In this guide, we'll delve into the differences between APM vs observability, explore the fundamentals of OpenTelemetry, and discuss the importance of telemetry in observability.
A Comprehensive Look at Application Observability_ What it is and Why it Matt...kalichargn70th171
In today's dynamic market, the success of businesses hinges on the performance of their software applications. Ensuring optimal performance has become paramount with increasing availability, speed, and real-time problem-solving demands.
Elevating Your Application's Performance_ Observability Best Practices and Py...Stackify
Observability has become a crucial aspect of modern application development and operations. It refers to the ability to understand and debug complex systems through metrics, logs, and traces. In this guide, we'll delve into observability best practices, the importance of application log analysis, and how Python tracing can enhance your application's performance.
How to choose the best IT infrastructure monitoring tool for your businessDevLabs Global
Infrastructure monitoring refers to a set of practices, tools, and technologies used to monitor and manage the performance, availability, and health of an organization’s IT infrastructure. It involves the continuous monitoring of various components within an infrastructure, such as servers, networks, databases, applications, and other critical systems. A typical IT infrastructure monitoring tools offers a range of features and functionalities to ensure the smooth operation and optimal performance of an organization’s IT systems.
A Comprehensive Look at Application Observability_ What it is and Why it Matt...kalichargn70th171
In today's dynamic market, the success of businesses hinges on the performance of their software applications. Ensuring optimal performance has become paramount with increasing availability, speed, and real-time problem-solving demands.
Elevating Your Application's Performance_ Observability Best Practices and Py...Stackify
Observability has become a crucial aspect of modern application development and operations. It refers to the ability to understand and debug complex systems through metrics, logs, and traces. In this guide, we'll delve into observability best practices, the importance of application log analysis, and how Python tracing can enhance your application's performance.
How to choose the best IT infrastructure monitoring tool for your businessDevLabs Global
Infrastructure monitoring refers to a set of practices, tools, and technologies used to monitor and manage the performance, availability, and health of an organization’s IT infrastructure. It involves the continuous monitoring of various components within an infrastructure, such as servers, networks, databases, applications, and other critical systems. A typical IT infrastructure monitoring tools offers a range of features and functionalities to ensure the smooth operation and optimal performance of an organization’s IT systems.
What Is OpenTelemetry? A Complete IntroductionCiente
Discover the power of OpenTelemetry: a community-driven endeavor that provides developers with continuous innovation and improvement for unraveling application intricacies and enhancing performance.
Explore seamless Jaeger integration with Spring Cloud for streamlined application monitoring and enhanced performance. Learn how to leverage distributed tracing capabilities for efficient microservices management.
Real Time Systems,Issues of real time system,Notations, state oriented Petrinets,Milestones, Walkthroughs, Inspections, Test plans,Functional test,Performance test,Stress test,Structural test
How Observability and Explainability Benefit the SDLCCloudZenix LLC
Observability and explainability are crucial for a seamless software development life cycle (SDLC). Observability enables real-time monitoring, troubleshooting, and optimization, ensuring smooth operations. Explainability helps understand AI models' decisions, improving transparency and trust. Read more: https://cloudzenix.com/
Observability for Application Developers (1)-1.pptxOpsTree solutions
Observability for application developers is the ability to gain insights into an application's internal workings, understand its behavior, and diagnose issues effectively. It involves collecting, analyzing, and visualizing data like logs, metrics, and traces, allowing developers to monitor performance, identify bottlenecks, and troubleshoot in real-time. This proactive approach leads to faster problem resolution, improved system reliability, and an enhanced overall user experience. Key components include logging, metrics, and transaction tracing for a comprehensive understanding of an application's health and performance.
Software Architecture Standard IEEE 1471vconovalov
This presentation covers the IEEE 1471/4210 Architecture Standard for the Software Intensive System. Following areas such as Stakeholders and their concerns, Architecture Description and System Qualities Attributes were mainly addressed. The audience consisted of Development leads, developers & testers. Hope other disciplines such as Architects and Business Analysts will find it useful as well.
