SQL Performance

APRIL 15, 2020

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Unfortunately, my excitement was short lived for a couple of reasons.

Azure 96

Azure Database Tuning Network 96

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Unlike data warehouses, however, data is not transformed before landing in storage. A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Data management.

Artificial Intelligence 201

Artificial Intelligence Storage Analytics Government 201

Dynatrace

NOVEMBER 11, 2022

Therefore, they need an environment that offers scalable computing, storage, and networking. Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management. What is hyperconverged infrastructure?

Infrastructure 194

Infrastructure Storage Virtualization Network 194

SQL Performance

NOVEMBER 18, 2019

Migrating an on-premises SQL Server instance to an Azure Virtual Machine (VM) is a common method to migrate to Azure. IT professionals are familiar with scoping the size of VMs with regards to vCPU, memory, and storage capacity. You'll see the types referenced as Family in the Azure Portal when sizing a VM. Generation.

Azure 76

Azure Benchmarking Storage Virtualization 76

Dynatrace

APRIL 21, 2022

Log data analysis. Configuration API for AWS and Azure supporting services. You can now get a list of all AWS and Azure supporting services on your cluster, by current version, using the AWS credentials API and Azure credentials API respectively. Problem detection and analysis. Log Monitoring. APM-362217).

Azure 209

Azure Metrics AWS Monitoring 209

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? The Site Reliability Guardian also helps keep your production environment safe and secure through automated change impact analysis. We’d love to hear your suggestions and ideas.

AWS 240

AWS Efficiency Azure Cloud 240

Scalegrid

JUNE 9, 2020

DigitalOcean instance costs are also over 28% less expensive than AWS, and over 26% less than Azure, providing significant savings for companies who are struggling in this global climate. To compare more features, check out their ScaleGrid vs. DigitalOcean MySQL , ScaleGrid vs. DigitalOcean PostgreSQL and ScaleGrid vs.

Availability 227

Availability Open Source Benchmarking Database 227

Dynatrace

JANUARY 31, 2024

OpenPipeline high-performance filtering and preprocessing provides full ingest and storage control for the Dynatrace platform. Such transformations can reduce storage costs by 99%. It also offers built-in data transformation features that reduce storage costs by up to 99%.

Analytics 189

Analytics Processing Transportation Storage 189

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

Dynatrace

AUGUST 21, 2023

The collector processes the data and exports it to a predetermined monitoring, tracing, or logging back end, such as Dynatrace, for analysis. Challenges of adopting OpenTelemetry The first challenge is that OpenTelemetry only gathers and processes data—it has no back end, no storage, and no analytics.

Open Source 189

Open Source Analytics Lambda Metrics 189

Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). The need for runtime security observability is growing to automate vulnerability impact analysis.

Open Source 337

Open Source Java Operating System Programming 337

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Using GCF within a video analysis workflow. What is Google Cloud Functions? GCF use cases.

Google 214

Google Cloud Serverless Azure 214

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. Additionally.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JANUARY 20, 2022

Azure supporting services (Synapse Analytics). RUM linking timeouts adjusted in transaction storage. (APM-341299). Resolved minor data inconsistencies between multidimensional analysis and Data explorer involving long-lasting requests. (APM-343328). Masking v1. Masking v2. Apache Spark pool metrics are replaced with new ones.

Lambda 174

Lambda AWS Metrics Azure 174

Dynatrace

AUGUST 24, 2020

Based on this analysis, these systems can take actions such as alerting or remediation. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. Dynatrace root cause analysis documentation . Further reading about Application Monitoring: .

Analytics 234

Analytics Infrastructure AWS Operating System 234

Dynatrace

NOVEMBER 20, 2023

 Using fault-tree analysis, this kind of AI provides critical detail about how its models arrive at a given conclusion. Dynatrace ingests this data to perform root-cause analysis. To solve this problem, organizations can use causal AI and predictive AI to provide that high-quality input.

