Graphite

•Download as PPTX, PDF•

0 likes•989 views

G

Graphite presentation at Triagle Devops Meetup host on 9/19/2013

Technology Business

“Collect Everything!”
GRAPHITE

Why collect data?
- Problem Determination
- Root Cause Analysis
- Performance Optimization
- Cost optimization
- Reporting
- Forecasting

Why Graphite?
- Powerful UI
- Highly scalable
- No central configuration
- Lots of Supporting tools
- Collectd
- Statsd
- Dashboards

Powerful UI
- Pulling data
- Correlating data
- Aggregating data
- Manipulating Data

Highly Scalable
- Metrics are queued
- I/O nice
- 40,000+ metrics/minute on 1CPU
3G VM

How to scale?
- Big $$$ storage
- Mount multiple independent RAID
partitions
- Multiple Graphite instances
- Deduplication

No Central Configuration
- Push metrics from anywhere
- Clients available for many
programming languages
- Write data to socket in standard
format
<Metric.name> <value>
<timestamp>

Supporting tools
Collectd
- Metric collection daemon
- Plugin based
- Support for…
- Apache
- JMX
- Load
- Memory
- Disk I/O and usage
- Etc.

Supporting tools
Statsd
- Metrics are submitted to buckets
- Buckets flush on a regular interval
- Aggregated metrics are written to graphite
- Useful for application metrics
- Support for…
- Counters
- Timers
- Guages
- Sets

Supporting tools
Dashboards
- Graphite
- Descartes
- Cubism
- Tasseo

Glenn Poston
- Twitter: gposton
- Github: gposton
- Blog: www.glennposton.com

More Related Content

What's hot

With the implementation of the new Altalis Platform, Altalis continues to distribute a variety of spatial data products in various formats that span Alberta and elsewhere. To fulfill translation requests, a number of factors determine the automated workflow, such as by a data update or delivery task, by product, by format, and more. We will showcase how we used FME Workbench and FME Server as a core component of the application platform to perform the translations and the optimizations we implemented.

Under the hood of the Altalis Platform

Under the hood of the Altalis Platform

Under the hood of the Altalis Platform

Torkel Ödegaard (Creator of Grafana) - Grafana at #DOXLON

Torkel Ödegaard (Creator of Grafana) - Grafana at #DOXLON

Torkel Ödegaard (Creator of Grafana) - Grafana at #DOXLON

Integrating Utility Data into a SCADA Dashboard

Integrating Utility Data into a SCADA Dashboard

Integrating Utility Data into a SCADA Dashboard

Automating Quality Control

Automating Quality Control

Automating Quality Control

AdTech companies need to address data increase at breakneck speed along with customer demands of insights & analytical reports. At PubMatic we receive billions of events and several TBs of data per day from various geographic regions. This high volume data needs to be processed in realtime to derive actionable insights such as campaign decisions, audience targeting and also provide feedback loop to AdServer for making efficient ad serving decisions. In this talk we will share how we designed and implemented these scalable low latency realtime data processing solutions for our use cases using Apache Apex.

RealTime AdTech reporting & targeting with Apache Apex

RealTime AdTech reporting & targeting with Apache Apex

RealTime AdTech reporting & targeting with Apache Apex

Tableau training in hyderabad

Tableau training in hyderabad

Tableau training in hyderabad

Sathya Technologies

Spreadsheets To API

Spreadsheets To API

Spreadsheets To API

2014 Tableau Conference Overview - Twin Cities Tableau User Group - October 2014

2014 Tableau Conference Overview - Twin Cities Tableau User Group - October 2014

2014 Tableau Conference Overview - Twin Cities Tableau User Group - October 2014

Integrations

In the US, state Departments of Transportation (DOTs) face some unique challenges, including spatial and LRS data process and representation, which are above and beyond those experienced by most other enterprises. The Arizona Department of Transportation’s (ADOT) leverages FME technologies to connect the data silos, enable data visualization and discovery, harmonize LRS, spatial and non-spatial datasets, and weave best practices into a strong data governance fabric. The presentation shows how FME is used to enables and orchestrates the workflows, dashboards, metadata, quality control and data improvement.

