Percona

JULY 24, 2023

PBM) introduced a GA version of incremental physical backups , which can greatly impact both the recovery time and the cost of backup (considering storage and data transfer cost). Feedback is also a contribution Contribution is not only code. In the previous minor release, Percona Backup for MongoDB 2.1.0 (PBM)

Availability 77

Availability Open Source Strategy Storage 77

Percona

JUNE 30, 2023

It simplifies the development and brings more contribution friendliness to the code, resulting in better potential for growing the community. What is better in version 2 compared to version 1? Architecture Operator SDK is now used to build and package the Operator. In version 1.x,

Availability 97

Availability Open Source Azure Hardware 97

Percona

DECEMBER 4, 2023

code base, and includes several bug fixes, including: PXB-3003 : Percona XtraBackup discovering redo logs to parse and the server purging redo logs simultaneously could cause a race condition. Percona XtraBackup 8.0.35-30 30 Percona XtraBackup 8.0.35-30 30 was released on December 4, 2023. This release merges the MySQL 8.0.35

Open Source 83

Open Source Azure Servers Programming 83

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 161

Virtualization Infrastructure Monitoring Cloud 161

Particular Software

JUNE 20, 2022

Because Cosmos DB charges for each storage operation, there is increased cost associated with checking for and obtaining the lock before a message is processed. If you’re currently using Azure Table Storage in your system, check out how to migrate from Azure Table storage to Cosmos DB.

Azure 52

Azure Storage Strategy Tuning 52

Abhishek Tiwari

JULY 22, 2023

Pre-deployment policy compliance, supported by policy as code frameworks such as Sentinel, Open Policy Agent (OPA), Conftest, etc. 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.

AWS 52

AWS Best Practices Infrastructure Traffic 52

Dynatrace

SEPTEMBER 17, 2019

End-to-end code-level tracing. PostgreSQL & Elastic for data storage. Dynatrace’s PurePath technology brings us automatic end-to-end code level tracing without having to modify any code or configuration. MaaS for Developers: Understand and optimize your code. Full-stack observability. Service mash insights.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. For re:Invent 2021 my team (but mostly Elise Greve) persuaded the re:Invent organizers to include Sustainability as a track code, and that was repeated for 2022 and now for 2023.

AWS 52

AWS Energy IoT Best Practices 52

ScaleOut Software

JANUARY 9, 2020

This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores. In addition, the platform provides fast, in-memory data storage so that the application easily can keep track of both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

Particular Software

MAY 28, 2018

Maybe you like Linux or have a MacBook, Or want to host code without breaking your checkbook. You can develop your code on a Mac and deploy on your favorite flavor of Linux. Low-level code in the.NET Framework that was previously considered good enough is now being optimized both by Microsoft and community contributions.

Azure 49

Azure Open Source DevOps Storage 49

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. Unlike manual or automatic log queries, in-memory computing can continuously run analytics code on all incoming data and instantly find issues.

IoT 78

IoT Analytics Big Data Architecture 78

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

Testsigma

JULY 31, 2021

If you can manage infrastructure costs that include devices, machines, storage, etc., This means they should not have to learn to code and upskill themselves to use automated testing software. Do note that most platform-agnostic tools will also let you reuse your code within various projects. you can go for traditional software.

Mobile 52

Mobile Software Software Testing 52

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

Dynatrace

JANUARY 31, 2024

OpenPipeline high-performance filtering and preprocessing provides full ingest and storage control for the Dynatrace platform. Such transformations can reduce storage costs by 99%. Of course, configuration-as-code using an application programming interface (API) is also available.

Analytics 194

Analytics Processing Transportation Storage 194

Dynatrace

NOVEMBER 3, 2022

Because container as a service doesn’t rely on a single code language or code stack, it’s platform agnostic. The emergence of Docker and other container services enabled companies to transport code quickly and easily. IaaS provides direct access to compute resources such as servers, storage, and networks.

Serverless 218

Serverless Azure Hardware Transportation 218

Dynatrace

AUGUST 11, 2022

Function as a service is a cloud computing model that runs code in small modular pieces, or microservices. 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. What is FaaS? How does function as a service work?

Development 250

Development Serverless Best Practices Lambda 250

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. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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. Large preview ). Conclusion.

AWS 44

AWS Servers Storage Cloud 44

Dynatrace

APRIL 19, 2023

Log4j is a ubiquitous software code in various consumer-facing products and services. ” This data is excluded from storage, but teams can still gain value from data enrichment beforehand. ” This data is excluded from storage, but teams can still gain value from data enrichment beforehand. Encryption.

Design 191

Design Storage Programming Analytics 191

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 256

Monitoring Azure AWS Traffic 256

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

Sutter's Mill

APRIL 30, 2012

From Soma’s announcement, adding my own emphasis and minor code edits: Historically, we’ve lacked such simple tools for developers using C++. They don’t compose particularly well with code based on the standard C++ libraries, and they don’t take advantage of modern C++ language features and practices in their programming models.

C++ 43

C++ Azure Programming Cloud 43

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

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. Field personnel with mobile devices can send these messages over the Internet to the cloud service.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. Field personnel with mobile devices can send these messages over the Internet to the cloud service.

Logistics 52

Logistics Analytics Scalability Cloud 52

The Symphonia

JUNE 19, 2018

Some in-depth and unusual client work (want to encrypt a petabyte of S3 storage? Donna Malayeri gave a wonderful talk at a Serverless conference in New York last year, showing a sequence of surprising capabilities of Microsoft Azure. Unlike the temperature outside. John and I (Mike) have had a fun three months. Great stuff!

Serverless 40

Serverless AWS DevOps Open Source 40

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

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Unlike data warehouses, however, data is not transformed before landing in storage. A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Data management.

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

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

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises.

Analytics 240

Analytics Infrastructure AWS Operating System 240

Scalegrid

SEPTEMBER 16, 2019

Procedural language debugger helps you to debug your code. Provides advanced security for your databases by storing passwords in secured storage protected by a master password. It can detect bugs in your code immediately and suggest the best options to fix them as well. pgAdmin uses too many resources.

Open Source 262

Open Source Database Azure Cloud 262

Percona

FEBRUARY 24, 2023

These color-coded states on panels are available in PMM 2.32.0 From AWS documentation , Amazon EBS is an easy-to-use, scalable, high-performance block-storage service designed for Amazon EC2. Figure 2: Amazon Elastic Block Storage Running relational or NoSQL databases is one of the use cases where EBS is recommended for.

Cloud 122

Cloud Serverless AWS Storage 122

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. Access a wide ecosystem of partners with open-source and cloud-native technologies. OpenShift automation.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

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