Dynatrace

JUNE 5, 2023

The F5 BIG-IP Local Traffic Manager (LTM) is an application delivery controller (ADC) that ensures the availability, security, and optimal performance of network traffic flows. Detect and respond to security threats like DDoS attacks or web application attacks by monitoring application traffic and logs.

Traffic 200

Traffic Virtualization Metrics Monitoring 200

Dynatrace

MAY 3, 2024

Their job is to find out the root cause of any SLO violations, ensure visibility into the application landscape to fix problems efficiently and minimize production costs by reducing errors. Take the example of Amazon Virtual Private Cloud (VPC) flow logs, which provide insights into the IP traffic of your network interfaces.

Cloud 257

Cloud Lambda AWS Analytics 257

Dynatrace

JUNE 1, 2023

But how do you get started, and what are some service level objective examples? In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider. Five example SLOs for faster, more reliable apps 1. For example, a user might expect a response time of one second or less.

Latency 182

Latency Website Traffic Virtualization 182

DZone

JANUARY 14, 2023

Improving 4G Networks Traffic Distribution With Anomaly Detection Previous generations of cellular networks were not very efficient with the distribution of network resources, providing coverage evenly for all territories all the time.

Network 130

Network Artificial Intelligence Transportation Retail 130

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

SEPTEMBER 28, 2021

Deployment frequency measures both long-term and short-term efficiency. For example, by measuring deployment frequency daily or weekly, you can determine how efficiently your team is responding to process changes. This metric gauges the stability and efficiency of your DevOps processes. Application usage and traffic.

DevOps 206

DevOps Metrics Traffic Efficiency 206

Dynatrace

OCTOBER 16, 2023

At the Dynatrace Innovate conference in Barcelona, Bernd Greifeneder, Dynatrace chief technology officer, discussed key examples of how the Dynatrace observability platform delivers value well beyond traditional monitoring. As customers continue to operate in the cloud, their needs for efficiency and cost-effectiveness only grow.

Innovation 203

Innovation DevOps Cloud Efficiency 203

The Netflix TechBlog

MARCH 5, 2024

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. We have several frameworks that periodically refresh large amounts of on-heap data to avoid external service calls for efficiency.

Latency 228

Latency Java Tuning Efficiency 228

DZone

DECEMBER 28, 2020

The system could work efficiently with a specific number of concurrent users; however, it may get dysfunctional with extra loads during peak traffic. For example, the gaming app has to present definite actions to bring the right experience. An app is built with some expectations and is supposed to provide firm results.

Performance Testing 220

Performance Testing Testing Tools Testing Performance 220

The Netflix TechBlog

NOVEMBER 29, 2023

1) depicts the migration of traffic from fixed bitrates to DO encodes. 1: Migration of traffic from fixed-ladder encodes to DO encodes. Shown below are rate versus quality examples for a couple of titles from our HDR catalog. This is achieved by more efficiently spacing the ladder points, especially in the high-bitrate region.

Open Source 252

Open Source Software Engineering Internet Internet 252

Dynatrace

AUGUST 28, 2023

IT teams spend months preparing for the peak traffic they anticipate will arrive with holiday shopping. These retail-business processes must work together efficiently to orchestrate customer satisfaction: Inventory management ensures you can anticipate and meet dynamic customer demand.

Retail 208

Retail Logistics Innovation Analytics 208

Dynatrace

JANUARY 4, 2024

Davis AI uses multidimensional baselining to automatically detect anomalies in the response times and error rates of applications and predictive AI to detect abnormalities in application traffic and service load. For example, predictive disk resizing and autoscaling resources. Root-cause analysis. Predictive operations.

Artificial Intelligence 240

Artificial Intelligence Strategy Traffic Virtualization 240

Percona

DECEMBER 11, 2023

This separation aims to streamline transaction write logging, improving efficiency and consistency. It becomes more manageable and efficient by isolating logs and data to a dedicated mount. By segregating transaction logs and harnessing the power of dedicated storage, DLVs contribute to enhanced efficiency and consistency.

AWS 95

AWS Benchmarking Performance Traffic 95

Dynatrace

JULY 18, 2023

However, scaling up software development requires more tools along the software product lifecycle, which must be configured promptly and efficiently. Efficient environment configuration at scale One of software engineers’ most significant challenges is managing the numerous tools and technologies required for the software product lifecycle.

Best Practices 195

Best Practices Code Infrastructure Latency 195

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. Here are some examples. Networking.

Open Source 307

Open Source Traffic DevOps Cloud 307

Dynatrace

JULY 25, 2022

VPC Flow Logs is a feature that gives you the capability to capture more robust IP traffic data that traverses your VPCs. Automate cloud operations and trigger remediation workflow to enhance efficiency. This is accomplished by acting like a router and ensuring the connection is made only one time, simplifying your network.

AWS 223

AWS Transportation Network Traffic 223

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. Scale automatically based on the demand and traffic patterns. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises.

