Percona

APRIL 12, 2023

They came up with a horizontally scalable NoSQL database. Instead of relational (SQL) databases defined primarily through a hierarchy of related sets via tables and columns, their non-relational structure used a system of collections and documents. 2016: The company adds service-loaded MongoDB Professional to its mix.

Open Source 79

Open Source Programming Database Servers 79

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. Migrate databases intelligently. But what does it take to migrate your existing applications to the cloud?

Cloud 165

Cloud Traffic Best Practices Strategy 165

Dynatrace

APRIL 5, 2021

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure 137

Azure Serverless IoT Lambda 137

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. The management console installs as a set of Docker containers on the management server.

IoT 52

IoT Azure Analytics Healthcare 52

Dynatrace

NOVEMBER 23, 2020

As an application developer, you want to instrument your code to understand how your services communicate with each other and where bottlenecks cause performance degradations. 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.

Virtualization 160

Virtualization Infrastructure Monitoring Cloud 160

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

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. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS.

AWS 52

AWS Database Serverless Storage 52

Scalegrid

MAY 2, 2019

It comes as no surprise that Python developers commonly leverage MongoDB hosting , the most popular NoSQL database , for their deployments due to its flexible nature and lack of schema requirements. It is also recommended that SSL connections be enabled to encrypt the client-database traffic. Testing Failover Behavior.

Testing 55

Testing Network Database Servers 55

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. Services scale to meet demand. Pay Per Use.

Serverless 243

Serverless Efficiency Lambda Azure 243

Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. Easy and effortless FaaS insights with a single line of code. Dynatrace news.

Serverless 187

Serverless Azure Lambda AWS 187

Scalegrid

MARCH 14, 2024

Effective hybrid cloud management requires robust tools and techniques for centralized administration, policy enforcement, cost management, and modern infrastructure practices like Infrastructure-as-Code (IaC) and containers. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

OCTOBER 7, 2019

As this open source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. PostgreSQL popularity is skyrocketing in the enterprise space.

Strategy 182

Strategy Cloud Java Open Source 182

Dynatrace

FEBRUARY 12, 2024

Observability-driven development Yarden Laifenfeld, senior software engineer at Dynatrace, presented the first use case for the software development lifecycle (SDLC): observability-driven development, which is the process of integrating observability and security before the first line of code is even written.

Engineering 181

Engineering Development Infrastructure Cloud 181

Dynatrace

MAY 17, 2023

However, this method limited us to instrumenting the code manually and collecting specific sets of data we defined upfront. It is available for the major OS and cloud platforms (for example, Windows, Linux, Solaris, AWS, Azure, and more) and only requires the deployment of a single service to monitor its environment.

Metrics 171

Metrics Database Monitoring Network 171

Percona

FEBRUARY 24, 2023

In the Home Dashboard of PMM, a low CPU utilization on any of the database services that are being monitored could mean that the server is inactive or over-provisioned. These color-coded states on panels are available in PMM 2.32.0 Marked in red in Figure 1 is a server with less than 30% of CPU usage.

Cloud 117

Cloud Serverless AWS Storage 117

Dynatrace

JUNE 29, 2022

Five available hybrid cloud platforms from the top public cloud providers include the following: Azure Stack : Consumers can access different Azure cloud services from their own data center and build applications for Azure cloud. Teams can then deploy these applications on Microsoft cloud infrastructure or on-premises.

Infrastructure 181

Infrastructure Cloud Azure AWS 181

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. GCF also enables teams to run custom-written code to connect multiple services in Node, Python, Go, Java,NET, Ruby, and PHP.

Google 221

Google Cloud Serverless Azure 221

Dynatrace

DECEMBER 2, 2021

Impact : This issue affects only those extensions that use native libraries called from Python code distributed with the extension. Settings > Anomaly detection > Database services. Azure VMs that are monitoring candidates are now labeled “no OneAgent” on the Azure region and scale set pages.

