Dynatrace

OCTOBER 17, 2023

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.

Retail 229

Retail Storage Best Practices Architecture 229

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. " In from of them is a networking layer, and the in-memory storage layer holds the actual data.

Serverless 99

Serverless Storage Latency Cloud 99

Scalegrid

MAY 13, 2020

It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. Greenplum Architectural Design.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Buckets are similar to folders, a physical storage location. There is a default bucket for each table.

Artificial Intelligence 255

Artificial Intelligence Analytics Metrics Storage 255

Dynatrace

APRIL 28, 2023

Customers must comply with internal and external policies and regulations that might demand them to keep specific data stored for a minimum period of time (for example, audit logs). For example, suppose data has to be retained for a longer period because of legal or business reasons.

Analytics 206

Analytics Storage Infrastructure Metrics 206

Particular Software

APRIL 12, 2021

Azure Storage Queues is a basic yet robust queueing service available on the Azure platform. For example, it lacks concepts like topics and subscriptions to build publisher and subscriber topologies—these are capabilities NServiceBus adds on top of Azure Storage Queues. Here’s how it works.

Azure 52

Azure Storage Transportation Java 52

Dynatrace

AUGUST 1, 2022

Kubernetes was initially designed with a strong focus on stateless workloads, meaning these workloads do not need to store any persistent data. Famous examples include Redis , PostgreSQL , MySQL, and MongoDB. Famous examples include Redis , PostgreSQL , MySQL, and MongoDB. What about my persistent volume provider?

Storage 180

Storage Database Network Metrics 180

Percona

APRIL 17, 2023

For example, on a 128GB memory host, this can allow up to 38.4GB of dirty pages. It is possible to remount on the fly; For example, in order to remount /mnt/db/ with these options: mount -oremount,rw,noatime/mnt/db It is necessary to add/edit the corresponding line in /etc/fstab for the option to persist on reboots.

Best Practices 52

Best Practices Design Tuning Database 52

DZone

JANUARY 25, 2022

A basic example could be listening to an AWS SQS queue and saving a file in Google Cloud Storage Bucket for each message that has been received. A book that defines a series of patterns and blueprints to help us to better design large component-based applications.

AWS 185

AWS Storage Google Design 185

Dynatrace

OCTOBER 4, 2022

A data lakehouse addresses these limitations and introduces an entirely new architectural design. This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). Grail is built for such analytics, not storage.

Artificial Intelligence 261

Artificial Intelligence Analytics Storage Architecture 261

Dynatrace

OCTOBER 4, 2022

For example, users generate user data, ecommerce sites generate business data, and service portals generate service desk tickets and call volume data. Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Analytics 184

Analytics Software Software Storage 184

The Netflix TechBlog

NOVEMBER 29, 2023

Bitrate versus quality comparison HDR-VMAF is designed to be format-agnostic — it measures the perceptual quality of HDR video signal regardless of its container format, for example, Dolby Vision or HDR10. Shown below are rate versus quality examples for a couple of titles from our HDR catalog. We present two sets.

Open Source 252

Open Source Software Engineering Internet Internet 252

Percona

JANUARY 30, 2023

Instead, it seems PostgreSQL Developers are of the opinion that encryption is a storage-level problem and is better solved on the filesystem or block device level. For example, physical backups stored in open S3 buckets are relatively common exposure vectors. It adds defense in depth.

Database 124

Database Storage Government Open Source 124

Scalegrid

JULY 17, 2020

If you store each of the keys as columns, it will result in frequent DML operations – this can be difficult when your data set is large - for example, event tracking, analytics, tags, etc. For example, Stripe transactions. JSONB storage results in a larger storage footprint. Syncing with external data sources.

Storage 321

Storage Database Efficiency Processing 321

Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. Storage is a critical aspect to consider when working with cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., It’s also a fabulous example of recognising and challenging implicit assumptions. In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. SOSP’19.

Storage 64

Storage Systems Hardware Efficiency 64

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. By default, MongoDB provides a snappy block compression method for storage and network communication.

Storage 108

Storage Network Open Source Latency 108

Dynatrace

AUGUST 11, 2022

Infrastructure as a service (IaaS) handles compute, storage, and network resources. Consider a monolithic application, for example, designed to perform a host of functions. Microservices, on the other hand, make it possible to quickly scale up a single aspect of an application, such as storage or compute use.