Multiagent Based Methodologies have become an
important subject of research in advance Software Engineering.
Several methodologies have been proposed as, a theoretical
approach, to facilitate and support the development of complex
distributed systems. An important question when facing the
construction of Agent Applications is deciding which
methodology to follow. Trying to answer this question, a
framework with several criteria is applied in this paper for the
comparative analysis of existing multiagent system
methodologies. The results of the comparative over two of them,
conclude that those methodologies have not reached a sufficient
maturity level to be used by the software industry. The
framework has also proved its utility for the evaluation of any
kind of Multiagent Based Software Engineering Methodology
The purpose of this paper two fold. First and foremost it presents a background narrative on the origins, innovations and applications of novel structural automation technologies and the rarity of experts involved in research, development and practice of this field. The second part of this paper presents a rudimentary framework for a solution addressing this paucity – the creation of an interdisciplinary academic program at PAAET that will be the first ever in the region to address applied information communication technologies ICT in the design, planning, engineering and management of structural automation projects. In doing so, we need also to define the level of implementation. This field, as all fields in ICT, have been loosely defined and most applications carry less weight in its implementation than what should be applied. This paper gives an attempt to define an indexing scheme by which we can easily classify such implementation and generate a ranking by which we can safely define its level of ―Intelligence‖.International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
What Is OpenTelemetry? A Complete IntroductionCiente
Discover the power of OpenTelemetry: a community-driven endeavor that provides developers with continuous innovation and improvement for unraveling application intricacies and enhancing performance.
Explore seamless Jaeger integration with Spring Cloud for streamlined application monitoring and enhanced performance. Learn how to leverage distributed tracing capabilities for efficient microservices management.
Real Time Systems,Issues of real time system,Notations, state oriented Petrinets,Milestones, Walkthroughs, Inspections, Test plans,Functional test,Performance test,Stress test,Structural test
How Observability and Explainability Benefit the SDLCCloudZenix LLC
Observability and explainability are crucial for a seamless software development life cycle (SDLC). Observability enables real-time monitoring, troubleshooting, and optimization, ensuring smooth operations. Explainability helps understand AI models' decisions, improving transparency and trust. Read more: https://cloudzenix.com/
Observability for Application Developers (1)-1.pptxOpsTree solutions
Observability for application developers is the ability to gain insights into an application's internal workings, understand its behavior, and diagnose issues effectively. It involves collecting, analyzing, and visualizing data like logs, metrics, and traces, allowing developers to monitor performance, identify bottlenecks, and troubleshoot in real-time. This proactive approach leads to faster problem resolution, improved system reliability, and an enhanced overall user experience. Key components include logging, metrics, and transaction tracing for a comprehensive understanding of an application's health and performance.
Software Architecture Standard IEEE 1471vconovalov
This presentation covers the IEEE 1471/4210 Architecture Standard for the Software Intensive System. Following areas such as Stakeholders and their concerns, Architecture Description and System Qualities Attributes were mainly addressed. The audience consisted of Development leads, developers & testers. Hope other disciplines such as Architects and Business Analysts will find it useful as well.
Multiagent Based Methodologies have become an
important subject of research in advance Software Engineering.
Several methodologies have been proposed as, a theoretical
approach, to facilitate and support the development of complex
distributed systems. An important question when facing the
construction of Agent Applications is deciding which
methodology to follow. Trying to answer this question, a
framework with several criteria is applied in this paper for the
comparative analysis of existing multiagent system
methodologies. The results of the comparative over two of them,
conclude that those methodologies have not reached a sufficient
maturity level to be used by the software industry. The
framework has also proved its utility for the evaluation of any
kind of Multiagent Based Software Engineering Methodology
The purpose of this paper two fold. First and foremost it presents a background narrative on the origins, innovations and applications of novel structural automation technologies and the rarity of experts involved in research, development and practice of this field. The second part of this paper presents a rudimentary framework for a solution addressing this paucity – the creation of an interdisciplinary academic program at PAAET that will be the first ever in the region to address applied information communication technologies ICT in the design, planning, engineering and management of structural automation projects. In doing so, we need also to define the level of implementation. This field, as all fields in ICT, have been loosely defined and most applications carry less weight in its implementation than what should be applied. This paper gives an attempt to define an indexing scheme by which we can easily classify such implementation and generate a ranking by which we can safely define its level of ―Intelligence‖.International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
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.
