Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Ensuring compliance with regulatory standards and best practices also poses a significant obstacle for workload management in the realm of cloud computing platforms.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JULY 7, 2022

Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. Additionally, typical SOA models use larger relational databases. Tips for migrating from monolithic to microservices architecture.

Architecture 203

Architecture Serverless Azure Programming 203

Dynatrace

SEPTEMBER 30, 2021

Cloud services platforms like AWS, Azure, and GCP are reshaping how organizations deliver value to their customers, making cloud migration an increasingly attractive option for running applications. We’ll answer that question and explore cloud migration benefits and best practices for how to go through your migration smoothly.

Cloud 167

Cloud Traffic Best Practices Strategy 167

Dynatrace

JANUARY 13, 2021

Dynatrace’s OneAgent automatically captures PurePaths and analyzes transactions end-to-end across every tier of your application technology stack with no code changes, from the browser all the way down to the code and database level. For instance, Zurich Insurance Company, applied this approach through Azure DevOps.

Open Source 140

Open Source Code Monitoring Azure 140

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 speaker: T.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

JANUARY 5, 2022

With another click, Dynatrace shows us the full distributed trace (=Dynatrace PurePath) making it easy to identify why a request was slow or failing and which backend services or databases were involved: The Distributed Traces view in Dynatrace makes it easy to find the captured PurePath for a specific trace context.

Testing 220

Testing Open Source Metrics Infrastructure 220

Dynatrace

MAY 28, 2020

If you have a distributed environment with multiple servers hosting your webservers, app servers, and database, I suggest you install the OneAgent on all these servers to get full end-to-end visibility. Kubernetes, OpenShift, Cloud Foundry or Azure Web Apps then install the OneAgent by following the OneAgent PaaS installation options.

Engineering 193

Engineering Performance Metrics Best Practices 193

SQL Performance

JUNE 21, 2019

This article will expand on my previous article and point out how these apply to SQL Server , Azure SQL Database , and Azure SQL Managed Instance. When looking at backups, I check for recovery model and the current history of backups for each database. Azure SQL Database and Azure Managed Instance have managed backups.

Servers 49

Servers Azure Hardware Database 49

SQL Server According to Bob

FEBRUARY 15, 2018

Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. SELECT * FROM Azure Cosmos DB – Andrew Liu.

Engineering 40

Engineering Azure Best Practices Servers 40

Dynatrace

NOVEMBER 23, 2020

When using managed environments like Google Kubernetes Engine (GKE) , Amazon Elastic Kubernetes (EKS) , or Azure Kubernetes Service it’s easy to spin up a new cluster. Traces represent causally related distributed events on a distributed system, showing, for example, how a request flows from the user to the database.

Virtualization 161

Virtualization Infrastructure Monitoring Cloud 161

Particular Software

MAY 8, 2023

However, distributed systems are inherently complex and consist of many components: message brokers, databases, distributed caches, integration points, REST APIs, front-ends, and more. The flow in this article is just a simple example to illustrate the point…and an opportunity to remind you of this best practice at the same time.

Systems 52

Systems C++ Azure Metrics 52

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

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. First released in 2009, it is the most used NoSQL database and has been downloaded more than 325 million times. The bigger the database, the bigger the damage from a leak. This can leave your database instances exposed and vulnerable.

Database 78

Database Servers Storage Strategy 78

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 When you codify infrastructure, you can integrate it with DevOps pipelines to automate various tasks like server provisioning, database scale, and security audits.

Open Source 40

Open Source DevOps AWS Azure 40

High Scalability

DECEMBER 3, 2019

By having appropriate indexes on your MySQL tables, you can greatly enhance the performance of SELECT queries. But, did you know that adding indexes to your tables in itself is an expensive operation, and may take a long time to complete depending on the size of your tables?

Best Practices 21

Best Practices Performance Systems Processing 21

Tasktop

JANUARY 9, 2020

Moreover, unique (and unpublished) database schemas per tool require in-depth exploration that steals a lot of precious time from software delivery specialists who should be focusing on their job, not on wading through endless data lakes. Ensuring Tools and Practices are Being Adopted.

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 ). Persistency. Msg 230, Level 14, State 1.

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 ). Persistency. Msg 230, Level 14, State 1.

C++ 93

C++ Database Servers Code 93

SQL Performance

AUGUST 12, 2020

In my examples I’ll use a sample database called TSQLV5. So it could be that the term originated in one of the database products and later adopted by some of the other database vendors. So it could be that the term originated in one of the database products and later adopted by some of the other database vendors.

C++ 140

C++ Code Design Database 140

SQL Server According to Bob

JULY 13, 2016

This is effectively the same as if you had used the full install and picked the features of Database Engine Services and Client Connectivity SDK as the two components to install. In addition, we enable the best practice setting for instant file initialization (equivalent to the setup command line parameter SQLSVCINSTANTFILEINIT). . ·

Servers 40

Servers Media Engineering Virtualization 40

O'Reilly

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Can’t we just fold it into existing DevOps best practices? How can you start applying the stack in practice today?

DevOps 138

DevOps Software Engineering Infrastructure Open Source 138