The document discusses six key areas for monitoring and improving a system: troubleshooting problems, assessing performance and costs, learning from problems to prevent them in the future, monitoring for trends that require scaling, and ensuring good customer experience. Each area is described in one line.
A quick presentation on JAVA Puzzlers inspired by the study of Eric Lefevre-Ardant and Guillaume Tardif. A few puzzlers to understand the tricks of the language.
A quick presentation on JAVA Puzzlers inspired by the study of Eric Lefevre-Ardant and Guillaume Tardif. A few puzzlers to understand the tricks of the language.
The NCAR RDA–Globus Integration: Experiences Developing a Modern Research Dat...Globus
This presentation was given at the 2019 GlobusWorld Conference in Chicago, IL by Riley Conroy from the National Center for Atmospheric Research (NCAR).
Building Streaming Recommendation Engines on Apache Spark with Rui VieiraDatabricks
Many of today’s most engaging—and commercially important—applications provide personalised experiences to users. Collaborative filtering algorithms capture the commonality between users and enable applications to make personalised recommendations quickly and efficiently.
The Alternating Least Squares (ALS) algorithm is still deemed the industry standard in collaborative filtering. In this talk Sophie will show you how to implement ALS using Apache Spark to build your own recommendation engine. Sophie will show that, by splitting the recommendation engine into multiple cooperating services, it is possible to reduce the system’s complexity and produce a robust collaborative filtering platform with support for continuous model training.
In this presentation you will learn how to build a recommendation system for the case where recorded data is explicitly given as a rating, as well as for the case where the data is less succinct. You will walk away from this talk with the knowledge and tools needed to implement your own recommendation system using collaborative filtering and microservices.
Ajax is the web's hottest user interface. Struts is Java's most popular web framework. What happens when we put Ajax on Struts?
In this session, we look at writing a new Struts 2 application from square one, using the Yahoo User Interface (YUI) Library on the front end, and Struts 2 on the backend. YUI provides the glitz and the glamour, and Struts 2 provides the dreary business logic, input validation, and text formatting.
During the session, we will cover
* How to integrate an Ajax UI with Struts 2
* Basics of the Yahoo User Interface (YUI) Library
* Business services Struts can provide to an Ajax UI
Who should attend: Ajax developers who would like to utilize Struts as a back-end, and Struts developers who would like to utilize Ajax as a front-end.
To get the most from this session, some familiarity with an Ajax library, like YUI or Dojo, is helpful.
Lets look at writing a new Struts 2 application from square one, using the Yahoo User Interface (YUI) Library on the front end, and Struts 2 on the backend. YUI provides the glitz and the glamour, and Struts 2 provides the dreary business logic, input validation, and text formatting.
What's old is what's new - or never been really fixed yet. Web developers still don't get client-side security is no security at all. Presentation given at SyScan Hong Kong conference.
Powering Heap With PostgreSQL And CitusDB (PGConf Silicon Valley 2015)Dan Robinson
At Heap, we lean on PostgreSQL for all our backend heavy lifting. We support an expressive set of queries — conversion funnels with filtering and grouping, retention analysis, and behavioral cohorting to name a few — across billions of users and tens of billions of events. Results need to come back in a matter of seconds and reflect up-to-the-minute data.
This talk will discuss these challenges, with a particular focus on:
- Using CitusDB for interactive analysis across 50 terabytes of data and counting.
- PostgreSQL and Kafka: two great tastes that taste great together.
- UDFs in C and PL/pgSQL, partial indexes for pre-aggregation, and other tricks up our sleeves.
Sentiment Analysis in Dynamics CRM using Azure Text AnalyticsLucas Alexander
Inside any organization's Microsoft Dynamics CRM system, there is a wealth of raw data that can be turned into actionable intelligence if it can be effectively analyzed. This data can be found in emails, case notes, attachments and other records that are created and stored in the course of day-to-day business. In this presentation Lucas Alexander, Dynamics CRM technical architect at Tribridge, shows how a custom integration with Microsoft Azure Machine Learning can be used to perform sentiment analysis on any data stored in Dynamics CRM.
Short (45 min) version of my 'Pragmatic Real-World Scala' talk. Discussing patterns and idioms discovered during 1.5 years of building a production system for finance; portfolio management and simulation.
SQL PASS 2017 - Building one million predictions per second using SQL Server ...Amit Banerjee
Using the power of OLTP and data transformation in SQL 2016 and advanced analytics in Microsoft R Server, various industries that really push the boundary of processing higher number of transaction per second (tps) for different use cases. In this talk, we will walk through the use case of predicting loan charge off (loan default) rate, architecture configuration that enable this use case, and rich visual dashboard that allow customer to do what-if analysis. Attend this session to find out how SQL + R allows you to build an “intelligent data warehouse”.