FME in Support of DOT Data Culture

FME in Support of DOT Data Culture

FME in Support of DOT Data Culture

Highlights of zwcad_mechanical_2012

Highlights of zwcad_mechanical_2012

Highlights of zwcad_mechanical_2012

SAP & SQL Server 2005 Reporting Services (with Dundas Map) Integration

SAP & SQL Server 2005 Reporting Services (with Dundas Map) Integration

SAP & SQL Server 2005 Reporting Services (with Dundas Map) Integration

Google Cloud Data Platform - Why Google for Data Analysis?

Google Cloud Data Platform - Why Google for Data Analysis?

Google Cloud Data Platform - Why Google for Data Analysis?

Creating a Unified Marine Spatial Planning and Management Environment

Creating a Unified Marine Spatial Planning and Management Environment

Creating a Unified Marine Spatial Planning and Management Environment

Keith VanGraafeiland

Next Generation Data Platforms - Deon Thomas

Next Generation Data Platforms - Deon Thomas

Next Generation Data Platforms - Deon Thomas

Life occurs in real-time, and not surprisingly, more solutions are being built using streaming technologies. Event-based architectures are becoming the norm, and customers are expecting immediate access to their data. This new world offers many exciting opportunities, but also some new challenges. What do you do when your streaming data is not complete? What if it relies on another data source? Does the dependent data exist yet, and does it come from a 3rd party? How do we merge a complete picture of data when data is sourcing from multiple places at the same time? A new norm in the world of distributed services. Join us as we dive deep into the technical details around these scenarios and more. Expect to learn about stream-stream joins, enriching stream data using local or remote data, and ways to anticipate and correct errors within the stream. Leave with a better understanding of managing data dependencies within a Spark Structured Streaming application.

Life is but a Stream

Life is but a Stream

Life is but a Stream

Using Job Management Systems for Resurfacing Contracts

Using Job Management Systems for Resurfacing Contracts

Using Job Management Systems for Resurfacing Contracts

Web GIS

Airflow techtonic template

Airflow techtonic template

Airflow techtonic template

Start planning your data strategy for 2018 with our webinar on Amazon Redshift. Whether you are a seasoned Amazon Redshift user, or just getting started, our webinar slides will show you all the tips and tricks to quickly and easily get moving and start working with your data in Amazon Redshift. Learn how Amazon Redshift can help you quickly and effortlessly analyze your data to make smart business decisions, and how Matillion ETL can help you save time and money by getting your data into Amazon Redshift in just a few minutes. In this webinar learn: - An overview of petabyte scale data warehouses, the architecture, and use cases - An introduction to Amazon Redshift’s parallel processing, columnar, and scaled out architecture - Learn how to configure your data warehouse cluster, optimize your scheme, and quickly load your data - An overview of all the latest features of Amazon Redshift - How Matillion ETL works with Amazon Redshift and can help you load massive amounts of data in minutes

Kickstart your data strategy for 2018: Getting started with Amazon Redshift

Kickstart your data strategy for 2018: Getting started with Amazon Redshift

Kickstart your data strategy for 2018: Getting started with Amazon Redshift

What's hot (20)

Under the hood of the Altalis Platform

Under the hood of the Altalis Platform

Under the hood of the Altalis Platform

Torkel Ödegaard (Creator of Grafana) - Grafana at #DOXLON

Torkel Ödegaard (Creator of Grafana) - Grafana at #DOXLON

Torkel Ödegaard (Creator of Grafana) - Grafana at #DOXLON

Integrating Utility Data into a SCADA Dashboard

Integrating Utility Data into a SCADA Dashboard

Integrating Utility Data into a SCADA Dashboard

Automating Quality Control

Automating Quality Control

Automating Quality Control

RealTime AdTech reporting & targeting with Apache Apex

RealTime AdTech reporting & targeting with Apache Apex

RealTime AdTech reporting & targeting with Apache Apex

Tableau training in hyderabad

Tableau training in hyderabad

Tableau training in hyderabad

Spreadsheets To API

Spreadsheets To API

Spreadsheets To API

2014 Tableau Conference Overview - Twin Cities Tableau User Group - October 2014

2014 Tableau Conference Overview - Twin Cities Tableau User Group - October 2014

2014 Tableau Conference Overview - Twin Cities Tableau User Group - October 2014

Integrations

FME in Support of DOT Data Culture

FME in Support of DOT Data Culture

FME in Support of DOT Data Culture

Highlights of zwcad_mechanical_2012

Highlights of zwcad_mechanical_2012

Highlights of zwcad_mechanical_2012

SAP & SQL Server 2005 Reporting Services (with Dundas Map) Integration

SAP & SQL Server 2005 Reporting Services (with Dundas Map) Integration

SAP & SQL Server 2005 Reporting Services (with Dundas Map) Integration

Google Cloud Data Platform - Why Google for Data Analysis?

