Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. On-Premises Data Center A hybrid cloud architecture necessitates that an organization retains full authority over its physical or virtual infrastructure within the private cloud segment.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

AUGUST 21, 2023

A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. These solutions often provide better scalability and performance than on-premises solutions, while still providing broad infrastructure coverage. Reduce costs and inefficiencies.

Analytics 147

Analytics Innovation Infrastructure Scalability 147

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Container environments enable enterprises to quickly deploy and develop cloud-native applications that can run anywhere. Instead, enterprises manage individual containers on virtual machines (VMs).

Serverless 221

Serverless Azure Hardware Transportation 221

Scalegrid

JANUARY 8, 2024

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. Exploring artificial intelligence in cloud computing reveals a game-changing synergy.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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 191

Infrastructure Open Source Operating System Cloud 191

Dynatrace

JANUARY 16, 2023

Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines. Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. Java Virtual Machine (JVM)-based languages are predominant. Most organizations, 72%, use Java to some degree.

Open Source 347

Open Source Java Operating System Programming 347

Dynatrace

MAY 8, 2023

The DevOps approach breaks up projects into modular components that development teams build in parallel by working closely with operations and business stakeholders. Also known as continuous monitoring , DevOps monitoring enables development and operations teams to detect and respond to problems quickly. Help systems meet SLAs.

DevOps 225

DevOps Efficiency Monitoring Infrastructure 225

Dynatrace

NOVEMBER 22, 2021

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. It manages the underlying infrastructure that hosts distributed container-based applications, which frees developers to focus on innovating and developing applications.

Best Practices 217

Best Practices AWS Monitoring Serverless 217

All Things Distributed

JANUARY 23, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud - The AWS Storage Gateway. Today Amazon Web Services has launched the AWS Storage Gateway, making the power of secure and reliable cloud storage accessible from customersâ?? s storage infrastructure. Comments ().

Storage 115

Storage AWS Virtualization Cloud 115

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 205

Monitoring Serverless Programming Speed 205

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 205

Monitoring Serverless Programming Speed 205

Percona

MARCH 21, 2023

Tenants Multi-tenancy is a software architecture pattern where a single instance of a software application serves multiple tenants, allowing them to share resources like storage, processing power, and memory while maintaining separate, secure access to their respective data.

Serverless 122

Serverless Software Architecture Virtualization Database 122

Dynatrace

NOVEMBER 23, 2020

While speeding up development processes and reducing complexity does make the lives of Kubernetes operators easier, the inherent abstraction and automation can lead to new types of errors that are difficult to find, troubleshoot, and prevent. Configuring storage in Kubernetes is more complex than using a file system on your host.

Virtualization 162

Virtualization Infrastructure Monitoring Cloud 162

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. s Dynamo technology , which was one of the first non-relational databases developed at Amazon. All Things Distributed. Amazon DynamoDB â?? Comments ().

Scalability 167

Scalability Database Ecommerce Latency 167

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. GCF operates under the following three tenets: Simplify the developer experience.

Google 227

Google Cloud Serverless Azure 227

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. Join us at Dynatrace Perform 2024 , either on-site or virtuall y, to explore these themes further.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

VoltDB

JULY 10, 2018

In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. The post Scalable MicroService Architecture appeared first on VoltDB. As the complexity of applications and systems increases, the size of the teams that work on these also increase.

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. The post Scalable MicroService Architecture appeared first on VoltDB. As the complexity of applications and systems increases, the size of the teams that work on these also increase.

Architecture 40

Architecture Scalability Ecommerce Latency 40

Dynatrace

NOVEMBER 5, 2019

Microsoft offers a wide variety of tools to monitor applications deployed within Microsoft Azure, and the Azure Monitor suite includes several integration points into the enterprise applications, including: VM agent – Collects logs and metrics from the guest OS of virtual machines. Available as an agent installer). So, who cares, and why?

Azure 139

Azure Artificial Intelligence Metrics Innovation 139

All Things Distributed

AUGUST 20, 2015

Today, we are releasing a plugin that allows customers to use the Titan graph engine with Amazon DynamoDB as the backend storage layer. It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. The importance of relationships.

Database 134

Database Logistics Availability Social Media 134

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. It provides support for a range of message protocols, buffering, and scalable message distribution to downstream services.

IoT 52

IoT Azure Analytics Serverless 52

HammerDB

JUNE 27, 2022

Why HammerDB was developed. HammerDB development. HammerDB was originally developed by Steve Shaw as an employer approved own-time, own-materials project to implement workloads derived from TPC specifications in a user accessible way. Usage and industry adoption. Instead, most users prefer to implement a cached workload.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

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. For certain situations that don’t require scalability, on-premise testing can be cost-effective. . Scalability comes at a price. Challenges of On-Premise Testing.