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
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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/
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/
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
20240605 QFM017 Machine Intelligence Reading List May 2024
APM vs. Observability_ Demystifying OpenTelemetry and the Role of Telemetry in Observability.pdf
1. APM vs. Observability: Demystifying
OpenTelemetry and the Role of Telemetry in
Observability
In the ever-evolving landscape of software development and operations, the
concepts of Application Performance Monitoring (APM) and observability play
crucial roles in ensuring the reliability, performance, and scalability of modern
applications. In this guide, we'll delve into the differences between APM vs
observability, explore the fundamentals of OpenTelemetry, and discuss the
importance of telemetry in observability.
APM vs. Observability: Understanding the Differences
APM and observability are often used interchangeably, but they represent distinct
approaches to monitoring and troubleshooting applications.
1. APM: APM focuses on monitoring the performance and availability of
applications from predefined metrics like response times, error rates, and
throughput. It provides insights into the health of applications and helps
diagnose performance issues.
2. Observability: Observability is a broader concept that encompasses the ability
to understand the internal state of a system based on its external outputs. It
includes metrics, logs, and traces, providing a more comprehensive view of
application behavior and performance.
Key Differences
● Scope: APM focuses on predefined metrics, while observability includes a
wider range of telemetry data.
● Flexibility: Observability provides more flexibility in the types of data that can
be collected and analyzed.
● Diagnosis: APM is more focused on diagnosing performance issues based on
predefined metrics, while observability enables more proactive and
comprehensive troubleshooting.
What is OpenTelemetry?
2. OpenTelemetry is an open-source project that provides a set of APIs, libraries,
agents, and instrumentation to enable observability in applications. It allows
developers to instrument their applications to generate and collect telemetry data,
including traces, metrics, and logs.
Key Components of OpenTelemetry
● SDKs (Software Development Kits): SDKs are libraries that developers can use
to instrument their applications.
● Exporters: Exporters allow telemetry data to be exported to various
monitoring systems and data stores.
● Instrumentation Libraries: Instrumentation libraries provide pre-built
instrumentation for common libraries and frameworks.
OpenTelemetry enables developers to gain deep insights into their applications'
performance and behavior, helping them optimize performance, detect and diagnose
issues, and improve reliability.
Observability Telemetry: The Backbone of Observability
Telemetry refers to the process of collecting and transmitting data from a system. In
the context of observability, telemetry data includes metrics, logs, and traces, which
provide insights into the behavior and performance of applications.
Key Aspects of Observability Telemetry
● Metrics: Metrics are quantitative measurements of system behavior, such as
response times, error rates, and throughput.
● Logs: Logs are records of events that occur within a system, including errors,
warnings, and informational messages.
● Traces: Traces are records of the paths that requests take as they traverse
through a distributed system, providing visibility into request flows and
dependencies.
Telemetry is essential for observability, as it enables teams to monitor and analyze
the behavior of their systems, detect issues, and optimize performance.
3. Conclusion
In conclusion, APM and observability are essential components of modern
application monitoring and troubleshooting strategies. OpenTelemetry, with its
comprehensive set of tools and libraries, empowers developers to instrument their
applications for observability, enabling them to gain deep insights into performance
and behavior. Telemetry, as the backbone of observability, provides the data
necessary to monitor, analyze, and optimize the performance and reliability of
applications.