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.

Analytics 190

Analytics Java Infrastructure Cloud 190

Dynatrace

AUGUST 16, 2022

The data locked in your log files can be a goldmine for your application developers, operations teams, and your enterprise as a whole. However, it can be complicated , expensive , or even impossible to set up robust observability that makes use of this data. Log format inconsistency makes it a challenge to access critical data.

Processing 193

Processing Metrics Monitoring Java 193

Scalegrid

AUGUST 30, 2019

Redis , short for Remote Dictionary Server, is a BSD-licensed, open-source in-memory key-value data structure store written in C language by Salvatore Sanfillipo and was first released on May 10, 2009. Instead, Redis stores data in data structures which makes it very flexible to use. Data Structures in Redis.

Cache 232

Cache Ecommerce Social Media Database 232

Dynatrace

JULY 1, 2020

In my last blog , I’ve provided an example of this happening, whereby the traffic spiked and quadrupled the usual incoming traffic. These are all interesting metrics from marketing point of view, and also highly interesting to you as they allow you to engage with the teams that are driving the traffic against your IT-system.

Traffic 264

Traffic Analytics Metrics Servers 264

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. However, serverless applications have unique characteristics that make observability more difficult than in traditional server-based applications. Scale automatically based on the demand and traffic patterns. What are serverless applications?

Serverless 212

Serverless Lambda Azure AWS 212

Speed Curve

FEBRUARY 5, 2024

Server-timing headers are a key tool in understanding what's happening within that black box of Time to First Byte (TTFB). Cue server-timing headers Historically, when looking at page speed, we've had the tendency to ignore TTFB when trying to optimize the user experience. I mean, why wouldn't we?

Servers 57

Servers Cache Retail Benchmarking 57

DZone

MAY 31, 2022

As a result, it has an advantage over others in terms of visibility, brand image, and driving traffic. Core Web Vitals is a key performance metric that analyzes the website's performance by investigating the data and provides a strategic platform to scale up the website's user experience. What Is Web Performance Testing?

Performance Testing 244

Performance Testing Testing Performance Website Performance 244

Dynatrace

MAY 6, 2020

Over the last two month s, w e’ve monito red key sites and applications across industries that have been receiving surges in traffic , including government, health insurance, retail, banking, and media. Readers who share our privacy concerns, please note, all the data we monitor is publicly available. . Monitoring with ?the

Website 219

Website Monitoring Retail Media 219

Scalegrid

APRIL 5, 2024

This method involves splitting data over various nodes to improve the database’s efficiency. It enhances scalability and manages traffic surges, though it requires specific client support and limits multi-key operations to a single hash slot. Redis Cluster is Redis’s native sharding solution. What is Redis Sharding?

Scalability 130

Scalability Efficiency Java Database 130

Dynatrace

NOVEMBER 30, 2023

What was once an onslaught of consumer traffic between Black Friday and Cyber Monday has turned into a weeklong event, with most retailers offering deals well ahead of Black Friday. By focusing on the server, digital performance has become much more consistent, even under the weight of massive amounts of consumer load.

Retail 225

Retail Social Media Performance Benchmarking 225

Percona

JANUARY 5, 2023

Space constraint has been an endless and painstaking process for many of us, especially in systems that have a high number of transactions and data growth exceeding hundreds of GBs in a matter of days. If we are using binlog_format as ROW, a huge number of bin logs would be created which could choke I/O of servers and require extra cleanup.

Traffic 60

Traffic Engineering Speed Storage 60

Dynatrace

JANUARY 28, 2021

OpenTelemetry for Go provides developers with an observability framework for cloud-native software, allowing them to instrument, generate, collect, and export telemetry data for relevant services. Such additional telemetry data includes user-behavior analytics, code-level visibility, and metadata (including open-source data).

Traffic 170

Traffic Open Source Servers Cloud 170

The Morning Paper

NOVEMBER 15, 2020

Achieving 100 Gbps intrusion prevention on a single server , Zhao et al., Today’s paper choice is a wonderful example of pushing the state of the art on a single server. An IDS/IPS monitors network flows and matches incoming packets (or more strictly, Protocol Data Units, PDUs) against a set of rules. OSDI’20.

Servers 128

Servers Hardware Latency Design 128

Dynatrace

JULY 24, 2023

Though the industry champions observability as a vital component, it’s become clear that teams need more than data on dashboards to overcome persistent DevOps challenges. We will also explore the evolution of DevOps automation and the significance of data-driven answers in unlocking streamlined, automated DevOps and SRE processes.

DevOps 224

DevOps Traffic Efficiency Servers 224

The Netflix TechBlog

JUNE 13, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

MAY 17, 2023

While the first guardian validates the traffic, the second guardian checks the business transactions generated during the observation period. In this case, the four golden signals (latency, traffic, errors, and saturation) are derived from span attributes and DQL metric queries via Dynatrace Grail™.

DevOps 191

DevOps Traffic Latency Best Practices 191

Dynatrace

SEPTEMBER 29, 2021

A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. What is Docker? Networking. Observability.

