Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 187

Analytics Infrastructure Storage Efficiency 187

Dynatrace

JUNE 27, 2023

The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services. Dynatrace Log Management and Analytics powered by Grail enables you to get answers from logs with any query at any time.

AWS 198

AWS Cloud Lambda Analytics 198

The Netflix TechBlog

JUNE 7, 2021

Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the cloud network infrastructure to address the identified problems. After several iterations of the architecture and some tuning, the solution has proven to be able to scale. What is BPF?

Network 325

Network Transportation AWS Cloud 325

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools.

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

DECEMBER 9, 2020

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces. Dynatrace news. Deep-code execution details. What’s next?

Java 233

Java Traffic Strategy Architecture 233

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. Fully conceptualizing capacity requirements. through our AWS integrations and monitoring support.

AWS 144

AWS Artificial Intelligence Best Practices Lambda 144

Dynatrace

JULY 6, 2022

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. By tuning workflows, you can increase their efficiency and effectiveness.

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

Dynatrace

JANUARY 4, 2024

This context switching makes it hard for teams to effectively connect the dots when it comes to integrating the service-specific insights with surrounding architecture components such as service-mesh data. Specifically, teams must jump from tool to tool and page to page to extract the benefits of all the signals OpenTelemetry collects.

Metrics 167

Metrics Open Source Tuning Infrastructure 167

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Simplify error analytics. Understand and optimize your architecture. So stay tuned!

Serverless 236

Serverless Azure Monitoring Lambda 236

The Netflix TechBlog

JANUARY 13, 2022

Batch Pensive Batch Pensive Architecture Batch workflows in the data platform run using a Scheduler service that launches containers on the Netflix container management platform called Titus to run workflow steps. One example where it can dramatically help is Spark jobs, where memory tuning is a significant challenge.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Simplify error analytics. Understand and optimize your architecture. So stay tuned!

Serverless 141

Serverless Azure Monitoring Lambda 141

Dynatrace

FEBRUARY 1, 2020

Modern web applications rely heavily on Content Delivery Networks (CDNs) and 3rd-party integrations (for example, web analytics, tag managers, chat bots, A/B testing tools, ad providers, and more). Stay tuned for Part 2. Dynatrace news.

Tuning 186

Tuning Monitoring Network Best Practices 186

Dynatrace

JANUARY 19, 2021

Actionable analytics across the?entire Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. Actionable analytics across the?entire From here you can use Dynatrace analytics capabilities to understand the response time?and

Lambda 209

Lambda Serverless AWS Mobile 209

Dynatrace

JUNE 9, 2021

Especially as software development continually evolves using microservices, containerized architecture, distributed multicloud platforms, and open-source code. Positive filters are highly effective at blocking attacks but require constant tuning. And open-source software is rife with vulnerabilities.

Open Source 181

Open Source Entertainment Tuning Internet 181

Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. Dynatrace news. These trends also help you adjust business objectives and SLAs. SLO best practices.

Metrics 191

Metrics Best Practices DevOps Infrastructure 191

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. This includes servers, applications, software platforms, and websites.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting. PostgreSQL is open source relational database management software. What is PostgreSQL used for?

Open Source 79

Open Source Healthcare Social Media Database 79

Percona

MAY 8, 2023

” To answer this question, you would have had to search by ID in a few places and be familiar with PMM’s internal architecture. Quick access to other sections To simplify access to related sections under Monitoring, we’ve also added links to the Service Overview Dashboard and Query Analytics. Stay tuned!

Monitoring 78

Monitoring Database Metrics Tuning 78

IO River

NOVEMBER 15, 2023

Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture. Configuring and Maintaining WAF on a Multi-CDN‍Multi-CDN architectures, the double-edged swords. You'll have logs and analytics scattered across different CDNs. Let's dive deep into these challenges.‍1.

Traffic 52

Traffic Network Logistics Architecture 52

Dynatrace

MAY 15, 2020

Utilizing the automatic dependency mapping functionality of the Dynatrace OneAgent, DevSecOps and SecOps teams gain real-time visibility into application and infrastructure architectures. Today, security teams often employ SIEMs for log analytics.

