DZone

NOVEMBER 25, 2019

Monitor and profile your Spring Boot application! You may also like: Monitoring Using Spring Boot 2.0, Monitoring is very essential for modern applications, modern applications are highly distributed in nature and have different dependencies like database, service, caching and many more.

Monitoring 286

Monitoring Cache Metrics Database 286

Dynatrace

APRIL 7, 2022

Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Topology-related custom metrics for seamless reports and alerts. Micrometer uses a registry to export metrics to monitoring systems.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

APRIL 7, 2022

Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Topology-related custom metrics for seamless reports and alerts. Micrometer uses a registry to export metrics to monitoring systems.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

MAY 17, 2023

That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. In addition to tracing, observability also defines two other key concepts, metrics and logs. When software runs in a monolithic stack on on-site servers, observability is manageable enough. What is OpenTelemetry?

Metrics 174

Metrics Open Source Traffic Cache 174

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. Observing AI models Running AI models at scale can be resource-intensive.

Cache 199

Cache Azure Infrastructure Monitoring 199

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! Hence, we started down the path of alert evaluation via real-time streaming metrics. This has proven to be valuable towards reducing Mean Time to Recover (MTTR).

Storage 288

Storage Cache Metrics Database 288

Percona

MARCH 17, 2023

2022 was an exciting year for Percona Monitoring and Management (PMM). PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Planning for resources of a PMM Server host instance can be tricky because the numbers can change depending on the DB instances being monitored by PMM. We have tested PMM version 2.33.0

Monitoring 98

Monitoring Scalability Cache Database 98

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Monitoring begins here. Logs, metrics, and traces make up the bulk of all telemetry data.

Open Source 212

Open Source Metrics Cloud Transportation 212

Percona

NOVEMBER 9, 2023

In this blog post, we will discuss how to extend Percona Monitoring and Management (PMM) to get PostgreSQL metrics on checkpointing activity, internal buffers, and WAL usage. With this data, we’ll be able to better understand and tune our Postgres servers. You can search the blog for more information on this if needed.

Monitoring 90

Monitoring Tuning Metrics Servers 90

Smashing Magazine

MAY 9, 2022

Performance Game Changer: Browser Back/Forward Cache. Performance Game Changer: Browser Back/Forward Cache. With that caveat out of the way, let’s get to the guts of the article: What is the Back/Forward Cache and why does it matter so much? Didn’t The HTTP Cache Do All That Anyway? Barry Pollard.

Cache 91

Cache Games Performance Website 91

Dynatrace

MAY 13, 2022

This extension provides fully app-centric Cassandra performance monitoring for Azure Managed Instance for Apache Cassandra. Cassandra is also essential to Dynatrace because it is integral to our monitoring solution. Provide a foundation for calculating metrics in dashboard charts.

Azure 231

Azure Latency Metrics Infrastructure 231

Smashing Magazine

MAY 16, 2022

Rethinking Server-Timing As A Critical Monitoring Tool. Rethinking Server-Timing As A Critical Monitoring Tool. To me, it’s a must-use in any project where real user monitoring (RUM) is being instrumented. To me, it’s a must-use in any project where real user monitoring (RUM) is being instrumented. Sean Roberts.

Servers 92

Servers Monitoring Cache Network 92

Dynatrace

APRIL 10, 2023

With Dynatrace deep cluster monitoring, “we were able to do upfront detection of security processes consuming higher CPU time on the cluster,” Bollampally said. “The key metrics we were able to gather from Dynatrace helped us complete the testing with zero downtime,” Bollampally said.

Cloud 166

Cloud Ecommerce Performance Retail 166

Dynatrace

APRIL 8, 2019

With rich offerings available in platform services and the growing popularity of serverless application architectures, new challenges in monitoring have emerged. Our integration of Azure Monitor allows for the next level of visibility into the platform’s behavior, providing precise, AI-powered answers from deep within the service layer.

