Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions.

Analytics 226

Analytics Storage Retail Monitoring 226

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. When a problem occurs, we put on our detective hats and start our mystery-solving process by gathering evidence. by Elizabeth Carretto Everyone loves Unsolved Mysteries.

Latency 299

Latency Transportation Engineering Traffic 299

The Netflix TechBlog

DECEMBER 17, 2024

As Netflix expanded globally and the volume of title launches skyrocketed, the operational challenges of maintaining this manual process became undeniable. Metadata and assets must be correctly configured, data must flow seamlessly, microservices must process titles without error, and algorithms must function as intended.

Traffic 174

Traffic Scalability Strategy Monitoring 174

Dynatrace

OCTOBER 4, 2022

But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Each process could generate multiple log entries, adding up to terabytes of data every day. Traditionally, teams struggle to centralize all these data silos through the process of indexing.

Analytics 234

Analytics Storage Infrastructure Metrics 234

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 254

Latency Storage Big Data Tuning 254

Dynatrace

OCTOBER 14, 2022

OneAgent processes rules precisely in this order, with host scope rules processed before host group and tenant scope rules. If a more granular rule is present on the host level, that rule will precede any blanket rule on, for example, the tenant level. Host group. Try it out yourself.

Storage 240

Storage Government Network Monitoring 240

Dynatrace

OCTOBER 23, 2023

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. This presents a challenge for IT operations teams, specifically in identifying and addressing performance issues or planning how to prevent future issues.

Efficiency 227

Efficiency Virtualization Hardware Performance 227

The Netflix TechBlog

JUNE 13, 2023

Our previous blog post presented replay traffic testing — a crucial instrument in our toolkit that allows us to implement these transformations with precision and reliability. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.

Traffic 287

Traffic Metrics Systems Strategy 287

Dynatrace

DECEMBER 16, 2020

Track changes via our change management process. Every storage location involving data at rest is encrypted as well. The signatures are automatically verified during the update process on the customer infrastructure. The security controls presented above are audited on an annual basis by independent security assessors.

Software 246

Software Software Development AWS 246

The Netflix TechBlog

NOVEMBER 29, 2023

We present two sets. On the other hand, the optimized ladder presents a sharper increase in quality with increasing bitrate. In spite of reaching higher qualities than the fixed ladder, the HDR-DO ladder, on average, occupies only 58% of the storage space compared to fixed-bitrate ladder. The first set (Fig.

Open Source 262

Open Source Software Engineering Internet Internet 262

Dynatrace

DECEMBER 12, 2024

For executives, these directives present several challenges, including compliance complexity, resource allocation for continuous monitoring, and incident reporting. Carefully planning and integrating new processes and tools is critical to ensuring compliance without disrupting daily operations. Were challenging these preconceptions.

Analytics 214

Analytics Government Efficiency Innovation 214

Dynatrace

JANUARY 11, 2023

These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards. Website monitoring examines a cloud-hosted website’s processes, traffic, availability, and resource use. Cloud storage monitoring. Cloud monitoring types and how they work.

Cloud 233

Cloud Monitoring Best Practices Infrastructure 233

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions.

Analytics 193

Analytics Storage Retail Monitoring 193

Dynatrace

SEPTEMBER 28, 2020

I wanted to present as much information as possible. Before we dive into the technical implementation, let me explain the visual concept of this “Global Status Page”: Another requirement for this status page was that it has to be lightweight, with no data storage at all. Real-time problem visualization of lots of environments.

Storage 217

Storage Architecture Tuning Efficiency 217

The Netflix TechBlog

OCTOBER 8, 2024

However, storing and querying such data presents a unique set of challenges: High Throughput : Managing up to 10 million writes per second while maintaining high availability. Storage Layer The storage layer for TimeSeries comprises a primary data store and an optional index data store. Note : With Cassandra 4.x

Latency 242

Latency Storage Traffic Tuning 242

Dynatrace

MAY 6, 2021

Contact Dynatrace ONE if you wish to enable Cluster-side screenshot storage on pre-1.216 fresh-installed Clusters. To better present default values, we changed the position of session replay permissions in group details page. . Consumption and storage now returned correctly when using Environment API with paging. APM-290353).

Operating System 238

Operating System AWS Metrics Storage 238

Dynatrace

NOVEMBER 18, 2024

The Grail™ data lakehouse provides fast, auto-indexed, schema-on-read storage with massively parallel processing (MPP) to deliver immediate, contextualized answers from all data at scale. However, data overload and skills shortages present challenges that companies need to address to maximize the benefits of cloud and AI technologies.

Cloud 210

Cloud Azure Artificial Intelligence Innovation 210

Dynatrace

OCTOBER 9, 2024

Our partner community plays a vital role in facilitating this transition by effectively communicating the benefits of SaaS and ensuring a seamless migration process. Dynatrace SaaS presents a lower total cost of ownership (TCO), enabling customers to consolidate various tools, thereby optimizing costs and enhancing internal user experiences.

Innovation 183

Innovation Hardware Storage Cloud 183

Dynatrace

JULY 25, 2022

Building on the success of DevOps practices, GitOps is a relatively new way to manage infrastructure through code and automation, around a single Git repository (or a storage system for all the changes and files that relate to a given project). These practices can be a boon to infrastructure management, but GitOps presents challenges.

