Dynatrace

DECEMBER 13, 2023

Mobile applications (apps) are an increasingly important channel for reaching customers, but the distributed nature of mobile app platforms and delivery networks can cause performance problems that leave users frustrated, or worse, turning to competitors. Here are some ways observability data is important to mobile app performance monitoring.

Best Practices 198

Best Practices Mobile Metrics Performance 198

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 200

Infrastructure Monitoring Virtualization Serverless 200

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. Without it, sending an email over a long distance would require the immediate availability of every node on the routing network to forward each message. A producer creates the message, and a consumer processes it.

Monitoring 200

Monitoring Serverless Programming Speed 200

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. Without it, sending an email over a long distance would require the immediate availability of every node on the routing network to forward each message. A producer creates the message, and a consumer processes it.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

NOVEMBER 6, 2023

But there’s more than just a need for minimizing resource (CPU, memory, storage) and network (bandwidth) consumption for observability at the edge. Moreover, edge environments can be highly dynamic, with devices frequently joining and leaving the network. Remote management and automated alerting are, therefore, crucial.

Retail 258

Retail Analytics Storage Cloud 258

DZone

JANUARY 23, 2022

Datacenter - data center failure where the whole DC could become unavailable due to power failure, network connectivity failure, environmental catastrophe, etc. this is addressed through monitoring and redundancy. Redundancy in power, network, cooling systems, and possibly everything else relevant.

Hardware 243

Hardware DevOps Network Storage 243

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Comparing log monitoring, log analytics, and log management. Log management brings together log monitoring and log analysis.

Systems 185

Systems Cloud Analytics DevOps 185

DZone

JANUARY 31, 2024

SIEM platforms offer centralized management of security operations, making it easier for organizations to monitor, manage, and secure their IT infrastructure. Volume spikes in log collection result from sudden increases in data, impacting the data ingestion process, impacting the platform at the storage level, and networking.

Storage 136

Storage Data Engineering Network Infrastructure 136

Dynatrace

OCTOBER 14, 2022

A customer recently told us, “We monitor hosts in our enterprise from more than 50 countries. Some monitoring requirements are the same for all teams; some country teams need to create a subset of rules.”. Collecting logs that aren’t relevant to their business case creates noise, overloads congested networks, and slows down teams.

Storage 227

Storage Government Network Infrastructure 227

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. Computer operations manages the physical location of the servers — cooling, electricity, and backups — and monitors and responds to alerts. Why is IT operations important?

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

MARCH 15, 2024

Getting insights into the health and disruptions of your networking or infrastructure is fundamental to enterprise observability. For example, a supported syslog component must support the masking of sensitive data at capture to avoid transmitting personally identifiable information or other confidential data over the network.

Open Source 200

Open Source Infrastructure Network Government 200

Dynatrace

MARCH 24, 2023

But managing the deployment, modification, networking, and scaling of multiple containers can quickly outstrip the capabilities of development and operations teams. This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. How does container orchestration work?

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

Dynatrace

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. The newly introduced VPC Flow Logs for Transit Gateway service brings a new network dimension to application monitoring.

AWS 218

AWS Transportation Network Traffic 218

Dynatrace

FEBRUARY 2, 2022

Additional benefits of Dynatrace SaaS on Azure include: No infrastructure investment : Dynatrace manages the infrastructure for you, including automatic visibility, problem detection, and smart alerting across virtual networks, virtual infrastructure, and container orchestration.

Azure 321

Azure Availability Hardware Innovation 321

Dynatrace

JUNE 7, 2023

Kubernetes also gives developers freedom of choice when selecting operating systems, container runtimes, storage engines, and other key elements for their Kubernetes environments. Without having to worry about underlying infrastructure concerns, such as storage, security, and lifecycle management, developers can focus on writing code.

Open Source 206

Open Source Social Media Infrastructure Operating System 206

The Netflix TechBlog

OCTOBER 19, 2020

Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices. A second job taps the data feed from the first job, does tail sampling of data and writes traces to the storage system.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

APRIL 8, 2024

In summary, the Dynatrace platform enables banks to do the following: Capture any data type: logs, metrics, traces, topology, behavior, code, metadata, network, security, web, and real-user monitoring data, and business events. Monitor and neutralize insider threats from negligent or malicious employees and contractors.

Analytics 201

Analytics Infrastructure Efficiency Technology 201

Dynatrace

SEPTEMBER 23, 2020

In parallel to the continuous stream of new improvements related to Dynatrace monitoring capabilities, we’re also continuously improving our internal mechanisms. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Customizable location of large runtime files.

Storage 148

Storage Latency Operating System Network 148

Dynatrace

JANUARY 22, 2024

Most AI today uses association-based machine learning models like neural networks that find correlations and make predictions based on them. Traditional monitoring provides correlations between events, but causal AI goes further by inferring the probabilistic causal relationships between them.

