Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Proactive resource allocation.

Artificial Intelligence 257

Artificial Intelligence DevOps Analytics Engineering 257

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 180

Systems Cloud Analytics DevOps 180

Dynatrace

JANUARY 22, 2024

For example, machine learning can identify correlations in data and generate predictions, while causal AI determines which ones are the true drivers. For example, causal AI can help public health officials better understand the effects of environmental factors, healthcare policies, and social factors on health outcomes. Government.

Artificial Intelligence 200

Artificial Intelligence Healthcare Retail Government 200

Dynatrace

DECEMBER 13, 2023

From the customer perspective, mobile devices have become the singular touchpoint between businesses and users, for example, the new storefront, office, and customer support line. This includes how quickly the application loads, how much load it is putting on the device, how much storage is being used, and how frequently it crashes.

Best Practices 190

Best Practices Mobile Metrics Performance 190

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 268

Efficiency Performance Analytics DevOps 268

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 229

Retail Storage Best Practices Architecture 229

The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. It is critical for fast-paced product innovation at Netflix since CL provides foundational data for personalization, A/B experimentation, and performance analytics.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

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

Strategy 174

Strategy AWS Open Source Transportation 174

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 204

Best Practices AWS Monitoring Serverless 204

Dynatrace

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. This way, it‘s possible to flexibly select what confidential or sensitive information (for example, PII) is hashed or completely removed before it leaves the enterprise premises. Try it out yourself.

Storage 219

Storage Government Network Infrastructure 219

Dynatrace

APRIL 26, 2022

Gartner estimates that by 2025, 70% of digital business initiatives will require infrastructure and operations (I&O) leaders to include digital experience metrics in their business reporting. With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings.

Monitoring 196

Monitoring Social Media IoT Metrics 196

Dynatrace

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. Check out our Power Demo: Log Analytics with Dynatrace. What is AWS Transit Gateway?

AWS 210

AWS Transportation Network Traffic 210

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 240

AWS Efficiency Azure Cloud 240

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 20, 2021

For example, the <body> element of your page exists on one branch of this tree structure, with any <img> assets branching off. Consider the example of “rage clicks,” which are rapid clicks (or taps) on the same spot when a feature is unresponsive. Improved analytic context. In others, patterns emerge.

Mobile 240

Mobile Website Analytics Cache 240

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

Dynatrace

JANUARY 23, 2024

Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. For example, high-quality data and predictive AI enable causal AI to provide precise, continuous, and actionable insights in real time. What is platform engineering?

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

AUGUST 28, 2020

Azure Data Lake Analytics. Azure Data Lake Storage Gen1. For this, we selected three example services: Azure Automation, Azure Data Factory, and Azure Logic Apps. We’re happy to announce that now you can gain cloud monitoring excellence with Dynatrace for 15 additional Azure services, including: Azure Automation Account.

Azure 151

Azure Cloud Tuning Monitoring 151

Dynatrace

OCTOBER 4, 2022

However, cloud infrastructure has become increasingly complex. Further, the delivery infrastructure that makes this happen has also become complex. For example, users generate user data, ecommerce sites generate business data, and service portals generate service desk tickets and call volume data. But it doesn’t stop there.

Analytics 184

Analytics Software Software Storage 184

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Here are some examples: IT infrastructure and operations. Therefore, teams need a unified, intuitive approach to data aggregation and analysis.

Analytics 130

Analytics Storage Cloud DevOps 130

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. For example, a site reliability engineer may be involved with help desk tickets, on-call incidents, manual tasks, etc. What Does a Site Reliability Engineer Do? Performance. Monitoring. Post-Mortem.

Engineering 67

Engineering DevOps Monitoring Google 67

The Netflix TechBlog

JULY 30, 2019

The Netflix Media Database (NMDB) is one such example. Instead, we use a wrapper that pulls in the latest version of Conductor and adds Netflix infrastructure components and libraries before deployment. For example, we provide a TitusTask which enables our users to launch a new Titus container as part of their workflow execution.

Lambda 189

Lambda Media Open Source Metrics 189

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Logs on Grail Log data is foundational for any IT analytics. Grail and DQL will give you new superpowers.”

Analytics 179

Analytics Innovation Metrics Database 179

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 227

Analytics Artificial Intelligence Storage Serverless 227

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. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

Dynatrace

JANUARY 12, 2022

An example of a critical event-based messaging service for many businesses is adding a product to a shopping cart. Messaging systems are typically implemented as lightweight storage represented by queues or topics. We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems.

Analytics 180

Analytics Systems DevOps Healthcare 180

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. as an example. 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. For example, one of ScaleOut Software’s customers recently upgraded from just using distributed caching to scale its ecommerce application.

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. For example, one of ScaleOut Software’s customers recently upgraded from just using distributed caching to scale its ecommerce application.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

All Things Distributed

SEPTEMBER 6, 2013

Europe is a continent with much diversity and for each country there are great AWS customer examples to tell. Here are some great examples from different industries each with unique use cases. Shell leverages AWS for big data analytics to help achieve these goals. Royal Dutch Shell – is one of the world’s largest companies. *In

Cloud 129

Cloud Energy AWS Healthcare 129

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. This goal isn’t limited to observability efforts. Ingest and process with Grail.

Artificial Intelligence 261

Artificial Intelligence Analytics Storage Architecture 261

All Things Distributed

AUGUST 16, 2011

For example a number of our European customers are subject to data residency requirements when it comes to PII data and they use the EU Region to meet to those requirements. The move to the cloud is projected by 2015 see a reduction of 30% in IT infrastructure costs, which amounts to $7.2 Cloud Readyâ??;

AWS 111

AWS Government Big Data Cloud 111

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 180

Analytics Infrastructure Storage Efficiency 180

Dynatrace

FEBRUARY 9, 2021

As an application owner, product manager, or marketer, however, you might use analytics tools like Adobe Analytics to understand user behavior, user segmentation, and strategic business metrics such as revenue, orders, and conversion goals. In the screenshot below you can see an example of such a request attribute.

Analytics 137

Analytics Mobile Airlines Monitoring 137

All Things Distributed

AUGUST 17, 2011

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. Although there are some good examples that come with Cactus is still early days and there is not much of a community using it. At werner.ly Syndication.

Servers 126

Servers Social Media AWS Website 126

Dynatrace

APRIL 26, 2023

Some of our customers run tens of thousands of storage disks in parallel, all needing continuous resizing. The example below shows how the reactive approach can be transformed into a scheduled, predictive capacity management model. Example notebook showing average percentage of free disk space during past 7 days.

Games 205

Games Analytics Strategy Cloud 205