High Scalability

JANUARY 11, 2022

Architecture. There are two major processes which gets executed when a user posts a photo on Instagram. The second process occurs asynchronously by persisting user activity in a columnar data-storage(Cassandra) and triggering the process to pre-compute the feed of followers of non-celebrity users (having few thousand followers).

Design 334

Design Media Storage Logistics 334

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives. These services are tailored to meet various business requirements.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JANUARY 22, 2024

Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance. Government. That’s why many organizations turn to data lakehouses.

Artificial Intelligence 204

Artificial Intelligence Healthcare Retail Government 204

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 16, 2022

AI-powered precise answers and timely insights with ad-hoc analytics. Successful platform adoption requires a platform to be easy to use and integrate with other architectures, applications, and data sources. Learn more about the Dynatrace platform and its Cloud Done Right architecture. Automation at scale.

Innovation 193

Innovation Software Software Cloud 193

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

MARCH 24, 2023

Container orchestration is a process that automates the deployment and management of containerized applications and services at scale. Container orchestration enables organizations to manage and automate the many processes and services that comprise workflows. How does container orchestration work? appeared first on Dynatrace news.

Infrastructure 182

Infrastructure Open Source Operating System Cloud 182

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

OCTOBER 14, 2022

All this is easier said than done because: Kubernetes-based dynamic architecture is becoming the norm. OneAgent processes rules precisely in this order, with host scope rules processed before host group and tenant scope rules. Dynamic landscape and data handling requirements result in manual work. Host group.

Storage 223

Storage Government Network Infrastructure 223

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

JANUARY 23, 2024

The following resources provide more information on how to get the most out of your AI investment, the importance of data quality for business success, and automating manual IT processes to prioritize innovation. Teams face siloed processes and toolsets, vast volumes of data, and redundant manual tasks.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

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 243

AWS Efficiency Azure Cloud 243

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 177

Strategy AWS Open Source Transportation 177

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

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. PostgreSQL & Elastic for data storage. In order to filter these dashboards by tenant all they need is a Dynatrace Management Zone , which is based on meta data extracted by Dynatrace from e.g. k8s tags, container labels or process environment variables. Full-stack observability.

AWS 127

AWS Monitoring Ecommerce Lambda 127

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 187

Analytics Software Software Storage 187

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. But making decisions about which data to store in easily accessible hot storage upfront requires IT pros to know which questions they want to ask ahead of time and ensure that data is indexed.

Analytics 130

Analytics Storage Cloud DevOps 130

Dynatrace

FEBRUARY 16, 2023

The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.

Analytics 182

Analytics Innovation Metrics Database 182

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 231

Analytics Artificial Intelligence Storage Serverless 231

Dynatrace

DECEMBER 5, 2023

Without observability, the benefits of ARM are lost Over the last decade and a half, a new wave of computer architecture has overtaken the world. ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use.

Efficiency 262

Efficiency Architecture Energy Monitoring 262

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. Ingest and process with Grail.

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Logs can include data about user inputs, system processes, and hardware states. What is log analytics? Log monitoring vs log analytics.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

The Netflix TechBlog

JULY 30, 2019

Many of the Netflix Content and Studio Engineering services rely on Conductor for efficient processing of their business flows. External Payload Storage External payload storage was implemented to prevent the usage of Conductor as a data persistence system and to reduce the pressure on its backend datastore.

Lambda 189

Lambda Media Open Source Metrics 189

Dynatrace

JANUARY 12, 2022

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication.

Analytics 183

Analytics Systems DevOps Healthcare 183

The Netflix TechBlog

MAY 21, 2019

Partners across the globe leverage Netflix device certification process on a continual basis to ensure that quality products and experiences are delivered to their customers. The certification process involves the verification of partner’s implementation of features provided by the Netflix SDK.

Testing 163

Testing AWS Lambda Network 163

Dynatrace

OCTOBER 4, 2022

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. Further, these resources support countless Kubernetes clusters and Java-based architectures. where an error occurred at the code level.

Analytics 217

Analytics Storage Infrastructure Metrics 217

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. Effectively automating IT processes is key to addressing the challenges of  complex cloud environments. What is AIOps?

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. The Greenplum Architecture. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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 184

Analytics Infrastructure Storage Efficiency 184

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 Scalability Architecture 130

Smashing Magazine

NOVEMBER 2, 2021

On the contrary, a native application of an e-commerce store can come at 30, 50, or even 100 MB and up, consuming internal device storage. The thing is that the majority of Magento stores have been up and running for about a decade and use a monolithic architecture. Image credit: Apivita. Large preview ).

Code 74

Code Cache Retail Mobile 74

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52