Dynatrace

APRIL 28, 2023

Customers must comply with internal and external policies and regulations that might demand them to keep specific data stored for a minimum period of time (for example, audit logs). For example, suppose data has to be retained for a longer period because of legal or business reasons.

Analytics 202

Analytics Storage Infrastructure Metrics 202

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. Davis AI, Grail, and data observability By grouping common data observability issues into industry-standard pillars, we can provide tangible examples and showcase current capabilities.

DevOps 187

DevOps Analytics Airlines Metrics 187

Dynatrace

JUNE 27, 2023

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. Use Notebooks on the Dynatrace platform to analyze logs from AWS Application Load Balancer.

AWS 187

AWS Cloud Lambda Analytics 187

Scalegrid

MAY 13, 2020

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. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. Greenplum Architectural Design. Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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 257

Artificial Intelligence Analytics Storage Architecture 257

The Netflix TechBlog

MARCH 7, 2019

To unlock these innovations we are making a strategic choice that our focus should be geared towards developing the surrounding infrastructure so that scientists’ work can be easily absorbed into the wider Netflix Experimentation Platform. Composition Data Science is a curiosity driven field, and should not be unnecessarily constrained [ 1 ].

Design 174

Design Engineering Innovation Java 174

Dynatrace

JANUARY 31, 2024

For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Using the example of a chatbot, once the user submits a natural language prompt, RAG summarizes that prompt using semantic data. Consequently, AI model drift and hallucinations emerge as primary concerns.

Cache 196

Cache Azure Infrastructure Monitoring 196

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Dynatrace AWS monitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage. OneAgent and its Operator .

Analytics 231

Analytics Infrastructure AWS Operating System 231

Scalegrid

FEBRUARY 8, 2024

Their design emphasizes increasing availability by spreading out files among different nodes or servers — this approach significantly reduces risks associated with losing or corrupting data due to node failure. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

AUGUST 25, 2023

Program staff depend on the reliable functioning of critical program systems and infrastructure to provide the best service delivery to the communities and citizens HHS serves, from newborn infants to persons requiring health services to our oldest citizens. Dynatrace provides analytics and automation for unified observability and security.

Government 192

Government Infrastructure Programming Cloud 192

Dynatrace

JULY 11, 2023

Red Hat OpenShift monitoring with Dynatrace stands out due to the following key aspects: Infrastructure health monitoring and optimization: Assess the status of your infrastructure at a glance, understand resource consumption, optimize resource allocation for cost-efficiency, and track software versions running within the Kubernetes environment.

Architecture 161

Architecture Availability Infrastructure Metrics 161

Dynatrace

JUNE 14, 2023

And specifically, how Dynatrace can help partners deliver multicloud performance and boundless analytics for their customers’ digital transformation and success. Cloud-native apps and infrastructure There is strong traction within the market helping customers to better adopt cloud-native environments with speed and confidence.

Programming 171

Programming Analytics Innovation Best Practices 171

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.

Best Practices 200

Best Practices AWS Monitoring Serverless 200

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. Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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

SEPTEMBER 22, 2021

Organizations use this to ensure an expected level of service — for example, to meet service level agreements — as measured by performance metrics and user experience monitoring. Organizations often start their APM journey by implementing APM tools which are typically designed to look at one specific aspect of application performance.

Innovation 193

Innovation Monitoring Open Source Infrastructure 193

Dynatrace

JULY 24, 2023

For example, consider an e-commerce website that automatically sends personalized discount codes to customers who abandon their shopping carts. Let’s examine a few examples of answer-driven automation using AI and context. DevOps automation example #2: Threat detection and response Let’s build on the previous example.

DevOps 209

DevOps Traffic Efficiency Servers 209

Dynatrace

AUGUST 24, 2020

But there are other related components and processes ( for example, cloud provider infrastructure ) that can cause problems in applications running on Kubernetes. Dynatrace AWS m onitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage.

Analytics 134

Analytics Infrastructure AWS Operating System 134

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 192

Monitoring Social Media IoT Metrics 192

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. As you build applications and rely more and more on Lambda architectures you need full observability of all tiers of the supporting infrastructure.

Lambda 159

Lambda AWS Serverless Infrastructure 159

Dynatrace

DECEMBER 21, 2023

Options at each level offer significant potential benefits, especially when complemented by practices that influence the design and purchase decisions made by IT leaders and individual contributors. This is a rather simple move as it doesn’t directly impact your infrastructure, just your contract with your electricity provider.

