Dynatrace

MARCH 24, 2023

Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. How does container orchestration work? And organizations use Kubernetes to run on an increasing array of workloads.

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. Data Models. Graph Data Models.

Design 334

Design Media Storage Logistics 334

Dynatrace

JUNE 7, 2023

Container orchestration allows an organization to digitally transform at a rapid clip without getting bogged down by slow, siloed development, difficult scaling, and high costs associated with optimizing application infrastructure. This flexibility helps organizations avoid vendor lock-in. Networking.

Open Source 206

Open Source Social Media Infrastructure Operating System 206

DZone

APRIL 26, 2019

In the era of Digital Transformation (DX) the IT landscape has expanded to environments that rely extensively on virtualization, hyper-converged infrastructure (HCI), and cloud computing. As a result, the number of servers and the quantity of traffic have been exploding exponentially.

Azure 145

Azure Traffic Virtualization Performance 145

Scalegrid

JANUARY 8, 2024

AI-driven cloud solutions like ScaleGrid offer a diverse range of database hosting options, robust infrastructure optimized for scalability and security, and enable significant cost reductions, supporting businesses in efficient growth and improved ROI.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time.

AWS 246

AWS Efficiency Azure Cloud 246

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

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

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. You must bring your laptop to participate.

AWS 52

AWS Energy IoT Best Practices 52

Tasktop

JANUARY 9, 2020

Turning software delivery data into IT and business intelligence is nothing new; it’s the 21st-century gold rush. There’s a reason that the data integration market is expected to be worth $12.24 Data is the currency of business. . billion by 2022 and growing at a respectable 13.7% Challenge 2: DBA Reliance.

Software 59

Software Software Metrics Database 59

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 maintain security and compliance across their infrastructure code, they integrate Checkov into their CI/CD pipeline.

AWS 52

AWS Best Practices Infrastructure Traffic 52

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JULY 19, 2021

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. To address these challenges and countless others like them, we need autonomous, deep introspection on incoming data as it arrives and immediate responses.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

NOVEMBER 11, 2022

More organizations are adopting a hybrid IT environment, with data center and virtualized components. However, today’s IT teams are stretched thin, with little time to firefight issues with deployment, integration, and data center management. That’s where hyperconverged infrastructure, or HCI, comes in.

Infrastructure 200

Infrastructure Storage Virtualization Network 200

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. What is a data lakehouse? How does a data lakehouse work?

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

High Scalability

APRIL 16, 2019

This scenario is more commonly known as split-brain scenario, and if not handled properly, can lead to more than one node claiming to be a master MySQL which in turn leads to data inconsistencies and corruption. Let’s use an example to review how our framework deals with split-brain scenarios in the cluster.

Availability 149

Availability Network Azure AWS 149

Scalegrid

MARCH 14, 2024

Key Takeaways A hybrid cloud platform combines private and public cloud providers with on-premises infrastructure to create a flexible, secure, cost-effective IT environment that supports scalability, innovation, and rapid market response. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

MAY 13, 2020

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Scalegrid

JANUARY 8, 2024

Both multi-cloud and hybrid cloud models come with their advantages, like increased flexibility and secure, scalable IT infrastructure but face challenges such as management complexity and integration issues. What is Multi-Cloud? In a multi-cloud setting, enterprises utilize multiple cloud vendors to fulfill various business functions.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Tasktop

MARCH 16, 2021

What if we could provide them with everything they need to practice data-driven value stream management (VSM) to measure and analyze the flow of customer value across their software portfolio? . Data Analyst : Performs analysis of data from the various tools, transforming and aligning them to generate value stream metrics.

Metrics 52

Metrics Healthcare Automotive Innovation 52

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. Generative AI brings data quality risks But generative AI also brings risks in terms of data quality. What is predictive AI?

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

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. ConvergDB is designed to create and manage Serverless data lakes with a DevOps friendly workflow.

Serverless 40

Serverless AWS DevOps Open Source 40

Particular Software

DECEMBER 7, 2020

For data storage alone, Azure offers: Table Storage, CosmosDB, SQL Server, Blob Storage, and more. With the latest release of Azure Table Persistence for NServiceBus, we offer full transactionality across Outbox, Synchronized Storage Session as well as Sagas. No more worrying about consistency.

Azure 52

Azure Storage Speed Cloud 52

Tasktop

MARCH 16, 2021

What if we could provide them with everything they need to practice data-driven value stream management (VSM) to measure and analyze the flow of customer value across their software portfolio? . Data Analyst : Performs analysis of data from the various tools, transforming and aligning them to generate value stream metrics.

Metrics 40

Metrics Healthcare Automotive Innovation 40

Dynatrace

APRIL 21, 2022

end-of-support for RUM data. for Dynatrace SaaS RUM data. end-of-support for RUM data. Log data acquisition. Log data analysis. Log data alerting. Configuration API for AWS and Azure supporting services. See SQL data source. See what’s new in the Dynatrace version 1.239. Announcements.

Azure 216

Azure Metrics AWS Monitoring 216

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. Traditional self-managed ones give organizations full control over their database infrastructure, such as picking the software and scaling it up.

Database 130

Database Cloud Hardware Storage 130

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. Logs represent event data in plain-text, structured or binary format. Traces help find the flow of a request through a distributed system.

Analytics 240

Analytics Infrastructure AWS Operating System 240

Percona

FEBRUARY 24, 2023

PMM can also show you historical data that can help you identify how long a service has been in a given state. Over-provisioned instances may lead to unnecessary infrastructure costs. From AWS documentation , Amazon EBS is an easy-to-use, scalable, high-performance block-storage service designed for Amazon EC2.

Cloud 124

Cloud Serverless AWS Storage 124

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. In fact, the global log management market is expected to grow from 1.9 billion in 2020 to $4.1

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

Dynatrace

JULY 31, 2020

Cloud-based solutions typically aren’t a viable option or enterprises that have strict security or privacy policies that require their data to be maintained on-premise. Some time ago we released a quick-start template for deploying Managed clusters on AWS infrastructure and Microsoft Azure is supported as well.

Cloud 209

Cloud Availability Azure Google 209

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Overall, these functions excel in scenarios where data enrichment and logic application are paramount.

Google 221

Google Cloud Serverless Azure 221

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

JANUARY 20, 2022

end-of-support for RUM data. for Dynatrace SaaS RUM data. end-of-support for RUM data. Azure supporting services (Synapse Analytics). RUM linking timeouts adjusted in transaction storage. (APM-341299). Dynatrace SaaS release notes version 1.233. Announcements. Starting with April 2022, Dynatrace is retiring TLS 1.0

Lambda 180

Lambda AWS Metrics Azure 180

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights , includin g: . Logs represent event data in plain-text, structured or binary format . This type of data can be extended by adding additional meta-information, like real user experience data and topology details. .

Analytics 135

Analytics Infrastructure AWS Operating System 135

Dynatrace

AUGUST 21, 2023

OpenTelemetry provides a standard way to instrument and collect telemetry data so you can get normalized data from different monitoring solutions. This uniform approach to collecting data helps you make sense of these different viewpoints so you can tell just what happened and what to do about it.

Open Source 196

Open Source Analytics Lambda Metrics 196