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. Logs complement out-of-the-box metrics and enable automated actions for responding to availability, security, and other service events.

AWS 197

AWS Cloud Lambda Analytics 197

Adrian Cockcroft

JUNE 21, 2022

I was mostly coding in C, tuning FORTRAN, and when I needed to do a lot of data analysis of benchmark results used the S-PLUS statistics language, that is the predecessor to R. At one point we had two conflicting high availability products from different teams, who weren’t cooperating. He hasn’t changed. that a lot of people used.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Dynatrace

JANUARY 19, 2021

With our enhanced AWS Lambda extension , we bring the power of Dynatrace PurePath 4 automatic tracing technology to serverless function observability. unique capabilities of the enhanced AWS Lambda extension include: An end-to-end distributed tracing view with full visibility?across Dynatrace news. AI-powered answers, provided by?

Lambda 208

Lambda Serverless AWS Mobile 208

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

FEBRUARY 25, 2021

Since its introduction by AWS in 2014, AWS Lambda has revolutionized the compute space and boosted the entire serverless movement. This extension was built from scratch to take into account all we’ve learned and the special requirements for monitoring ephemeral, auto-scaling, micro VMs like AWS Lambda. Dynatrace news.

Lambda 218

Lambda AWS Monitoring Serverless 218

Dynatrace

JANUARY 26, 2021

Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently. Every time the trigger executes, the function runs on an available resource.

Serverless 243

Serverless Efficiency Lambda Azure 243

The Netflix TechBlog

MAY 26, 2020

Service Segmentation: The ease of the cloud deployments has led to the organic growth of multiple AWS accounts, deployment practices, interconnection practices, etc. Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching.

Network 150

Network Tuning AWS Big Data 150

Dynatrace

JANUARY 14, 2022

However, setting the right parameters for Kubernetes clusters to ensure application availability, performance, and resilience while avoiding overspending isn’t a walk in the park. Tuning thousands of parameters has become an impossible task to achieve via a manual and time-consuming approach. The Akamas approach. lower than 2%.).

Latency 203

Latency Tuning Efficiency AWS 203

Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. AI-powered automation and deep, broad observability for serverless architectures. Stay tuned for updates. Dynatrace news.

Serverless 186

Serverless Azure Lambda AWS 186

Dynatrace

MAY 1, 2020

The investment continues—we’re anticipating an upcoming release of the AWS Graviton2 processor , which has already been announced to be significantly more powerful than its predecessor. Other distributions like Debian and Fedora are available as well, in addition to other software like VMware, NGINX, Docker, and, of course, Java.

Java 133

Java Hardware Tuning Metrics 133

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. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 208

Analytics Monitoring Artificial Intelligence DevOps 208

The Netflix TechBlog

FEBRUARY 18, 2022

Motivation With the rapid growth in Netflix member base and the increasing complexity of our systems, our architecture has evolved into an asynchronous one that enables both online and offline computation. Architecture As shown in the diagram above, the RENO service can be broken down into the following components.

Systems 334

Systems Traffic Architecture Mobile 334

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 156

Analytics Technology Technology Cloud 156

The Netflix TechBlog

AUGUST 29, 2023

A brief history of IPC at Netflix Netflix was early to the cloud, particularly for large-scale companies: we began the migration in 2008, and by 2010, Netflix streaming was fully run on AWS. Since there were no existing solutions available, we needed to build them ourselves. It’s been a great experience working with you all on this.

Traffic 220

Traffic Latency Cloud C++ 220

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Dynatrace is thrilled to announce the General Availability of support for both the 2.x It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” So stay tuned!

Serverless 236

Serverless Azure Monitoring Lambda 236

The Netflix TechBlog

AUGUST 13, 2020

You’re half awake and wondering, “Is there really a problem or is this just an alert that needs tuning? Telltale learns what constitutes typical health for an application, no alert tuning required. It usually has dependencies, talks to other services, and lives in different AWS regions. By Andrei U.,

Monitoring 210

Monitoring Tuning Traffic Metrics 210

Dynatrace

FEBRUARY 9, 2021

The devil is in the detail, though because of the sheer number, breadth, and volatility of technologies used in modern architectures and the immense volume, velocity, and variety of data they produce. The Hub includes the most prominent platforms like Kubernetes and Red Hat OpenShift as well as public cloud vendors like AWS, GCP, and Azure.