Artificial Intelligence 207

Artificial Intelligence Healthcare Retail Government 207

Scalegrid

JANUARY 19, 2024

Key Takeaways Rollbacks in MongoDB are triggered by disruptions in the replication process due to primary node crashes, network partitions, or other failures, which can lead to substantial data loss and inconsistencies. This failure in replication could happen due to crashes, network partitions, or other situations where failover occurs.

Database 130

Database Network Servers Monitoring 130

Scalegrid

JANUARY 5, 2024

The DBMS is key to maintaining these aspects by offering a storage system that allows users to perform operations such as data insertion, deletion, and selection, thereby promoting enhanced data integration across diverse applications and platforms. Practical Applications of DBMS DBMS finds practical applications in various fields.

Efficiency 147

Efficiency Storage Database Scalability 147

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

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 247

AWS Efficiency Azure Cloud 247

Percona

MAY 29, 2023

pgBackrest on the Main site streams backups and Write Ahead Logs (WALs) to the object storage. Once installed, configure the Custom Resource manifest so that pgBackrest starts using the Object Storage of your choice. To detect the failover, we recommend having a third site for monitoring both DR and Main.

Storage 120

Storage Cloud Network Traffic 120

Dynatrace

DECEMBER 18, 2023

But often, we use additional services and solutions within our environment for backups, storage, networking, and more. Our goal was to filter for metrics that deliver the data we need while minimizing storage costs. This covers the infrastructure, processes, and the application stack, including tracing, profiling, and logs.

Metrics 178

Metrics Engineering Energy Tuning 178

Dynatrace

JUNE 8, 2020

Meeting the requirements of a tier-0 application demands the highest level of reliability and scalability, which Dynatrace enables through extensive self-monitoring and self-healing across the entire application stack down to the infrastructure level. Access your cluster health data in Dynatrace Managed.

Software 165

Software Software Programming Metrics 165

Dynatrace

JUNE 16, 2020

One key requirement of a microservices architecture is the ability to make information of all kinds available wherever and whenever it’s needed, without putting undue traffic on corporate and public networks. Synchronous storage size. Async storage size. Storage read size rate. Storage read count rate.

Storage 133

Storage Metrics Java Architecture 133

Dynatrace

NOVEMBER 23, 2020

Typically, Kubernetes monitoring is managed using a separate dashboard (like the Kubernetes Dashboard or the Grafana App for Kubernetes ) that shows the state of the cluster and alerts when anomalies occur. Configuring storage in Kubernetes is more complex than using a file system on your host.

Virtualization 161

Virtualization Infrastructure Monitoring Cloud 161

Dynatrace

MAY 19, 2023

For cloud operations teams, network performance monitoring is central in ensuring application and infrastructure performance. If the network is sluggish, an application may also be slow, frustrating users. Worse, a malicious attacker may gain access to the network, compromising sensitive application data.

Network 216

Network Monitoring Performance Traffic 216

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

High Scalability

DECEMBER 16, 2022

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure.

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

MAY 6, 2021

Starting with version 1.216, for fresh-installed Dynatrace Managed, the private Synthetic browser monitor screenshots are stored on the Cluster, and not uploaded to the S3 bucket. Contact Dynatrace ONE if you wish to enable Cluster-side screenshot storage on pre-1.216 fresh-installed Clusters. APM-292756). APM-288329). APM-290353).

Operating System 230

Operating System AWS Metrics Storage 230

Dynatrace

DECEMBER 16, 2021

Attackers have been exploiting the vulnerability to compromise virtualization infrastructure, install and execute ransomware, steal system credentials, take broad control of compromised networks, and exfiltrate data, according to a Microsoft report.

Internet 261

Internet Internet Games Java 261

Dynatrace

AUGUST 28, 2020

You can integrate Dynatrace with Azure for intelligent monitoring of services running in Azure Cloud. We’re happy to announce that now you can gain cloud monitoring excellence with Dynatrace for 15 additional Azure services, including: Azure Automation Account. Azure Data Lake Storage Gen1. Azure Network Interface.

Azure 155

Azure Cloud Tuning Monitoring 155

Dynatrace

JULY 29, 2021

Dynatrace also shows all data in context with visualizations that allow for slicing and dicing of monitored data across topological layers. Operations teams can leverage the same approach to improve analytics and insights into data storage, network devices, or even the room temperatures of specific server rooms.

Analytics 246

Analytics Open Source Serverless Architecture 246

Adrian Cockcroft

APRIL 18, 2018

Juvenal Photo taken in Lisbon Portugal by Adrian Cockcroft The documentation for most monitoring tools describes how to use that tool in isolation, often as if no other tools exist, but sometimes with ways to import or export some of the data to other tools. When auto-scaling is used monitoring is also part of a critical feedback loop.

Monitoring 40

Monitoring Systems Virtualization Metrics 40

Scalegrid

APRIL 28, 2020

Since database hosting is more dependent on memory (RAM) than storage, we are going to compare various instance sizes ranging from just 1GB of RAM up to 64GB of RAM so you can see how costs vary across different application workloads. DigitalOcean using the below instance types: AWS. EC2 instances. VM instances. DigitalOcean.

Azure 344

Azure AWS Database Latency 344