Dynatrace

NOVEMBER 30, 2022

Complexity and data volume for IT infrastructure soars to new heights. The volume of data and events grows in tandem with the rising complexity of IT infrastructure. Monitoring modern IT infrastructure is difficult, sometimes impossible, without advanced network monitoring tools. How SNMP traps help detect problems.

Network 234

Network Infrastructure Metrics Monitoring 234

Dynatrace

JULY 15, 2024

Why browser and HTTP monitors might not be sufficient In modern IT environments, which are complex and dynamically changing, you often need deeper insights into the Transport or Network layers. Is it a bug in the codebase, a malfunctioning backend service, an overloaded hosting infrastructure, or perhaps a misconfigured network?

Availability 242

Availability Network Monitoring Infrastructure 242

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. We expect complete and accurate data at the end of each run.

Data Engineering 273

Data Engineering Engineering Processing Games 273

The Netflix TechBlog

APRIL 20, 2020

How Netflix brings safer and faster streaming experience to the living room on crowded networks using TLS 1.3 We want playback to start instantly and to never stop unexpectedly in any network environment. Confidentiality: Data sent over the channel is only visible to the endpoints. Authenticated Encryption For encryption, TLS 1.3

Network 247

Network Media Transportation Traffic 247

The Netflix TechBlog

SEPTEMBER 18, 2024

Second, developers had to constantly re-learn new data modeling practices and common yet critical data access patterns. To overcome these challenges, we developed a holistic approach that builds upon our Data Gateway Platform. Data Model At its core, the KV abstraction is built around a two-level map architecture.

Latency 254

Latency Storage Cache Efficiency 254

Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. With Dynatrace actively managing business-critical applications, some of our globally distributed enterprise customers require Dynatrace Managed to continue operating even when an entire data center goes down. Minimized cross-data center network traffic.

Availability 256

Availability Hardware Latency Traffic 256

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. As cloud complexity grows, it brings more volume, velocity, and variety of log data. When trying to address this challenge, your cloud architects will likely choose Amazon Data Firehose.

Cloud 263

Cloud Lambda AWS Analytics 263

DZone

FEBRUARY 8, 2022

Quality metrics contain: The ratio of successfully processed requests. Distribution of processing time between requests. Any service provider tries to reach several metrics in their activity. One group of these metrics is service quality. Number of requests dependent curves.

Network 246

Network Hardware Metrics Processing 246

Dynatrace

FEBRUARY 28, 2024

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices.

Analytics 222

Analytics Metrics Media Monitoring 222

Dynatrace

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. This contextualization of log data enables AI-powered problem detection and root cause analysis at scale. Dynamic landscape and data handling requirements result in manual work.

Storage 240

Storage Government Network Monitoring 240

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 214

Storage Latency Efficiency Data Engineering 214

Dynatrace

SEPTEMBER 7, 2022

Dynatrace and the Dynatrace Intelligent Observability Platform have added support for the newly introduced Amazon VPC Flow Logs to Amazon Kinesis Data Firehose. This support enables customers to define specific endpoint delivery of real-time streaming data to platforms such as Dynatrace. What is VPC Flow Logs? Why Dynatrace?

Traffic 227

Traffic AWS Network Cloud 227

Dynatrace

OCTOBER 16, 2024

When we launched the new Dynatrace experience, we introduced major updates to the platform, including Grail ™, our innovative data lakehouse unifying observability, security, and business data, and Dynatrace Query Language ( DQL ) for accessing and exploring unified data.

Social Media 205

Social Media Metrics Network Analytics 205

Dynatrace

AUGUST 29, 2024

In today’s data-driven world, businesses across various industry verticals increasingly leverage the Internet of Things (IoT) to drive efficiency and innovation. Both methods allow you to ingest and process raw data and metrics. The ADS-B protocol differs significantly from web technologies.

IoT 223

IoT Analytics Transportation Metrics 223

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA automates repetitive cloud operations tasks and streamlines the flow of analytics into decision-making processes.

Analytics 201

Analytics Artificial Intelligence Big Data Open Source 201

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 242

Latency Storage Traffic Tuning 242

DZone

MARCH 27, 2023

Apache Spark is an open-source distributed computing system designed for large-scale data processing. Spark provides a unified framework for processing and analyzing large datasets across distributed computing clusters.

Network 189

Network Open Source Programming Design 189

Dynatrace

MARCH 5, 2021

In today’s complex IT environments, the sheer volume of data created makes it impossible for humans to monitor, comprehend, or troubleshoot problems before they impact the experience of your end users. Still, you might have use cases that rely on important custom data streams. Now you can: Alert on the outage of a custom data source.

Metrics 224

Metrics Network Monitoring Infrastructure 224

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. After that, the various services (e.g.

Design 334

Design Media Storage Logistics 334

Dynatrace

MARCH 27, 2024

This is the ability to see into and measure the current state of a system based on the data it generates, which typically includes logs, metrics, traces, end-user experiences, and context across cloud, multi-cloud, and hybrid environments. This blog originally appeared in Federal News Network. First, let’s discuss observability.

