Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. Greenplum Architectural Design. Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required.

Artificial Intelligence 267

Artificial Intelligence Analytics Storage Architecture 267

Dynatrace

APRIL 28, 2023

This means compromising between keeping data available as long as possible for analysis while juggling the costs and overhead of storage, archiving, and retrieval. This allows you to design data management and retention policies based on individual requirements, starting from days of retention up to a decade.

Analytics 213

Analytics Storage Infrastructure Metrics 213

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Unlike data warehouses, however, data is not transformed before landing in storage. A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Query language.

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

Dynatrace

JANUARY 23, 2024

These are the goals of AI observability and data observability, a key theme at Dynatrace Perform 2024 , the observability provider’s annual conference, which takes place in Las Vegas from January 29 to February 1, 2024. Join us at Dynatrace Perform 2024 , either on-site or virtuall y, to explore these themes further.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

JUNE 6, 2023

Therefore, they are built to be non-persistent by design. Traditional storage solutions were not created to address these requirements, which are common among modern deployments. Traditional storage solutions were not created to address these requirements, which are common among modern deployments. AI-powered analytics.

Open Source 192

Open Source Storage Analytics Innovation 192

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 183

DevOps Analytics Storage Metrics 183

Dynatrace

NOVEMBER 20, 2023

Read on to learn more about generative AI, causal AI, predictive AI, and how the AWS platform, alongside observability, promotes digital transformation, cloud modernization, and cloud migration without compromising application performance and security. What is predictive AI? What is AIOps?

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

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 261

Artificial Intelligence Analytics Metrics Storage 261

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis and Memcached both provide high performance with sub-millisecond response times. Choosing between Redis and Memcached hinges on specific application requirements.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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 237

Retail Storage Best Practices Architecture 237

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Storage is a critical aspect to consider when working with cloud workloads. What is workload in cloud computing?

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. These cultural points resonated with me most: freedom and responsibility, high bar for performance, and no hiring of brilliant jerks.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Queries in an IMDG can create interesting performance challenges.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Queries in an IMDG can create interesting performance challenges.

Analytics 52

Analytics Airlines Cache Scalability 52

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. VLDB’19. are divided. Reporting and dashboarding use cases (e.g.

Analytics 75

Analytics Latency Cache Google 75

Scalegrid

MARCH 14, 2024

Public Cloud Infrastructure Third-party providers run public cloud services, delivering a broad array of offerings like computing power, storage solutions, and network capabilities that enhance the functionality of a hybrid cloud architecture. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

SEPTEMBER 30, 2021

Not only will they get much more out of the tools they use daily, but they’ll also be able to deliver superior functionality, efficiency, and performance to your customers. By carving the right AWS certification path, developers can even use their certification and training to advance their careers long term. Core AWS certifications.

AWS 209

AWS Best Practices Analytics Cloud 209

Dynatrace

NOVEMBER 22, 2021

EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale. With EC2, Amazon manages the basic compute, storage, networking infrastructure and virtualization layer, and leaves the rest for you to manage: OS, middleware, runtime environment, data, and applications. Amazon EC2.

Best Practices 211

Best Practices AWS Monitoring Serverless 211

Dynatrace

SEPTEMBER 7, 2022

With Amazon Web Services, the main sources from which to ingest logs—Simple Storage Service, or S3, and CloudWatch —come with an additional cost. Today, Dynatrace is recognized as a Leader in the 2022 Gartner Magic Quadrant for Application Performance Monitoring and Observability.¹ Why Dynatrace? Learn more about VPC Flow Logs.

Traffic 215

Traffic AWS Network Cloud 215

Dynatrace

APRIL 26, 2022

Understanding why a user is experiencing transactional or performance issues enables organizations to achieve greater observability that goes beyond metrics, traces and logs. Digital experience monitoring (DEM) allows an organization to optimize customer experiences by taking into account the context surrounding digital experience metrics.

Monitoring 203

Monitoring Social Media IoT Metrics 203

Dynatrace

DECEMBER 15, 2022

ITOps refers to the process of acquiring, designing, deploying, configuring, and maintaining equipment and services that support an organization’s desired business outcomes. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

AUGUST 24, 2020

Further reading about Business Analytics : . Digital Business Analytics. Digital Business Analytics: Let’s get started. Digital Business Analytics: Accelerate your dashboard journey . Conclusion. Kubernetes components like nodes and Pods come and go quickly.

Analytics 240

Analytics Infrastructure AWS Operating System 240

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. 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

AUGUST 27, 2020

AWS IoT Analytics. AWS Storage Gateway. Additionally, Dynatrace creates predefined dashboard templates to visualize each service usage and performance. Ensure high application performance by easily troubleshooting Amazon Neptune graph database. Amazon Quantum Ledger Database (QLDB). AWS IoT Things Graph. Amazon Lex.

AWS 269

AWS Cloud IoT Database 269

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. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

DECEMBER 20, 2021

Improved analytic context. While data analysis tools such as Google Analytics provide statistics based on user experiences, they lack details about what the user is doing and experiencing. Conversely, if users encounter functional issues or poor UI design that frustrate common actions, replays provide clear evidence.

Mobile 246

Mobile Website Analytics Cache 246

Dynatrace

SEPTEMBER 8, 2023

Similar to the tutorial extension, we created an extension that performs queries against databases. To achieve this, we’ll create a Grail bucket specifically designed to retain data for a duration of 10 years (3,657 days). Notably, the SQL query is not limited to specific columns or data with specific metric values (int or float).

Database 269

Database Artificial Intelligence Metrics Monitoring 269

Alex Russell

MARCH 6, 2021

Back in 2016, I gave a talk outlining the causes and effects of the terrible performance of web apps built using popular tools on the fastest-growing device segment: low-end to mid-range Android phones. Poor performance has a compound effect on user expectations at an ecosystem level. Live by the link, die by the link.

Performance 124

Performance Network Cache Metrics 124

Percona

MARCH 17, 2023

These updates are designed to keep databases running at peak performance and simplify database operations. But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment.

Monitoring 105

Monitoring Scalability Cache Database 105

Percona

MARCH 30, 2023

Past trepidation — about perceived vulnerabilities and performance issues — has faded as decision makers realize what an “open source database” really is and what it offers. For example, an analytics application would work best with unstructured image files stored in a non-relational graph database.

Open Source 79

Open Source Database Storage Scalability 79

Smashing Magazine

JANUARY 11, 2021

Front-End Performance Checklist 2021. Front-End Performance Checklist 2021. This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Vitaly Friedman. Table Of Contents.

Performance 145

Performance Cache Media Metrics 145

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. PostgreSQL has powerful and advanced features, including asynchronous replication, full-text searches of the database, and native support for JSON-style storage, key-value storage, and XML. What is PostgreSQL used for?

Open Source 82

Open Source Healthcare Social Media Database 82

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. JSONB storage has some drawbacks vs. traditional columns: PostreSQL does not store column statistics for JSONB columns.

Storage 321

Storage Database Efficiency Processing 321

All Things Distributed

AUGUST 18, 2011

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. Hadoop is quickly becoming the preferred tool for this type of large scale data analytics.

Big Data 111

Big Data Analytics AWS Cloud 111