Government 225

Government DevOps Infrastructure Network 225

IO River

NOVEMBER 2, 2023

Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture. Configuring and Maintaining WAF on a Multi-CDN‍Multi-CDN architectures, the double-edged swords. You'll have logs and analytics scattered across different CDNs. Let's dive deep into these challenges.‍1.

Traffic 40

Traffic Network Logistics Architecture 40

Dynatrace

DECEMBER 8, 2020

It identifies the biggest security problems and avoids your team chasing false positives by combining two unique technologies: PurePath distributed tracing and Smartscape , the automatically generated real-time topology map of all components of your containerized microservice architecture, including their interdependencies.

Cloud 290

Cloud Open Source Internet Internet 290

Rigor

JANUARY 13, 2020

Information Architecture. Web Performance Tuning. This book from 2002 is a brilliant must read: site architecture, security, reliability, and their impact on performance. This practical guide shows users how run tests & interpret results to gain a better and more thorough understanding of hidden features in WebPageTest.

Performance 75

Performance Social Media Website Website Performance 75

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0, At least once?

Architecture 80

Architecture Scalability Google Operating System 80

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. If tuned for performance, there is a good change reliability is compromised - and vice versa. Building data pipelines can offer strategic advantages to the business.

Latency 63

Latency Analytics Scalability Engineering 63

Percona

AUGUST 30, 2018

To look at timing information from query point of view, we want to look at query analytics. As I mentioned already, the counts often do not reflect the time to respond, which is typically more representative of the real work being done. Looking at this list we can see that three out of top five queries are SELECT queries.

Benchmarking 47

Benchmarking Database Operating System Architecture 47

The Netflix TechBlog

MAY 26, 2020

Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the Cloud Network Infrastructure to address the identified problems. It is easier to tune a large Spark job for a consistent volume of data. So how do we ingest all these s3 files? We named this library Sqooby.

Network 150

Network Tuning AWS Big Data 150

SQL Server According to Bob

FEBRUARY 15, 2018

Best practices on Building a Big Data Analytics Solution – Michael Rys. Friday Sessions: SQL Intelligence excels your tuning and security expertise – Veljko Vasic, Ron Matchoro and Frans Lytzen. If anything just come to see me explain the architecture which is an amazing innovative piece of software.

Engineering 40

Engineering Azure Best Practices Servers 40

The Netflix TechBlog

JULY 26, 2021

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. Data Mesh leverages Iceberg tables as data warehouse sinks for downstream analytics use cases.

Big Data 253

Big Data Government Analytics Processing 253

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. Several promising ideas were abandoned owing to the outsized work needed to overcome architectural limitations. The microservice architecture provides strong decoupling between services. depending on the use case.

Processing 229

Processing Media Latency Innovation 229

HammerDB

OCTOBER 12, 2018

Finally it is also important to note that this comparison is focused around OLTP based workloads, HammerDB also supports a TPC-H based workload for analytics with complex ad-hoc queries. Traditionally MySQL has not supported such workloads however features such as columnstore in MariaDB now make this possible. . innodb_file_per_table.

Best Practices 40

Best Practices Scalability Performance C++ 40

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns.

Latency 243

Latency Storage Big Data Tuning 243

The Netflix TechBlog

NOVEMBER 20, 2023

Apache Iceberg Iceberg is a high-performance format for huge analytic tables. We are taking Big Data Orchestration to the next level and constantly solving new problems and challenges, please stay tuned. It is seamlessly integrated into the whole Maestro ecosystem with minimal onboarding cost.

Processing 210

Processing Big Data Efficiency Engineering 210

All Things Distributed

MARCH 28, 2011

We see that with our Amazon customers; when they hear a great tune on a radio they may identify it using the Shazam or Soundhound apps on their mobile phone and buy that song instantly from the Amazon MP3 store. Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region.

AWS 138

AWS Cloud Storage Internet 138

High Scalability

NOVEMBER 25, 2019

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. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Edge caching.

Architecture 52

Architecture Cache Azure Storage 52