Dynatrace

MAY 23, 2024

Stream processing enables software engineers to model their applications’ business logic as high-level representations in a directed acyclic graph without explicitly defining a physical execution plan. We designed experimental scenarios inspired by chaos engineering. Chaos scenario: Random pods executing worker instances are deleted.

Engineering 174

Engineering Tuning Latency Open Source 174

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 227

Analytics Artificial Intelligence Storage Serverless 227

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. SREs and DevOps engineers need cloud logs in an integrated observability platform to monitor the whole software development lifecycle.

Cloud 245

Cloud Lambda AWS Analytics 245

DZone

NOVEMBER 27, 2023

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability.

Tuning 162

Tuning Speed Performance Open Source 162

Dynatrace

MAY 17, 2022

This gives us unified analytics views of node resources together with pod-level metrics such as container CPU throttling by node, which makes problem correlation much easier to analyze. This solution offers both maximum efficiency and adherence for the toughest privacy or compliance demands. A look to the future.

Availability 310

Availability Scalability Cloud Metrics 310

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. ” A data warehouse, on the other hand, is an efficient and fast option for querying data.

Analytics 181

Analytics Infrastructure Storage Efficiency 181

The Netflix TechBlog

MARCH 5, 2019

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. In the Efficiency space, our data teams focus on transparency and optimization.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

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. High-performance analytics—no indexing required.

Artificial Intelligence 261

Artificial Intelligence Analytics Storage Architecture 261

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. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

MARCH 29, 2023

How customers use AlloyDB for PostgreSQL As more enterprise organizations embrace cloud-native service adoption and accelerate their application modernization initiatives, the scalability of services becomes even more critical to deliver flawless and secure digital experiences.

Google 213

Google Metrics Cloud Analytics 213

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. The public cloud’s ability to scale efficiently enables ‘cloudbursting’ when demand spikes without requiring businesses to overprovision their own infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Netflix TechBlog

MARCH 7, 2019

Mathematical engineers at Netflix in particular work on the scalability and engineering of models that estimate treatment effects. For example, if we want to fit ridge regression with various different regularization strengths we can do an SVD upfront and express the full solution path very efficiently in terms of the SVD.

Design 174

Design Engineering Innovation Java 174

Dynatrace

FEBRUARY 15, 2023

But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise. All these tasks can take place seamlessly—ultimately resolving issues or identifying them proactively—and without needing to interrupt an engineer from a more strategic task.

Code 205

Code DevOps Cloud Analytics 205

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. Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

APRIL 7, 2023

Dynatrace is a launch partner in support of AWS Lambda Response Streaming , a new capability enabling customers to improve the efficiency and performance of their Lambda functions. Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications.

Lambda 209

Lambda AWS Serverless Latency 209

Dotcom-Montior

OCTOBER 6, 2021

A site reliability engineer, or SRE, is a role that that encompasses aspects of both software engineering and operations/infrastructure. The term site reliability engineering first came into existence at Google in 2003 when a site reliability team was created. At that time, the team was made up of software engineers.

Engineering 67

Engineering DevOps Monitoring Google 67

Dynatrace

FEBRUARY 16, 2023

With increased scalability, agility, and flexibility, cloud computing enables organizations to improve supply chains, deliver higher customer satisfaction, and more. You have to get automation and analytical capabilities.” Throw in behavioral analytics, metadata, and real-user data. … The benefits of the cloud are undeniable.

Artificial Intelligence 187

Artificial Intelligence Analytics Cloud Innovation 187

Scalegrid

DECEMBER 21, 2023

This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

JULY 11, 2023

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Architecture 165

Architecture Availability Infrastructure Metrics 165

Dynatrace

DECEMBER 21, 2023

Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. This computational efficiency also reduces energy consumption, which in turn reduces carbon emissions. A PUE of 1.0

Cloud 202

Cloud Energy Best Practices Cache 202

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. 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 325

Network Transportation AWS Cloud 325

Dynatrace

NOVEMBER 2, 2022

Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. According to one statistic, 76% of digital teams are responsible for delivering revenue , so software reliability and scalability are an increasing focus as these teams contribute to the bottom line.

Software 189

Software Software Artificial Intelligence DevOps 189

The Netflix TechBlog

JANUARY 10, 2024

Moving away from the use of dedicated instances that were constrained in quantity, we tapped into Netflix’s internal trough created due to autoscaling microservices, leading to significant improvements in computation elasticity as well as resource utilization efficiency. divide the input video into small chunks 2.

Processing 229

Processing Media Latency Innovation 229

The Netflix TechBlog

NOVEMBER 20, 2023

It also improves the engineering productivity by simplifying the existing pipelines and unlocking the new patterns. We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. Apache Iceberg Iceberg is a high-performance format for huge analytic tables.

Processing 210

Processing Big Data Efficiency Engineering 210

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency.

DevOps 213

DevOps Traffic Efficiency Servers 213

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. To its clients, Procella is a SQL query engine ( SQL-all-the-things ). VLDB’19. are divided.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

DECEMBER 16, 2022

AI-powered precise answers and timely insights with ad-hoc analytics. Engineering teams often gravitate toward a 100% do-it-yourself approach, which is OK for experimentation and testing. Engineering teams often gravitate toward a 100% do-it-yourself approach, which is OK for experimentation and testing. Automation at scale.

Innovation 190

Innovation Software Software Cloud 190

Dynatrace

MARCH 24, 2023

Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services. Docker Swarm First introduced in 2014 by Docker, Docker Swarm is an orchestration engine that popularized the use of containers with developers.

Infrastructure 179

Infrastructure Open Source Operating System Cloud 179

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which We needed to increase engineering productivity via distributed request tracing. That is the first question our engineering teams asked us when integrating the tracer library.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

SEPTEMBER 29, 2021

This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. Running containers : Docker Engine is a container runtime that runs in almost any environment: Mac and Windows PCs, Linux and Windows servers, the cloud, and on edge devices. What is Docker? Networking.

Open Source 295

Open Source Traffic DevOps Cloud 295

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. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store.

Latency 243

Latency Storage Big Data Tuning 243

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Sharded time-series collections for improved scalability and performance. Introduction of clustered collections for optimized analytical queries. Ready to supercharge your MongoDB experience?

Best Practices 85

Best Practices Hardware Tuning Scalability 85

Dynatrace

DECEMBER 15, 2022

While engaging the automatic instrumentation of the Dynatrace OneAgent makes log ingestion automatic and scalable , our customers have set up multiple other log ingestion methods. Fluentd is known for its flexibility and is also highly scalable, which makes it a good choice for high-volume environments.

Strategy 174

Strategy AWS Open Source Transportation 174

All Things Distributed

AUGUST 18, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud.

Big Data 111

Big Data Analytics AWS Cloud 111

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. The Dynatrace AI engine, Davis,?automatically – Robert Trueman, Head of Software Engineering at CDL. deterministic AI engine,?Davis,?to

Lambda 202

Lambda Serverless AWS Mobile 202