Dynatrace

MARCH 6, 2024

In fact, 81% of technology leaders say the effort their teams invest in maintaining monitoring tools and preparing data for analysis steals time from innovation. Kubernetes architectures make it easier to quickly scale services to new users and drive efficiency gains through dynamic resource provisioning.

Analytics 196

Analytics Innovation Strategy Storage 196

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. 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. The majority of costs are associated with data querying.

Retail 242

Retail Storage Best Practices Architecture 242

Dynatrace

JANUARY 4, 2024

It uses fault-tree analysis to identify the component events that cause outcomes at a higher level. Causal AI applies a deterministic approach to anomaly detection and root-cause analysis that yields precise, continuous, and actionable insights in real time. That’s where causal AI can help.

Government 205

Government Analytics Benchmarking Storage 205

Dynatrace

OCTOBER 4, 2022

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. This decoupling ensures the openness of data and storage formats, while also preserving data in context.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. What is a data lakehouse? How does a data lakehouse work? Data management.

Artificial Intelligence 214

Artificial Intelligence Storage Analytics Government 214

Dynatrace

OCTOBER 7, 2021

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

Serverless 286

Serverless AWS Lambda Storage 286

Dynatrace

OCTOBER 4, 2022

Further, these resources support countless Kubernetes clusters and Java-based architectures. In most data storage models, indexing engines enable faster access to query logs. But indexing requires schema management and additional storage to be effective, which adds cost and overhead. Cost-effective architecture.

Analytics 226

Analytics Storage Infrastructure Metrics 226

The Netflix TechBlog

SEPTEMBER 24, 2021

Table 1: Movie and File Size Examples Initial Architecture A simplified view of our initial cloud video processing pipeline is illustrated in the following diagram. Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances.

Cloud 237

Cloud Media Storage Cache 237

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. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. 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.

Analytics 196

Analytics Software Software Storage 196

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up.

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

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. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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. “Logging” is the practice of generating and storing logs for later analysis. Dynatrace news. billion in 2020 to $4.1 What are logs?

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

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. If you don’t have insight into the software and services that operate your business, you can’t efficiently run your business. Minimizes downtime and increases efficiency.

Infrastructure 206

Infrastructure Monitoring Virtualization Serverless 206

Dynatrace

AUGUST 21, 2023

By doing so, they can improve efficiency, reduce costs, and deliver better customer experiences. Additionally, a unified log management solution can help to automate many of the tasks associated with log management, such as correlation and analysis.

Analytics 147

Analytics Innovation Infrastructure Scalability 147

Dynatrace

JANUARY 11, 2023

Cloud monitoring tools unify data from applications and dependent resources across distributed channels to achieve the following: better detect anomalies; perform root-cause analysis; and. Cloud storage monitoring. predict and prevent security breaches and outages. Virtual machine (VM) monitoring.

Cloud 227

Cloud Monitoring Best Practices Infrastructure 227

Dynatrace

OCTOBER 14, 2022

This contextualization of log data enables AI-powered problem detection and root cause analysis at scale. All this is easier said than done because: Kubernetes-based dynamic architecture is becoming the norm. The key to 360-degree observability is acquiring the right data at the right time from the right places. Try it out yourself.

Storage 232

Storage Government Network Infrastructure 232

All Things Distributed

JUNE 10, 2016

If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. Mobile Backend Serverless Reference Architecture. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 107

Lambda Serverless AWS Architecture 107

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. You’re getting all the architectural benefits of Grail—the petabytes, the cardinality—with this implementation,” including the three pillars of observability: logs, metrics, and traces in context.

Analytics 191

Analytics Innovation Metrics Database 191

All Things Distributed

MAY 10, 2016

If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. Mobile Backend Serverless Reference Architecture. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 105

Lambda Serverless AWS Architecture 105

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. Adding application security to development and operations workflows increases efficiency. ITOps relies on manual correlations and dashboards for analysis.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

FEBRUARY 15, 2023

Therefore, teams need a unified, intuitive approach to data aggregation and analysis. Further, it presents data in intuitive, user-friendly ways to enable data gathering, analysis, and collaboration among far-flung teams. Four factors limit the quality and trustworthiness of traditional approaches to cloud monitoring.