Open Source 306

Open Source Traffic DevOps Cloud 306

Dynatrace

DECEMBER 9, 2020

Dynatrace is fully committed to the OpenTelemetry community and to the seamless integration of OpenTelemetry data , including ingestion of custom metrics , into the Dynatrace open analytics platform. Announcing seamless integration of OpenTracing data into Dynatrace PurePath 4.

Java 238

Java Traffic Strategy Architecture 238

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

Dynatrace

AUGUST 18, 2022

Security vulnerabilities are weaknesses in applications, operating systems, networks, and other IT services and infrastructure that would allow an attacker to compromise a system, steal data, or otherwise disrupt IT operations. Undetected, the compromised code could allow attackers to access data they’re not authorized to have.

Traffic 167

Traffic Java Network DevOps 167

Dynatrace

JANUARY 11, 2023

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. With agent monitoring, third-party software collects data and reports from the component that’s attached to the agent. Website monitoring.

Cloud 226

Cloud Monitoring Best Practices Infrastructure 226

The Netflix TechBlog

MARCH 5, 2019

While our engineering teams have and continue to build solutions to lighten this cognitive load (better guardrails, improved tooling, …), data and its derived products are critical elements to understanding, optimizing and abstracting our infrastructure. In the Reliability space, our data teams focus on two main approaches.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Percona

JANUARY 3, 2024

The daemon accepts incoming traffic from MySQL clients and forwards it to backend MySQL servers. These include runtime parameters, server grouping, and traffic-related settings. These include runtime parameters, server grouping, and traffic-related settings. sec) $ mysql -uadmin -p -h 127.0.0.1 -P

Traffic 107

Traffic Hardware Cache Servers 107

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

Dynatrace

MAY 17, 2023

When software runs in a monolithic stack on on-site servers, observability is manageable enough. OpenTelemetry, the open source observability tool, has emerged as an industry-standard solution for instrumenting application telemetry data to make it observable.

Metrics 185

Metrics Open Source Traffic Cache 185

Dynatrace

MAY 31, 2023

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. The growing amount of data processed at the network edge, where failures are more difficult to prevent, magnifies complexity.

Best Practices 227

Best Practices DevOps Latency Metrics 227

IO River

NOVEMBER 2, 2023

‍Just as a well-coordinated airport directs flights to multiple runways based on traffic and weather conditions, a CDN with Multiple Origins Load Balancing ensures that web traffic is distributed across various data centers, optimizing performance and reliability. ‍But how does it decide where to send this traffic?

Traffic 52

Traffic Cache Servers Latency 52

Dynatrace

JULY 24, 2023

Teams use this data to identify, analyze, and fix coding errors, UX/UI design, microservices, and other technical issues to improve usability and provide a better digital customer experience. This private, personal information is then typically sent to third-party servers for recording and playback of the individual browsing session.

Analytics 196

Analytics Website Mobile Internet 196

Dynatrace

NOVEMBER 24, 2021

Would you like to access all your monitoring data on a single platform? Dynatrace has you covered—Dynatrace extensions collect the necessary data and offer improved visibility wherever you need a single platform for IM and APM purposes. Virtual servers. Simplified data analysis presented in topological context.

Network 215

Network Infrastructure Virtualization Metrics 215

Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

DECEMBER 21, 2023

The backend is a single one where the “passive” PMM instance (the one that is a pure “read replica”) is marked as “backup” so that traffic is only routed there in case the primary fails the health check. For simplicity, the PMM instances are configured to listen to the 80 port (http) on the private IPs.

Availability 98

Availability Monitoring Open Source Traffic 98

The Netflix TechBlog

MARCH 5, 2024

That’s particularly true of our GRPC clients and servers, where request cancellations due to timeouts interact with reliability features such as retries, hedging and fallbacks. Each of these errors is a canceled request resulting in a retry so this reduction further reduces overall service traffic by this rate: Errors rates per second.

Latency 228

Latency Java Tuning Efficiency 228

Dynatrace

MARCH 22, 2021

Such on-premises environments are usually large, typically consisting of thousands of hosts that are organized in physical data centers. As you might know, we recently simplified observability for all custom metrics by making it possible to ingest hundreds of custom data sources into Dynatrace. Events and alerts.

Metrics 245

Metrics Network Infrastructure Traffic 245

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. With an on-prem data center, the organization bears the burden of securing the physical infrastructure and its digital assets. What is cloud migration?

Cloud 169

Cloud Traffic Best Practices Strategy 169

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. However, simply deploying a monitoring tool is not enough; you need to know which Key Performance Indicators (KPIs) to monitor to gain insights into your MySQL server’s health and performance.

Performance 103

Performance Monitoring Traffic Database 103

Dynatrace

MAY 8, 2023

DevOps monitoring tools enable teams to collect, analyze, and visualize data to ensure the smooth operation of software applications and infrastructure in a DevOps environment. The result is faster and more data-driven decision making. These conditions can lead to the following challenges: Data silos. Help systems meet SLAs.

DevOps 224

DevOps Efficiency Monitoring Infrastructure 224

Percona

SEPTEMBER 1, 2023

Scalability is a significant concern, as databases must handle growing data volumes and user demands while maintaining peak performance. Sharding in MongoDB is a technique used to distribute a database horizontally across multiple nodes or servers, known as “shards.”

Best Practices 72

Best Practices Traffic Database Servers 72