Software 144

Software Software Technology Technology 144

The Netflix TechBlog

OCTOBER 27, 2020

The processed data is typically stored as data warehouse tables in AWS S3. At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns. Then the KV DAL handles writing to the appropriate underlying storage engines depending on latency, availability, cost, and durability requirements.

Latency 243

Latency Storage Big Data Tuning 243

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Dynatrace is thrilled to announce the General Availability of support for both the 2.x It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” So stay tuned!

Serverless 141

Serverless Azure Monitoring Lambda 141

The Netflix TechBlog

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Netflix TechBlog

OCTOBER 18, 2022

Meson was based on a single leader architecture with high availability. As the usage increased, we had to vertically scale the system to keep up and were approaching AWS instance type limits. Figure 1 shows the high-level architecture. The scheduler on-call has to closely monitor the system during non-business hours.

Java 202

Java Scalability Traffic Architecture 202

The Netflix TechBlog

MARCH 25, 2019

In the rest of this blog, we will a) touch on the complexity of Netflix cloud landscape, b) discuss lineage design goals, ingestion architecture and the corresponding data model, c) share the challenges we faced and the learnings we picked up along the way, and d) close it out with “what’s next” on this journey.

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

All Things Distributed

OCTOBER 8, 2014

We designed DynamoDB to operate with at least 99.999% availability. We started with Amazon Dynamo, a simple key-value store that was built to be highly available and scalable to power various mission-critical applications in Amazon’s e-commerce platform. In 2012, we launched Amazon DynamoDB, the successor to Amazon Dynamo.

Availability 145

Availability Performance Scalability AWS 145

Percona

APRIL 17, 2023

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. There is an issue with this, which causes the OS to swap even with memory available. Spoiler alert: This post focuses on MongoDB 3.6.X 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

All Things Distributed

NOVEMBER 29, 2017

Though the AWS Cloud gives you access to the storage and processing power required for ML, the process for building, training, and deploying ML models has unique challenges that often block successful use of this powerful new technology. Today, we are announcing the general availability of Amazon SageMaker.

Tuning 94

Tuning AWS Scalability Infrastructure 94

The Netflix TechBlog

DECEMBER 17, 2019

In order to be supported, a database is required to fulfill a set of features that are commonly available in systems like MySQL, PostgreSQL, MariaDB, and others. Designed with High Availability in mind. Providing high availability for real-time events. Some of DBLog’s features are: Processes captured log events in-order.

Database 212

Database Traffic Transportation Open Source 212

The Netflix TechBlog

DECEMBER 17, 2019

In order to be supported, a database is required to fulfill a set of features that are commonly available in systems like MySQL, PostgreSQL, MariaDB, and others. Designed with High Availability in mind. Providing high availability for real-time events. DBLog High Level Architecture. Supporting Relational Databases.

Database 197

Database Traffic Transportation Open Source 197

All Things Distributed

NOVEMBER 28, 2012

s architecture and underlying platform are also optimized to deliver high performance for data warehousing workloads. Redshift has a massively parallel processing (MPP) architecture, which enables it to distribute and parallelize queries across multiple low cost nodes. Amazon Redshiftâ??s Amazon Redshiftâ??s Contact Info.

Cloud 164

Cloud Storage Architecture Scalability 164

All Things Distributed

MARCH 28, 2011

What used to be only available in physical formats now often has digital equivalents and this digitalization is driving great new innovations. Cloud Drive also makes extensive use of AWS Identity and Access Management (IAM) to help ensure that objects owned by a customer can only be accessed by that customer. Order in the Chaos.

AWS 138

AWS Cloud Storage Internet 138

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

All Things Distributed

DECEMBER 12, 2013

We launched DynamoDB last year to address the need for a cloud database that provides seamless scalability, irrespective of whether you are doing ten transactions or ten million transactions, while providing rock solid durability and availability. If you need support for transactions, use the recently released transaction library.

Games 130

Games Scalability Database Retail 130

Percona

NOVEMBER 3, 2023

Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. A future blog will continue my exploration into Citus by scaling out pgbench into other architectures.

Database 106

Database Benchmarking Latency C++ 106

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. 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. Offline access.

Architecture 52

Architecture Cache Azure Storage 52