Scalegrid

DECEMBER 16, 2019

While you may assume a great majority of the cloud database deployments are run on AWS, Azure, or Google Cloud Platform, small to medium-sized businesses in particular are gravitating towards the developer-friendly cloud provider, DigitalOcean , for their hosting for MongoDB® needs. DigitalOcean Advantages for MongoDB. DigitalOcean Droplets.

Azure 187

Azure AWS Latency Database 187

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. This session revisits the pillar and its best practices.

AWS 52

AWS Energy IoT Best Practices 52

Abhishek Tiwari

JULY 22, 2023

These policies encompass a wide range of concerns, including security best practices, data protection measures, industry regulations, privacy laws, accessibility requirements, and internal organizational policies. To enforce best practices and security measures, they implement OPA as an admission controller for Kubernetes.

AWS 52

AWS Best Practices Infrastructure Traffic 52

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 162

Virtualization Infrastructure Monitoring Cloud 162

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 Azure 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 Azure 40

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. It is best practice to have an odd number of replica set members to maintain voting quorum. Indexing can help to speed up read queries, but it comes with an extra cost of storage, and they will slow down write operations.

Database 78

Database Servers Storage Strategy 78

O'Reilly

NOVEMBER 12, 2019

Serverless presents a conceptually simpler path to deploying software for those in development roles with no need to manage servers and storage. customers who already like and use Azure or Google Cloud Platform are likely to find the same advantages hold with Azure Functions and Google Cloud Functions. 1 in tools used.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

Tasktop

JANUARY 9, 2020

Given that most large-scale organizations use at least three main tools in their software delivery toolchains (for development, testing and support), the cost of data extraction and storage begins to stack up and fast. Furthermore, many SaaS vendors purge data periodically to save on storage, limiting your access to historical data.

Software 59

Software Software Metrics Database 59

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 ).

C++ 109

C++ Database Servers Code 109

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 ).

C++ 93

C++ Database Servers Code 93