Development 243

Development Serverless Best Practices Lambda 243

Scalegrid

MARCH 8, 2024

Use the ‘–log-bin’ option to designate a base name for the binary log files. Following creation, best practices dictate carefully transferring the secure backup file and its associated binary log SQL files to your designated recovery host. To enable this feature, you must: Turn the ‘log_bin’ variable to ‘ON’.

Database 162

Database Strategy Servers Best Practices 162

Percona

MAY 29, 2023

pgBackrest on the Main site streams backups and Write Ahead Logs (WALs) to the object storage. Once installed, configure the Custom Resource manifest so that pgBackrest starts using the Object Storage of your choice. In this blog post, we saw how Kubernetes and Operators can simplify your DR design.

Storage 120

Storage Cloud Network Traffic 120

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

Scalegrid

JANUARY 5, 2024

It was initially designed to mitigate the limitations of file management systems, including slow operations, inadequate security, and substantial data redundancy. It comprises a collection of interrelated data and a set of software tools that aid in the access, processing, and management of data.

Efficiency 147

Efficiency Storage Database Scalability 147

Scalegrid

JANUARY 8, 2024

Discover key insights and strategic advice in our article, designed to steer you toward the best cloud solution that fits your company’s priorities. For example, an application could use on-premises databases while also having access to ‘cloud bursting’ capabilities during times of high demand.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

OCTOBER 17, 2023

Grail stores and unifies all observability, security, and business data Now organizations can store all their observability, security, and business data in one repository: Grail , in Dynatrace without having to manage schemas, indexes, or storage tiers. This frees teams to focus on more strategic tasks.

Monitoring 218

Monitoring Artificial Intelligence Performance Analytics 218

Dynatrace

MAY 26, 2021

A great example of this is Dynatrace, that’s been doing SLA monitoring for years, which Jonah also shared in his talk. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run. OTel is designed to ensure flexibility and stability.

AWS 205

AWS Strategy Storage Metrics 205

All Things Distributed

AUGUST 20, 2012

Managing Cold Storage with Amazon Glacier. With the introduction of Amazon Glacier , IT organizations now have a solution that removes the headaches of digital archiving and provides extremely low cost storage. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud â??

Storage 122

Storage Cloud AWS Media 122

Strategic Tech

MAY 24, 2019

Over the past few years I have focused much of my learning and work choices around learning about the design of sociotechnical systems?—?how how to design software architectures and organise teams around them. As part of good design, we should consider the effects of changing all of these variables.

Design 45

Design Software Architecture Strategy Technology 45

Percona

FEBRUARY 24, 2023

For example, an Amazon Elastic Compute Cloud (EC2) instance with Graviton2 processors will be a better choice than non-ARM options, as it’s cheaper, and you will get real and faster cores which means the CPU cores are physical and not with hyper-threading. Amazon Elastic Block Store (EBS) is your good-to-go option for disk space.

Cloud 118

Cloud Serverless AWS Storage 118

The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. The efficiency achieved in processing and storage layers brought us big savings on computing and storage costs.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Percona

DECEMBER 11, 2023

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads.

AWS 96

AWS Benchmarking Performance Traffic 96

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host. The Kubernetes experience.

Virtualization 159

Virtualization Infrastructure Monitoring Cloud 159

Dynatrace

JUNE 27, 2023

Many AWS services and third party solutions use AWS S3 for log storage. While these are great examples of innovation and the power of the community, enterprises often require the type of continuous support and maintenance that only comes with official software.

AWS 191

AWS Cloud Lambda Analytics 191

Scalegrid

JANUARY 9, 2024

Defining Enterprise Cloud Security In today’s business landscape, the reliance on cloud services for data storage and processing has made enterprise cloud security a crucial factor. Tackling the Challenges of Cloud Security Enterprises face a unique array of challenges related to cloud security.

Strategy 130

Strategy Cloud Best Practices Government 130

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Now let’s look at how we designed the tracing infrastructure that powers Edgar. A second job taps the data feed from the first job, does tail sampling of data and writes traces to the storage system.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

JUNE 7, 2023

Kubernetes also gives developers freedom of choice when selecting operating systems, container runtimes, storage engines, and other key elements for their Kubernetes environments. Without having to worry about underlying infrastructure concerns, such as storage, security, and lifecycle management, developers can focus on writing code.

Open Source 199

Open Source Social Media Infrastructure Operating System 199

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. Solution : Like the freshness example, Dynatrace can monitor the record count over time.

DevOps 189

DevOps Analytics Airlines Metrics 189