Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. The choice of self-managed cloud databases vs DBaaS is a common debate among those who are looking for the best option that will cater to their particular needs. Make sure to read our extensive article on DBaaS Pros and Cons !

Database 130

Database Cloud Hardware Storage 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

Dynatrace

NOVEMBER 6, 2023

Cloud-native workloads on edge devices are gaining momentum among organizations as they extend the hybrid cloud closer to the data source and end users at the edge. Successful deployments of cloud-native workloads at the edge help to reduce costs, boost performance, and improve customer experience.

Retail 255

Retail Analytics Storage Cloud 255

Scalegrid

MARCH 28, 2024

can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. Managed DBaaS solutions like ScaleGrid.io

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 182

Infrastructure Open Source Operating System Cloud 182

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. Digital Business Analytics.

Analytics 237

Analytics Infrastructure AWS Operating System 237

High Scalability

JANUARY 11, 2022

When the server receives a request for an action (post, like etc.) Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity.

Design 334

Design Media Storage Logistics 334

Scalegrid

OCTOBER 7, 2019

As this open source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. Most Popular Cloud Providers for PostgreSQL Hosting.

Strategy 182

Strategy Cloud Java Open Source 182

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., ” For just the YouTube Analytics application, we’re looking at metrics like this, with a 99%-ile latency of 412ms: Embedded statistics use cases include the various counters such as views, likes, and subscriptions that are included in pages.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

APRIL 26, 2022

With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings. Collected telemetry data may include the type of device being used (cellphone, tablet, smart watch), geographical location, server response time, performance, and security.

Monitoring 200

Monitoring Social Media IoT Metrics 200

Dynatrace

DECEMBER 15, 2022

While many organizations have embraced cloud observability to better manage their cloud environments, they may still struggle with the volume of entities that observability platforms monitor. Typically, these are streamed to a central syslog server. Log ingestion strategy no. 1: Welcome syslog, with the help of Fluentd.

Strategy 177

Strategy AWS Open Source Transportation 177

Dynatrace

DECEMBER 9, 2020

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Observability for heterogeneous cloud-native technologies is key. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces.

Java 230

Java Traffic Strategy Architecture 230

Testsigma

JULY 3, 2021

The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. It involves setting up a data center that meets security compliances and other factors like physical components, virtual elements, storage management, physical infrastructure, etc.

Cloud 57

Cloud Testing Storage DevOps 57

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Multiple Prometheus servers might be required, creating significant maintenance efforts. Dynatrace news. Easily gain actionable insights with the Dynatrace Extension for Prometheus metrics.

Technology 213

Technology Technology Metrics Infrastructure 213

Dynatrace

AUGUST 24, 2020

But there are other related components and processes ( for example, cloud provider infrastructure ) that can cause problems in applications running on Kubernetes. Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. . Conclusion.

Analytics 134

Analytics Infrastructure AWS Operating System 134

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

High Scalability

APRIL 3, 2019

In this free PostgreSQL Trends Report , we break down PostgreSQL hosting use across public cloud vs. private cloud vs. hybrid cloud, most popular cloud providers, migration trends, database combinations with Postgres, and why PostgreSQL is preferred over popular RDBMS alternatives.

Database 177

Database Cloud Open Source Systems 177

All Things Distributed

AUGUST 18, 2011

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. However, this cannot be done without efficient, scalable data analytics.

Big Data 111

Big Data Analytics AWS Cloud 111

Dynatrace

APRIL 21, 2022

Cloud Foundry transition to Settings 2.0. Autonomous Cloud. Cloud Automation. Improved error handling for unexpected storage issues. (APM-360014). High memory usage or potential OutOfMemory if the server is running without Elasticsearch connection for a prolonged time. (APM-362484). Autonomous Cloud.