Azure 103

Azure Monitoring Serverless Virtualization 103

Percona

AUGUST 8, 2023

But we can discuss common bottlenecks, how to assess them, and have a better understanding as to why proactive monitoring is so important when it comes to responding to traffic growth. Global caches like the InnoDB buffer pool and MyISAM key cache and session-level caches like the sort buffer, join buffer, random read buffer, etc.

Traffic 89

Traffic Cache Monitoring Database 89

Dynatrace

NOVEMBER 28, 2022

Lambda then takes a snapshot of the memory and disk state of the initialized execution environment, persists the encrypted snapshot, and caches it for low-latency access. Auto-detection starts monitoring new virtual machines as they are deployed. The latest Amazon Lambda innovation, Lambda SnapStart, has day one support from Dynatrace.

Lambda 218

Lambda AWS Serverless Latency 218

Dynatrace

DECEMBER 21, 2023

Thomas: “Not so fast, Klaus; this host is part of our Synthetic Monitoring node cluster. Implement appropriate caching layers (for example, read-only cache for static data). In January 2023, Dynatrace released the Carbon Impact app, adding carbon emissions and energy consumption metrics to observability data.

Cloud 202

Cloud Energy Best Practices Cache 202

Dynatrace

MAY 2, 2019

Many Dynatrace monitoring environments now include well beyond 10,000 monitored hosts—and the number of processes and services has multiplied to millions of monitored entities. Our REST APIs are widely used to enrich custom reports with performance and stability insights into monitored application environments.

Best Practices 128

Best Practices Monitoring Cache Speed 128

Dynatrace

NOVEMBER 29, 2021

Monitor your Graviton2-powered Lambda functions out of the box. When you add the Dynatrace extension to your Lambda functions, Dynatrace begins ingesting their metrics, logs, and traces, which you can monitor and correlate with data from the rest of your stack. Provide a foundation for metric calculation in charts on dashboards.

Lambda 206

Lambda AWS Serverless Metrics 206

The Netflix TechBlog

MARCH 7, 2024

Deployment: Cache To produce business value, all our Metaflow projects are deployed to work with other production systems. While the system relies on our internal caching infrastructure, you could follow the same pattern using services like Amazon ElasticCache or DynamoDB.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

SEPTEMBER 13, 2023

Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond A study by Amazon found that increasing page load time by just 100 milliseconds costs 1% in sales.  Beyond efficiency, validating performance thresholds is also crucial for revenues.

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

AUGUST 1, 2022

Interestingly, our partner RedHat reported in 2021 that around 80% of deployed workloads are databases or data caches, storing data in persistent volume claims (PVCs). Unfortunately, you did not have any monitoring or alerting in place, and you stopped checking the system daily because you have lost faith in your idea.

Storage 180

Storage Database Network Metrics 180

Percona

MAY 10, 2023

If you only have access to Linux metrics, look at the “b” column in vmstat, which corresponds to processes blocked on disk I/O. For Percona Monitoring and Management, you can install a plugin as described in the blog post Understanding Processes Running on Linux Host with Percona Monitoring and Management.

Cache 143

Cache Monitoring Open Source Processing 143

Percona

JUNE 22, 2023

A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance. In this blog, we will explore various MySQL KPIs that are basic and essential to track using monitoring tools like PMM.

Performance 104

Performance Monitoring Traffic Database 104

Dynatrace

APRIL 21, 2022

Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. Continuously monitor cost and optimize your capacity needs. But managing these three data types at a scale becomes unsustainable for even the most experienced teams.

