SQL Performance

APRIL 15, 2020

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Unfortunately, my excitement was short lived for a couple of reasons.

Azure 96

Azure Database Tuning Network 96

Dynatrace

NOVEMBER 11, 2022

More organizations are adopting a hybrid IT environment, with data center and virtualized components. However, today’s IT teams are stretched thin, with little time to firefight issues with deployment, integration, and data center management. But in an HCI framework, purchasing more storage means purchasing more compute.

Infrastructure 200

Infrastructure Storage Virtualization Network 200

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. This paper describes the design decisions behind the Snowflake cloud-based data warehouse. An increasingly large fraction of data in modern workloads comes from less predictable and highly variable sources. joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

High Scalability

JANUARY 11, 2022

Architecture. from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. High Level Design.

Design 334

Design Media Storage Logistics 334

SQL Performance

APRIL 27, 2020

Azure SQL Database is Microsoft's database-as-a-service offering that provides a tremendous amount of flexibility. Microsoft is continually working on improving their products and Azure SQL Database is no different. Microsoft is continually working on improving their products and Azure SQL Database is no different. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

Percona

DECEMBER 27, 2022

Encrypting data at rest in a database management system (DBMS) refers to securing data by encrypting it when it is not being used or accessed. This is often done to protect sensitive data from unauthorized access or theft. Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device.

Database 93

Database Storage Servers Strategy 93

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. These rapid changes — as well as the increasing volume and variety of data created — require a new approach to observability. How observability works in a traditional environment.

Cloud 226

Cloud Serverless Hardware Operating System 226

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time.

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch.

Open Source 343

Open Source Java Operating System Programming 343

Dynatrace

MARCH 24, 2023

Problems include provisioning and deployment; load balancing; securing interactions between containers; configuration and allocation of resources such as networking and storage; and deprovisioning containers that are no longer needed. How does container orchestration work? The post What is container orchestration?

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. Generative AI brings data quality risks But generative AI also brings risks in terms of data quality.

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

Dynatrace

JUNE 7, 2023

” In recent years, cloud service providers such as Amazon Web Services, Microsoft Azure, IBM, and Google began offering Kubernetes as part of their managed services. Without having to worry about underlying infrastructure concerns, such as storage, security, and lifecycle management, developers can focus on writing code.

Open Source 206

Open Source Social Media Infrastructure Operating System 206

Scalegrid

JANUARY 8, 2024

Integrating data sources and applications across multiple cloud providers brings about integration hurdles due to the different platforms involved. Like ScaleGrid’s offerings for multi-cloud architecture compatibility, its solutions are well-suited for use within a single cloud provider or a hybrid cloud setup as well.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Scalegrid

JANUARY 8, 2024

AI algorithms embedded in cloud architecture automate repetitive processes, streamlining workloads and reducing the chance of human error. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. Though it may be overwhelming, there can still be great appeal when one has control over their own data privacy requirements depending on how customization is desired by the organization itself.

Database 130

Database Cloud Hardware Storage 130

Adrian Cockcroft

NOVEMBER 26, 2023

The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. Google Cloud and Microsoft Azure released Scope 3 data in 2021. Google Cloud and Microsoft Azure released Scope 3 data in 2021.

AWS 52

AWS Energy IoT Best Practices 52

Percona

JUNE 30, 2023

Architecture Operator SDK is now used to build and package the Operator. In addition to that: Run up to four pgBackrest repositories Bootstrap the cluster from the existing backup through Custom Resource Azure Blob Storage support Operations Deploying complex topologies in Kubernetes is not possible without affinity and anti-affinity rules.

Availability 95

Availability Open Source Azure Hardware 95

Percona

DECEMBER 4, 2023

Release highlights include: Docker images are now available for x86_64 architectures. Download Percona Distribution for PostgreSQL 16.1 Percona Distribution for PostgreSQL 15.5 Percona Distribution for PostgreSQL 15.5 was released on November 30, 2023. This release of Percona Distribution for PostgreSQL is based on PostgreSQL 15.5.

