Dynatrace

OCTOBER 7, 2020

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics. Seamlessly report and be alerted on topology-related custom metrics.

Metrics 246

Metrics Analytics Storage Monitoring 246

Dynatrace

DECEMBER 18, 2023

To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus. Named after the Greek god who brought fire down from Mount Olympus, Prometheus metrics have been transforming observability since the project’s inception in 2012. What is Prometheus?

Metrics 245

Metrics Engineering Energy Tuning 245

The Netflix TechBlog

APRIL 27, 2023

Ruchir Jha , Brian Harrington , Yingwu Zhao TL;DR Streaming alert evaluation scales much better than the traditional approach of polling time-series databases. It allows us to overcome high dimensionality/cardinality limitations of the time-series database. It opens doors to support more exciting use-cases.

Storage 297

Storage Cache Metrics Database 297

The Netflix TechBlog

MARCH 6, 2019

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Our object storage service splits objects into many parts and stores them in S3.

Media 218

Media Storage Processing Cache 218

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. Logs, metrics, and traces make up the bulk of all telemetry data. Monitoring begins here. Span ingestion.

Open Source 246

Open Source Metrics Cloud Transportation 246

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). You also decide to run your database for storing user uploads – such as images or videos – directly in Kubernetes. However, you lack insights into your PVCs.

Storage 246

Storage Database Network Metrics 246

Dynatrace

JANUARY 11, 2023

These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards. Database monitoring. This ensures the database queries are performant, while also identifying host problems. Cloud storage monitoring. Cloud monitoring types and how they work.

Cloud 295

Cloud Monitoring Best Practices Infrastructure 295

Scalegrid

MAY 11, 2024

MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. The newer, pluggable storage engine, WiredTiger, addresses this by using prefix compression, collection-level locking, and row-based storage.

Storage 130

Storage Engineering Cache Database 130

Dynatrace

AUGUST 27, 2020

Dynatrace’s ability to ingest metrics from all 95 AWS services will be available within the next 60 days. The latest batch of services cover databases, networks, machine learning and computing. Amazon Database Migration Service. Amazon Quantum Ledger Database (QLDB). AWS Storage Gateway. Available Now. Coming Soon.

AWS 279

AWS Cloud IoT Database 279

Dynatrace

SEPTEMBER 5, 2024

Native support for Syslog messages Syslog messages are generated by default in Linux and Unix operating systems, security devices, network devices, and applications such as web servers and databases. The dashboard tracks a histogram chart of total storage utilized with logs daily. It also tracks the top five log producers by entity.

Innovation 290

Innovation AWS Analytics Storage 290

Dynatrace

AUGUST 21, 2024

This approach enhances key DORA metrics and enables early detection of failures in the release process, allowing SREs more time for innovation. This blog post explores the Reliability metric , which measures modern operational practices. Why reliability? The problems that take maximum time to resolve – lowest MTTR.

Engineering 262

Engineering Systems Latency Metrics 262

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Werner Vogels weblog on building scalable and robust distributed systems.

Scalability 162

Scalability Database Ecommerce Latency 162

Dynatrace

OCTOBER 4, 2022

Achieving the ideal state with aggregated, centralized log data, metrics, traces , and other metadata is challenging—particularly for multicloud environments. They can call on dozens of databases and deliver gigabytes of data across myriad devices. Metrics are often tracked and measured relative to a baseline or threshold.

Analytics 264

Analytics Storage Infrastructure Metrics 264

Dynatrace

JULY 29, 2022

It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert. Traditional databases help users and machines find data with a quick search. Cold storage and rehydration. Indexing overhead. Inadequate context.

Analytics 246

Analytics Storage Retail DevOps 246

Dynatrace

JULY 29, 2022

It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert. Traditional databases help users and machines find data with a quick search. Cold storage and rehydration. Indexing overhead. Inadequate context.

Analytics 245

Analytics Storage Retail DevOps 245

Dynatrace

OCTOBER 22, 2021

Removed deprecated endpoints /metrics/series and /metrics/descriptors in favor of /metrics/query and /metrics. Metric and configuration storage database was updated to Cassandra 3.11.11 Alert on log data – Log metrics. Check Log consumption for details. for improved resilience.

Metrics 246

Metrics Monitoring Storage Database 246

Dynatrace

JANUARY 16, 2023

The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase. Java, Go, and Node.js

Open Source 358

Open Source Java Operating System Programming 358

Percona

FEBRUARY 10, 2023

Previously, deploying and maintaining a database usually meant many burdensome chores and repetitive tasks to ensure proper functioning. Today along with their team, we will see how pvc-autoresizer can automate storage scaling for MongoDB clusters on Kubernetes. In our lab we will use AWS EKS with a standard storage class.