Google Cloud Data Platform - Why Google for Data Analysis?

Google Cloud Data Platform - Why Google for Data Analysis?

Creating a Unified Marine Spatial Planning and Management Environment

Creating a Unified Marine Spatial Planning and Management Environment

Creating a Unified Marine Spatial Planning and Management Environment

Next Generation Data Platforms - Deon Thomas

Next Generation Data Platforms - Deon Thomas

Next Generation Data Platforms - Deon Thomas

Life is but a Stream

Life is but a Stream

Life is but a Stream

Using Job Management Systems for Resurfacing Contracts

Using Job Management Systems for Resurfacing Contracts

Using Job Management Systems for Resurfacing Contracts

Web GIS

Airflow techtonic template

Airflow techtonic template

Airflow techtonic template

Kickstart your data strategy for 2018: Getting started with Amazon Redshift

Kickstart your data strategy for 2018: Getting started with Amazon Redshift

Kickstart your data strategy for 2018: Getting started with Amazon Redshift

Similar to Graphite

Having grown 6666x in the last 3 years; the data generated has grown exponentially. As a Data Engineer at GoJEK, we faced the issue with having our complete team managing infrastructure requests. This led us to create an internal portal for other teams to self-provision their data. This talk is divided into two parts. In the first part, I will cover details about how we have scaled our data engineering infrastructure to manage the scale of more than 40 million messages per day. I will explain the data consumption, aggregation, monitoring and cold storage. This will also cover details about how we scaled our infrastructure to achieve the scale that we are at today. In the second part, I will cover how we created our internal portal for infrastructure orchestration. The infrastructure backed by kubernetes enables teams to self-provision data infrastructure without any supervision.

OSDC 2019 | Democratizing Data at Go-JEK by Maulik Soneji

OSDC 2019 | Democratizing Data at Go-JEK by Maulik Soneji

OSDC 2019 | Democratizing Data at Go-JEK by Maulik Soneji

This session will explain how you can leverage the MySQL-StatsD collector, StatsD and Graphite to monitor your database performance with metrics sent every second. In the past few years Graphite has become the de facto standard for monitoring large and scalable infrastructures. This session will cover the architecture, functional basics and dashboard creation using Grafana. MySQL-StatsD is really easy to set up and configure. It will allow you to fetch your most important metrics from MySQL, run your own custom queries to parse your production data and if necessary transform this data into something different that can be used as a metric. Having this data with a fine granularity allows you to correlate your production data, system metrics with your MySQL performance metrics. MySQL-StatsD is a daemon written in Python that was created during one of the hackdays at my previous employer (Spil Games) to solve the issue of fetching data from MySQL using a light weight client and send metrics to StatsD. I currently maintain this open source project on Github as it is my duty as creator of the project to look after it.

MySQL performance monitoring using Statsd and Graphite

MySQL performance monitoring using Statsd and Graphite

MySQL performance monitoring using Statsd and Graphite

During this lunch, we’ll review open-source reverse ETL tools to uncover how to send data back to SaaS systems. Sign Up For Our Newsletter: http://eepurl.com/grdMkn Join Data Engineer’s Lunch Weekly at 12 PM EST Every Monday: https://www.meetup.com/Data-Wranglers-DC/events/ Cassandra.Link: https://cassandra.link/ Follow Us and Reach Us At: Anant: https://www.anant.us/ Awesome Cassandra: https://github.com/Anant/awesome-cassandra Email: solutions@anant.us LinkedIn: https://www.linkedin.com/company/anant/ Twitter: https://twitter.com/anantcorp Eventbrite: https://www.eventbrite.com/o/anant-1072927283 Facebook: https://www.facebook.com/AnantCorp/ Join The Anant Team: https://www.careers.anant.us #data #dataengineering #datagovernance

Data Engineer's Lunch #81: Reverse ETL Tools for Modern Data Platforms

Data Engineer's Lunch #81: Reverse ETL Tools for Modern Data Platforms

Data Engineer's Lunch #81: Reverse ETL Tools for Modern Data Platforms

Anant Corporation

Operational Intelligence Using Hadoop

Operational Intelligence Using Hadoop

Operational Intelligence Using Hadoop

DataWorks Summit

ScyllaDB, along side some of the other major distributed real-time technologies gives businesses a unique opportunity to achieve enterprise consciousness - a business platform that delivers data to the people that need when they need it any time, anywhere. This talk covers how modern tools in the open data platform can help companies synchronize data across their applications using open source tools and technologies and more modern low-code ETL/ReverseETL tools. Topics: - Business Platform Challenges - What Enterprise Consciousness Solves - How ScyllaDB Empowers Enterprise Consciousness - What can ScyllaDB do for Big Companies - What can ScyllaDB do for smaller companies.

