Dynatrace

JULY 31, 2020

While to-date it’s been possible to integrate Dynatrace Managed for intelligent monitoring of services running on AWS and Azure, today we’re excited to announce the release of our Dynatrace Managed marketplace listing for the Google Cloud Platform. For more details, see Dynatrace Managed hardware and systems requirements.

Cloud 264

Cloud Availability Azure Google 264

Dynatrace

JANUARY 16, 2023

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes moved to the cloud in 2022.

Open Source 358

Open Source Java Operating System Programming 358

Dynatrace

AUGUST 11, 2022

Cloud providers then manage physical hardware, virtual machines, and web server software management. This enables teams to quickly develop and test key functions without the headaches typically associated with in-house infrastructure management. Infrastructure as a service (IaaS) handles compute, storage, and network resources.

Development 279

Development Serverless Best Practices Lambda 279

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. Monolithic applications earned their name because their structure is a single running application, which often shares the same physical infrastructure. Let’s break it down.

Cloud 246

Cloud Serverless Hardware Operating System 246

Scalegrid

JUNE 11, 2019

Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud. Cloud Infrastructure Breakdown by Database. So, which cloud infrastructure is right for you? 2019 Top Databases Used.

Open Source 55

Open Source Database Cloud Infrastructure 55

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 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. Metrics can originate from a variety of sources, including infrastructure, hosts, services, cloud platforms, and external sources.

Metrics 363

Metrics Open Source Monitoring Cloud 363

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. Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services.

Cloud 241

Cloud Traffic Best Practices Strategy 241

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. This is essential for operators to understand the health and behavior of the container infrastructure as well as the applications running in it.

Open Source 334

Open Source DevOps Traffic Cloud 334

Dynatrace

APRIL 15, 2022

As organizations expand their cloud footprints, they are combining public, private, and on-premises infrastructures. But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. Dynatrace news. As a result, VA had to rapidly scale its on-premises Citrix environment.

Cloud 245

Cloud Infrastructure Innovation Monitoring 245

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. One important choice you will still have to make is what type and size of Azure virtual machine you want to use for your existing SQL Server workload.

Azure 72

Azure Virtualization Servers Storage 72

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. What are some key characteristics of securing cloud applications?

Cloud 245

Cloud Open Source Architecture Monitoring 245

O'Reilly

MARCH 11, 2025

These smaller distilled models can run on off-the-shelf hardware without expensive GPUs. Spending a little money on high-end hardware will bring response times down to the point where building and hosting custom models becomes a realistic option. What about computing infrastructure?

Artificial Intelligence 63

Artificial Intelligence Infrastructure Government Open Source 63

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Amazon S3 and Microsoft Azure Blob Storage leverage distributed storage solutions.

Storage 130

Storage Systems Big Data Azure 130

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus. In Azure, most catastrophic issues happen within 1 hour after the rollout.

Infrastructure 68

Infrastructure Analytics Cloud Hardware 68

Scalegrid

DECEMBER 6, 2023

Traditional self-managed ones give organizations full control over their database infrastructure, such as picking the software and scaling it up. Thereby streamlining their database infrastructure without any major complications or stress accompanying doing the same effectively resulting in fewer worries when setting out sail onboard!

Database 130

Database Cloud Hardware Storage 130

KeyCDN

FEBRUARY 22, 2023

The goal of WebAssembly is to execute at native speeds by taking advantage of common hardware features available on a variety of platforms. With cloud-based infrastructure, organizations can easily scale their web applications to handle increased traffic or demand without the need for expensive hardware upgrades.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Percona

FEBRUARY 24, 2023

Over-provisioned instances may lead to unnecessary infrastructure costs. PostgreSQL in the cloud CPU Considering AWS as your cloud platform of choice, the configuration made for your infrastructure will influence the performance of your application and monthly costs. become the responsibility of AWS, GCP, or Azure.

Cloud 133

Cloud Serverless AWS Storage 133

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. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. But what do these entail? What is Multi-Cloud?

Cloud 147

Cloud Strategy Scalability Artificial Intelligence 147

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. of users) report that “infrastructure issues” are an issue. We’ll say more about this later.) of nonusers, 5.4%

Open Source 137

Open Source Google Artificial Intelligence Infrastructure 137

cdemi

FEBRUARY 20, 2017

Let's talk about the elephant in the room; Serverless doesn't really mean that there are no Software or Hardware servers. Rapid Development - You can quickly deploy a function without having to worry about infrastructure resources and growth. Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another.

Serverless 64

Serverless Architecture Lambda Azure 64

The Morning Paper

MARCH 8, 2020

This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) Customer data is persisted in S3 (or the equivalent services when running on Azure or GCP), and compute is handled in EC2 instances.

Storage 112

Storage Engineering Cache Serverless 112

ACM Sigarch

OCTOBER 10, 2022

Otherwise, there is a risk of repeating many of the mistakes from classical computers where, for many years, security at the hardware and architecture levels was an afterthought. With cloud-based access, anybody, including malicious users, can run their code on the real quantum computer hardware.

Architecture 72

Architecture Hardware Programming Cloud 72

Testsigma

MAY 19, 2021

DevOps is not a single system, rather it is a combination of many processes – testing, deployment, production, etc – thus, it’s better termed as a ‘distributed infrastructure’. Cloud-based solutions are extremely cheap when compared to building and maintaining a DevOps infrastructure on-premise. Source: FileFlex.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. The primary challenge being not able to access the underlying infrastructure metrics. Scalability. Organizations must decide what they’re willing to part with when moving to a serverless environment. Monitoring.

Serverless 57

Serverless Monitoring Lambda Latency 57

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. In this blog, we will answer all of these important questions and provide a general overview comparing the two database services, Aurora vs RDS. Want to learn more? Contact us today.

AWS 52

AWS Database Serverless Storage 52

SQL Server According to Bob

DECEMBER 18, 2018

This effort resulted in: · Changes to the SQL Server Engine · Changes to the SQL Server Linux Host Extension · Validation with the Windows Storage team · Validation with Windows Hyper-V team · Validation with Windows Azure Storage team · Conversations with Red Hat, HP, SUSE and Intel · Changes in the Linux file system. Device Flush.

Servers 90

Servers Media Cache Storage 90

High Scalability

NOVEMBER 25, 2019

Infrastructure Optimization. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Version5: files metadata in MySQL, files stored in EOS/GCS/S3/Azure and served via HTTP, search in Lucene. What Infrastructure Do You Use? Video Transcoding. Permissions. Hybrid Sync.

Architecture 52

Architecture Cache Azure Storage 52