Azure 212

Azure Metrics AWS Monitoring 212

Dynatrace

SEPTEMBER 17, 2019

But every organization I talked with, that is engaged in a k8s project, told me that in order for them to truly leverage k8s as a cloud native platform you need ALL of the following “ Monitoring as a Self-Service Capabilities ” (MaaSS) which aren’t covered by any of the open source or platform offerings: K8s cluster and pod health monitoring.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. PostgreSQL has powerful and advanced features, including asynchronous replication, full-text searches of the database, and native support for JSON-style storage, key-value storage, and XML. What is PostgreSQL used for?

Open Source 80

Open Source Healthcare Social Media Database 80

Dynatrace

NOVEMBER 5, 2019

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Dependency agent Installation – Maps connections between servers and processes. Hybrid and multi-cloud platform –.

Azure 136

Azure Artificial Intelligence Metrics Innovation 136

Percona

JULY 17, 2023

It’s a good setup for real-time analytics and high-speed logging. Those problems (some with shared elements) include: High cost and complicated pricing structure : Many companies say MongoDB has an expensive and complicated pricing structure ( Cloud Zero, January 2023 ).

Open Source 77

Open Source Database Scalability Software 77

All Things Distributed

AUGUST 17, 2011

No Server Required - Jekyll & Amazon S3. As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. I took my time to figure out what weblog CMS I was going to use to free me from having to run a server.

Servers 126

Servers Social Media AWS Website 126

All Things Distributed

AUGUST 22, 2011

Expanding the Cloud - Introducing Amazon ElastiCache. Given the widespread use of caching in many of the applications in the AWS Cloud, a caching service had been high on the request list of our customers. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Comments ().

Cloud 117

Cloud Cache AWS Storage 117

All Things Distributed

JUNE 7, 2017

We have seen that such devices can benefit greatly from the elastic resources of the cloud. Some applications – medical equipment, industrial machinery, and building automation are just a few – can't rely exclusively on the cloud for control, and require some form of local storage and execution. Law of Economics.

AWS 118

AWS IoT Lambda Storage 118

All Things Distributed

JULY 7, 2011

Expanding the Cloud - AWS Import/Export Support for Amazon EBS. AWS Import/Export transfers data off of storage devices using Amazons high-speed internal network and bypassing the Internet. Amazon Import/Export is an important tool for customers to accelerate moving large amounts of data into the AWS storage systems.

AWS 96

AWS Cloud Storage Internet 96

All Things Distributed

MARCH 2, 2011

Expanding the Cloud - Introducing the AWS Asia Pacific (Tokyo) Region. A local AWS Region enables companies to deploy a global cloud platform for their operations. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Expanding the Cloud â?? All Things Distributed.

AWS 112

AWS Cloud Games Latency 112

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

All Things Distributed

DECEMBER 5, 2010

Expanding the Cloud with DNS - Introducing Amazon Route 53. It would not be a first that a customer thinks that his EC2 instance is down when in reality it is some name server somewhere that is not functioning correctly. There are two main types of DNS servers: authoritative servers and caching resolvers. Comments ().

Cloud 117

Cloud Internet Internet AWS 117

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. IMDGs Help Scale Applications. The Need to Keep It Simple.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. IMDGs Help Scale Applications. The Need to Keep It Simple.

Cloud 40

Cloud Azure Virtualization Scalability 40

Smashing Magazine

MAY 17, 2021

Over time, we’ve evolved through a variety of static site generators, JavaScript frameworks, and server technologies. to do much server-side work, the majority of our content is statically exported as HTML, CSS, and JavaScript to be served from a CDN. server behind Caddy , a lightweight HTTP proxy server implemented in Go.

Google 93

Google Analytics Serverless Metrics 93

All Things Distributed

JANUARY 19, 2011

AWS Elastic Beanstalk: A Quick and Simple Way into the Cloud. Elastic Beanstalk makes it easy for developers to deploy and manage scalable and fault-tolerant applications on the AWS cloud. This is exactly where Elastic Beanstalk will help: to make it even simpler to get started and to run applications in the AWS cloud.

AWS 115

AWS Cloud Java Operating System 115