DZone

JULY 3, 2023

Data engineering projects often require the setup and management of complex infrastructures that support data processing, storage, and analysis. Traditionally, this process involved manual configuration, leading to potential inconsistencies, human errors, and time-consuming deployments.

Data Engineering 148

Data Engineering Infrastructure Code Engineering 148

Dynatrace

OCTOBER 17, 2023

Customers experience delayed time to value from the data they’re ingesting as they must take additional steps to make the data useful for troubleshooting and analysis, such as re-indexing. Customers find themselves confined to models that limit their ability to leverage the volume of data they possess for practical analysis.

Retail 233

Retail Storage Best Practices Architecture 233

Dynatrace

JUNE 9, 2023

Increasing an organization’s DevOps maturity is a key goal as teams adopt more cloud-native technologies, which simultaneously makes their environments more scalable and feature-rich but also more complex. Indexless means teams have rapid access to data without the storage cost and resources needed to maintain massive indexes.

DevOps 180

DevOps Analytics Storage Metrics 180

High Scalability

DECEMBER 16, 2022

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure. Can you expand?

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Log monitoring enables the collection of log data, and log analysis promotes intelligent, data-driven decision making. Dynatrace news.

Cloud 182

Cloud Systems Analytics DevOps 182

Dynatrace

AUGUST 30, 2023

Dynatrace’s collaboration with Google addresses these needs by providing simple, scalable, and innovative data acquisition for comprehensive analysis and troubleshooting. Service Insights via Method Hotspots The Method Hotspot view is typically accessed from a distributed trace or unified service analysis screen.

Google 215

Google Cloud Innovation Infrastructure 215

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

JULY 29, 2021

By adding information about dependencies between entities, Dynatrace enables seamless navigation across all data, in context, with explorative analysis of the cause-and-effect service chain. How can we optimize for performance and scalability? Does a certain issue impact a specific service?

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

AUGUST 9, 2023

This approach addresses classic security-driven log analysis and SIEM use cases, and includes threat hunting and looking for anomalies or IoCs. Observability (runtime) context : Utilizing contextualized observability data, you can combine traces, logs, and metrics with security events using AI-driven analysis.

Analytics 214

Analytics Metrics Database Storage 214

The Netflix TechBlog

MAY 4, 2023

The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration. After replaying the requests, this dedicated service also records the responses from the production and replay paths for offline analysis.

Traffic 347

Traffic Latency Tuning Systems 347

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. That’s where a data lakehouse can help.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more.

Infrastructure 196

Infrastructure Monitoring Virtualization Serverless 196

High Scalability

NOVEMBER 2, 2020

ShiftLeft NextGen Static Analysis (NG SAST) is a software-as-a-service static analysis solution that allows developers to scan every pull request for security issues. We rewrote almost all of the storage used for storing code analysis results while maintaining backwards compatibility and without any outages.

Storage 231

Storage Design Infrastructure Engineering 231

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

JANUARY 22, 2024

Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance. Software development.

Artificial Intelligence 203

Artificial Intelligence Healthcare Retail Government 203

Dynatrace

JANUARY 16, 2023

Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. This report reflects Kubernetes adoption statistics based on the analysis of 4.1

Open Source 339

Open Source Java Operating System Programming 339

Dynatrace

DECEMBER 18, 2023

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. But often, we use additional services and solutions within our environment for backups, storage, networking, and more.

Metrics 174

Metrics Engineering Energy Tuning 174

Dynatrace

JUNE 8, 2020

Meeting the requirements of a tier-0 application demands the highest level of reliability and scalability, which Dynatrace enables through extensive self-monitoring and self-healing across the entire application stack down to the infrastructure level. It is more critical to our business than any other revenue-driving application.”

Software 164

Software Software Programming Metrics 164

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. Log ingestion strategy no.

