Dynatrace

MARCH 24, 2023

Problems include provisioning and deployment; load balancing; securing interactions between containers; configuration and allocation of resources such as networking and storage; and deprovisioning containers that are no longer needed. Mesos also supports other orchestration engines, including Kubernetes and Docker Swarm.

Infrastructure 177

Infrastructure Open Source Operating System Cloud 177

Dynatrace

JANUARY 23, 2024

Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. To learn more about platform engineering, explore the following resources.

Performance 177

Performance DevOps Innovation Energy 177

Dynatrace

DECEMBER 16, 2022

AI-powered precise answers and timely insights with ad-hoc analytics. Engineering teams often gravitate toward a 100% do-it-yourself approach, which is OK for experimentation and testing. Successful platform adoption requires a platform to be easy to use and integrate with other architectures, applications, and data sources.

Innovation 187

Innovation Software Software Cloud 187

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

Dynatrace

DECEMBER 15, 2022

As with all other log ingestion configurations, these examples work seamlessly with the new Log Management and Analytics powered by Grail that provides answers with any analysis at any time. But there are cases where you might be limited in setting up a dedicated syslog server with OneAgent because of environment architecture or resources.

Strategy 172

Strategy AWS Open Source Transportation 172

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. The Dynatrace AI engine, Davis , provides precise answers with automatic root-cause analysis to help DevOps and ITOps continuously improve workflows. ” The post What is ITOps?

Artificial Intelligence 192

Artificial Intelligence DevOps Hardware Virtualization 192

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. PostgreSQL & Elastic for data storage. MaaSS for Cloud Architects: Deployment and Architecture Validations. Validate correct architecture, configuration and deployment by looking at Service Flow! Full-stack observability. End-to-end code-level tracing. Service mash insights.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. One of the powerful workflows to leverage is continuous release validation.

AWS 238

AWS Efficiency Azure Cloud 238

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. In another survey, using multiple metrics for overall popularity, PostgreSQL ranks as the fourth most popular database management system ( DB-Engines, March 2023 ). PostgreSQL is open source relational database management software.

Open Source 80

Open Source Healthcare Social Media Database 80

Dynatrace

OCTOBER 4, 2022

Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. Enter Grail-powered data and analytics.

Analytics 181

Analytics Software Software Storage 181

The Netflix TechBlog

JULY 30, 2019

and beyond By Anoop Panicker and Kishore Banala Conductor is a workflow orchestration engine developed and open-sourced by Netflix. Many of the Netflix Content and Studio Engineering services rely on Conductor for efficient processing of their business flows. The Netflix Media Database (NMDB) is one such example.

Lambda 191

Lambda Media Open Source Metrics 191

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes.

Analytics 224

Analytics Artificial Intelligence Storage Serverless 224

The Netflix TechBlog

SEPTEMBER 18, 2024

Cassandra serves as the backbone for a diverse array of use cases within Netflix, ranging from user sign-ups and storing viewing histories to supporting real-time analytics and live streaming. Data Model At its core, the KV abstraction is built around a two-level map architecture.

Latency 212

Latency Storage Cache Efficiency 212

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. Grail architectural basics. Work with different and independent data types.

Artificial Intelligence 258

Artificial Intelligence Analytics Storage Architecture 258

Uber Engineering

APRIL 5, 2018

Three years ago, Uber Engineering adopted Hadoop as the storage ( HDFS ) and compute ( YARN ) infrastructure for our organization’s big data analysis.

Systems 109

Systems Big Data Storage Infrastructure 109

Dynatrace

JANUARY 12, 2022

In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. Messaging systems are typically implemented as lightweight storage represented by queues or topics. – DevOps Engineer, large healthcare company. This is great! New to Dynatrace?

Analytics 178

Analytics Systems DevOps Healthcare 178

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. where an error occurred at the code level.

Analytics 211

Analytics Storage Infrastructure Metrics 211

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. These data pipelines can process data at petabytes scale and to some extent, their success can be attributed to an army of engineers devoted to build and maintain internal data pipelines. It can be used to power new analytics, insight, and product features.

Latency 63

Latency Analytics Scalability Engineering 63

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 178

Analytics Infrastructure Storage Architecture 178

The Netflix TechBlog

MAY 21, 2019

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. Experiment with different neural network architectures.

Testing 164

Testing AWS Lambda Network 164

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. 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. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Shell''s scientists, especially the geophysicists and drilling engineers, frequently use cloud computing to run models. In addition, its robust architecture supports ten times as many scientists, all working simultaneously.

Cloud 123

Cloud Energy AWS Healthcare 123

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. Modularity and flexibility.

Big Data 154

Big Data Processing Lambda Database 154

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Smashing Magazine

NOVEMBER 2, 2021

Following from the above, an undeniable strength of PWAs, when compared to native applications, is that their pages are findable via search engines. For instance, the product pages of an e-commerce store’s native app don’t come in sight of search engines. The separation of monolithic architecture (making it headless) brings many perks.

Code 75

Code Cache Retail Mobile 75

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. It uses a hash table to manage these pairs, divided into fixed-size buckets with linked lists for key-value storage.

Cache 130

Cache Storage Architecture Scalability 130

All Things Distributed

NOVEMBER 19, 2010

Science & Engineering. Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures. an engineering adventure to break the 1,000 mph barrier in a car. Driving Storage Costs Down for AWS Customers. At werner.ly Syndication.

AWS 65

AWS Cloud Benchmarking Storage 65

All Things Distributed

APRIL 5, 2012

Recently I had great conversations with Troy Otillio, Senior Development Manager at Intuit and Jack Murgia, Senior DevOps Engineer at Edmodo. Jack and his engineers have created a safe social app for teachers and students. Troy and his team have added a contextual social offering to the popular TurboTax and Intuit applications.

Innovation 138

Innovation AWS Education Network 138

All Things Distributed

SEPTEMBER 30, 2010

Visiting future customers is equally exiting as you get a change to understand their current architecture, if it is a migration, and how they plan to exploit cloud services in their new setup. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics.

AWS 72

AWS Cloud Storage Best Practices 72

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

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. New technologies such as predictive analytics and more sophisticated tools are expected to shape how businesses manage their database systems.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

MAY 19, 2023

Network traffic growth is the main reason for increasing spending, largely because of the adoption of hybrid and multi-cloud architectures. It’s more complex than it sounds.” As cloud entities multiply, along with greater reliance on microservices and serverless architectures, so do the complex relationships and dependencies among them.

Network 206

Network Monitoring Performance Traffic 206

All Things Distributed

JULY 13, 2010

Additionally, many high-end HPC applications take advantage of knowing their in-house hardware platforms to achieve major speedup by exploiting the specific processor architecture. Cluster Computer Instances are similar to other Amazon EC2 instances but have been specifically engineered to provide high performance compute and networking.

Cloud 114

Cloud AWS Automotive Latency 114

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

All Things Distributed

DECEMBER 5, 2010

There is more than one Werner Vogels in this world and although I never get emails, snail mail or phones calls for any of my peers, I am sure they are somewhat frustrated if they type in our name in a search engine :-). Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. At werner.ly

Cloud 116

Cloud Internet Internet AWS 116

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns.

Latency 252

Latency Storage Big Data Tuning 252

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. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces. Dynatrace news. Deep-code execution details.

Java 223

Java Traffic Architecture Strategy 223