Developing Enterprise Consciousness: Building Modern Open Data Platforms

Developing Enterprise Consciousness: Building Modern Open Data Platforms

Developing Enterprise Consciousness: Building Modern Open Data Platforms

An in-depth look at the design and development of the Crate Machine Data Platform, a highly scalable SQL system built to integrate, enrich, and analyze Industrial IoT & Smart City data in real time. We hope our learnings building the CrateMDP will help you with your machine data challenges. Audience: Database and software technologists building IoT, Industry 4.0, and other Smart Systems. Agenda: - Machine Data Platform use cases - Machine data management requirements - SQL vs. Time Series vs. NoSQL DBMS choices - Machine Data Platform architectural choices: DBMS, Containers, - Identity Management, Loading, Enriching, Monitoring - Crate MDP - Deployment and operations

CrateDB Machine Data Platform Webinar

CrateDB Machine Data Platform Webinar

CrateDB Machine Data Platform Webinar

Caroline Stewart

Introducing the All New WSO2 BAM 2.0

Introducing the All New WSO2 BAM 2.0

Introducing the All New WSO2 BAM 2.0

NoSQL meetup July 2011

NoSQL meetup July 2011

NoSQL meetup July 2011

Simplicity, accuracy, speed; these are three things everyone wants from their data architecture. Join this webinar presented by Behzad Pirvali, Performance Architect at MaxCDN and Peter Vescuso, CMO at VoltDB to learn how MaxCDN used VoltDB, the world’s fastest operational DB with fast data pipeline, to reduce the number of managed environments by 2/3 times with 1/10th of CPU cycles required with alternative solutions. All while achieving 100% billing accuracy on 32 TB of daily web server data. The fill recording of this webinar is also available here: http://learn.voltdb.com/WRMaxCDN.html

Using a Fast Operational Database to Build Real-time Streaming Aggregations

Using a Fast Operational Database to Build Real-time Streaming Aggregations

Using a Fast Operational Database to Build Real-time Streaming Aggregations

A SAP High-Performance Analytic Appliance (HANA) is a data warehouse appliance for processing high volumes of operational and transactional data in real-time. HANA uses in-memory analytics, an approach that queries data stored in random access memory (RAM) instead of on hard disk or flash storage. A HANA appliance uses an SAP Sybase replication server to copy and synchronize data from an SAP data warehouse or enterprise resource planning (ERP) application in real-time.

Saphana

Pivotal Real Time Data Stream Analytics

Pivotal Real Time Data Stream Analytics

Pivotal Real Time Data Stream Analytics

Logging, Metrics, and APM: The Operations Trifecta (P)

Logging, Metrics, and APM: The Operations Trifecta (P)

Logging, Metrics, and APM: The Operations Trifecta (P)

Hadoop has been widely embraced for its ability to economically store and analyze large data sets. Using parallel computing techniques like MapReduce, Hadoop can reduce long computation times to hours or minutes. This works well for mining large volumes of historical data stored on disk, but it is not suitable for gaining real-time insights from live operational data. Still, the idea of using Hadoop for real-time data analytics on live data is appealing because it leverages existing programming skills and infrastructure – and the parallel architecture of Hadoop itself. This presentation will describe how real-time analytics using Hadoop can be performed by combining an in-memory data grid (IMDG) with an integrated, stand-alone Hadoop MapReduce execution engine. This new technology delivers fast results for live data and also accelerates the analysis of large, static data sets.

