Dynatrace

FEBRUARY 2, 2022

Additional benefits of Dynatrace SaaS on Azure include: No infrastructure investment : Dynatrace manages the infrastructure for you, including automatic visibility, problem detection, and smart alerting across virtual networks, virtual infrastructure, and container orchestration.

Azure 321

Azure Availability Hardware Innovation 321

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. Additionally, they manage applications and services deployed on the network and provide secure access to authorized users.

Artificial Intelligence 205

Artificial Intelligence DevOps Hardware Virtualization 205

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

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

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

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 228

Cloud Serverless Hardware Operating System 228

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

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 92

Database Hardware Open Source Strategy 92

Dynatrace

SEPTEMBER 15, 2020

It differentiates Dynatrace as an AWS Partner Network (APN) member with a fully tested product on AWS Outposts. “We 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.”.

AWS 202

AWS Design Storage Cloud 202

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. Without enough infrastructure (physical or virtualized servers, networking, etc.), there cannot be high availability.

Availability 83

Availability Hardware Open Source Database 83

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

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 199

Best Practices Storage Java Benchmarking 199

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 202

Monitoring Serverless Programming Speed 202

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 201

Monitoring Serverless Programming Speed 201

Dynatrace

NOVEMBER 15, 2021

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Logs can include data about user inputs, system processes, and hardware states. “Logging” is the practice of generating and storing logs for later analysis.

Analytics 211

Analytics Monitoring Artificial Intelligence DevOps 211

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 115

Storage AWS Virtualization Cloud 115

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

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

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 112

Availability Database Open Source Hardware 112

Percona

FEBRUARY 24, 2023

PMM can also show you historical data that can help you identify how long a service has been in a given state. From AWS documentation , Amazon EBS is an easy-to-use, scalable, high-performance block-storage service designed for Amazon EC2. Marked in red in Figure 1 is a server with less than 30% of CPU usage.

Cloud 123

Cloud Serverless AWS Storage 123

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

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.

Performance 140

Performance Latency Hardware Storage 140

Percona

OCTOBER 18, 2023

Advantages of migrating to open source For many reasons mentioned earlier, organizations are increasingly shifting towards open source databases for their data management needs. This compatibility simplifies the migration of data from other environments, whether they are proprietary or another open source option.

Open Source 96

Open Source Database Hardware Strategy 96

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

JULY 7, 2023

It enables businesses and organizations to meet uptime and service level objectives, protect business-critical data, and maintain performant databases. Also, in general terms, a high availability PostgreSQL solution must cover four key areas: Infrastructure: This is the physical or virtual hardware database systems rely on to run.

Availability 88

Availability Open Source Architecture Database 88

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 108

Performance Monitoring Traffic Database 108

HammerDB

APRIL 19, 2023

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. For storage, FIO is generally used. Storage: The system has a SATA drive for the operating system and one NVMe (Intel SSD D7-P5510 (3.84 4.22 %usr 38.40

Performance 54

Performance Benchmarking Cache Storage 54

Scalegrid

JULY 13, 2020

There is also a wide network of Oracle partners available to help you negotiate a discount , typically ranging from 15%-30%, though larger discounts of up to 40%-60% are available for larger accounts. Data encryption can be achieved with advanced security plugins like pgcrypto which are available for free. Partitioning.

Open Source 244

Open Source Tuning C++ Database 244

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

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. This action may prevent hackers from gaining access to the network and taking it over.

Wireless 52

Wireless IoT Development Internet 52

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

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

The Morning Paper

OCTOBER 4, 2020

The first 5G networks are now deployed and operational. The study is based on one of the world’s first commercial 5G network deployments (launched in April 2019), a 0.5 The 5G network is operating at 3.5GHz). The maximum physical layer bit-rate for the 5G network is 1200.98 The short answer is no.

Energy 130

Energy Latency Performance Network 130

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

ScaleOut Software

APRIL 22, 2020

In this time of extremely high online usage, web sites and services have quickly become overloaded, clogged trying to manage high volumes of fast-changing data. Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

In this time of extremely high online usage, web sites and services have quickly become overloaded, clogged trying to manage high volumes of fast-changing data. Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52