Cloud 198

Cloud Energy Best Practices Cache 198

Dynatrace

NOVEMBER 8, 2021

.” In its 2021 Magic Quadrant™ for Application Performance Monitoring, Gartner® defines APM as “Software that enables the observation of application behavior and its infrastructure dependencies, users and business key performance indicators (KPIs) throughout the application’s life cycle. Application performance insights.

Artificial Intelligence 223

Artificial Intelligence Monitoring Infrastructure Cloud 223

The Netflix TechBlog

JANUARY 10, 2024

When Reloaded was designed, we focused on a single use case: converting high-quality media files (also known as mezzanines) received from studios into compressed assets for Netflix streaming. For example, in Reloaded the video quality calculation was implemented inside the video encoder module. encode each chunk independently 3.

Processing 229

Processing Media Latency Innovation 229

Scalegrid

JANUARY 11, 2024

This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure. For example, Blumira offers a third-party solution while AWS provides its own with CloudWatch.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

APRIL 8, 2021

Most organizations have a grab bag of monitoring tools, each designed for a specific use case. Some may monitor web apps, others might be more focused on infrastructure and Kubernetes, and there might even be a separate monitoring tool for native-mobile apps. Dynatrace supports GDPR compliance by design.

Mobile 167

Mobile Monitoring Analytics Google 167

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. As you build applications and rely more and more on Lambda architectures you need full observability of all tiers of the supporting infrastructure.

Lambda 130

Lambda AWS Serverless Infrastructure 130

The Netflix TechBlog

APRIL 29, 2019

An easy, though imprecise, way of thinking about Netflix infrastructure is that everything that happens before you press Play on your remote control (e.g., Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. are you logged in?

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 236

AWS Efficiency Azure Cloud 236

Dynatrace

NOVEMBER 15, 2021

There is nothing worse than your well-designed digital touchpoint simply falling offline. Another obvious example is an issue in the checkout funnel of an e-commerce store. For a twist on that scenario, consider this example from the car insurance industry. What ruins a digital experience? Digital touchpoint outage.

Mobile 206

Mobile Social Media Monitoring Metrics 206

Dynatrace

NOVEMBER 2, 2022

This methodology combines software design, development, automation, operations, and analytics to boost customer experience, increase application security, and reduce downtime that affects business outcomes. Software development success no longer means just meeting project deadlines. Observability.

Software 184

Software Software Artificial Intelligence DevOps 184

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 237

Mobile Website Analytics Cache 237

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. AWS 5-pillars. Fully conceptualizing capacity requirements. Dynatrace and AWS.

AWS 141

AWS Artificial Intelligence Best Practices Lambda 141

Dynatrace

DECEMBER 2, 2021

For example, an SLA between a web host provider and customer can guarantee 99.95% uptime for all web services of a company over a year. For example, if the SLA for a website is 99.95% uptime, its corresponding SLO could be 99.95% availability of the login services. For example, if your SLO guarantees 99.5% What are SLOs?

Metrics 180

Metrics Best Practices DevOps Infrastructure 180

The Netflix TechBlog

MARCH 10, 2023

And finally, we have an Apache Iceberg layer which stores assets in a denormalized fashion to help answer heavy queries for analytics use cases. One of the first decisions when integrating with Elasticsearch is designing the indices, their settings and mappings. Net, Ruby, Perl etc.). Snippet of the index mapping Fig 4.

Strategy 258

Strategy Cache Analytics Storage 258

Dynatrace

JULY 5, 2022

For example, consider the adoption of a multicloud framework that enables companies to use best-fit clouds for important operational tasks. Like the development and design phases, these applications generate massive data volumes that offer relevant and actionable insights. For example: Greater IT staff efficiency.

Artificial Intelligence 274

Artificial Intelligence Cloud Innovation Strategy 274

The Netflix TechBlog

JANUARY 11, 2022

To directly support great decision-making throughout the company, there are a number of data science teams at Netflix that partner directly with Product Managers, engineering teams, and other business units to design, execute, and learn from experiments. Curious to learn more about other Data Science and Engineering functions at Netflix?

Innovation 243

Innovation Metrics Engineering Testing 243

The Netflix TechBlog

DECEMBER 3, 2022

And by “sample” we mean “an example”, like food samples in your local grocery store. The example business logic we use in our template computes the top hundred movies/shows in every country where Netflix operates on a daily basis. " ) COMMENT "Example dataset brought to you by Dataflow. test_sparksql_write.py

Best Practices 358

Best Practices Code Testing Data Engineering 358