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

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. For such workloads, shared-nothing architectures beget high cost, inflexibility, poor performance, and inefficiency, which hurts production applications and cluster deployments. joins) during query processing. Disaggregation (or not).

Storage 112

Storage Engineering Cache Serverless 112

Dynatrace

APRIL 19, 2023

.” Once data reaches an organization’s secure tenant in the software as a service (SaaS) cluster, teams can “also can exclude certain types of data with ease of configuration and strong defaults at storage in Grail [the Dynatrace data lakehouse that houses data],” added Ferguson. Why perform exclusion at two points?

Design 181

Design Storage Programming Analytics 181

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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

High Scalability

APRIL 16, 2019

In this three-part blog series, we introduced a High Availability (HA) Framework for MySQL hosting in Part I, and discussed the details of MySQL semisynchronous replication in Part II. Now in Part III, we review how the framework handles some of the important MySQL failure scenarios and recovers to ensure high availability.

Availability 149

Availability Network Azure AWS 149

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 176

Infrastructure Open Source Operating System Cloud 176

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? Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 236

AWS Efficiency Azure Cloud 236

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. In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.”

Cloud 216

Cloud Serverless Hardware Operating System 216

Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Cloud-hosted Kubernetes clusters are on par to overtake on-premises deployments in 2023.

Open Source 333

Open Source Java Operating System Programming 333

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 198

Analytics Monitoring Artificial Intelligence DevOps 198

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. Like Kubernetes, it allocates resources efficiently and ensures high availability and fault tolerance. This flexibility helps organizations avoid vendor lock-in.

Open Source 195

Open Source Social Media Infrastructure Operating System 195

Scalegrid

JANUARY 8, 2024

AI algorithms embedded in cloud architecture automate repetitive processes, streamlining workloads and reducing the chance of human error. With a multi-cloud architecture, Scalegrid offers the flexibility and competitive edge necessary for AI applications in the rapidly evolving tech environment.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Percona

DECEMBER 4, 2023

Percona software is designed for peak performance, uncompromised security, limitless scalability, and disaster-proofed availability. It is a freely available, fully compatible, enhanced, and open source drop-in replacement for any MySQL database and includes all the features and bug fixes available in the MySQL 8.1

Open Source 77

Open Source Azure Servers Programming 77

Scalegrid

JANUARY 8, 2024

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. Firstly, let’s take a look at Spotify’s implementation of the multi-cloud approach before exploring Netflix’s adoption of a hybrid cloud architecture.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

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. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

AWS 200

AWS Artificial Intelligence Analytics Cloud 200

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52

KeyCDN

FEBRUARY 22, 2023

The goal of WebAssembly is to execute at native speeds by taking advantage of common hardware features available on a variety of platforms. There are several popular cloud-based platforms for web development and deployment, such as AWS , Azure , and Google Cloud Platform.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Scalegrid

DECEMBER 6, 2023

Self-managed databases come with their own set of expenses that must be factored in – managing a database requires time and effort which often includes backup storage, patching software upgrades as well as other typical administration tasks. Advantages of DBaaS Database management with DBaaS is like being on a luxury cruise.

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. You must bring your laptop to participate.

AWS 52

AWS Energy IoT Best Practices 52

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. The RDS automated backup and PITR capabilities protect against data loss and system failures, ensuring high availability and performance while simplifying backup management for developers and DBAs.

AWS 52

AWS Database Serverless Storage 52

Dynatrace

NOVEMBER 29, 2021

Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. Microservices architecture combines loosely-coupled functions to create high-performing applications.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. However, close to half (~48%) use Microsoft Azure, and close to one-third (~32%) use Google Cloud Platform (GCP).

Cloud 141

Cloud Serverless AWS Architecture 141

Percona

DECEMBER 27, 2022

Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device. Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device. Cluster-level encryption is a security measure that encrypts data stored in a cluster of servers or storage devices. .

Database 92

Database Storage Servers Strategy 92

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. MaaSS for Cloud Architects: Deployment and Architecture Validations. 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). NGINX as an API Gateway. REDIS for caching.

AWS 127

AWS Monitoring Ecommerce Lambda 127

IO River

NOVEMBER 2, 2023

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started ‍Terraform is a revolution in the way we handle infrastructure.

Open Source 52

Open Source DevOps AWS Infrastructure 52

Enprowess

JANUARY 12, 2022

Serverless Architecture. Other benefits: It has other benefits like a Quicker launch to the market, Easier distribution, saving device power and storage, seamless maintenance, and updating. 24*7 Availability : Chatbots are available 24×7 and can respond to your customer’s queries as fast as possible. AI-powered Chatbots.

Blockchain 59

Blockchain IoT Development Serverless 59

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

IO River

NOVEMBER 2, 2023

This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.‍A Whether you're scaling storage solutions like S3 buckets, compute resources like EKS clusters, or content delivery mechanisms via CDNs, Terraform offers a streamlined approach.

Open Source 40

Open Source DevOps AWS Infrastructure 40

Smashing Magazine

JUNE 25, 2020

Today, we’ll address storing and serving files for both single-server and scalable deployments while considering factors like compression, caching, and availability. We’ll also discuss the costs and benefits of CDNs and dedicated file storage solutions. Small projects benefit from simple architecture. Option 1: Default Django.

Media 70

Media Cache Storage AWS 70

Adrian Cockcroft

APRIL 5, 2023

The challenge is that accurate data isn’t available immediately, and cloud providers currently only provide monthly carbon data, with several months lag. At the instance level, many CPU and system architectures have direct access to power consumption metrics.

Energy 52

Energy Metrics Cloud Operating System 52

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. It provides redundancy and data availability for your data. Replication provides redundancy, and having multiple copies of the same data increases data availability. MongoDB is popular with developers as it is easy to get started with.

Database 79

Database Servers Storage Strategy 79

Abhishek Tiwari

NOVEMBER 3, 2018

When it comes to innovation, most of CMS solutions are constrained by their legacy architecture (read strong coupling between content management and content presentation) which makes it difficult to serve content to new types of emerging channels such as apps and devices. Eventually, we decided to move them to Jekyll.

Systems 63

Systems Cache Website Network 63

The Symphonia

JUNE 19, 2018

Some in-depth and unusual client work (want to encrypt a petabyte of S3 storage? I was fortunate to be both presenting a 2-day workshop (on AWS Serverless Architectures and Continuous Deployment) as well as hosting a full-day Serverless track of talks. Unlike the temperature outside. John and I (Mike) have had a fun three months.

Serverless 40

Serverless AWS DevOps Open Source 40

ScaleOut Software

AUGUST 19, 2014

To meet the needs of an elastic application, an IMDG must be designed to transparently scale its throughput by adding virtual servers and then automatically rebalance its in-memory storage to keep the workload evenly distributed. ScaleOut StateServer uses different techniques on EC2 and Azure to make use of available metadata support.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

To meet the needs of an elastic application, an IMDG must be designed to transparently scale its throughput by adding virtual servers and then automatically rebalance its in-memory storage to keep the workload evenly distributed. ScaleOut StateServer uses different techniques on EC2 and Azure to make use of available metadata support.

Cloud 40

Cloud Azure Virtualization Scalability 40