Making Hadoop Realtime by Dr. William Bain of Scaleout Software

Making Hadoop Realtime by Dr. William Bain of Scaleout Software

Making Hadoop Realtime by Dr. William Bain of Scaleout Software

OSDC 2014: Devdas Bhagat - Graphite: Graphs for the modern age

OSDC 2014: Devdas Bhagat - Graphite: Graphs for the modern age

OSDC 2014: Devdas Bhagat - Graphite: Graphs for the modern age

InfoSphere BigInsights - Analytics power for Hadoop - field experience

InfoSphere BigInsights - Analytics power for Hadoop - field experience

InfoSphere BigInsights - Analytics power for Hadoop - field experience

Loading Data into Amazon Redshift

Loading Data into Amazon Redshift

Loading Data into Amazon Redshift

Amazon Web Services

The role of AWS in the Datalandscape of a fast growing Startup

The role of AWS in the Datalandscape of a fast growing Startup

The role of AWS in the Datalandscape of a fast growing Startup

Maximilian Ehrlich

Graphite at CityGrid - LA DevOps April 2014

Graphite at CityGrid - LA DevOps April 2014

Graphite at CityGrid - LA DevOps April 2014

The Lyft data platform: Now and in the future

The Lyft data platform: Now and in the future

The Lyft data platform: Now and in the future

Lyft data Platform - 2019 slides

Lyft data Platform - 2019 slides

Lyft data Platform - 2019 slides

Karthik Murugesan

Similar to Graphite (20)

OSDC 2019 | Democratizing Data at Go-JEK by Maulik Soneji

OSDC 2019 | Democratizing Data at Go-JEK by Maulik Soneji

OSDC 2019 | Democratizing Data at Go-JEK by Maulik Soneji

MySQL performance monitoring using Statsd and Graphite

MySQL performance monitoring using Statsd and Graphite

MySQL performance monitoring using Statsd and Graphite

Data Engineer's Lunch #81: Reverse ETL Tools for Modern Data Platforms

Data Engineer's Lunch #81: Reverse ETL Tools for Modern Data Platforms

Data Engineer's Lunch #81: Reverse ETL Tools for Modern Data Platforms

Operational Intelligence Using Hadoop

Operational Intelligence Using Hadoop

Operational Intelligence Using Hadoop

Developing Enterprise Consciousness: Building Modern Open Data Platforms

Developing Enterprise Consciousness: Building Modern Open Data Platforms

Developing Enterprise Consciousness: Building Modern Open Data Platforms

CrateDB Machine Data Platform Webinar

CrateDB Machine Data Platform Webinar

CrateDB Machine Data Platform Webinar

Introducing the All New WSO2 BAM 2.0

Introducing the All New WSO2 BAM 2.0

Introducing the All New WSO2 BAM 2.0

NoSQL meetup July 2011

NoSQL meetup July 2011

NoSQL meetup July 2011

Using a Fast Operational Database to Build Real-time Streaming Aggregations

Using a Fast Operational Database to Build Real-time Streaming Aggregations

Using a Fast Operational Database to Build Real-time Streaming Aggregations

Saphana

Pivotal Real Time Data Stream Analytics

Pivotal Real Time Data Stream Analytics

Pivotal Real Time Data Stream Analytics

Logging, Metrics, and APM: The Operations Trifecta (P)

Logging, Metrics, and APM: The Operations Trifecta (P)

Logging, Metrics, and APM: The Operations Trifecta (P)

Making Hadoop Realtime by Dr. William Bain of Scaleout Software

Making Hadoop Realtime by Dr. William Bain of Scaleout Software

Making Hadoop Realtime by Dr. William Bain of Scaleout Software

OSDC 2014: Devdas Bhagat - Graphite: Graphs for the modern age

OSDC 2014: Devdas Bhagat - Graphite: Graphs for the modern age

OSDC 2014: Devdas Bhagat - Graphite: Graphs for the modern age

InfoSphere BigInsights - Analytics power for Hadoop - field experience

InfoSphere BigInsights - Analytics power for Hadoop - field experience

InfoSphere BigInsights - Analytics power for Hadoop - field experience

Loading Data into Amazon Redshift

Loading Data into Amazon Redshift

Loading Data into Amazon Redshift

The role of AWS in the Datalandscape of a fast growing Startup

The role of AWS in the Datalandscape of a fast growing Startup

The role of AWS in the Datalandscape of a fast growing Startup

Graphite at CityGrid - LA DevOps April 2014

Graphite at CityGrid - LA DevOps April 2014

Graphite at CityGrid - LA DevOps April 2014

The Lyft data platform: Now and in the future

The Lyft data platform: Now and in the future

The Lyft data platform: Now and in the future

Lyft data Platform - 2019 slides

Lyft data Platform - 2019 slides

Lyft data Platform - 2019 slides

Recently uploaded

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Developing An App To Navigate The Roads of Brazil

Developing An App To Navigate The Roads of Brazil

Developing An App To Navigate The Roads of Brazil

Tech Trends Report 2024 Future Today Institute.pdf

Tech Trends Report 2024 Future Today Institute.pdf

Tech Trends Report 2024 Future Today Institute.pdf

Advantages of Hiring UIUX Design Service Providers for Your Business

Advantages of Hiring UIUX Design Service Providers for Your Business

Advantages of Hiring UIUX Design Service Providers for Your Business

Pixlogix Infotech

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Anna Loughnan Colquhoun

Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The value of a flexible API Management solution for O...

