuring confidentiality and integrity within RabbitMQ deployments. 509 certificates, and OAuth 2.0, Read Also : What is RabbitMQ Used For?

Transportation 130

Transportation Virtualization Strategy Storage 130

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 349

Open Source Java Operating System Programming 349

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 100

Storage AWS Virtualization Cloud 100

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

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 207

Best Practices Storage Java Benchmarking 207

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 81

Availability Hardware Open Source Database 81

Scalegrid

JUNE 14, 2024

In today’s data-driven world, organizations rely heavily on data analysis and visualization to make informed decisions and gain a competitive edge. It provides a user-friendly interface and a wide range of tools to transform raw data into meaningful insights. Why connect Power BI to a MySQL Database?

Database 130

Database Azure Efficiency Servers 130

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 73

Storage Hardware Cache C++ 73

Percona

APRIL 17, 2023

We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. You can set this by adding the following lines to the /etc/sysctl.conf : vm.dirty_ratio = 15 vm.dirty_background_ratio = 5 Filesystems mount options MongoDB recommends the XFS filesystem for on-disk database data.

Best Practices 52

Best Practices Design Tuning Database 52

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. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130