Azure 181

Azure Monitoring Virtualization Metrics 181

Dynatrace

SEPTEMBER 17, 2019

Kubernetes (k8s) provides basic monitoring through the Kubernetes API and you can find instructions like Top 9 Open Source Tools for Monitoring Kubernetes as a “do it yourself guide”. End-user monitoring. REDIS for caching. Dynatrace news. Full-stack observability. End-to-end code-level tracing. Service mash insights.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Percona

DECEMBER 19, 2022

We are excited to announce the latest release of Percona Monitoring and Management (PMM) – V2.33. include: Offline metric collection during PMM server outages or loss of PMM client-server network connectivity. Client-side caching minimizes potential for metrics loss. Some of the key highlights of PMM V2.33

Metrics 52

Metrics Monitoring Servers Open Source 52

Percona

APRIL 7, 2023

I’ve used a fourth instance to host a PMM server to monitor servers A and B and used the data collected by the PMM agents installed on the database servers to compare performance. In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 135

Tuning Cache Servers Benchmarking 135

DZone

DECEMBER 30, 2020

Below are some of the key metrics that need to be monitored during performance testing: CPU utilization. Cache hit ratio. Heap memory utilization. Number of active/daemon threads. Number of classes loaded. Server page faults/second. Active total sessions. SSL transactions/second. Active/total DB pool connections. Load balancing.

Servers 133

Servers Performance Cache Performance Testing 133

Dynatrace

JUNE 16, 2020

For many organizations, these back-end technology layers reveal blind spots in their current approach to monitoring. Spotty monitoring coverage makes it hard to identify, analyze, and resolve performance problems, which can endanger key business transactions and impact users. This metric helps you to understand your current workload.

Innovation 151

Innovation Metrics Infrastructure Programming 151

The Netflix TechBlog

MAY 4, 2023

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. The batch job creates a high-level summary that captures some key comparison metrics.

Traffic 339

Traffic Latency Tuning Systems 339

Scalegrid

AUGUST 30, 2019

Depending on how it is configured, Redis can act like a database, a cache or a message broker. Session Cache: Many websites leverage Redis Strings to create a session cache to speed up their website experience by caching HTML fragments or pages. It’s important to note that Redis is a NoSQL database system. Redis Sets.

Cache 232

Cache Ecommerce Social Media Database 232

Smashing Magazine

AUGUST 3, 2023

Google’s Core Web Vitals is a set of performance metrics that site owners can use to evaluate performance and diagnose performance issues. These metrics provide a different perspective on user experience: Largest Contentful Paint (LCP) Measures the time it takes for the main content on a webpage to load. One of the key Next.js

Performance 74

Performance Cache Traffic Metrics 74

Scalegrid

JULY 8, 2020

Behavior on Sentinel-Monitored High Availability Systems. The setup has 2 Redis servers running in a master/replica configuration that is being monitored by a 3-sentinel quorum. 6 Crucial Redis Monitoring Metrics You Need To Watch. Redis Transactions & Long-Running Lua Scripts Click To Tweet. Learn more.

Servers 239

Servers Database Availability Monitoring 239

MachMetrics

MARCH 21, 2019

Web performance metrics track the efficiency (or lack thereof) of any individual aspect of your website’s performance. Once you have started collecting some of these must-track web performance metrics for your website, inefficiencies will become clearer. Top 10 Web Perf Metrics to Track. Time to First Byte. Bounce Rate.

Metrics 74

Metrics Social Media Performance Speed 74

Speed Curve

APRIL 9, 2023

Here's how the update to Lighthouse 10 may affect your metrics. Metrics and scoring weights include the deprecation of Time to Interactive (TTI) and the increase in weight for Cumulative Layout Shift (CLS). When a BF cache navigation is prevented, Lighthouse lists the causes for the failure. What changed in Lighthouse 10?

Cache 74

Cache Best Practices Metrics Google 74

Percona

SEPTEMBER 1, 2023

Monitor Resource Utilization Monitoring and analyzing resource utilization in your MySQL database is crucial for maintaining optimal performance and preventing potential bottlenecks. Key metrics such as CPU usage, memory usage, and disk I/O offer insights into how efficiently your database server operates.

Tuning 52

Tuning Database Performance Hardware 52