Dynatrace

MAY 17, 2023

OpenTelemetry , the open source observability tool, has become the go-to standard for instrumenting custom applications to collect observability telemetry data. For this third and final part of our series, we saved the best for last: How you can enhance telemetry data even more and with less effort on your end with Dynatrace OneAgent.

Metrics 163

Metrics Monitoring Database Network 163

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

The Netflix TechBlog

NOVEMBER 3, 2022

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. Active data includes jobs and tasks that are currently running. Titus Gateway handles user requests.

Cache 224

Cache Latency Traffic Systems 224

High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. Redis Server: 5.07, x86/64. MongoDB server: 4.4.2, BangDB server: 2.0.0, Load stage is to load the data and then run stage we run the test. Again Yugabyte latency is quite high. About YCSB. Beta, x86_64.

Benchmarking 308

Benchmarking Latency C++ Database 308

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. Exploring artificial intelligence in cloud computing reveals a game-changing synergy.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

High Scalability

JANUARY 11, 2022

When the server receives a request for an action (post, like etc.) from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. The streaming data store makes the system extensible to support other use-cases (e.g.

Design 334

Design Media Storage Logistics 334

High Scalability

DECEMBER 21, 2018

It's HighScalability time: Have a very scalable Xmas everyone! 1) Enterprise data centres will continue to close. Tim Bray : How to talk about [Serverless Latency] · To start with, don’t just say “I need 120ms.” See you in the New Year. Do you like this sort of Stuff? Please support me on Patreon.

Internet 137

Internet Internet Scalability Serverless 137

Dynatrace

JANUARY 17, 2024

And an O’Reilly Media survey indicated that two-thirds of survey respondents have already adopted generative AI —a form of AI that uses training data to create text, images, code, or other types of content that reflect its users’ natural language queries. AI performs frequent data transfers. AI requires more compute and storage.

Strategy 212

Strategy Artificial Intelligence Storage Cloud 212

Dynatrace

OCTOBER 10, 2022

Many organizations today rely on cloud-native applications for their scalability and agility, among other benefits. Despite the name, serverless computing still uses servers. Serverless benefits include the following: Dynamic scalability. Reduced latency. However, not all cloud strategies are the same. Cost-effectiveness.

Serverless 158

Serverless Infrastructure Lambda Latency 158

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. Determining the root cause of these issues can be difficult when the underlying “hardware” is a virtualization software stack rather than a bare-metal server. What is Microsoft Hyper-V?

Efficiency 203

Efficiency Virtualization Hardware Performance 203

High Scalability

JULY 20, 2018

Cliff Click : The JVM is very good at eliminating the cost of code abstraction, but not the cost of data abstraction. That means multiple data indirections mean multiple cache misses. It also works well to justify an acquisition of more servers to investors. They are very expensive. This is where your performance goes.

Internet 121

Internet Internet Scalability Automotive 121

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. Data loading patterns are an essential part of your application as they will determine which parts of your application are directly usable by visitors. But isn’t waiting for the data the point?

Performance 127

Performance Cache Servers Social Media 127

The Netflix TechBlog

FEBRUARY 9, 2021

Below is a visual representation of the various systems involved in retrieving plan and offer data. Moving forward, we’ll refer to the combination of plan and offer data simply as SKU (Stock Keeping Unit) data. Notice the difference in data structures from the legacy implementation.

Engineering 142

Engineering Scalability Architecture Innovation 142

The Morning Paper

NOVEMBER 15, 2020

Achieving 100 Gbps intrusion prevention on a single server , Zhao et al., Improving the efficiency with which we can coordinate work across a collection of units (see the Universal Scalability Law ). Today’s paper choice is a wonderful example of pushing the state of the art on a single server. OSDI’20.

Servers 128

Servers Hardware Latency Design 128

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. This applies to both virtual machines and container-based deployments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. Requirements In a previous blog post, we discussed Delta , a data enrichment and synchronization platform.

Database 212

Database Traffic Transportation Open Source 212

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. Requirements In a previous blog post, we discussed Delta , a data enrichment and synchronization platform.

Database 197

Database Traffic Transportation Open Source 197

Dynatrace

JUNE 8, 2020

Meeting the requirements of a tier-0 application demands the highest level of reliability and scalability, which Dynatrace enables through extensive self-monitoring and self-healing across the entire application stack down to the infrastructure level. Access your cluster health data in Dynatrace Managed.

Software 164

Software Software Programming Metrics 164

The Netflix TechBlog

MARCH 1, 2021

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. The third generation, called Reloaded , has been online for about seven years and has proven to be stable and massively scalable.

