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. Most infrastructure and applications generate logs. Comparing log monitoring, log analytics, and log management.

Systems 187

Systems Cloud Analytics DevOps 187

Dynatrace

JANUARY 22, 2024

The logs, metrics, traces, and other metadata that applications and infrastructure generate have historically been captured in separate data stores, creating poorly integrated data silos. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance.

Artificial Intelligence 210

Artificial Intelligence Healthcare Retail Government 210

High Scalability

JANUARY 11, 2022

FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. After that, the post gets added to the feed of all the followers in the columnar data storage. System Components. Fetching User Feed. Streaming Data Model.

Design 334

Design Media Storage Logistics 334

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. 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.

Efficiency 278

Efficiency Performance Analytics DevOps 278

Dynatrace

MARCH 24, 2023

Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. How does container orchestration work? And organizations use Kubernetes to run on an increasing array of workloads.

Infrastructure 188

Infrastructure Open Source Operating System Cloud 188

Dynatrace

NOVEMBER 22, 2021

Because of its matrix of cloud services across multiple environments, AWS and other multicloud environments can be more difficult to manage and monitor compared with traditional on-premises infrastructure. EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale. Amazon EC2.

Best Practices 214

Best Practices AWS Monitoring Serverless 214

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. Yet observability into syslog data on Dynatrace would help you monitor and troubleshoot infrastructure. Log ingestion strategy no. What is Fluentd?

Strategy 182

Strategy AWS Open Source Transportation 182

Dynatrace

OCTOBER 17, 2023

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.

Retail 239

Retail Storage Best Practices Architecture 239

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

DECEMBER 16, 2022

AI-powered precise answers and timely insights with ad-hoc analytics. But DIY is neither sufficient nor scalable to meet enterprise needs in the long run. Automation at scale. Engineering teams often gravitate toward a 100% do-it-yourself approach, which is OK for experimentation and testing.

Innovation 199

Innovation Software Software Cloud 199

Dynatrace

JANUARY 23, 2024

Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. Cloud observability is central to platform engineering The uptick in digital transformation initiatives has created a drive for scalability among global organizations. What is platform engineering?

Performance 188

Performance DevOps Innovation Artificial Intelligence 188

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

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

All Things Distributed

OCTOBER 17, 2016

In the remainder of 2016 and inq 2017, we will launch another four AWS regions in Canada, China, the United Kingdom, and France, adding another nine AZs to our global infrastructure footprint. The Ohio Region launches with three AZs so that customers can create high-availability environments and architect for fault tolerance and scalability.

AWS 127

AWS Cloud Infrastructure Analytics 127

Dynatrace

NOVEMBER 5, 2019

Combined, these integration points cover the full application stack from infrastructure monitoring to end-user experience. Digital Experience Monitoring (DEM) – A fully integrated DEM enables monitoring of the end-user experience for your applications while also providing data for business-level analytics. How does Dynatrace fit in?

Azure 138

Azure Artificial Intelligence Metrics Innovation 138

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.

Cloud 57

Cloud Testing Storage DevOps 57

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

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

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 needed a way to run agents and tie the runs to the internal infrastructure for analytics, reporting, and visualizations.

Testing 163

Testing AWS Lambda Network 163

Dotcom-Montior

OCTOBER 6, 2021

A site reliability engineer, or SRE, is a role that that encompasses aspects of both software engineering and operations/infrastructure. trying to reduce the amount of manual work and ensuring all the components (infrastructure/hardware, middleware, software, etc.) What are Some Common SRE Responsibilities? Performance. Monitoring.

Engineering 67

Engineering DevOps Monitoring Google 67

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. Teams have introduced workarounds to reduce storage costs. Current analytics tools are fragmented and lack context for meaningful analysis.

Analytics 237

Analytics Artificial Intelligence Storage Serverless 237

Dynatrace

JANUARY 12, 2022

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. Messaging systems are typically implemented as lightweight storage represented by queues or topics. Dynatrace news. Finally, you can configure and activate them there.

Analytics 189

Analytics Systems DevOps Healthcare 189

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands.

Cloud 130

Cloud Energy AWS Healthcare 130

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. High-performance analytics—no indexing required.

Artificial Intelligence 270

Artificial Intelligence Analytics Storage Architecture 270

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. They enable IT teams to identify and address the precise cause of application and infrastructure issues.

Analytics 190

Analytics Infrastructure Storage Efficiency 190

All Things Distributed

AUGUST 16, 2011

Werner Vogels weblog on building scalable and robust distributed systems. The move to the cloud is projected by 2015 see a reduction of 30% in IT infrastructure costs, which amounts to $7.2 Many US federal agencies are already migrating existing IT infrastructure onto the cloud using Amazon Web Services. All Things Distributed.

AWS 113

AWS Government Big Data Cloud 113

All Things Distributed

DECEMBER 14, 2011

Werner Vogels weblog on building scalable and robust distributed systems. You can learn more about our growing global infrastructure footprint at [link]. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics. All Things Distributed.

AWS 115

AWS Latency Storage Big Data 115

All Things Distributed

AUGUST 17, 2011

Werner Vogels weblog on building scalable and robust distributed systems. As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. Driving Storage Costs Down for AWS Customers. All Things Distributed.

Servers 126

Servers Social Media AWS Website 126

All Things Distributed

MARCH 2, 2011

Werner Vogels weblog on building scalable and robust distributed systems. With the launch of the Asia Pacific (Tokyo) Region, companies can now leverage the AWS suite of infrastructure web services directly connected to Japanese networks. Driving Storage Costs Down for AWS Customers. Driving down the cost of Big-Data analytics.

AWS 114

AWS Cloud Games Latency 114

Dynatrace

NOVEMBER 20, 2023

How this data-driven technique gives foresight to IT teams – blog By analyzing patterns and trends, predictive analytics enables teams to take proactive actions to prevent problems or capitalize on opportunities. A modern observability platform enables teams to gain the benefits of cloud infrastructure while retaining visibility.

AWS 211

AWS Artificial Intelligence Analytics Cloud 211

All Things Distributed

AUGUST 22, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Caching has become a standard component in many applications to achieve a fast and predictable performance, but maintaining a collection of cache servers in a reliable and scalable manner is not a simple task. Driving Storage Costs Down for AWS Customers.

Cloud 117

Cloud Cache AWS Storage 117

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center.

Latency 63

Latency Analytics Scalability Engineering 63

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Storage is a critical aspect to consider when working with cloud workloads. Hybrid cloud environments that integrate on-premises infrastructure with cloud services.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JUNE 27, 2023

Many AWS services and third party solutions use AWS S3 for log storage. We hear from our customers how important it is to have a centralized, quick, and powerful access point to analyze these logs; hence we’re making it easier to ingest AWS S3 logs and leverage Dynatrace Log Management and Analytics powered by Grail.

AWS 201

AWS Cloud Lambda Analytics 201

Dynatrace

AUGUST 21, 2023

A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. Traditional log management solution challenges Survey data suggests that teams need a modern approach to log management and analytics, which requires a unified log management solution.

Analytics 146

Analytics Innovation Infrastructure Scalability 146