Open Source 81

Open Source Azure Servers Programming 81

KeyCDN

FEBRUARY 22, 2023

Another benefit is cost savings associated with server and data center setup and maintenance. There are several popular cloud-based platforms for web development and deployment, such as AWS , Azure , and Google Cloud Platform. The main benefits of serverless architecture are cost savings and scalability.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention.

IoT 78

IoT Analytics Big Data Architecture 78

Percona

JULY 1, 2023

It efficiently manages read and write operations, optimizes data access, and minimizes contention, resulting in high throughput and low latency to ensure that applications perform at their best. These automated features reduce the burden on DBAs and organizations for their data protection efforts by simplifying database backups and recovery.

AWS 52

AWS Database Serverless Storage 52

Dynatrace

SEPTEMBER 17, 2019

Some vendors have just bolted on individual capabilities which often leads to six data silos. PostgreSQL & Elastic for data storage. MaaSS for Business: Data per SaaS-Tenant. The Business teams therefore built a set of dashboards that contain the data they want to see. REDIS for caching.

AWS 127

AWS Monitoring Ecommerce Lambda 127

O'Reilly

NOVEMBER 12, 2019

For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. The chart packs in a lot of data. A quick summary reveals that sophisticated respondents—i.e.,

Serverless 88

Serverless Architecture FinTech Infrastructure 88

Brendan Gregg

FEBRUARY 28, 2023

Titus, the Netflix container management platform, is now open source,” [link] Apr 2018 - [Cutress 19] Dr. [link] 2021 - [Trader 21] Tiffany Trader, “Cerebras Second-Gen 7nm Wafer Scale Engine Doubles AI Performance Over First-Gen Chip ,” [link] Apr 2021 - [Ghigoff 21] Yoann Ghigoff, et al., "BMC:

Performance 110

Performance Latency Cache Virtualization 110

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. It provides a flexible data model allowing you to easily store unstructured data. If you don’t update to this version, you will run the risk of losing data. MongoDB is popular with developers as it is easy to get started with.

Database 81

Database Servers Storage Strategy 81

Enprowess

JANUARY 12, 2022

Serverless Architecture. So it is convenient for all to use irrespective of internet speed and it works offline using cached data. According to Ericsson’s analysis, international mobile data traffic is projected to become 4.5 You can easily access these data by integrating chatbot with your CRM. AI-powered Chatbots.

Blockchain 59

Blockchain IoT Development Serverless 59

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.

Logistics 52

Logistics Retail Analytics Azure 52

High Scalability

APRIL 16, 2019

This scenario is more commonly known as split-brain scenario, and if not handled properly, can lead to more than one node claiming to be a master MySQL which in turn leads to data inconsistencies and corruption. Let’s use an example to review how our framework deals with split-brain scenarios in the cluster.

Availability 149

Availability Network Azure AWS 149

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Adrian Cockcroft

APRIL 5, 2023

by Adrian Cockcroft Three windows lined up to let the light in through a door in the Madrassa, Marrakech — Picture by Adrian The existing approaches to carbon measurement provide delayed data for carbon accounting that is more akin to billing information in the way it is structured and queried.

Energy 52

Energy Metrics Cloud Operating System 52

Particular Software

JULY 12, 2021

In your back-end system, you might benefit from event-driven architecture, automatic message retries, and orchestration of long-running business processes. For example, if your order entry front end can benefit from rapid prototyping, you should be able to use Ruby on Rails and Active Record.

Processing 52

Processing Transportation Azure C++ 52

Brendan Gregg

FEBRUARY 28, 2023

Titus, the Netflix container management platform, is now open source,” [link] , Apr 2018 [Cutress 19] Dr. [link] , 2021 [Trader 21] Tiffany Trader, “Cerebras Second-Gen 7nm Wafer Scale Engine Doubles AI Performance Over First-Gen Chip ,” [link] , Apr 2021 [Ghigoff 21] Yoann Ghigoff, et al.,

Performance 52

Performance Latency Cache Virtualization 52