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 83

Best Practices Hardware Tuning Scalability 83

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. Taken together, these features enable organizations to build software that is more scalable, reliable, and flexible than traditionally built software.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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 221

DevOps Traffic Efficiency Servers 221

Dynatrace

SEPTEMBER 29, 2021

This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. What is Docker? Networking.

Open Source 302

Open Source Traffic DevOps Cloud 302

The Netflix TechBlog

OCTOBER 19, 2020

We earned the trust of our engineers by developing empathy for their operational burden and by focusing on providing efficient tracer library integrations in runtime environments. An additional implication of a lenient sampling policy is the need for scalable stream processing and storage infrastructure fleets to handle increased data volume.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

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

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 76

Open Source Healthcare Social Media Database 76

IO River

NOVEMBER 2, 2023

With the ever-growing demands of the internet, websites and web applications face the challenge of delivering content swiftly and efficiently to users worldwide. They route traffic from the CDN to the origin tier, ensuring that user requests are efficiently directed to the best source. That’s where rules come in.

Traffic 52

Traffic Cache Servers Latency 52

Dynatrace

DECEMBER 8, 2020

It inherits the automation, AI, scalability, and enterprise-grade robustness of the Dynatrace platform. With new RASP capabilities of the Dynatrace OneAgent, the same trusted approach extends the Dynatrace platform to application security: automatic, intelligent, highly scalable. Stay tuned – this is only the start.

Cloud 290

Cloud Open Source Internet Internet 290

IO River

NOVEMBER 2, 2023

With the ever-growing demands of the internet, websites and web applications face the challenge of delivering content swiftly and efficiently to users worldwide. Just like how a traffic cop ensures cars flow smoothly at an intersection, a Load Balancer makes sure data moves efficiently across the network. That’s where rules come in.

Traffic 40

Traffic Cache Network Servers 40

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

Dynatrace

DECEMBER 9, 2020

We’re happy to announce that Dynatrace now provides guidance and templates for setting up Service-Level Objectives (SLOs) with the right metrics, gives you all the facts, and combines this with the powerful analytics of problem root-cause detection. Read more: Google’s definition of the term Site Reliability Engineering.

Metrics 151

Metrics Engineering Google Monitoring 151

O'Reilly Software

APRIL 4, 2018

The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. A message-oriented implementation requires an efficient messaging backbone that facilitates the exchange of data in a reliable and secure way with the lowest latency possible. At least once? At most once?

Architecture 80

Architecture Scalability Google Operating System 80

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node).

Database 40

Database Analytics Blockchain Healthcare 40

HammerDB

FEBRUARY 25, 2021

However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database. For the TPROC-H workload this is all we need the queries are long-running analytics queries so once executed on the database do not need to wait for the benchmarking client.

Programming 67

Programming Benchmarking Virtualization C++ 67

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

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. depending on the use case.

Processing 229

Processing Media Latency Innovation 229

The Netflix TechBlog

NOVEMBER 20, 2023

We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. past 3 hours or 10 days).

Processing 210

Processing Big Data Efficiency Engineering 210

The Netflix TechBlog

MARCH 7, 2019

Mathematical engineers at Netflix in particular work on the scalability and engineering of models that estimate treatment effects. Performance can be tackled from at least three angles: A) Efficient computation We should leverage the structure of the data and of the problem as much as possible to identify the optimal compute strategy.

Engineering 174

Engineering Design Innovation Java 174

High Scalability

NOVEMBER 25, 2019

Version7 (Future): Move all compute to the public cloud, carve out more services for impact isolation, dynamic resource pooling to manage pets and cattle efficiently. We had used other databases like Berkeley DB, Lucene, Cassandra in past but we migrated over time all of them to MySQL because of its engineer/ops familiarity and scalability.

Architecture 52

Architecture Cache Azure Storage 52