Dynatrace

DECEMBER 5, 2023

Streamline privacy requirements with flexible retention periods Data retention is a critical aspect of data handling, and it’s not just about privacy compliance—it’s about having the flexibility to optimize data storage times in Grail for your Dynatrace use cases. Other data types will be available soon). What’s next?

Storage 162

Storage Healthcare Best Practices Speed 162

Dynatrace

JUNE 10, 2024

Dehydrated data has been compressed or otherwise altered for storage in a data warehouse. Observability starts with the collection, storage, and accessibility of multiple sources. Dynatrace Grail introduces a new architectural design that addresses both of these issues to provide both rich data management and low-cost cloud storage.

Analytics 157

Analytics Network Hardware Open Source 157

DZone

MAY 5, 2022

There are three primary reasons for choosing AWS S3: affordability, speed, and reliability. S3 plays a critical role in storing objects in hot and cold storage. Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance.

AWS 130

AWS Storage Scalability Speed 130

Dynatrace

OCTOBER 30, 2023

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. But it is not only the number of clusters that matters, but also the storage underneath. Digital transformation continues surging forward.

Engineering 239

Engineering DevOps Innovation Storage 239

Dynatrace

JULY 29, 2022

Databases, however, require indexing — a data structure that improves the speed of data retrieval — before log data can be searched and analyzed. Cold storage and rehydration. Because data storage can be costly, organizations may opt to store some data in cold, or inactive, storage. Inadequate context.

Analytics 208

Analytics Storage Retail Monitoring 208

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. They should move from technologies that rely on traditional data warehouse and data lake-storage models and embrace a modern data lakehouse-based approach. Data lakehouse architecture addresses data explosion.

Cloud 171

Cloud Artificial Intelligence Innovation Analytics 171

Dynatrace

JULY 29, 2022

Databases, however, require indexing — a data structure that improves the speed of data retrieval — before log data can be searched and analyzed. Cold storage and rehydration. Because data storage can be costly, organizations may opt to store some data in cold, or inactive, storage. Inadequate context.

Analytics 175

Analytics Storage Retail Monitoring 175

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. They should move from technologies that rely on traditional data warehouse and data lake-storage models and embrace a modern data lakehouse-based approach. Data lakehouse architecture addresses data explosion.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Dynatrace

APRIL 8, 2024

Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. This enables banks to manage risk with the speed and precision mandated by their markets. Automated issue resolution. Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience.

Analytics 194

Analytics Infrastructure Efficiency Technology 194

Scalegrid

JANUARY 5, 2024

The DBMS is key to maintaining these aspects by offering a storage system that allows users to perform operations such as data insertion, deletion, and selection, thereby promoting enhanced data integration across diverse applications and platforms.

Efficiency 147

Efficiency Storage Database Scalability 147

DZone

JULY 10, 2019

In addition, compute and storage are increasingly being separated causing larger latencies for queries. Alluxio is leveraged as compute-side virtual storage to improve performance. The Apache Spark + Alluxio stack is getting quite popular particularly for the unification of data access across S3 and HDFS.

Best Practices 138

Best Practices Latency Storage Tuning 138

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.

Monitoring 219

Monitoring Artificial Intelligence Performance Analytics 219

Dynatrace

JANUARY 23, 2024

Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. Check back here throughout the event for the latest news, insights, and announcements.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

FEBRUARY 10, 2023

From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. Learn more.

Efficiency 269

Efficiency Performance Analytics DevOps 269

Dynatrace

SEPTEMBER 23, 2020

Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Sometimes these locations landed on mount points which, due to capacity, availability, or access constraints, weren’t well suited for large runtime storage. See details below. See details below.

Storage 145

Storage Latency Operating System Network 145

Dynatrace

DECEMBER 13, 2023

This includes how quickly the application loads, how much load it is putting on the device, how much storage is being used, and how frequently it crashes. Mobile app performance is not just about speed and responsiveness but also about battery life. Optimize battery life. Continuous monitoring.

Best Practices 191

Best Practices Mobile Metrics Performance 191

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. Ford, et al., “TCP

Performance 140

Performance Latency Hardware Storage 140

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. Queued messages are typically small and specific.

Monitoring 193

Monitoring Serverless Programming Speed 193

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. Queued messages are typically small and specific.

Monitoring 192

Monitoring Serverless Programming Speed 192

Percona

NOVEMBER 20, 2023

Although the introduction of physical backups in Percona Backup for MongoDB (PBM) made it possible to significantly cut the restore time for big datasets, it’s hard to beat snapshots in speed and efficiency. Then, it copies files to the storage. The idea came from the requests to bring EBS snapshots into PBM.