Analytics 130

Analytics Storage Cloud DevOps 130

The Netflix TechBlog

JUNE 13, 2023

A/B testing is also a key technique in migrations where the updates to the architecture involve changing device contracts as well. This approach enables test allocation restrictions based on factors such as geography, device platforms, and device versions, while also allowing for analysis of migration metrics across similar dimensions.

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

MAY 26, 2021

In the keynote by Christina Yakomin and Steve Prazenica from Vanguard, the presenters recounted their journey from a monolith with alert-based incident reporting and no positive health signals to an observable microservice architecture. Trace-based sampling can help you save storage costs. We second that.

AWS 218

AWS Strategy Storage Metrics 218

Dynatrace

DECEMBER 15, 2022

In this blog, we share three log ingestion strategies from the field that demonstrate how building up efficient log collection can be environment-agnostic by using our generic log ingestion application programming interface (API). In the “Storage and Logging” section, select “ awsfirelens ” as the log driver.

Strategy 185

Strategy AWS Open Source Transportation 185

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. While this abundance of dashboards and information is by no means unique to Netflix, it certainly holds true within our microservices architecture. What is Edgar?

Latency 296

Latency Transportation Engineering Traffic 296

Dynatrace

NOVEMBER 10, 2020

These capabilities enable deeper insights into all areas of GCP environments, which in turn allows businesses to quickly troubleshoot performance issues, optimize container workloads, and efficiently scale cloud operations. Google Cloud Storage. AI-powered root cause analysis and contextual information for even faster MTTR.

Google 226

Google Cloud Serverless Innovation 226

Dynatrace

MAY 26, 2021

In the keynote by Christina Yakomin and Steve Prazenica from Vanguard, the presenters recounted their journey from a monolith with alert-based incident reporting and no positive health signals to an observable microservice architecture. Trace-based sampling can help you save storage costs. We second that.

AWS 147

AWS Strategy Storage Metrics 147

Dynatrace

JUNE 8, 2021

You’ll learn how to create production SLOs, to continuously improve the performance of services, and I’ll guide you on how to become a champion of your sport by: Creating calculated metrics with the help of multidimensional analysis. The Multi-Dimensional analysis will allow you to extract all types of metrics to detect this.

Metrics 170

Metrics Tuning Programming Systems 170

Adrian Cockcroft

NOVEMBER 26, 2023

The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. This includes providing the efficient, resilient services AWS customers expect, while minimizing their environmental footprint.

AWS 52

AWS Energy IoT Best Practices 52

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. 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.

IoT 78

IoT Analytics Big Data Architecture 78

The Netflix TechBlog

NOVEMBER 2, 2021

The Reloaded system is a well-matured and scalable system, but its monolithic architecture can slow down rapid innovation. Video quality has matured in Cosmos and we are invested in making VQS more flexible and efficient. More importantly, within Reloaded, video quality measurements are generated together with video encoding.

Media 171

Media Innovation Metrics Latency 171

Percona

JUNE 22, 2023

When planning your database HA architecture, the size of your company is a great place to start to assess your needs. This base architecture keeps the database available for your applications in case the primary node goes down, whether that involves automatic failover in case of a disaster or planned switchover during a maintenance window.

Availability 105

Availability Database Open Source Hardware 105

Percona

MARCH 30, 2023

This comprehensive overview examines open source database architecture, types, pros and cons, uses by industry, and how open source databases compare with proprietary databases. Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing.

Open Source 73

Open Source Database Storage Scalability 73

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52

ACM Sigarch

DECEMBER 6, 2018

To foster research in these categories, we provide an overview of each of these categories to understand the implications on workload analysis and HW/SW architecture research. Architectural research in these areas remains traditionally focused on the analysis of object detection and recognition algorithms (e.g.

Wireless 54

Wireless IoT Analytics Architecture 54