Storage 130

Storage Blockchain AWS Cloud 130

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. This unified approach enables Grail to vault past the limitations of traditional databases.

Analytics 246

Analytics Innovation Metrics Database 246

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Many technologies expose their metrics in the Prometheus data format. Easily gain actionable insights with the Dynatrace Extension for Prometheus metrics. Prometheus in Kubernetes ?and

Technology 246

Technology Technology Metrics Infrastructure 246

Dynatrace

JUNE 9, 2023

The sheer number of permutations can break traditional databases. When data storage strategies become problematic to DevOps maturity Data warehouse-based approaches add cost and time to analytics projects. Indexless means teams have rapid access to data without the storage cost and resources needed to maintain massive indexes.

DevOps 246

DevOps Analytics Storage Metrics 246

Dynatrace

OCTOBER 4, 2022

The only way to address these challenges is through observability data — logs, metrics, and traces. Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. Collecting logs, metrics, events, and trace data is great.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope.

Artificial Intelligence 245

Artificial Intelligence Metrics Architecture DevOps 245

Dynatrace

APRIL 20, 2023

“Logs magnify these issues by far due to their volatile structure, the massive storage needed to process them, and due to potential gold hidden in their content,” Pawlowski said, highlighting the importance of log analysis. ” In many cases, indexed databases only provide access to a sample of statistical data summaries.

Analytics 246

Analytics Infrastructure Storage Architecture 246

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

Dynatrace

JANUARY 20, 2022

Apache Spark pool metrics are replaced with new ones. See Available metrics. DL/I segment name for DL/I databases. RUM linking timeouts adjusted in transaction storage. (APM-341299). Improved `builtin:apps.web.actionCount.summary` metric. (APM-339840). Masking v1. Masking v2. Mainframe request attributes.

Lambda 245

Lambda AWS Metrics Azure 245

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host. Logs can also be used to represent event data.

Virtualization 237

Virtualization Infrastructure Monitoring Cloud 237

Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. 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.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

OCTOBER 2, 2024

Davis AI contextually aligns all relevant data points—such as logs, traces, and metrics—enabling teams to act quickly and accurately while still providing power users with the flexibility and depth they desire and need. There is no need to think about schema and indexes, re-hydration, or hot/cold storage.

Analytics 304

Analytics AWS DevOps Cloud 304

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more.

Infrastructure 246

Infrastructure Monitoring Virtualization Serverless 246

Dynatrace

FEBRUARY 2, 2023

In October 2022, Dynatrace and Microsoft extended their deep integration to include metrics and topology from Azure Monitor. This includes Azure services such as App Services & Functions, Azure Databases, Azure Load Balancers, Azure Storage, and many more (see the complete list of services ).

Azure 246

Azure Cloud Monitoring Metrics 246

Dynatrace

MAY 6, 2021

Contact Dynatrace ONE if you wish to enable Cluster-side screenshot storage on pre-1.216 fresh-installed Clusters. Fixed an issue in which database conditions in tagging and management zone configurations were evaluated incorrectly. Consumption and storage now returned correctly when using Environment API with paging.

Operating System 246

Operating System AWS Metrics Storage 246

Dynatrace

FEBRUARY 10, 2021

Dynatrace Managed now uses the more precise MaxMind GeoIP2 database instead of the MaxMind GeoLite2Dabase. Metric and configuration storage database was updated to Cassandra 3.0.23 Dynatrace news. New features and enhancements. Dynatrace Managed is now also supported on CentOS 8.3 and Oracle Linux 8.3.

Storage 177

Storage Database Metrics 177

Dynatrace

AUGUST 26, 2020

Optimal metric storage management strategy. Dynatrace Managed metric storage management is reliable and delivers high performance. Our new solution for managing metric storage doesn’t reclaim disk space by data compaction.

Performance 191

Performance Hardware Java Storage 191

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. The results are then evaluated using specific metrics to determine whether the hypothesis is valid.

Traffic 285

Traffic Metrics Systems Strategy 285

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. Scenario : For many B2B SaaS companies, the number of reported customers is an important metric.

DevOps 272

DevOps Analytics Airlines Metrics 272

Dynatrace

AUGUST 5, 2019

Database & functional migration. Step 4: Smart Database Migration. Database migration would deserve a blog post on its own as there are so many questions we can answer with Dynatrace data to ensure a successful migration. Which applications and services are depending on a database that might be impacted by a migration?

Cloud 38

Cloud Traffic Database Network 38