This is a talk which builds on my previous talk on how SQL Server 2016 helps build an intelligent data warehouse.
'NO EXCUSES FOR NOT WRITING TESTS!' by ANDRII SHUMADA @OdessaJS'2020OdessaJS Conf
Hey you! Why do you not writing tests? Maybe you don’t know why do you need to write them? Maybe you have doubts about who should write tests? Or your manager doesn’t give you time to write tests? Or you just don’t know how to write tests or choose the right technologies, or how to choose between UI, integration or unit test for your case? Come to my talk, and we will figure out that together!
Casting for not so strange Actos
- A presentation about the Actors pattern and a look at prototypes in 4 different programming languages - Jruby (Celluloid), Erlang, Elixir and Scala (Akka)
- Presented in "Strange Group Berlin" meetup on 12.03.2015 held at 6Wunderkinder
Flink Forward Berlin 2018: Jared Stehler - "Streaming ETL with Flink and Elas...Flink Forward
At Intellify we have implemented a system where we can create Flink apps for streaming ETL into normalized datasets in Elasticsearch, with schemas specified in Avro. Our data comes in via a single Kafka topic, but in different shapes depending on the originating source. To that end, we've developed a framework for implementing ETL apps in Flink. This framework supports nested and out-of-order streaming joins using a custom processing function, as well as a seeding source which can source input from our "data lake" in S3 and seamlessly transition to the live Kafka topic. Finally, the framework treats stream output as immutable using conceptual namespaces and aliasing in Elasticsearch, allowing us to iteratively develop new ETL features without disrupting existing users of the data set. This talk would give an overview of the streaming join algorithm and the custom seeding source function, as well as show our web UI for managing the streaming apps and data set.
The NCAR RDA–Globus Integration: Experiences Developing a Modern Research Dat...Globus
This presentation was given at the 2019 GlobusWorld Conference in Chicago, IL by Riley Conroy from the National Center for Atmospheric Research (NCAR).
Building Streaming Recommendation Engines on Apache Spark with Rui VieiraDatabricks
Many of today’s most engaging—and commercially important—applications provide personalised experiences to users. Collaborative filtering algorithms capture the commonality between users and enable applications to make personalised recommendations quickly and efficiently.
The Alternating Least Squares (ALS) algorithm is still deemed the industry standard in collaborative filtering. In this talk Sophie will show you how to implement ALS using Apache Spark to build your own recommendation engine. Sophie will show that, by splitting the recommendation engine into multiple cooperating services, it is possible to reduce the system’s complexity and produce a robust collaborative filtering platform with support for continuous model training.
In this presentation you will learn how to build a recommendation system for the case where recorded data is explicitly given as a rating, as well as for the case where the data is less succinct. You will walk away from this talk with the knowledge and tools needed to implement your own recommendation system using collaborative filtering and microservices.
Ajax is the web's hottest user interface. Struts is Java's most popular web framework. What happens when we put Ajax on Struts?
In this session, we look at writing a new Struts 2 application from square one, using the Yahoo User Interface (YUI) Library on the front end, and Struts 2 on the backend. YUI provides the glitz and the glamour, and Struts 2 provides the dreary business logic, input validation, and text formatting.
During the session, we will cover
* How to integrate an Ajax UI with Struts 2
* Basics of the Yahoo User Interface (YUI) Library
* Business services Struts can provide to an Ajax UI
Who should attend: Ajax developers who would like to utilize Struts as a back-end, and Struts developers who would like to utilize Ajax as a front-end.
To get the most from this session, some familiarity with an Ajax library, like YUI or Dojo, is helpful.
Lets look at writing a new Struts 2 application from square one, using the Yahoo User Interface (YUI) Library on the front end, and Struts 2 on the backend. YUI provides the glitz and the glamour, and Struts 2 provides the dreary business logic, input validation, and text formatting.
What's old is what's new - or never been really fixed yet. Web developers still don't get client-side security is no security at all. Presentation given at SyScan Hong Kong conference.
Powering Heap With PostgreSQL And CitusDB (PGConf Silicon Valley 2015)Dan Robinson
At Heap, we lean on PostgreSQL for all our backend heavy lifting. We support an expressive set of queries — conversion funnels with filtering and grouping, retention analysis, and behavioral cohorting to name a few — across billions of users and tens of billions of events. Results need to come back in a matter of seconds and reflect up-to-the-minute data.
This talk will discuss these challenges, with a particular focus on:
- Using CitusDB for interactive analysis across 50 terabytes of data and counting.
- PostgreSQL and Kafka: two great tastes that taste great together.
- UDFs in C and PL/pgSQL, partial indexes for pre-aggregation, and other tricks up our sleeves.
