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

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. Data is then dynamically routed into pipelines for further processing.

Analytics 193

Analytics Processing Transportation Storage 193

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

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

Dynatrace

SEPTEMBER 17, 2019

End-to-end code-level tracing. PostgreSQL & Elastic for data storage. In order to filter these dashboards by tenant all they need is a Dynatrace Management Zone , which is based on meta data extracted by Dynatrace from e.g. k8s tags, container labels or process environment variables. Full-stack observability.

AWS 127

AWS Monitoring Ecommerce Lambda 127

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

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

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

SQL Performance

JUNE 10, 2020

This month and the next I’m going to cover the physical processing aspects of derived tables. In my coverage of the physical treatment of named table expressions in the series I focus on the treatment in Microsoft SQL Server and Azure SQL Database. And if so, is there a way to instruct SQL Server to avoid this unnesting process?

C++ 109

C++ Database Servers Code 109

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

Dynatrace

NOVEMBER 3, 2022

With the significant growth of container management software and services, enterprises need to find ways to simplify the process. CaaS automates the processes of hosting, deploying, and managing container technologies. The emergence of Docker and other container services enabled companies to transport code quickly and easily.

Serverless 217

Serverless Azure Hardware Transportation 217

SQL Performance

JUNE 10, 2020

This month and the next I’m going to cover the physical processing aspects of derived tables. In my coverage of the physical treatment of named table expressions in the series I focus on the treatment in Microsoft SQL Server and Azure SQL Database. And if so, is there a way to instruct SQL Server to avoid this unnesting process?

C++ 93

C++ Database Servers Code 93

Smashing Magazine

NOVEMBER 8, 2018

When providing some functionality for processing a file uploaded by the user, the file must be available to the process throughout the execution. The region must be the same one as where our application is deployed, so that accessing S3 during the process execution is fast. Sharing Data Among Multiple Servers Through AWS S3.

AWS 44

AWS Servers Storage Cloud 44

Dynatrace

APRIL 19, 2023

Log4j is a ubiquitous software code in various consumer-facing products and services. Owning data and creating data privacy by design Ferguson and Plank focused on two key messages as they discussed data security: Organizations always choose and control the data they process with Dynatrace. Why perform exclusion at two points?

Design 191

Design Storage Programming Analytics 191

Particular Software

JULY 12, 2021

In your back-end system, you might benefit from event-driven architecture, automatic message retries, and orchestration of long-running business processes. Ideally, a message receiver could process an incoming message without requiring any specific header. But we can’t expect Ruby code to set that header.

Processing 52

Processing Transportation Azure C++ 52

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

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

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. However, organizations must structure and store data inputs in a specific format to enable extract, transform, and load processes, and efficiently query this data. Massively parallel processing. Query language.

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

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

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. … 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. An INSERT INTO model.

Processing 72

Processing Hardware Database Azure 72

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

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

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. Enhances DevOps productivity. OpenShift automation.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Percona

FEBRUARY 24, 2023

Usage reduction is a continuous process. 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. Don’t pay for capacity you don’t use or need.

Cloud 120

Cloud Serverless AWS Storage 120

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. Logs can include data about user inputs, system processes, and hardware states. However, the process of log analysis can become complicated without the proper tools.

Analytics 208

Analytics Monitoring Artificial Intelligence DevOps 208

Dynatrace

AUGUST 21, 2023

OpenTelemetry works by providing developers with APIs, SDKs, and tools to instrument their code and collect telemetry data such as logs, metrics, and traces. The collector processes the data and exports it to a predetermined monitoring, tracing, or logging back end, such as Dynatrace, for analysis. Find GraphQL now on Dynatrace Hub.)

Open Source 195

Open Source Analytics Lambda Metrics 195

Scalegrid

OCTOBER 7, 2019

This leaves our last cloud provider – Microsoft Azure, who represented 3.2% This is one of the most shocking discoveries, as Azure was tied for second with GCP back in April, and is commonly a popular choice for enterprise organizations leveraging the Microsoft suite of services. of PostgreSQL hosting. On average, 21.7%

Strategy 182

Strategy Cloud Java Open Source 182

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

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

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights , includin g: . But there are other related components and processes ( for example, cloud provider infrastructure ) that can cause problems in applications running on Kubernetes.

Analytics 135

Analytics Infrastructure AWS Operating System 135

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

SQL Server According to Bob

DECEMBER 18, 2018

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Before all was said and done, all of these people and more helped with various activities: · Eugene, Mike, Slava, Scott, Peter, Steve and others doing code reviews on my SQL Server and Host Extension changes. ·

Servers 90

Servers Media Cache Storage 90

Percona

DECEMBER 27, 2022

With transparent data encryption (TDE), the encryption process is transparent to the user, allowing them to access and manipulate the data as usual without worrying about the encryption and decryption process. Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device. Column-Level.

Database 93

Database Storage Servers Strategy 93