Serverless 213

Serverless Lambda Azure AWS 213

The Netflix TechBlog

AUGUST 10, 2020

AV1 being a recent example. and thus fall back to less efficient encode families. Since then, we have applied innovations such as shot-based encoding and newer codecs to deploy more efficient encode families. These efforts allow our members to have the best viewing experience whenever they watch their favorite show or movie.

Innovation 239

Innovation Traffic Network Efficiency 239

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Percona

JUNE 22, 2023

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance 103

Performance Monitoring Traffic Database 103

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Thus making it an ideal choice for businesses seeking a successful implementation of their multi-cloud strategy.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

SEPTEMBER 30, 2021

Like any move, a cloud migration requires a lot of planning and preparation, but it also has the potential to transform the scope, scale, and efficiency of how you deliver value to your customers. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience. Here are three.

Cloud 169

Cloud Traffic Best Practices Strategy 169

The Netflix TechBlog

OCTOBER 18, 2022

We started seeing signs of scale issues, like: Slowness during peak traffic moments like 12 AM UTC, leading to increased operational burden. At Netflix, the peak traffic load can be a few orders of magnitude higher than the average load. For example, a lot of our workflows are run around midnight UTC.

Java 202

Java Scalability Traffic Architecture 202

Dynatrace

APRIL 13, 2023

Logs can include information about user activities, system events, network traffic, and other various activities that can help to detect and respond to critical security incidents. Efficient and effective log audit and forensics practices can require specialized understanding of cloud environments, applications, and log formats.

Analytics 190

Analytics Java Infrastructure Cloud 190

Dynatrace

AUGUST 18, 2022

For example, an attacker could exploit a misconfigured firewall rule to gain access to servers on your network. Scanning the runtime environment of your services can help to identify unusual network traffic patterns. The Dynatrace Application Security module gives you all the benefits of automated vulnerability management at scale.

Traffic 168

Traffic Java Network DevOps 168

The Netflix TechBlog

SEPTEMBER 23, 2019

In the event of an isolated failure we first pre-scale microservices in the healthy regions after which we can shift traffic away from the failing one. For example, player logging, authorization, licensing, and bookmarks were initially handled by a single monolithic service whose demand correlated highly with SPS.

Traffic 190

Traffic Metrics Mobile Government 190

Dynatrace

MARCH 26, 2020

Read on for an example and description of our new baselining functionality. The situation quickly settles back into the learned baseline, as shown below: As you can see, efficient monitoring is a matter of balance between quick reaction when necessary and avoiding overreacting to short hiccups.

Traffic 183

Traffic Monitoring Efficiency Strategy 183

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. divide the input video into small chunks 2.

Processing 229

Processing Media Latency Innovation 229

Dynatrace

JUNE 30, 2020

With any cloud technology, managing cost efficiency is critical. One example we often see is manag ing efficiency with cloud application workloads through intent-based capacity planning. This can be increasingly difficult with spontaneous user habits – or other outside variables.

Retail 219

Retail Cloud Metrics Efficiency 219

Dynatrace

DECEMBER 9, 2020

Most applications communicate with databases to, for example, pull a catalog entry or submit a new record when an order is placed. For example, what happens if there is a bug that prevents an app from letting go of a database connection once a transaction is completed? Dynatrace news. Automatically detect undersized connection pools.

Traffic 139

Traffic Performance Database Metrics 139

Dynatrace

SEPTEMBER 26, 2022

Progressive rollouts, rollbacks, storage orchestration, bin packing, self-healing, cost efficiency, and access to the Cloud Native Computing Foundation (CNCF) ecosystem carry heavy observability challenges. Evictions are an example of Kubernetes attempting to bring applications—or the cluster itself—to a declared state.

Storage 304

Storage Engineering Traffic Infrastructure 304

The Netflix TechBlog

MARCH 7, 2024

Example use case: Content Knowledge Graph Our knowledge graph of the entertainment world encodes relationships between titles, actors and other attributes of a film or series, supporting all aspects of business at Netflix. The back-end auto-scales the number of instances used to back your service based on traffic.

Systems 226

Systems Media Cache Open Source 226

Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. These essential data points heavily influence both stability and efficiency within the system. All these contribute significantly towards ensuring smooth functioning.

Metrics 130

Metrics Monitoring Latency Cache 130

Scalegrid

FEBRUARY 8, 2024

It utilizes methodologies like DStore, which takes advantage of underused hard drive space by using it for storing vast amounts of collected datasets while enabling efficient recovery processes. These systems enable vast amounts of data to be spread over multiple nodes, allowing for simultaneous access and boosting processing efficiency.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

SEPTEMBER 8, 2022

With comprehensive logging support, security, operational efficiency, and application uptime all improve. This enables IT teams to quickly and efficiently find the answers they need. Essentially, log management tools help with organizing logs to ensure log searches and queries are as efficient as possible.

Systems 189

Systems Cloud Analytics DevOps 189

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

Percona

SEPTEMBER 1, 2023

To address these challenges, architects must design robust and scalable MongoDB databases and adopt appropriate sharding strategies that can efficiently handle increasing workloads while ensuring continuous availability. It’s essential to select an appropriate shard key to ensure even data distribution and efficient querying.

Best Practices 71

Best Practices Traffic Database Servers 71