Sentiment Analysis in Dynamics CRM using Azure Text AnalyticsLucas Alexander
Inside any organization's Microsoft Dynamics CRM system, there is a wealth of raw data that can be turned into actionable intelligence if it can be effectively analyzed. This data can be found in emails, case notes, attachments and other records that are created and stored in the course of day-to-day business. In this presentation Lucas Alexander, Dynamics CRM technical architect at Tribridge, shows how a custom integration with Microsoft Azure Machine Learning can be used to perform sentiment analysis on any data stored in Dynamics CRM.
Short (45 min) version of my 'Pragmatic Real-World Scala' talk. Discussing patterns and idioms discovered during 1.5 years of building a production system for finance; portfolio management and simulation.
SQL PASS 2017 - Building one million predictions per second using SQL Server ...Amit Banerjee
Using the power of OLTP and data transformation in SQL 2016 and advanced analytics in Microsoft R Server, various industries that really push the boundary of processing higher number of transaction per second (tps) for different use cases. In this talk, we will walk through the use case of predicting loan charge off (loan default) rate, architecture configuration that enable this use case, and rich visual dashboard that allow customer to do what-if analysis. Attend this session to find out how SQL + R allows you to build an “intelligent data warehouse”.
This is a talk which builds on my previous talk on how SQL Server 2016 helps build an intelligent data warehouse.
'NO EXCUSES FOR NOT WRITING TESTS!' by ANDRII SHUMADA @OdessaJS'2020OdessaJS Conf
Hey you! Why do you not writing tests? Maybe you don’t know why do you need to write them? Maybe you have doubts about who should write tests? Or your manager doesn’t give you time to write tests? Or you just don’t know how to write tests or choose the right technologies, or how to choose between UI, integration or unit test for your case? Come to my talk, and we will figure out that together!
Casting for not so strange Actos
- A presentation about the Actors pattern and a look at prototypes in 4 different programming languages - Jruby (Celluloid), Erlang, Elixir and Scala (Akka)
- Presented in "Strange Group Berlin" meetup on 12.03.2015 held at 6Wunderkinder
Flink Forward Berlin 2018: Jared Stehler - "Streaming ETL with Flink and Elas...Flink Forward
At Intellify we have implemented a system where we can create Flink apps for streaming ETL into normalized datasets in Elasticsearch, with schemas specified in Avro. Our data comes in via a single Kafka topic, but in different shapes depending on the originating source. To that end, we've developed a framework for implementing ETL apps in Flink. This framework supports nested and out-of-order streaming joins using a custom processing function, as well as a seeding source which can source input from our "data lake" in S3 and seamlessly transition to the live Kafka topic. Finally, the framework treats stream output as immutable using conceptual namespaces and aliasing in Elasticsearch, allowing us to iteratively develop new ETL features without disrupting existing users of the data set. This talk would give an overview of the streaming join algorithm and the custom seeding source function, as well as show our web UI for managing the streaming apps and data set.
Доклад с митапа MSK .NET Community (http://mskdotnet.org).
Поговорим о самом мощном отладчике для Windows – WinDbg. Разберем как начать использовать этот отладчик, чем он может быть полезен для .NET разработчиков. Подробней остановимся на практических моментах его применения, зачем он прикладным программистам, web-разработчикам. Посмотрим и на другие инструменты отладки, которые занимают нишу между интуитивно управляемым комбайном Visual Studio и легким, но крайне аскетичным WinDbg.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
2. Troubleshooting & Remediation
-Where did the problem occur?
Performance & Cost
- How my changes impact overall performance?
Learning & Improvement
- Can I detect or prevent this problem in the future?
Trends
- Do I need to scale?
Customer Experience
- Are my customers getting a good experience?
1
11. Logstash
class LoggedInEvent
{
string Name
IPAddress Address
string[] Roles
}
A
P
P
String.Format(
"User {0} logged in
from {1}
with {2} roles", … )
L
o
g
{
string Name
string Address
string[] Roles
}
E
S
User Guest logged in from 127.0.0.1 with [Admin, God] roles
10
16. String.Format(
"User {0} logged in from {1} with {2} roles",
Name, Address, Roles)
{
EventType = UserLoggedIn
UserName = "Guest"
RemoteAddress = "127.0.0.1"
SecurityRoles = ["Admin", …]
}
E
v
e
n
t
Log.Information(
"User {UserName} logged in
from {RemoteAddress}
with {SecurityRoles} roles",
Name, Address, Roles)
S
e
r
i
l
o
g
15
17. Simple, ScalarValues
Collections
Dictionaries
Objects
String format specifier
Stringification and Destructuring
16
23. Quick install
Built with .NET
C#-like queries over structured data
Filters and dashboards
Lightweight but powerful
HTTP API
SeqApps
22