Serverless 228

Serverless Media Latency Social Media 228

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. Though the industry champions observability as a vital component, it’s become clear that teams need more than data on dashboards to overcome persistent DevOps challenges. Does it constitute a zero-day vulnerability?

DevOps 209

DevOps Traffic Efficiency Servers 209

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 167

Scalability Database Ecommerce Latency 167

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here could well be the future of data processing at Google. Because they had too many data processing systems! ;). VLDB’19. are divided.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

NOVEMBER 3, 2021

Logging provides additional data but is typically viewed in isolation of a broader system context. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. Monitoring typically provides a limited view of system data focused on individual metrics.

Monitoring 209

Monitoring Metrics DevOps Scalability 209

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Data entering a stream. What is AWS Lambda? Where does Lambda fit in the AWS ecosystem?

Lambda 173

Lambda AWS Serverless Hardware 173

IO River

NOVEMBER 2, 2023

‍A content delivery network (CDN) is a distributed network of servers strategically located across multiple geographical locations to deliver web content to end users more efficiently. CDNs cache content on edge servers distributed globally, reducing the distance between users and the content they want.‍CDNs

Architecture 52

Architecture Cache Performance Latency 52

IO River

NOVEMBER 2, 2023

A content delivery network (CDN) is a distributed network of servers strategically located across multiple geographical locations to deliver web content to end users more efficiently. RTT is the duration in milliseconds (ms) it takes for a data packet to go from a starting point to a destination and return back to the original starting point.

Architecture 52

Architecture Cache Performance Latency 52

Dynatrace

JUNE 27, 2022

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about users’ interactions with an application. RUM collects data on each user action within a session, including the time required to complete the action, so IT pros can identify patterns and where to make improvements in experience.

Best Practices 166

Best Practices Monitoring Wireless Traffic 166

Percona

MARCH 20, 2023

In this case, we have a quite well-defined scenario that can resemble the image below: In this scenario, the proxies must sit inside Pods, balancing the incoming traffic from the Service LoadBalancer connecting with the active data nodes. Let us take a look also the latency: Here the situation starts to be a little bit more complicated.

Games 119

Games Latency Traffic Cache 119

Percona

NOVEMBER 9, 2023

But for those who are not so familiar, in this post, we will discuss how Kubernetes has emerged as the unsung hero in an industry where agility and scalability are critical success factors. It is an invaluable tool for resolving complicated issues and streamlining processes due to its flexibility and scalability.

Efficiency 99

Efficiency Cloud Healthcare Open Source 99

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Some servers may need a few GBs of RAM, while others may need hundreds of GBs or even terabytes of RAM. Benchmark before you decide.

Performance 124

Performance Hardware Tuning Storage 124

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution. What is Dynamic Content?Dynamic

Cache 52

Cache Social Media Website Performance Website 52

Abhishek Tiwari

JULY 12, 2018

Building data pipelines can offer strategic advantages to the business. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines. Data pipeline initiatives are generally unfinished projects. In this post, we will discuss why you should avoid building data pipelines in first place.

Latency 63

Latency Analytics Scalability Engineering 63

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. With an on-prem data center, the organization bears the burden of securing the physical infrastructure and its digital assets. What is cloud migration?

Cloud 158

Cloud Traffic Best Practices Strategy 158

Dynatrace

SEPTEMBER 25, 2019

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace Extension: database performance as experienced by the SAP ABAP server. SAP server. Dynatrace news. Dynatrace Extension: NetScaler performance.

Latency 116

Latency Performance Virtualization Infrastructure 116

Smashing Magazine

AUGUST 3, 2023

Time To First Byte (TTFB) This is the time it takes for the first piece of information from the server to reach the user’s browser. You need to beware that slow server response times can significantly increase TTFB, often due to server overload, network issues, or un-optimized logic on the server side.

Performance 75

Performance Cache Traffic Metrics 75

All Things Distributed

SEPTEMBER 3, 2013

As we prepared to launch these features, I was struck not only by the range of services we provide to enable customers to run fully managed, scalable, high performance database workloads, including Amazon RDS , Amazon DynamoDB , Amazon Redshift and Amazon ElastiCache , but also by the pace at which these services are evolving and improving.

Cache 129

Cache Cloud Performance Retail 129

Percona

MAY 15, 2023

The main reason behind this is that MySQL is a relational database system (RDBMS), and any data that is going to be written in it must respect the RDBMS rules. In short, any data that is written must be consistent with the data present. The alternative is to split a consistent set of data into fragments. This is it.

Traffic 122

Traffic Scalability Database Servers 122