DZone

NOVEMBER 25, 2023

We often dwell on the technical aspects of database selection, focusing on performance metrics , storage capacity, and querying capabilities. The New Decision Matrix: Beyond Performance Metrics Performance metrics are pivotal, no doubt. Factors like read and write speed, latency, and data distribution methods are essential.

Database 268

Database Latency Speed Metrics 268

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. That’s a large amount of data to handle.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. That’s a large amount of data to handle.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

FEBRUARY 21, 2024

Automating quality gates is ideal, as it minimizes manually checking and validating key metrics throughout the SDLC. By actively monitoring metrics such as error rate, success rate, and CPU load, quality gates instill confidence in teams during software releases. Several tools can be used to collect metrics in load/performance testing.

Speed 206

Speed Software Software Latency 206

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 171

Metrics Database Monitoring Network 171

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. The consequences of rollbacks are significant and should not be underestimated.

Database 130

Database Network Servers Monitoring 130

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. Reliability.

Software 263

Software Software Benchmarking Latency 263

Dynatrace

AUGUST 25, 2023

These signals ( latency, traffic, errors, and saturation ) provide a solid means of proactively monitoring operative systems via SLOs and tracking business success. While this connection might sound simple, finding the right metrics to measure the needed SLIs takes time and effort. This is what Dynatrace captures as response time.

Performance 174

Performance Latency Traffic Metrics 174

The Netflix TechBlog

MAY 4, 2023

It can happen on an edge API system servicing customer devices, between the edge and mid-tier services, or from mid-tiers to data stores. It provides a good read on the availability and latency ranges under different production conditions. Replay Solution The replay traffic testing solution comprises two essential components.

Traffic 339

Traffic Latency Tuning Systems 339

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. The network latency between cluster nodes should be around 10 ms or less. Near-zero RPO and RTO—monitoring continues seamlessly and without data loss in failover scenarios.

Availability 246

Availability Hardware Latency Traffic 246

Dynatrace

DECEMBER 4, 2023

Data quality and drift: Monitoring the quality and characteristics of training and runtime data to detect significant changes that might impact model accuracy. OpenTelemetry has become a standard for collecting traces, metrics, and logs. Maintained under the Apache 2.0 However, Python models are trickier.

Open Source 257

Open Source Latency Metrics Java 257

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. 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. More than one in seven outages cost more than $1 million.

Best Practices 222

Best Practices DevOps Latency Metrics 222

Dynatrace

NOVEMBER 10, 2022

For AWS Lambda, Dynatrace provides Lambda Layers for adding distributed tracing to your serverless functions and for capturing metrics and logs from Amazon CloudWatch. Managing multiple data sources and integrations to capture all telemetry signals increases the complexity and TCO of your observability pipeline. How to get started.

Lambda 233

Lambda Serverless AWS Latency 233

Dynatrace

MAY 13, 2022

Once you deploy the Dynatrace extension, Dynatrace ingests your Cassandra metrics and analyzes them in context with the entire stack. From there, you can dive deeper into infrastructure metrics (cluster, datacenter, racks, and nodes) and data metrics (keyspaces and tables). Seeing the value.

Azure 236

Azure Latency Metrics Infrastructure 236

Dynatrace

MARCH 16, 2023

Enterprises now have access to myriad metrics they can track and measure, but an abundance of choice doesn’t equal actionable insight. Indeed, 54% of SREs say they handle too many metrics, making it increasingly difficult to find the most relevant ones for a particular service, according to the Dynatrace State of SRE Report.

DevOps 214

DevOps Latency Metrics Traffic 214

DZone

JUNE 15, 2023

In order to gain insight into these problems, we gather a range of metrics and logs to monitor the utilization of system resources such as CPU, memory, and application-specific latencies. It is worth noting that this data collection process does not impact the performance of the application.

Latency 246

Latency Storage Strategy Metrics 246

Dynatrace

NOVEMBER 9, 2023

Nutanix overview dashboard The extension automatically gathers real-time performance data from your Nutanix clusters to monitor resource usage, cluster health, and more, all in one place. By integrating Nutanix metrics into Dynatrace, you can gain valuable insights into the performance and health of your Nutanix infrastructure.

