Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host. The Kubernetes experience.

Virtualization 160

Virtualization Infrastructure Monitoring Cloud 160

High Scalability

APRIL 16, 2019

Scenario 3 – Network Partition – Network Connectivity Breaks Down Between Master and Slave Nodes. This is a classical problem in any distributed system where each node thinks the other nodes are down, while in reality, only the network communication between the nodes is broken.

Availability 149

Availability Network Azure AWS 149

High Scalability

JUNE 22, 2018

And if you know anyone looking for a simple book that uses lots of pictures and lots of examples to explain the cloud, then please recommend my new book: Explain the Cloud Like I'm 10. using them to respond to storage events on s3 or database events or auth events is super easy and powerful. Do you like this sort of Stuff?

Internet 113

Internet Internet Scalability Artificial Intelligence 113

Abhishek Tiwari

JULY 22, 2023

In this article, we will explore into the significance of pre-deployment policy compliance, explore the role of policy as code frameworks, and showcase real-life examples of successful implementations. For example, OPA can be used to enforce policies related to Kubernetes deployments, API access control, and more.

AWS 52

AWS Best Practices Infrastructure Traffic 52

Scalegrid

JULY 8, 2019

So many default to Amazon RDS, when MySQL performs exceptionally well on Azure Cloud. While Microsoft Azure does offer a managed solution, Azure Database, the solution has some major limitations you should know about before migrating your MySQL deployments. A good example would be slow query analysis.

Azure 219

Azure Cloud Virtualization Database 219

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

ScaleOut Software

JULY 19, 2021

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. The list goes on. The Limitations of Today’s Streaming Analytics. The heavy lifting is deferred to the back office.

IoT 78

IoT Analytics Big Data Architecture 78

Percona

DECEMBER 11, 2023

There are a wealth of options on how you can approach storage configuration in Percona Operator for PostgreSQL , and in this blog post, we review various storage strategies — from basics to more sophisticated use cases. For example, you can choose the public cloud storage type – gp3, io2, etc, or set file system.

Storage 110

Storage Strategy Cloud Azure 110

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. One important choice you will still have to make is what type and size of Azure virtual machine you want to use for your existing SQL Server workload.

Azure 72

Azure Virtualization Servers Storage 72

Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. Storage is a critical aspect to consider when working with cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. The reason lies in the unique advantages that come from utilizing a hybrid cloud.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

AUGUST 11, 2022

Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. Infrastructure as a service (IaaS) handles compute, storage, and network resources. How does function as a service work? But how does FaaS fit in?

Development 247

Development Serverless Best Practices Lambda 247

Sutter's Mill

APRIL 30, 2012

While there are multiple relevant native networking APIs (e.g. As an example, here’s a snippet that uses the client HTTP library to search Bing for my name and output the results to the console: http_client bing( L"[link] ); bing.request( methods::GET, L"? q=S.Somasegar" ).then( listen( []{ fgetc( stdin ); } ).wait();

C++ 43

C++ Azure Programming Cloud 43

Dynatrace

NOVEMBER 3, 2022

Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization. IaaS provides direct access to compute resources such as servers, storage, and networks. In this class of CaaS, cloud providers and hyperscalers offer minimal orchestration. CaaS vs. IaaS.

Serverless 216

Serverless Azure Hardware Transportation 216

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. billion in 2020 to $4.1

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Percona

FEBRUARY 24, 2023

Figure 1: PMM Home Dashboard From the Amazon Web Services (AWS) documentation , an instance is considered over-provisioned when at least one specification of your instance, such as CPU, memory, or network, can be sized down while still meeting the performance requirements of your workload and no specification is under-provisioned.

Cloud 124

Cloud Serverless AWS Storage 124

Scalegrid

MAY 13, 2020

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure. Polymorphic Data Storage. Major Use Cases.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. Dynatrace Kubernetes documentation .

Analytics 237

Analytics Infrastructure AWS Operating System 237

Dynatrace

JUNE 26, 2020

Here is the first batch of 15 public locations for HTTP monitoring: Chicago (Azure) ?, Virginia (Azure), N. California (AWS), San Jose (Azure), Texas (Azure), Ohio (AWS), Toronto (Azure) ?, London (AWS), London (Azure), Frankfurt (AWS) ?, Hong Kong (Azure), Tokyo (Azure), Sao Paulo (AWS).

Monitoring 254

Monitoring Azure AWS Traffic 254

Smashing Magazine

NOVEMBER 8, 2018

In this article, I will describe this latter solution, based on a WordPress application storing files on Amazon Web Services (AWS) Simple Storage Service (S3) (a cloud object storage solution to store and retrieve data), operating through the AWS SDK. Creating The Bucket. Large preview ). Large preview ). Conclusion.