Storage 81

Storage Database Strategy Speed 81

Dynatrace

JULY 29, 2021

The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. Such business requirements, or other customer-specific domain knowledge, can be used to extend Dynatrace Smartscape®.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

AUGUST 9, 2023

Log storage and data retention : As regulations grow more stringent, data retention requirements and costs can quickly mount. A coordinated organizational approach to patching vulnerabilities or initiating incident response before an actual breach occurs increases speed, and reduces costs, and accelerates innovation.

Analytics 211

Analytics Metrics Database Storage 211

Percona

SEPTEMBER 19, 2023

Now, since backup speed and compactness are important for busy, important databases, Percona’s open source physical backup solution – Percona XtraBackup (PXB) , takes into account all these aspects and benefits MySQL world with its exceptional capabilities! The read speed is too slow, which usually is a sign of IO congestion.

C++ 101

C++ Servers Storage Speed 101

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. The primary goal of ITOps is to provide a high-performing, consistent IT environment.

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

Percona

AUGUST 23, 2023

To reduce the backup size, save storage space, and speed up the backup and restore process, you can compress a backup with Percona XtraBackup. To compress and decompress local or streaming backups, Percona XtraBackup uses xbstream – a binary that supports simultaneously compressing and streaming dynamically generated files.

Open Source 84

Open Source Storage Speed Servers 84

Brendan Gregg

FEBRUARY 28, 2023

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 110

Performance Latency Cache Virtualization 110

Percona

JULY 24, 2023

PBM) introduced a GA version of incremental physical backups , which can greatly impact both the recovery time and the cost of backup (considering storage and data transfer cost). In short, for larger datasets, there is a very distinctive speed improvement in recovery. In the previous minor release, Percona Backup for MongoDB 2.1.0 (PBM)

Availability 75

Availability Open Source Strategy Storage 75

Percona

MARCH 10, 2023

Summary Capped collection can be useful to store log file information as it’s close to the speed of writing log information directly to a file system without the index overhead. collection’s storage mechanism due to its solid performance. MongoDB itself uses the capped collection for replication of oplog.rs

Open Source 100

Open Source Storage Speed Servers 100

SQL Shack

JULY 10, 2019

By removing disk-based storage and the challenge of copying data in and out of memory, query speeds in SQL Server can be improved by orders of magnitude. Introduction In-memory technologies are one of the greatest ways to improve performance and combat contention in computing today.

Servers 79

Servers Latency Storage Speed 79

Testsigma

DECEMBER 4, 2020

Since the mobile apps have limited storage space and power supply, test for memory utilization as well as battery usage. Step 6: Storage. However, the devices do not have enough storage to fulfil the need of installing high-resolution apps. Check the app on different networks and speeds. Protect Local Storage Data.

Mobile 65

Mobile Testing Operating System Storage 65

Dynatrace

SEPTEMBER 13, 2023

Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond A study by Amazon found that increasing page load time by just 100 milliseconds costs 1% in sales.  Beyond efficiency, validating performance thresholds is also crucial for revenues.

AWS 240

AWS Efficiency Azure Cloud 240

Percona

JUNE 22, 2023

Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution. They include backup success rate, backup duration, recovery time objective (RTO), recovery point objective (RPO), and backup storage utilization.

Performance 102

Performance Monitoring Traffic Database 102

n0derunner

OCTOBER 5, 2020

How to speed up your X-ray benchmark development cycle by re-using/re-cycling benchmark VMs and more importantly data-sets. Assuming we have enough storage bandwidth, the throughput. Problem: For large datasets, creating the data on-disk can be time consuming.

Benchmarking 52

Benchmarking Storage Speed Development 52

Percona

APRIL 14, 2023

Consider alternative tools, systems, and services: Many cloud providers offer long-term storage, serverless options, or component options for specific needs, with vastly different pricing models. Deactivate or eliminate elements you’re not using.

Database 80

Database Serverless Tuning Cloud 80

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 Database: MySQL 8.0.31

Performance 54

Performance Benchmarking Cache Storage 54

Dynatrace

NOVEMBER 23, 2020

While speeding up development processes and reducing complexity does make the lives of Kubernetes operators easier, the inherent abstraction and automation can lead to new types of errors that are difficult to find, troubleshoot, and prevent. Configuring storage in Kubernetes is more complex than using a file system on your host.

Virtualization 159

Virtualization Infrastructure Monitoring Cloud 159

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 84

Storage Engineering Database Hardware 84