Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. This method known as GitOps would also boost the speed and efficiency of practicing DevOps organizations. GitOps improves speed and scalability. Dynatrace news. What is GitOps?

DevOps 230

DevOps Infrastructure Speed Cloud 230

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. All the tedious tasks such as storage, backups, and configuration are managed by an attentive crew so that you can concentrate on making your vacation special.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

JANUARY 11, 2023

Agentless monitoring, on the other hand, communicates directly with application programming interfaces (APIs). Cloud storage monitoring. Teams can keep track of storage resources and processes that are provisioned to virtual machines, services, databases, and applications. Virtual machine (VM) monitoring.

Cloud 227

Cloud Monitoring Best Practices Infrastructure 227

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. For nonurgent messages, texting is a more efficient approach. Dynatrace news. What is a message queue?

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. For nonurgent messages, texting is a more efficient approach. Dynatrace news. What is a message queue?

Monitoring 205

Monitoring Serverless Programming Speed 205

Dynatrace

FEBRUARY 15, 2023

Additionally, its modern architecture delivers cost-effective storage and compute. As a result, teams benefit from low-cost cloud storage that provides access to all data and doesn’t require data rehydration. AppEngine uses this data and simplifies intelligent app creation and integrations for teams throughout an organization.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

DECEMBER 15, 2022

While engaging the automatic instrumentation of the Dynatrace OneAgent makes log ingestion automatic and scalable , our customers have set up multiple other log ingestion methods. Fluentd is known for its flexibility and is also highly scalable, which makes it a good choice for high-volume environments.

Strategy 185

Strategy AWS Open Source Transportation 185

Percona

JUNE 4, 2023

MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB. In addition, MariaDB provides optimal scalability options, making it ideal for growing workloads.

Open Source 52

Open Source Servers Storage Scalability 52

Percona

MARCH 30, 2023

Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. Non-relational databases: Instead of tables, non-relational (NoSQL) databases use document-based data storage, column-oriented storage, and graph databases.

Open Source 72

Open Source Database Storage Scalability 72

Percona

OCTOBER 18, 2023

The findings from our 2023 Open Source Database Report highlight that a substantial 42% of all database instances are now licensed through community-supported open source models, and GitHub reports that over 30% of Fortune 100 companies have established open source program offices (OSPO) to coordinate and manage their open source initiatives.

Open Source 88

Open Source Database Hardware Strategy 88

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

The Morning Paper

FEBRUARY 6, 2020

Given the simplicity and economic appeal of FaaS, it is interesting to explore designs that preserve the autoscaling and operational benefits of current offerings, while adding performant, cost-efficient and consistent shared state and communication. Programming model. Cloudburst programs are written in Python.

Lambda 98

Lambda Serverless Cache Latency 98

Percona

DECEMBER 27, 2023

Consequently, they might miss out on the benefits of integrating security into the SDLC, such as enhanced efficiency, speed, and quality in software delivery. Customers will increasingly prioritize AI efficiency and education to tackle legal and ethical concerns. You mentioned ‘More Simple Kubernetes’?

Cloud 76

Cloud Open Source Strategy Best Practices 76

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Morning Paper

APRIL 16, 2019

Teaching rigorous distributed systems with efficient model checking Michael et al., During the ten week course, students implement four different assignments: an exactly-once RPC protocol; a primary-backup system; Paxos; and a scalable, transactional key-value storage system. EuroSys’19. The last word.

Systems 43

Systems Efficiency Testing Strategy 43

Percona

APRIL 10, 2023

Percona Distribution for PostgreSQL installs PostgreSQL and complements it with a selection of extensions that enable solving essential practical tasks efficiently. It contains “a set of library functions that allow client programs to pass queries to the PostgreSQL backend server and to receive the results of these queries.”

Open Source 74

Open Source Servers AWS Database 74

The Netflix TechBlog

MAY 21, 2019

There are several problems efficient test scheduling could help us solve: Quickly detect a regression in the integration of the Netflix SDK on a consumer electronic or MVPD (multichannel video programming distributor) device. We wanted the to tool be available as a standalone library as well as scalable API service.

Testing 163

Testing AWS Lambda Network 163

All Things Distributed

DECEMBER 13, 2016

AWS is not only affordable but it is secure and scales reliably to drive efficiencies into business transformations. At re:Invent 2016 , AWS announced Greengrass (in limited preview), a new service designed to extend the AWS programming model to small, simple, field-based devices. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Dynatrace

SEPTEMBER 25, 2019

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace automation and AI-powered monitoring of your entire IT landscape help you to engage your Citrix management tools where they are most efficient.

Latency 118

Latency Performance Virtualization Infrastructure 118

HammerDB

JUNE 27, 2022

What programming languages does HammerDB use and why does it matter? When HammerDB was designed, it was clear that where the database software was scalable (initially such as Oracle), CPU performance at full utilization was the key determining factor for database performance. Adoption by the TPC. Cached vs Scaled Workloads.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.

IoT 78

IoT Analytics Big Data Architecture 78

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. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis. They also can perform analysis quickly and efficiently — where the data lives.

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. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis. They also can perform analysis quickly and efficiently — where the data lives.

Analytics 52

Analytics Airlines Cache Scalability 52

All Things Distributed

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. We believe that making these GPU resources available for everyone to use at low cost will drive new innovation in the application of highly parallel programming models. General Purpose GPU programming. All Things Distributed. Comments (). From CPU to GPU.

AWS 136

AWS Latency Programming Architecture 136

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. We argue that RInK stores should not be used when implementing scalable data center services. From RInK to LInK.

Cache 79

Cache Latency Google Lambda 79

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. This talk explores the journey, learnings, and improvements to performance analysis, efficiency, reliability, and security.

AWS 37

AWS Entertainment Open Source Benchmarking 37

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52

ScaleOut Software

JANUARY 9, 2020

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. In addition, the platform provides fast, in-memory data storage so that the application easily can keep track of both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

Percona

JANUARY 14, 2019

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Inserts are efficient for bulk inserts only. created_utc?? ?

Database 40

Database Analytics Blockchain Healthcare 40

ACM Sigarch

NOVEMBER 1, 2019

Alongside more traditional sessions such as Real-World Deployed Systems and Big Data Programming Frameworks, there were many papers focusing on emerging hardware architectures, including embedded multi-accelerator SoCs, in-network and in-storage computing, FPGAs, GPUs, and low-power devices. ATC ’19 was refreshingly different.

Architecture 12

Architecture Hardware Cache Storage 12

ScaleOut Software

MAY 4, 2014

Usually this means moving to a server with more CPU cores, greater memory capacity, and higher-end networking and storage options. Now CPU, memory, and storage resources can grow without predefined limits. Now CPU, memory, and storage resources can grow without predefined limits.

Network 40

Network Servers Analytics Storage 40

SQL Server According to Bob

JANUARY 11, 2020

​​ The storage ​​ space that is required ​​ for the sparse file is only that of the actual bytes written to the file and not the ​​ maximum ​​ file ​​ size.

Servers 40

Servers Cache Database Media 40