Cloud 57

Cloud Testing Storage DevOps 57

Percona

MAY 15, 2023

In both cases, when using virtually-synchronous replication, the process will require certification from each node and local (by node) write; as such, the number of writes is NOT distributed across multiple nodes but duplicated. As well, very few cases are in need to have a full system/solution to provide scalability with sharding.

Traffic 121

Traffic Scalability Database Servers 121

Percona

JUNE 22, 2023

High availability works through a combination of the following: No single point of failure (SPOF) : You must eliminate any single point of failure in the database environment, including physical or virtual hardware the database system relies on that would cause it to fail. This flexibility can be crucial in designing a scalable architecture.

Availability 105

Availability Database Open Source Hardware 105

All Things Distributed

MARCH 11, 2016

Looking back over the past 10 years, there are hundreds of lessons that we’ve learned about building and operating services that need to be secure, reliable, scalable, with predictable performance at the lowest possible cost. The epoch of AWS is the launch of Amazon S3 on March 14, 2006, now almost 10 years ago. Primitives not frameworks.

AWS 144

AWS Hardware Retail Virtualization 144

Percona

JULY 7, 2023

HA in PostgreSQL databases delivers virtually continuous availability, fault tolerance, and disaster recovery. Also, in general terms, a high availability PostgreSQL solution must cover four key areas: Infrastructure: This is the physical or virtual hardware database systems rely on to run. there cannot be high availability.

Availability 82

Availability Open Source Architecture Database 82

All Things Distributed

OCTOBER 2, 2017

We were pushing the limits of what was a leading commercial database at the time and were unable to sustain the availability, scalability and performance needs that our growing Amazon business demanded. A deep dive on how we were using our existing databases revealed that they were frequently not used for their relational capabilities.

Internet 128

Internet Internet AWS Performance 128

Dynatrace

JULY 8, 2020

One of the promises of container orchestration platforms is to make i t easier for the developers to accelerate the deployment of their app lication s without having to worry about scalability and infrastructure dependencies. This enforces the resource utilization policies, protecting the cluster, and workloads.

Infrastructure 201

Infrastructure Monitoring Cloud Metrics 201

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. To simplify development for.NET applications, it uses Microsoft’s language integrated query ( LINQ ) to specify queries. Now developers can finally extract full value from their IMDGs.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. To simplify development for.NET applications, it uses Microsoft’s language integrated query ( LINQ ) to specify queries. Now developers can finally extract full value from their IMDGs.

Analytics 52

Analytics Airlines Cache Scalability 52

All Things Distributed

JULY 19, 2012

Werner Vogels weblog on building scalable and robust distributed systems. With PV virtualization we are seeing between 10,000 and 85,000 IOPS for 4k random writes and with HVM between 9,000 and 75,000. For more details on the new instance type see the EC2 detail page and the AWS developer blog. (As All Things Distributed.

Cloud 129

Cloud Performance AWS Virtualization 129

Abhishek Tiwari

DECEMBER 27, 2017

Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. faster development and deployment cycles. faster access to external storage and data locality (I/O, bandwidth). better cluster resource utilization.

Big Data 63

Big Data Storage Benchmarking Hardware 63

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

IO River

NOVEMBER 2, 2023

The community even developed a boatload of plugins to manage various tools and services; this includes comprehensive management of CDNs such as Cloudflare, Fastly, Akamai, and many others, allowing businesses to integrate and automate their content delivery mechanisms seamlessly.‍Background‍The ‍Why Manage Infrastructure by Code?

Open Source 52

Open Source DevOps AWS Azure 52

Abhishek Tiwari

JULY 12, 2018

In recent times, in order to gain valuable insights or to develop the data-driven products companies such as Netflix, Spotify, Uber, AirBnB have built internal data pipelines. This includes both data pipeline developed using batch-driven frameworks such as Apache AirFlow, Luigi, etc. Depending on frameworks, data processing units (a.k.a

Latency 63

Latency Analytics Scalability Engineering 63

All Things Distributed

AUGUST 16, 2011

Werner Vogels weblog on building scalable and robust distributed systems. The scalability, flexibility and the elasticity of AWS makes it an ideal environment for the agencies to run their analytics. To make use of the services in this region, customers will use the Amazon Virtual Private Cloud (VPC) to organize their AWS resources.

AWS 111

AWS Government Big Data Cloud 111