Virtualization 192

Virtualization Storage Metrics Monitoring 192

CSS Wizardry

OCTOBER 16, 2023

Plotted on the same horizontal axis of 1.6s, the waterfalls speak for themselves: 201ms of cumulative latency; 109ms of cumulative download. 4,362ms of cumulative latency; 240ms of cumulative download. When we talk about downloading files, we—generally speaking—have two things to consider: latency and bandwidth. It gets worse.

Cache 291

Cache Latency Strategy Speed 291

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

MARCH 29, 2024

Providing at-a-glance data makes it possible for teams to quickly identify high-level issues and then drill down into the details. ” The Dynatrace Kubernetes app also provides process ownership data, ensuring information is directed to the right team and root causes are addressed. ” Data supports those declarations.

Engineering 225

Engineering DevOps Operating System Open Source 225

Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Customers can use response streaming to achieve the following: Improve Time to First Byte (TTFB) performance for latency-sensitive applications. Return larger payload sizes. How does Dynatrace help?

Lambda 215

Lambda AWS Serverless Latency 215

DZone

SEPTEMBER 4, 2022

Pixie offers monitoring, telemetry, metrics, and more with less than 5% CPU overhead and latency degradation during data collection. Taking this in the context of a cloud environment, where you're paying by the resources used, this can quickly become expensive.

Monitoring 241

Monitoring Latency Metrics Cloud 241

The Netflix TechBlog

APRIL 27, 2023

A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! Atlas is an in-memory time-series database that ingests multiple billions of time-series per day and retains the last two weeks of data.

Storage 288

Storage Cache Metrics Database 288

Dynatrace

JUNE 7, 2023

This is achieved by using OpenAI services to compute numerical representations of text data that ease the computation of text similarity, called “embeddings,” for the documents as well as for the user input. Our example dashboard below visualizes OpenAI token consumption.

Monitoring 164

Monitoring Latency Metrics Azure 164

Dynatrace

DECEMBER 22, 2019

To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace ingests AWS CloudWatch metrics for multiple preselected services. Amazon Kinesis Data Analytics. Amazon Kinesis Data Firehose. Amazon Aurora.

AWS 136

AWS Metrics IoT Storage 136

Dynatrace

DECEMBER 22, 2019

To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace ingests AWS CloudWatch metrics for multiple preselected services. Amazon Kinesis Data Analytics. Amazon Kinesis Data Firehose. Amazon Aurora.

AWS 133

AWS Metrics IoT Storage 133

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Computing environments are scaling to new heights, resulting in more data that makes pinpointing root causes and vulnerabilities even more challenging. But not all teams use the same observability data in the same way.

Development 261

Development DevOps Programming Cloud 261

The Netflix TechBlog

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

SEPTEMBER 13, 2023

These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

APRIL 8, 2024

Maximizing a strong foundation of IT infrastructure performance and security means effectively utilizing all the data that these systems produce to drive risk management processes and decision-making. Risk functions realize unprecedented visibility and control through the following: Automated aggregation of data from disparate sources.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

Dynatrace

FEBRUARY 15, 2023

SREs use Service-Level Indicators (SLI) to see the complete picture of service availability, latency, performance, and capacity across various systems, especially revenue-critical systems. Additionally, you can easily use any previously defined metrics and SLOs from your environments.

DevOps 218

DevOps Latency Traffic Best Practices 218

Dynatrace

NOVEMBER 3, 2021

Monitoring focuses on watching specific metrics. Logging provides additional data but is typically viewed in isolation of a broader system context. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces.

Monitoring 220

Monitoring Metrics DevOps Scalability 220

Dynatrace

APRIL 25, 2023

Higher latency and cold start issues due to the initialization time of the functions. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces. Collecting these data types from serverless applications is not straightforward due to their ephemeral nature.

Serverless 207

Serverless Lambda Azure AWS 207

Dynatrace

JUNE 1, 2023

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. Note : you might hear the term latency used instead of response time. The Apdex score of 0.85

Latency 176

Latency Website Traffic Virtualization 176

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. Note : you might hear the term latency used instead of response time.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

JANUARY 13, 2022

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about a user’s interaction with an application. Real user monitoring collects data on a variety of metrics. For example, data collected on load actions can include navigation start, request start, and speed index metrics.

Monitoring 179

Monitoring Latency Mobile Best Practices 179