Scalegrid

APRIL 16, 2020

Where you decide to host your cloud databases is a huge decision. You have to choose your hosting model, a cloud provider, and then your primary and standby regions to deploy to. What is ScaleGrid’s Bring Your Own Cloud Plan? Here are the databases and cloud providers supported through each model: Supported Databases.

Cloud 242

Cloud Azure AWS Database 242

Scalegrid

MARCH 22, 2024

Thinking about going multi-cloud? A well-planned multi cloud strategy can seriously upgrade your business’s tech game, making you more agile. Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in.

Strategy 130

Strategy Cloud Government Innovation 130

Scalegrid

JANUARY 8, 2024

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

APRIL 25, 2023

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. You can find the complete matrix of our support here.

Serverless 203

Serverless Lambda Azure AWS 203

Scalegrid

JANUARY 12, 2024

What is workload in cloud computing? Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. The environments, which were previously isolated, are now working seamlessly under central control.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

APRIL 7, 2021

But your infrastructure teams don’t see any issue on their AWS or Azure monitoring tools, your platform team doesn’t see anything too concerning in Kubernetes logging, and your apps team says there are green lights across the board. Every component has its own siloed cloud monitoring tool, with its own set of data. The blame game.

Cloud 156

Cloud Monitoring Latency Games 156

Dynatrace

SEPTEMBER 30, 2021

More organizations than ever are undertaking cloud migration as digital transformation continues to gain momentum across every industry in every region. But what does it take to migrate your existing applications to the cloud? What is cloud migration? However, it can also mean migrating from one cloud to another.

Cloud 163

Cloud Traffic Best Practices Strategy 163

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. Serverless computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage.

Serverless 242

Serverless Efficiency Lambda Azure 242

Dynatrace

SEPTEMBER 13, 2023

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.

AWS 243

AWS Efficiency Azure Cloud 243

Dynatrace

JANUARY 31, 2024

Many organizations face significant challenges in pursuing their cloud migration initiatives, which often accompany or precede AI initiatives. Worse, the costs associated with GenAI aren’t straightforward, are often multi-layered, and can be five times higher than traditional cloud services. Service reliability.

Cache 201

Cache Azure Infrastructure Monitoring 201

Scalegrid

NOVEMBER 25, 2019

In this post, we break down ScyllaDB cloud vs. on-premise deployments, most popular cloud providers, SQL and NoSQL databases used with ScyllaDB, most time-consuming management tasks, and why you should use ScyllaDB vs. Cassandra. ScyllaDB Cloud vs. ScyllaDB On-Premises. Most Popular Cloud Providers for ScyllaDB.

Big Data 187

Big Data Database Open Source Azure 187

Dynatrace

JUNE 7, 2023

One of the crucial success factors for delivering cost-efficient and high-quality AI-agent services, following the approach described above, is to closely observe their cost, latency, and reliability. This includes OpenAI as well as Azure OpenAI services, such as GPT-3, Codex, DALL-E, or ChatGPT.

Monitoring 162

Monitoring Latency Metrics Azure 162

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

Scalegrid

DECEMBER 16, 2019

While you may assume a great majority of the cloud database deployments are run on AWS, Azure, or Google Cloud Platform, small to medium-sized businesses in particular are gravitating towards the developer-friendly cloud provider, DigitalOcean , for their hosting for MongoDB® needs. DigitalOcean Droplets.

Azure 187

Azure AWS Latency Database 187

Scalegrid

FEBRUARY 8, 2024

Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions. Amazon S3 and Microsoft Azure Blob Storage leverage distributed storage solutions. By implementing data replication strategies, distributed storage systems achieve greater.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

OCTOBER 10, 2022

Many organizations today rely on cloud-native applications for their scalability and agility, among other benefits. However, not all cloud strategies are the same. Unlike a traditional IT model, however, cloud providers own and manage these resources. Reduced latency. Some organizations prefer a serverless approach.

Serverless 163

Serverless Infrastructure Lambda Latency 163

Dynatrace

MAY 19, 2022

In their new dashboard, they added dimensions for load, latency, and open problems for each component. The “Four Golden Signals” include the following: Latency. For example, one dashboard is broken down by cloud hosting provider. SLO dashboard defined by architectural boundary. This is the number of requests that fail.

Automotive 267

Automotive Latency Architecture Azure 267

High Scalability

JANUARY 11, 2022

When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. We can use cloud technologies such as Amazon Kinesis or Azure Stream Analytics for collecting, processing, and analyzing real-time, streaming data to get timely insights and react quickly to new information(e.g.

