Dynatrace

OCTOBER 4, 2022

A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. What is a data lakehouse? How does a data lakehouse work?

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

Percona Community

OCTOBER 23, 2020

In this blog post we’re going to see those technologies at work to give us awesome block storage performance with flexibility and simple operations. It’s a new generation in storage software, designed for super high speed low latency NVMe devices. Why is SPDK exciting?

Storage 52

Storage Latency Speed Database 52

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 166

Storage Healthcare Best Practices Speed 166

Dynatrace

OCTOBER 4, 2022

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). This decoupling ensures the openness of data and storage formats, while also preserving data in context. Grail is built for such analytics, not storage.

Artificial Intelligence 269

Artificial Intelligence Analytics Storage Architecture 269

Scalegrid

MARCH 28, 2024

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

OCTOBER 6, 2023

Buckets are similar to folders, a physical storage location. Debug-level logs, which also generate high volumes and have a shorter lifespan or value period than other logs, could similarly benefit from dedicated storage. This improves query speeds and reduces related costs for all other teams and apps.

Artificial Intelligence 262

Artificial Intelligence Analytics Metrics Storage 262

Scalegrid

FEBRUARY 1, 2024

Having MySQL backups for your database can speed up and simplify the recovery process. The biggest drawbacks are that a full backup can be time-consuming, and they require a significant amount of storage space. This backup type can save on storage space and reduce backup time by only capturing the changes made since the last backup.

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. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

Serverless 280

Serverless AWS Lambda Storage 280

Dynatrace

AUGUST 11, 2022

Effective application development requires speed and specificity. Infrastructure as a service (IaaS) handles compute, storage, and network resources. Microservices, on the other hand, make it possible to quickly scale up a single aspect of an application, such as storage or compute use. Dynatrace news. But how does FaaS fit in?

Development 251

Development Serverless Best Practices Lambda 251

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 246

Engineering DevOps Innovation Storage 246

Dynatrace

OCTOBER 4, 2022

In most data storage models, indexing engines enable faster access to query logs. But indexing requires schema management and additional storage to be effective, which adds cost and overhead. This can vastly reduce an organization’s storage costs and improve data efficiency. The Dynatrace difference, powered by Grail.

Analytics 221

Analytics Storage Infrastructure Metrics 221

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

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 214

Analytics Storage Retail Monitoring 214

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 177

Cloud Artificial Intelligence Innovation Analytics 177

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 200

Analytics Infrastructure Efficiency Technology 200

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 112

Storage Network Open Source Latency 112

Dynatrace

OCTOBER 4, 2022

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. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. It helps derive context between different data slices.

Analytics 191

Analytics Software Software Storage 191

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 181

Analytics Storage Retail Monitoring 181

Scalegrid

MAY 13, 2020

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Polymorphic Data Storage. Greenplum’s polymorphic data storage allows you to control the configuration for your table and partition storage with the freedom to execute and compress files within it at any time.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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 148

Cloud Artificial Intelligence Innovation Analytics 148

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

Smashing Magazine

OCTOBER 29, 2019

Speed Up Your Website With WebP. Speed Up Your Website With WebP. Here’s what Google suggests: PageSpeed Insights demonstrates how much storage and bandwidth websites stand to save with WebP. Needless to say, there’s nothing that can beat WebP when it comes to speed while maintaining image integrity. “. Suzanne Scacca.

Website 72

Website Speed Cache Google 72

Percona

JULY 25, 2023

You can choose to save them locally on the same server, stream them to different servers, or store them in object storage. STDOUT Datasink This diagram displays the process of streaming a backup to object storage utilizing the current STDOUT datasink: XtraBackup spawns multiple copy threads.

Storage 81

Storage Speed Open Source Servers 81

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. This method known as GitOps would also boost the speed and efficiency of practicing DevOps organizations. GitOps improves speed and scalability. Dynatrace news. What is GitOps?

DevOps 226

DevOps Infrastructure Speed Cloud 226

Scalegrid

JANUARY 12, 2024

Storage is a critical aspect to consider when working with cloud workloads. High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it. This also aids scalability down the line.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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 226

Monitoring Artificial Intelligence Performance Analytics 226

Scalegrid

MARCH 8, 2024

For instance, the LZ4 algorithm is a valuable strategy for accelerating large datasets’ backup and recovery process while reducing storage and I/O demands. Automating the PITR process is advisable as it helps to reduce errors caused by manual intervention while speeding up the time recovery operation.

Database 162

Database Strategy Servers Best Practices 162

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 133

Best Practices Latency Storage Tuning 133

Percona

APRIL 24, 2023

I keep seeing many articles and talks on “tuning” discussing how creating new indexes speeds up SQL but rarely ones discussing removing them. This is in addition to the read I/O required to bring the additional index pages from storage for specific queries. The total database size grows to a multiple of the actual data.

Tuning 129

Tuning Cache Storage Database 129

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 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

JANUARY 11, 2023

High storage costs. To analyze long-term trends using traditional methods, teams must rehydrate data that resides in “cold data storage” (older data that is no longer accessible for daily operations). This combination offers rich data management and analytics on top of low-cost cloud storage. Search constraints.

Analytics 188

Analytics Strategy Storage Technology 188

Scalegrid

DECEMBER 28, 2023

Also, thinking about write process speed & storage capacity must always come first before creating indexes as well. This means your relevant answers will now come with better speed than ever! It must be noted though that indices should only be built on high usage query criteria otherwise extra overhead might take place.

Best Practices 130

Best Practices Efficiency Strategy Speed 130

Dynatrace

FEBRUARY 12, 2024

Grail handles data storage, data management, and processes data at massive speed, scale, and cost efficiency,” Singh said. An overview of the Dynatrace unified observability and security platform.

Analytics 181

Analytics Artificial Intelligence Engineering Storage 181

Percona

MARCH 23, 2023

Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Cloud Different cloud providers offer a range of instance types and sizes, each with varying amounts of CPU, memory, and storage. Setting oom_score_adj to -800. Try Percona Distribution for MySQL today!

Performance 129

Performance Hardware Tuning Storage 129

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 277

Efficiency Performance Analytics DevOps 277

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 198

Best Practices Mobile Metrics Performance 198

Dynatrace

DECEMBER 5, 2023

You’re no longer required to use a single offering or choose from a few instance families; Graviton includes general-purpose and accelerated-computing offerings, plus compute-, memory-, and storage-optimized instances. In this way, log data is always associated with the host, service, or other entity that generated it.

Efficiency 267

Efficiency Architecture Energy Monitoring 267