AWS 203

AWS Artificial Intelligence Analytics Cloud 203

Scalegrid

JULY 29, 2019

Host MySQL on AWS , or MySQL on Azure with configurable instance sizes through the top two cloud providers in the world. Keep an eye on your database performance with advanced monitoring tools and query analysis for your database workload. We support two different MySQL DBaaS plans on both AWS and Azure. Monitoring & Alerts.

Database 166

Database Cloud Website Azure 166

Scalegrid

JANUARY 8, 2024

Artificial intelligence can automate tasks ranging from: data analysis resource provisioning system maintenance decision-making natural language processing This not only improves accuracy and reliability but also frees up valuable time for IT teams to focus on strategic tasks, such as resource management on platforms like Google Cloud.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Scalegrid

OCTOBER 7, 2019

This leaves our last cloud provider – Microsoft Azure, who represented 3.2% This is one of the most shocking discoveries, as Azure was tied for second with GCP back in April, and is commonly a popular choice for enterprise organizations leveraging the Microsoft suite of services. of PostgreSQL hosting.

Strategy 182

Strategy Cloud Java Open Source 182

Dynatrace

AUGUST 24, 2020

Based on th is analysis , these systems can take actions such as alerting or remediation. Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. . Dynatrace root cause analysis documentation . Dynatrace SaaS-vendor real user monitoring .

Analytics 134

Analytics Infrastructure AWS Operating System 134

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. The Kubernetes experience.

Virtualization 159

Virtualization Infrastructure Monitoring Cloud 159

Dynatrace

NOVEMBER 29, 2021

Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. Access a wide ecosystem of partners with open-source and cloud-native technologies. How OpenShift enhances Kubernetes.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.

Logistics 52

Logistics Retail Analytics Azure 52

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia.

AWS 52

AWS Energy IoT Best Practices 52

Brendan Gregg

FEBRUARY 28, 2023

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 110

Performance Latency Cache Virtualization 110

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. Another important view is the historical data across all nodes, which allows administrators to spot deployment imbalances as well as under or overprovisioned nodes: The node analysis view makes it easy to spot deployment imbalances as well as misconfigured and unhealthy nodes. #3

AWS 127

AWS Monitoring Ecommerce Lambda 127

The Morning Paper

FEBRUARY 20, 2020

… based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data. Static analysis and the IR. It can’t handle loops for example (an analysis of 4.6M pruning).

Processing 72

Processing Hardware Database Azure 72

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The following diagram illustrates a typical workflow. Conventional streaming analytics architectures have not kept up with the growing demands of IoT.

IoT 78

IoT Analytics Big Data Architecture 78

Adrian Cockcroft

APRIL 5, 2023

This would open up opportunities to leverage existing performance monitoring tools and dashboards, extend optimization tools like autoscalers and schedulers, and to build new kinds of carbon analysis and optimization tools and services. There are also control plane overheads, shared storage volumes and supporting services to instrument.

Energy 52

Energy Metrics Cloud Operating System 52

Brendan Gregg

FEBRUARY 28, 2023

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 52

Performance Latency Cache Virtualization 52

Abhishek Tiwari

JULY 22, 2023

Checkov: Checkov is a static code analysis tool. Sentinel policies are written to enforce rules such as: Requiring encryption for all Amazon S3 buckets and Azure Blob Storage containers. Checkov scans IAC files for misconfigurations that may lead to security or compliance problems.,

AWS 52

AWS Best Practices Infrastructure Traffic 52

High Scalability

APRIL 16, 2019

At ScaleGrid, we offer highly available hosting for MySQL on AWS and MySQL on Azure that is implemented based on the concepts explained in this blog series. This concludes our 3-part blog series on the MySQL High Availability (HA) framework using semisynchronous replication and the Corosync plus Pacemaker stack.

Availability 149

Availability Network Azure AWS 149

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52