Strategy 176

Strategy AWS Open Source Transportation 176

Dynatrace

NOVEMBER 5, 2019

User analysis – Adding a JavaScript tag into the applications front end pages enables the collection of front-end load times of the applications. Session Replay – Record user sessions in real-time, with the ability to replay the session to find the root cause of the problem, and usability analysis.

Azure 136

Azure Artificial Intelligence Metrics Innovation 136

Dynatrace

MAY 14, 2020

The world’s most scalable, automatic distributed tracing pushes the boundary once again with enhanced Adaptive Load Management. This means that disk space requirements for Dynatrace transaction storage may increase. Without this, the retention time for transaction storage might be reduced when disk capacity is reached.

Processing 152

Processing Hardware Traffic Storage 152

Dynatrace

NOVEMBER 22, 2021

With EC2, Amazon manages the basic compute, storage, networking infrastructure and virtualization layer, and leaves the rest for you to manage: OS, middleware, runtime environment, data, and applications. While this provides greater scalability than on-site instrumentation, it also introduces complexity. Amazon EC2.

Best Practices 207

Best Practices AWS Monitoring Serverless 207

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations. Grail enables 100% precision insights into all stored data. .

Analytics 183

Analytics Infrastructure Storage Architecture 183

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

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host. What does observability mean for Kubernetes?

Virtualization 159

Virtualization Infrastructure Monitoring Cloud 159

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. Instead of querying objects from the IMDG and analyzing them in the client, applications can now simply run this analysis within the IMDG itself using APIs available in ScaleOut StateServer Pro.

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. Instead of querying objects from the IMDG and analyzing them in the client, applications can now simply run this analysis within the IMDG itself using APIs available in ScaleOut StateServer Pro.

Analytics 52

Analytics Airlines Cache Scalability 52

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 following diagram illustrates a typical workflow. Conventional streaming analytics architectures have not kept up with the growing demands of IoT.

IoT 78

IoT Analytics Big Data Architecture 78

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins. How many ventilators currently are in repair by make?”.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins. How many ventilators currently are in repair by make?”.

Logistics 52

Logistics Analytics Scalability Cloud 52

All Things Distributed

JUNE 10, 2016

The specific example application provided in this repository enables users to upload photos and notes using Amazon Simple Storage Service (Amazon S3) and Amazon API Gateway respectively. IoT Backend Serverless Reference Architecture. The architecture can be created with an AWS CloudFormation template.

Lambda 102

Lambda Serverless AWS Architecture 102

All Things Distributed

MAY 10, 2016

The specific example application provided in this repository enables users to upload photos and notes using Amazon Simple Storage Service (Amazon S3) and Amazon API Gateway respectively. IoT Backend Serverless Reference Architecture. The architecture can be created with an AWS CloudFormation template.

Lambda 102

Lambda Serverless AWS Architecture 102

Percona

SEPTEMBER 1, 2023

Scalability As your data volume and user base expand, a finely tuned database can seamlessly accommodate increased workloads without compromising performance. This scalability ensures that your applications can grow in tandem with your business or user demands, maintaining a high level of operational efficiency.

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

OCTOBER 4, 2022

Still, it is critical to collect, store, and make easily accessible these massive amounts of log data for analysis. Teams have introduced workarounds to reduce storage costs. Current analytics tools are fragmented and lack context for meaningful analysis. And this expansion shows no sign of slowing down.

Analytics 230

Analytics Artificial Intelligence Storage Serverless 230

The Netflix TechBlog

MAY 21, 2019

Solution We built a system called Lerner that consists of a set of microservices and a python library that allows scalable agent training and inference for test case scheduling. We wanted the to tool be available as a standalone library as well as scalable API service. which allows fast deployment times and rapid scalability.

Testing 164

Testing AWS Lambda Network 164

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. Another important view is the historical data across all nodes, which allows administrators to spot deployment imbalances as well as under or overprovisioned nodes: The node analysis view makes it easy to spot deployment imbalances as well as misconfigured and unhealthy nodes. #3

AWS 127

AWS Monitoring Ecommerce Lambda 127