Government 168

Government Network Artificial Intelligence Cloud 168

Dynatrace

AUGUST 8, 2024

It’s also critical to have a strategy in place to address these outages, including both documented remediation processes and an observability platform to help you proactively identify and resolve issues to minimize customer and business impact. This can result from improperly configured backups, corrupted data, or insufficient testing.

Software 260

Software Software Infrastructure Network 260

Dynatrace

FEBRUARY 2, 2022

Additional benefits of Dynatrace SaaS on Azure include: No infrastructure investment : Dynatrace manages the infrastructure for you, including automatic visibility, problem detection, and smart alerting across virtual networks, virtual infrastructure, and container orchestration.

Azure 324

Azure Availability Hardware Innovation 324

Dynatrace

AUGUST 10, 2021

This year’s conference agenda was packed full of choices, including: Keynotes : Topics included accelerating digital transformation, with Dynatrace CIO Mike Maciag, and Spatial Collapse: The Great Acceleration of Turning Data Into an Asset, with Tricia Wang from Sudden Compass. We’ve all heard it: data is one of your biggest assets.

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

APRIL 13, 2023

The massive volumes of log data associated with a breach have made cybersecurity forensics a complicated, costly problem to solve. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Java 198

Java Analytics Infrastructure Cloud 198

Dynatrace

OCTOBER 17, 2024

The newly introduced Network devices and Details view within Hosts provide comprehensive health status information, relevant networking signals, and machine metrics—all analyzed and provided by the industry-leading combination of Dynatrace Grail™ data lakehouse and Davis ® AI.

Infrastructure 217

Infrastructure Network DevOps Metrics 217

DZone

MARCH 7, 2023

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. Broadcast variables can be used to efficiently distribute large read-only data structures, such as lookup tables, to worker nodes. For example, to broadcast a lookup table named lookup_table :

Big Data 173

Big Data Code Tuning Open Source 173

Scalegrid

AUGUST 22, 2019

This section contains the PostgreSQL-specific parameters like authentication, directory paths for data, binary and config, listen ip address etc. All of these tests were performed while the application was running and inserting data to the PostgreSQL database. Kill the PostgreSQL process. Stop the PostgreSQL process.

Availability 277

Availability Servers Network Testing 277

DZone

JUNE 6, 2023

When building an IoT-based service, we need to implement a messaging mechanism that transmits data collected by the IoT devices to a hub or a server. When dealing with IoT, one of the first things that come to mind is the limited processing, networking, and storage capabilities these devices operate with.

IoT 305

IoT Tuning Storage Network 305

Dynatrace

SEPTEMBER 5, 2024

Understanding that the first mile of getting data in can often be the hardest, Dynatrace continues to invest in log ingest, offering a range of out-of-the-box solutions within the Dynatrace Platform and apps. Native support for syslog messages extends our infrastructure log support to all Linux/Unix systems and network devices.

Innovation 273

Innovation AWS Analytics Storage 273

DZone

JULY 31, 2024

My name is Maksim Kupriianov, and for the past few years, I have been actively involved in network monitoring. The probes are sent and the results are analyzed continuously, with new data coming in every second. During this process, local anomalies often arise.

Network 162

Network Analytics Servers Monitoring 162

DZone

AUGUST 18, 2023

We all know that data is being generated at an unprecedented rate. You may also know that this has led to an increase in the demand for efficient and secure data storage solutions that won’t break the bank. This article will explore what edge data platforms and real-time services are, why they are important, and how they can be used.

IoT 130

IoT Media Latency Storage 130

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 182

Metrics Monitoring Database Network 182

DZone

NOVEMBER 16, 2023

This article is intended for data scientists, AI researchers, machine learning engineers, and advanced practitioners in the field of artificial intelligence who have a solid grounding in machine learning concepts, natural language processing , and deep learning architectures.

Artificial Intelligence 264

Artificial Intelligence Architecture Network Engineering 264

Dynatrace

JUNE 10, 2024

Security analytics combines data collection, aggregation, and analysis to search for and identify potential threats. Using a combination of historical data and information collected in real time, security teams can detect threats earlier in the SDLC. Why is security analytics important? This offers two advantages for compliance.

Analytics 243

Analytics Network Open Source Hardware 243

Scalegrid

SEPTEMBER 5, 2024

Managing High Availability (HA) in your PostgreSQL hosting is very important to ensuring your database deployment clusters maintain exceptional uptime and strong operational performance so your data is always available to your application. The primary server is responsible for handling all write operations and maintaining data accuracy.

Availability 257

Availability Servers Database Open Source 257

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

DZone

JULY 3, 2023

Data engineering projects often require the setup and management of complex infrastructures that support data processing, storage, and analysis. Traditionally, this process involved manual configuration, leading to potential inconsistencies, human errors, and time-consuming deployments.

Data Engineering 150

Data Engineering Infrastructure Engineering Code 150