Scalegrid

JANUARY 19, 2024

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. Understanding how to address a rollback is critical for minimizing potential data loss and maintaining seamless operations. With direct, actionable insights, prepare to navigate the complexities of rollbacks with confidence.

Database 130

Database Network Servers Monitoring 130

The Netflix TechBlog

MARCH 5, 2024

Reduced tail latencies In both our GRPC and DGS Framework services, GC pauses are a significant source of tail latencies. For a given CPU utilization target, ZGC improves both average and P99 latencies with equal or better CPU utilization when compared to G1.

Latency 228

Latency Java Tuning Efficiency 228

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. On the other hand, these optimizations themselves need to be sufficiently inexpensive to justify their own processing cost over the gains they bring.

Storage 203

Storage Latency Efficiency Data Engineering 203

DZone

AUGUST 16, 2023

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing.

Cache 246

Cache Scalability Performance Latency 246

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 176

Metrics Monitoring Database Network 176

Dynatrace

DECEMBER 27, 2022

When organizations implement SLOs, they can improve software development processes and application performance. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. SLOs improve software quality.

Software 269

Software Software Benchmarking Latency 269

Dynatrace

FEBRUARY 21, 2024

Open vulnerability on process group: The total number of currently high-profile vulnerabilities related to a process group. Vulnerability score: The highest vulnerability risk score for a process group. This way, the travel agency can easily streamline, organize, and consolidate their quality gates and metric evaluation process.

Speed 212

Speed Software Software Latency 212

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. cell): Titus Job Coordinator is a leader elected process managing the active state of the system.

Cache 224

Cache Latency Traffic Systems 224

Dynatrace

MAY 31, 2023

Keeping pace with modern digital transformation requires ensuring that applications are responsive, resilient, and always available amid increased complexity. Maintaining reliable uptime and consistent service quality has become more complex as organizations expand their computing footprints across multiple data centers and in the cloud.

Best Practices 228

Best Practices DevOps Latency Metrics 228

Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. These essential data points heavily influence both stability and efficiency within the system.

Metrics 130

Metrics Monitoring Latency Cache 130

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

SEPTEMBER 23, 2020

Recent improvements in OneAgent runtime-data handling. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. As a consequence, the automatic updates as well as the automatic deep-code monitoring injection processes are even more stable. See details below.

Storage 150

Storage Latency Operating System Network 150

Scalegrid

NOVEMBER 25, 2019

ScyllaDB is an open-source distributed NoSQL data store, reimplemented from the popular Apache Cassandra database. ScyllaDB offers significantly lower latency which allows you to process a high volume of data with minimal delay. percentile latency is up to 11X better than Cassandra on AWS EC2 bare metal.

Big Data 187

Big Data Database Open Source Azure 187

The Netflix TechBlog

MAY 4, 2023

It can happen on an edge API system servicing customer devices, between the edge and mid-tier services, or from mid-tiers to data stores. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

AUGUST 25, 2023

These signals ( latency, traffic, errors, and saturation ) provide a solid means of proactively monitoring operative systems via SLOs and tracking business success. SLOs, as a measure of service quality, can track the related availability, reliability, and performance. This is what Dynatrace captures as response time.

Performance 179

Performance Latency Traffic Metrics 179

The Netflix TechBlog

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226

Systems Media Cache Open Source 226

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]. This motivated the development of DBLog , which offers log and dump processing under a generic framework.

Database 212

Database Traffic Transportation Open Source 212

Dynatrace

JUNE 1, 2023

These organizations rely heavily on performance, availability, and user satisfaction to drive sales and retain customers. Availability Availability SLO quantifies the expected level of service availability over a specific time period. Availability is typically expressed in 9’s, such as 99.9%. or 99.99% of the time.

Latency 182

Latency Website Traffic Virtualization 182

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Modularity and flexibility.

Big Data 154

Big Data Processing Lambda Database 154

CSS Wizardry

OCTOBER 16, 2023

In this post, I’m going to break these processes down into each of: ? What is the availability, configurability, and efficacy of each? Plotted on the same horizontal axis of 1.6s, the waterfalls speak for themselves: 201ms of cumulative latency; 109ms of cumulative download. Read the complete test methodology. It gets worse.

Cache 291

Cache Latency Strategy Speed 291

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]. This motivated the development of DBLog , which offers log and dump processing under a generic framework.

Database 197

Database Traffic Transportation Open Source 197

Dynatrace

APRIL 7, 2023

Now, customers can use streamed responses to build more responsive applications by sending partial responses to clients as the response becomes available. Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Return larger payload sizes.

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 209

Cache Azure Infrastructure Monitoring 209

Dynatrace

JUNE 1, 2023

These organizations rely heavily on performance, availability, and user satisfaction to drive sales and retain customers. Availability Availability SLO quantifies the expected level of service availability over a specific time period. Availability is typically expressed in 9’s, such as 99.9%. or 99.99% of the time.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

FEBRUARY 15, 2023

Streamline development and delivery processes Nowadays, digital transformation strategies are executed by almost every organization across all industries. SREs use Service-Level Indicators (SLI) to see the complete picture of service availability, latency, performance, and capacity across various systems, especially revenue-critical systems.

DevOps 224

DevOps Latency Traffic Best Practices 224

Dynatrace

SEPTEMBER 13, 2023

These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 252

AWS Efficiency Azure Cloud 252

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. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

JUNE 4, 2020

Compare Latency. lower latency compared to DigitalOcean for PostgreSQL. Now, let’s take a look at the throughput and latency performance of our comparison. We measure PostgreSQL throughput in terms of transactions processed. Latency is the average transaction execution time of your PostgreSQL data.

Database 230

Database Latency Benchmarking Performance 230

Dynatrace

MAY 13, 2022

Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance. From there, you can dive deeper into infrastructure metrics (cluster, datacenter, racks, and nodes) and data metrics (keyspaces and tables).

Azure 239

Azure Latency Metrics Infrastructure 239

Dynatrace

MARCH 16, 2023

Monitors signals The first attribute of a good SLO is the ability to monitor the four “golden signals”: latency, traffic, error rates, and resource saturation. Includes the end user While SLOs for back-end silos and processes help eliminate internal issues, back-end-based objectives tell only half the story.

DevOps 220

DevOps Latency Metrics Traffic 220

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. That’s a large amount of data to handle. This creates a lot of complexity given different data sources, components, and tools. of Micrometer.

Metrics 213

Metrics Latency Java Cache 213

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. Therefore, we have redesigned this extension from scratch, replacing the previously available WMI-based extension. What is Microsoft Hyper-V? We’re always looking for feedback and opportunities to improve.

Efficiency 220

Efficiency Virtualization Hardware Performance 220

The Netflix TechBlog

JUNE 13, 2023

Replay traffic testing gives us the initial foundation of validation, but as our migration process unfolds, we are met with the need for a carefully controlled migration process. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

JUNE 7, 2023

Advanced AI applications using OpenAI services don’t just forward user input to OpenAI models; they also require client-side pre- and post-processing. It shows critical SLOs for latency and availability, as well as the most important OpenAI generative AI service metrics, such as response time, error count, and the overall number of requests.

Monitoring 168

Monitoring Latency Metrics Azure 168

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

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 centralized data model that had served us well when we were a small team became a liability.

Serverless 228

Serverless Media Latency Social Media 228

Percona

NOVEMBER 3, 2023

When it comes to Citus, successfully building out and scaling a PostgreSQL cluster across multiple nodes and even across data centers can feel, at times, to be an art form because there are so many ways of building it out. The following invocation generates almost 4GB of data.

Database 102

Database Benchmarking Latency C++ 102