Lambda 193

Lambda Azure Metrics Monitoring 193

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 Background‍The idea of managing infrastructure through code wasn't initiated by HashiCorp. ‍Why Manage Infrastructure by Code?‍‍If

Open Source 52

Open Source DevOps AWS Azure 52

Dynatrace

JULY 7, 2022

One large team generally maintains the source code in a centralized repository that’s visible to all engineers, who commit their code in a single build. These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. Common problems with monolithic architecture.

Architecture 199

Architecture Serverless Azure Programming 199

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. This rule challenges requests coming from known Tor exit nodes.

Open Source 40

Open Source DevOps AWS Azure 40

O'Reilly

FEBRUARY 18, 2020

Starting with data engineering, the backbone of all data work (the category includes titles covering data management, i.e., relational databases, Spark, Hadoop, SQL, NoSQL, etc.). relational database,” “Oracle database solutions,” “Hive,” “database administration,” “data models,” “Spark”—declined in usage, year-over-year, in 2019.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Microservices. Traditional architecture vs. native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dotcom-Montior

OCTOBER 19, 2021

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., It also extremely fast since it is a compiled language, meaning that the code written is converted automatically into machine code immediately. so they are going to see more tools in that toolbelt.

Engineering 86

Engineering Open Source Programming Monitoring 86

O'Reilly

OCTOBER 19, 2021

If you peek under the hood of an ML-powered application, these days you will often find a repository of Python code. Let’s start by considering the job of a non-ML software engineer: writing traditional software deals with well-defined, narrowly-scoped inputs, which the engineer can exhaustively and cleanly model in the code.

DevOps 138

DevOps Software Engineering Open Source Infrastructure 138

Smashing Magazine

SEPTEMBER 3, 2019

Automation improves the quality of our work, since we can avoid having to manually execute mind-numbing tasks again and again, which will enable us to use all our time for coding, and reassures us that the deployment will not fail due to human errors (such as overriding the wrong folder as in the old FTP days). Large preview ).

Website 82

Website Serverless AWS Lambda 82

Dotcom-Montior

FEBRUARY 19, 2022

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., It also extremely fast since it is a compiled language, meaning that the code written is converted automatically into machine code immediately. so they are going to see more tools in that toolbelt.

Engineering 52

Engineering Open Source Programming Monitoring 52

ScaleOut Software

MAY 19, 2020

Borrowed from its use in the field of product life-cycle management, real-time digital twins host application code that analyzes incoming telemetry (event messages) from each individual data source and maintains dynamically evolving information about the data source.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Borrowed from its use in the field of product life-cycle management, real-time digital twins host application code that analyzes incoming telemetry (event messages) from each individual data source and maintains dynamically evolving information about the data source.

Logistics 52

Logistics IoT Analytics Azure 52

KeyCDN

FEBRUARY 22, 2023

Developers can easily share and access code and other resources regardless of their location. 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

O'Reilly

NOVEMBER 28, 2023

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more. But they may back off on AI development.

Open Source 107

Open Source Artificial Intelligence Google Infrastructure 107

Scalegrid

JUNE 11, 2019

Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Polyglot Persistence Trends : Number of Databases Used & Top Combinations.

Open Source 55

Open Source Database Cloud Infrastructure 55

KeyCDN

MARCH 14, 2019

Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services. TensorFlow is an excellent tool for making your own machine learning models using just JavaScript, but you can also use services like AWS Rekognition to add image recognition capabilities to your projects with relative ease.

Development 101

Development Blockchain Serverless Social Media 101

Dynatrace

JUNE 1, 2021

Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Smashing Magazine

JUNE 25, 2020

It’s not just source code for the configuration, models, views, and templates, but also static assets: CSS and JavaScript, images, icons. Part 3 : Models, Admin, And Harnessing The Relational Database. The three types of files in a live Django application are: Source Code. Philip Kiely. 2020-06-25T12:30:00+00:00. Definitions.

Media 69

Media Cache Storage AWS 69