Design 334

Design Media Storage Logistics 334

Dynatrace

OCTOBER 4, 2022

Data lakehouses take advantage of low-cost object stores like AWS S3 or Microsoft Azure Blob Storage to store and manage data cost-effectively. Data lakehouses deliver the query response with minimal latency. As a result, organizations receive context-rich observability and security data analytics in cloud-native environments.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

Dynatrace

JULY 10, 2019

OneAgent & cloud metrics. Virtualization can be a key player in your process’ performance, and Dynatrace has built-in integrations to bring metrics about the Cloud Infrastructure into your Dynatrace environment. Dynatrace provides out-of-the-box support for VMware, AWS, Azure, Pivotal Cloud Foundry, and Kubernetes.

Java 136

Java Best Practices Metrics Azure 136

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. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

High Scalability

JULY 20, 2018

And if you know anyone looking for a simple book that uses lots of pictures and lots of examples to explain the cloud, then please recommend my new book: Explain the Cloud Like I'm 10. It would mean a great deal to me. They'll love you even more. The third wing of the architecture piece is the “domain specific system-on-chip.”

Internet 121

Internet Internet Scalability Automotive 121

Dynatrace

MAY 17, 2023

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. And that’s where Dynatrace OneAgent comes in. What is OneAgent?

Metrics 168

Metrics Monitoring Database Network 168

Particular Software

AUGUST 16, 2021

How do I move from Azure Tables to Cosmos DB? ?? Cosmos DB is the primary database service provided by Azure. Provisioned throughput mode also has a free tier, where one Cosmos DB account on your Azure subscription gets the first 1,000 RU/sec and 25GB of storage for free—ideal for learning something new. ?? What is Cosmos DB?

Azure 52

Azure Serverless Storage Database 52

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. When code isn’t in use, the cloud providers typically throttle it all the way down.

Serverless 57

Serverless Monitoring Lambda Latency 57

cdemi

FEBRUARY 20, 2017

Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another. Performance - Serverless Functions that are used less frequently may suffer from warmup response latency, where the infrastructure needs some time to deploy the function. Serverless can be achieved on Clouds. Google: Google Cloud Functions.

Serverless 64

Serverless Architecture Lambda Azure 64

O'Reilly

NOVEMBER 12, 2019

” As the uncommitted respondents (again, 60%) grapple with issues surrounding the main components of Next Architecture—decomposition, containers, the cloud, and orchestration—serverless adoption would seem poised for considerable growth in the next 12 to 18 months. latency, startup, mocking, etc.) Custom tooling” ranked No.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

VoltDB

JUNE 1, 2017

Private Clouds made of commodity hardware are perceived as the logical solution to this problem. In this case, what’s needed from a private cloud is lots of lightweight copies of what a production environment looks like, with heavy sharing of physical hardware. Latency Optimizers” – need support for very large federated deployments.

Hardware 56

Hardware Latency Virtualization Cloud 56

Adrian Cockcroft

APRIL 5, 2023

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52

Energy Metrics Cloud Operating System 52

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Download our eBook, “ Enterprise Guide to Cloud Databases ” to help you make more informed decisions and avoid costly mistakes as you develop and execute your cloud strategy.

AWS 52

AWS Database Serverless Storage 52

VoltDB

JUNE 1, 2017

Private Clouds made of commodity hardware are perceived as the logical solution to this problem. In this case, what’s needed from a private cloud is lots of lightweight copies of what a production environment looks like, with heavy sharing of physical hardware. Latency Optimizers” – need support for very large federated deployments.

Hardware 40

Hardware Latency Virtualization Cloud 40

Abhishek Tiwari

NOVEMBER 3, 2018

Although some vendors have added support for APIs and cloud services most have not even bothered to adapt with changing technology landscape. In addition, traditional CMS solutions lack integration with modern software stack, cloud services, and software delivery pipelines. There is hardly any innovation from traditional CMS vendors.

Systems 63

Systems Cache Website Network 63

ScaleOut Software

JULY 19, 2021

Let’s take a closer look at today’s conventional streaming analytics architectures, which can be hosted in the cloud or on-premises. As shown in the following diagram, a typical analytics system receives messages from a message hub, such as Kafka, which buffers incoming messages from the data sources until they can be processed.

IoT 78

IoT Analytics Big Data Architecture 78

Sutter's Mill

JUNE 21, 2012

In the twilight of Moore’s Law, the transitions to multicore processors, GPU computing, and HaaS cloud computing are not separate trends, but aspects of a single trend—mainstream computers from desktops to ‘smartphones’ are being permanently transformed into heterogeneous supercomputer clusters.

Latency 40

Latency Transportation Hardware Education 40