AWS 44

AWS Servers Storage Cloud 44

SQL Performance

JUNE 10, 2020

The relational model and the standard querying language that is based on it are supposed to deal only with the conceptual aspects of the data and leave the physical implementation details like storage, optimization, access and processing of the data to the database platform (the implementation ). Persistency.

C++ 109

C++ Database Servers Code 109

Scalegrid

JULY 29, 2019

Host MySQL on AWS , or MySQL on Azure with configurable instance sizes through the top two cloud providers in the world. We support two different MySQL DBaaS plans on both AWS and Azure. Next, select the VM size, ranging from Micro at 10GB of storage up to X4XLarge at 700GB of storage, and then your MySQL version and storage engine.

Database 166

Database Cloud Website Azure 166

SQL Performance

JUNE 10, 2020

The relational model and the standard querying language that is based on it are supposed to deal only with the conceptual aspects of the data and leave the physical implementation details like storage, optimization, access and processing of the data to the database platform (the implementation ). Persistency.

C++ 93

C++ Database Servers Code 93

Dynatrace

AUGUST 24, 2020

But there are other related components and processes ( for example, cloud provider infrastructure ) that can cause problems in applications running on Kubernetes. Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. .

Analytics 134

Analytics Infrastructure AWS Operating System 134

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. Key metrics here include memory requests, CPU requests, disk utilization, and network throughput. Control plane performance.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

IO River

NOVEMBER 2, 2023

‍Before we dive into what Terraform is, let's begin with a real-world example of how Terraform code looks and works:‍# Challenge requests coming from known Tor exit nodes.‍‍In ‍In the example above, we're using Terraform to set up an access rule on Cloudflare. What is Terraform?‍Before So, What Exactly is Terraform?

Open Source 52

Open Source DevOps AWS Azure 52

Percona

MAY 2, 2023

The speed of backup also depends on allocated IOPS and type of storage since lots of read/writes would be happening during this process. Back up anywhere – to the cloud (use any S3-compatible storage) or on-premise with a locally-mounted remote file system It allows you to choose which compression algorithms to use.

Best Practices 52

Best Practices Database Storage Servers 52

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. For example, MongoDB 5.0 For example, we can use a $regex query on a collection of 10 million documents and use.explain(true) to view how many milliseconds the query takes. Based on this, you can create an index that supports them.

Database 83

Database Servers Storage Strategy 83

IO River

NOVEMBER 2, 2023

Before we dive into what Terraform is, let's begin with a real-world example of how Terraform code looks and works:‍# Challenge requests coming from known Tor exit nodes.‍‍In the example above, we're using Terraform to set up an access rule on Cloudflare. What is Terraform?‍Before One of the primary reasons is the shared workflow.

Open Source 40

Open Source DevOps AWS Azure 40

Abhishek Tiwari

NOVEMBER 3, 2018

Case-in-point, most enterprise CMS vendors lack robust full-site content delivery network (CDN) integration. A few months back, I was pulled into a scenario where a business has been working with a leading CMS vendor to roll-out a network of multi-regional websites.

Systems 63

Systems Cache Website Network 63

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. network engineer, at >2%) and management positions (IT manager, at close to 3%; operations manager at >1%). Role of survey respondents.

Cloud 141

Cloud Serverless AWS Architecture 141

The Morning Paper

FEBRUARY 20, 2020

… based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data. statement adds the source code for the model pipeline (Python in the example) to the database. An INSERT INTO model.

Processing 72

Processing Hardware Database Azure 72

SQL Server According to Bob

MAY 19, 2019

SQL Server will ship Azure SQL Database Edge: [link]. For example, Azure SQL Database Edge can already use TSQL Predict Machine Learning (ML) and Column Storage. ‘ For example, going as far back as SQL Server 7.0 Let’s use the Sub/Super Latch as an example. Networking Pump Threads.

IoT 61

IoT Servers Development Cache 61

Smashing Magazine

JUNE 25, 2020

We’ll also discuss the costs and benefits of CDNs and dedicated file storage solutions. Imagine a professional networking site with a database of users. Here’s a short example model of that information: from django.db First, you’ll need to install the libraries boto3 and django-storages. Media Files.

Media 69

Media Cache Storage AWS 69

Enprowess

JANUARY 12, 2022

Examples of SPAs. Other benefits: It has other benefits like a Quicker launch to the market, Easier distribution, saving device power and storage, seamless maintenance, and updating. Famous PWA Use Examples. Here are a few examples of famous businesses that used PWA’s latest web development technology and increased revenue.

Blockchain 59

Blockchain IoT Development Serverless 59

SQL Performance

JANUARY 22, 2020

To demonstrate the potential performance impacts of incorrectly typed table-valued parameters with SQL Server, we are going to create an example user-defined table type with the following structure: CREATE TYPE dbo. PharmacyData AS TABLE. ( How does this impact performance you may wonder?

Servers 55

Servers Azure Hardware Network 55