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. This goal isn’t limited to observability efforts. Ingest and process with Grail.

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Predictive analytics, powered by AI, enhance business processes and optimize resource allocation according to workload demands.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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. Suppose a single Grail environment is central storage for pre-production and production systems.

Artificial Intelligence 258

Artificial Intelligence Analytics Metrics Storage 258

Dynatrace

OCTOBER 23, 2023

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. Therefore, we have redesigned this extension from scratch, replacing the previously available WMI-based extension.

Efficiency 210

Efficiency Virtualization Hardware Performance 210

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. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

JANUARY 12, 2024

All rely heavily on utilizing allocated portions from existing pools made available through specific providers as part of their service offerings. There are numerous choices available for deploying these workloads on various cloud provider platforms that offer unique capabilities.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Comparing log monitoring, log analytics, and log management. It is common to refer to these together as log management and analytics.

Systems 183

Systems Cloud Analytics DevOps 183

Dynatrace

JUNE 27, 2023

Logs complement out-of-the-box metrics and enable automated actions for responding to availability, security, and other service events. Many AWS services and third party solutions use AWS S3 for log storage. Dynatrace Log Management and Analytics powered by Grail enables you to get answers from logs with any query at any time.

AWS 195

AWS Cloud Lambda Analytics 195

Scalegrid

DECEMBER 21, 2023

To achieve optimal tracking results it is important to choose wisely among available tools like Prometheus or Grafana, which offer deeper insights into understanding your Redis® instances for better performance optimization. Or even having limitations when trying vertical/horizontal scalability while ensuring availability at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

FEBRUARY 15, 2023

Additionally, its modern architecture delivers cost-effective storage and compute. As a result, teams benefit from low-cost cloud storage that provides access to all data and doesn’t require data rehydration. AppEngine uses this data and simplifies intelligent app creation and integrations for teams throughout an organization.

Analytics 130

Analytics Storage Cloud Code 130

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

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

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. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

NOVEMBER 20, 2023

How this data-driven technique gives foresight to IT teams – blog By analyzing patterns and trends, predictive analytics enables teams to take proactive actions to prevent problems or capitalize on opportunities. What is predictive AI? What is AIOps?

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. All the tedious tasks such as storage, backups, and configuration are managed by an attentive crew so that you can concentrate on making your vacation special.

Database 130

Database Cloud Hardware Storage 130

All Things Distributed

OCTOBER 12, 2016

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. All these capabilities are available to customers at no additional charge, and maintain open-source Redis compatibility.

Scalability 130

Scalability Analytics Cache AWS 130

Dynatrace

MARCH 24, 2023

This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. The configuration file directs the container orchestration tool on how to retrieve container images, how to create a network between containers, and where to store log data or mount storage volumes.

Infrastructure 182

Infrastructure Open Source Operating System Cloud 182

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. Procella achieves high scalability and efficiency by segregating storage (in Colossus) from compute (on Borg).

Analytics 75

Analytics Latency Cache Google 75

Percona

MARCH 30, 2023

In simple terms, an open source database is this: It’s a database with source code that is free and available to all. Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. What is an open source database?

Open Source 77

Open Source Database Storage Scalability 77

Dynatrace

DECEMBER 16, 2022

Don’t put resources into building a platform that is available off the shelf. AI-powered precise answers and timely insights with ad-hoc analytics. But DIY is neither sufficient nor scalable to meet enterprise needs in the long run. This goes with the notion that businesses should invest in building true differentiators.

Innovation 193

Innovation Software Software Cloud 193

Percona

MARCH 17, 2023

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. PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Virtual Memory utilization was averaging 48 GB of RAM.

Monitoring 101

Monitoring Scalability Cache Database 101

Percona

JULY 17, 2023

DBAs and developers appreciate its combination of flexibility, scalability, and performance. It’s a good setup for real-time analytics and high-speed logging. MongoDB replica sets enable data redundancy and automatic failover, setting the stage (there’s that term again) for high availability.

Open Source 77

Open Source Database Scalability Software 77

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. Amazon Kinesis Data Analytics. Amazon Redshift.

AWS 135

AWS Metrics IoT Storage 135

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. Amazon Kinesis Data Analytics. Amazon Redshift.

AWS 132

AWS Metrics IoT Storage 132

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 167

Scalability Database Ecommerce Latency 167

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. How-to documentation is readily available.

Open Source 80

Open Source Healthcare Social Media Database 80

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. As the paved path for moving data to key-value stores, Bulldozer provides a scalable and efficient no-code solution.

Latency 243

Latency Storage Big Data Tuning 243

Dynatrace

JANUARY 23, 2024

Cloud observability is central to platform engineering The uptick in digital transformation initiatives has created a drive for scalability among global organizations. Edge computing brings compute and data storage closer to where data is generated to help reduce costs, boost performance, and improve customer experience.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167

Database AWS Games Latency 167

Percona

JUNE 4, 2023

MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB. In addition, MariaDB provides optimal scalability options, making it ideal for growing workloads.

Open Source 52

Open Source Servers Storage Scalability 52

Dynatrace

NOVEMBER 5, 2019

Available as an agent installer). Digital Experience Monitoring (DEM) – A fully integrated DEM enables monitoring of the end-user experience for your applications while also providing data for business-level analytics. Organic scalability of the monitoring platform with the applications.

Azure 136

Azure Artificial Intelligence Metrics Innovation 136

All Things Distributed

MAY 18, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud - Amazon S3 Reduced Redundancy Storage. Today a new storage option for Amazon S3 has been launched: Amazon S3 Reduced Redundancy Storage (RRS). By Werner Vogels on 18 May 2010 04:00 PM. Comments (). Durability in Amazon S3.

Storage 71

Storage Cloud AWS Scalability 71

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. PostgreSQL & Elastic for data storage. When focusing on the LanguageController service we learn that it’s currently deployed in three pods across three EKS nodes across two AWS Availability Zones (AZ). Full-stack observability. End-to-end code-level tracing. Service mash insights.

AWS 127

AWS Monitoring Ecommerce Lambda 127

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

All Things Distributed

OCTOBER 17, 2016

It brings the worldwide total of AWS Availability Zones (AZs) to 38, and the number of regions globally to 14. Now customers who have been requesting a second US East region have more infrastructure options for running workloads, storing files, running analytics, and managing databases.

AWS 127

AWS Cloud Infrastructure Analytics 127