Apidays New York 2024 - The value of a flexible API Management solution for O...

Apidays New York 2024 - The value of a flexible API Management solution for O...

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

What is a good lead in your organisation? Which leads are priority? What happens to leads? When sales and marketing give different answers to these questions, or perhaps aren't sure of the answers at all, frustrations build and opportunities are left on the table. Join us for an illuminating session with Cian McLoughlin, HubSpot Principal Customer Success Manager, as we look at that crucial piece of the customer journey in which leads are transferred from marketing to sales.

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

2024: Domino Containers - The Next Step. News from the Domino Container commu...

2024: Domino Containers - The Next Step. News from the Domino Container commu...

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Martijn de Jong

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

Remote DBA Services

This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

Powerful Google developer tools for immediate impact! (2023-24 C)

Powerful Google developer tools for immediate impact! (2023-24 C)

Powerful Google developer tools for immediate impact! (2023-24 C)

🐬 The future of MySQL is Postgres 🐘

🐬 The future of MySQL is Postgres 🐘

🐬 The future of MySQL is Postgres 🐘

Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

The Digital Insurer

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

Recently uploaded (20)

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Developing An App To Navigate The Roads of Brazil

Developing An App To Navigate The Roads of Brazil

Developing An App To Navigate The Roads of Brazil

Tech Trends Report 2024 Future Today Institute.pdf

Tech Trends Report 2024 Future Today Institute.pdf

Tech Trends Report 2024 Future Today Institute.pdf

Advantages of Hiring UIUX Design Service Providers for Your Business

Advantages of Hiring UIUX Design Service Providers for Your Business

Advantages of Hiring UIUX Design Service Providers for Your Business

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

Apidays New York 2024 - The value of a flexible API Management solution for O...

Apidays New York 2024 - The value of a flexible API Management solution for O...

Apidays New York 2024 - The value of a flexible API Management solution for O...

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

2024: Domino Containers - The Next Step. News from the Domino Container commu...

2024: Domino Containers - The Next Step. News from the Domino Container commu...

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

Powerful Google developer tools for immediate impact! (2023-24 C)

Powerful Google developer tools for immediate impact! (2023-24 C)

Powerful Google developer tools for immediate impact! (2023-24 C)

🐬 The future of MySQL is Postgres 🐘

🐬 The future of MySQL is Postgres 🐘

🐬 The future of MySQL is Postgres 🐘

Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

Graphite

1. “Collect Everything!” GRAPHITE

2. Why collect data? - Problem Determination - Root Cause Analysis - Performance Optimization - Cost optimization - Reporting - Forecasting

3. Why Graphite? - Powerful UI - Highly scalable - No central configuration - Lots of Supporting tools - Collectd - Statsd - Dashboards

4. Powerful UI - Pulling data - Correlating data - Aggregating data - Manipulating Data

5. Highly Scalable - Metrics are queued - I/O nice - 40,000+ metrics/minute on 1CPU 3G VM

6. How to scale? - Big $$$ storage - Mount multiple independent RAID partitions - Multiple Graphite instances - Deduplication

7. No Central Configuration - Push metrics from anywhere - Clients available for many programming languages - Write data to socket in standard format <Metric.name> <value> <timestamp>

8. Supporting tools Collectd - Metric collection daemon - Plugin based - Support for… - Apache - JMX - Load - Memory - Disk I/O and usage - Etc.

9. Supporting tools Statsd - Metrics are submitted to buckets - Buckets flush on a regular interval - Aggregated metrics are written to graphite - Useful for application metrics - Support for… - Counters - Timers - Guages - Sets

10. Supporting tools Dashboards - Graphite - Descartes - Cubism - Tasseo

11. Glenn Poston - Twitter: gposton - Github: gposton - Blog: www.glennposton.com