DevOps 238

DevOps Infrastructure Speed Cloud 238

Scalegrid

JANUARY 5, 2024

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. It provides tools for organizing and retrieving data efficiently.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

JANUARY 16, 2023

The immense growth of Kubernetes presents new security challenges in runtime and increased complexity in hardening CI/CD pipelines in development. Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments.

Open Source 351

Open Source Java Operating System Programming 351

Dynatrace

JUNE 9, 2023

Data volumes are growing all the time, making it harder to orchestrate, process, and analyze to turn information into insight. Data scale and silos present challenges to DevOps maturity DevOps teams often run into problems trying to drive better data-driven decisions with observability and security data. What is DevOps maturity?

DevOps 196

DevOps Analytics Storage Metrics 196

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 213

Monitoring Programming Serverless Speed 213

Dynatrace

DECEMBER 16, 2021

It’s present in major platforms from Amazon Web Services to VMware, and services large and small. The web of dependencies among affected platforms and services means patching can be a complex and possibly time-consuming process. What makes Log4Shell so dangerous is how ubiquitous the Log4j 2 library is.

Internet 263

Internet Internet Games Java 263

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 212

Monitoring Programming Serverless Speed 212

Dynatrace

SEPTEMBER 7, 2022

With Amazon Web Services, the main sources from which to ingest logs—Simple Storage Service, or S3, and CloudWatch —come with an additional cost. Processing logs is now streamlined, enabling customers to enrich log metadata with insightful context that is important for delivering pipelines to single Firehose delivery streams.

Traffic 227

Traffic AWS Network Cloud 227

Dynatrace

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. A feature that enables you to present log data in a filterable table that is easy to work with. Why Dynatrace?

AWS 229

AWS Transportation Network Traffic 229

Dynatrace

FEBRUARY 14, 2022

Among these, you can find essential elements of application and infrastructure stacks, from app gateways (like HAProxy), through app fabric (like RabbitMQ), to databases (like MongoDB) and storage systems (like NetApp, Consul, Memcached, and InfluxDB, just to name a few). Customizable dashboard. Specialized Unified Analysis page.

Technology 229

Technology Technology Metrics Infrastructure 229

Dynatrace

MAY 26, 2021

In the keynote by Christina Yakomin and Steve Prazenica from Vanguard, the presenters recounted their journey from a monolith with alert-based incident reporting and no positive health signals to an observable microservice architecture. Trace-based sampling can help you save storage costs.

AWS 224

AWS Strategy Storage Metrics 224

The Netflix TechBlog

NOVEMBER 3, 2022

In the time since it was first presented as an advanced Mesos framework, Titus has transparently evolved from being built on top of Mesos to Kubernetes, handling an ever-increasing volume of containers. This blog post presents how our current iteration of Titus deals with high API call volumes by scaling out horizontally.

Cache 235

Cache Latency Traffic Systems 235

Dynatrace

AUGUST 21, 2024

This approach enhances key DORA metrics and enables early detection of failures in the release process, allowing SREs more time for innovation. While it is powerful, it presents several challenges that affect its adoption. This blog post explores the Reliability metric , which measures modern operational practices. Why reliability?

Engineering 203

Engineering Systems Latency Metrics 203

The Netflix TechBlog

JULY 22, 2024

It supports a wide range of workflow use cases, including ETL pipelines, ML workflows, AB test pipelines, pipelines to move data between different storages, etc. This is useful if a workflow is designed to always process the latest data, such as processing the latest snapshot of an entire table each time.

Strategy 260

Strategy Scalability Code Engineering 260

Dynatrace

FEBRUARY 12, 2024

Grail handles data storage, data management, and processes data at massive speed, scale, and cost efficiency,” Singh said. Davis enables users to go deeper into the details of the underlying processes running on a particular host. An overview of the Dynatrace unified observability and security platform. This is Davis CoPilot.

Analytics 193

Analytics Artificial Intelligence Engineering Technology 193

Dynatrace

JUNE 26, 2020

Automating the process of setting up HTTP monitors can make your Ops life a lot easier, as Andreas Grabner explains in his recent blog post. Additionally, you can also query all metrics captured by an HTTP monitor to build reports and present data to various stakeholders. You can create, modify and delete HTTP monitors using the API.

Monitoring 261

Monitoring Azure AWS Traffic 261

The Netflix TechBlog

DECEMBER 3, 2019

We heard many stories about difficulties related to data access and basic data processing. Over the past two years, Metaflow has been used internally at Netflix to build and manage hundreds of data-science projects from natural language processing to operations research. both for compute and storage.

Open Source 239

Open Source AWS Infrastructure Energy 239

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. A platform approach, on the other hand, presents a more effective option for understanding observability as a whole. In this case, the best option may be to stop the process and execute it when system load is low.

Artificial Intelligence 190

Artificial Intelligence Metrics Architecture DevOps 190

The Netflix TechBlog

FEBRUARY 9, 2021

We need to be able to easily determine what imagery is present for a given platform, region, and language. This requires an asset storage solution. Asset Storage We refer to asset storage and management simply as asset management. The UI can then use these fields to control the presentation in the UI layer.

Engineering 174

Engineering Storage Latency Entertainment 174