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. The data is also used by security and other partner teams for insight and incident analysis.

Network 325

Network Transportation AWS Cloud 325

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

Dynatrace

NOVEMBER 23, 2020

T o get performance insights into applications and efficiently troubleshoot and optimize them, you need precise and actionable analytics across the entire software life cycle. New OpenTelemetry metrics exporters provide the broadest language support on the market. What’s next.

Metrics 151

Metrics Open Source Tuning Analytics 151

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 225

DevOps Traffic Efficiency Servers 225

Dynatrace

APRIL 25, 2023

Observability challenges in serverless applications can be therefore categorized into: Data collection : how to collect metrics, logs and traces from serverless functions efficiently, reliably, and consistently? This makes it very easy to explore your functions’ behavior and identify impact and root cause of an anomaly.

Serverless 213

Serverless Lambda Azure AWS 213

Dynatrace

FEBRUARY 8, 2021

Putting logs into context with metrics, traces, and the broader application topology enables and improves how companies manage their cloud architectures, platforms and infrastructure, optimizing applications and remediate incidents in a highly efficient way. Leverage log analytics for additional context. What’s next.

Cloud 261

Cloud Azure Analytics AWS 261

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs).

Monitoring 209

Monitoring Social Media IoT Metrics 209

Dynatrace

SEPTEMBER 29, 2021

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. The “scheduler” determines the placement of new containers so compute resources are used most efficiently. Event logs for ad-hoc analysis and auditing.

Open Source 307

Open Source Traffic DevOps Cloud 307

Scalegrid

JANUARY 11, 2024

Continuous cloud monitoring enables real-time detection and response to incidents, with best practices highlighting the importance of assessing cloud service providers, adopting layered security, and leveraging automation for efficient scanning and monitoring.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

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 AI-powered answers, provided by?Dynatrace Dynatrace Davis AI. entire stack,?including other services,?regardless

Lambda 214

Lambda Serverless AWS Mobile 214

The Netflix TechBlog

APRIL 29, 2019

Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud. CORE The CORE team uses Python in our alerting and statistical analytical work. It serves as an entry point into any new analysis.

Open Source 279

Open Source Network Infrastructure Big Data 279

The Netflix TechBlog

MARCH 7, 2019

In the democratization of the experimentation platform we also want to allow custom analysis. 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

Dynatrace

MAY 5, 2021

Keptn closes the loop of planning, testing, deployment, and analysis in Agile-like environments with the help of quality gates defined by service- and business-level indicators. ” Data from the build process feeds impactful analytics from Davis AI to detect the precise root cause if software fails to meet specific benchmarks.

Benchmarking 188

Benchmarking Latency Speed Software 188

Dynatrace

MAY 15, 2020

But outdated security practices pose a significant barrier even to the most efficient DevOps initiatives. At this point the defensive security team gets involved, has the system shutdown and removed for forensic analysis. Today, security teams often employ SIEMs for log analytics. Showing a list of key processes.

Government 231

Government DevOps Infrastructure Network 231

The Netflix TechBlog

JULY 26, 2021

Such a paradigm aspires to assist front-line operations personnel and stakeholders in “running the business”²; performing their tasks through means such as ad hoc analysis, decision-support, and tracking (of tasks, assets, schedules, etc). Data Mesh leverages Iceberg tables as data warehouse sinks for downstream analytics use cases.

Big Data 253

Big Data Government Analytics Processing 253

Dynatrace

DECEMBER 8, 2020

Dynatrace combines RASP and observability for automatic and continuous analysis of applications, libraries, and code runtime in production and pre-production to detect, assess and manage vulnerabilities. One single platform drives efficient DevSecOps collaboration and automated vulnerability management.

Cloud 294

Cloud Open Source Internet Internet 294

O'Reilly

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

Dynatrace

DECEMBER 9, 2020

Confidence for a safe release is provided by more validation of how the changes impact quality, for example, before deploying to production or with impact analysis during blue/green deployments. This helps to perform dynamic what-if analysis with different timeframes and to look back in time.

Metrics 154

Metrics Engineering Google Monitoring 154

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

O'Reilly Software

APRIL 4, 2018

Those were the days when “connected” meant having some web presence, “interactions” were measured in number of clicks, and the analysis happened in batch overnight processes. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. At least once? At most once?

Architecture 80

Architecture Scalability Google Operating System 80

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. For permissions data, we have rearchitected that layer many times and recently we wrote a TRIE to cache this efficiently. Do you implement web analytics?

Architecture 52

Architecture Cache Azure Storage 52