#Datadog

[jolikmc-thoughts]

“Kick 'em in the crotch, Unca Scrooge!”

— One of Scrooge McDuck's nephews, probably

[devopsschool]

Session 01 Terraform Essential to Advance with Demo 2020 — By EngineersCode

SRE School equips professionals with essential IT skills through in-depth training, certifications, and guidance from industry experts. We offer training, certification, guidance, and consulting for DevOps, Big Data, Cloud, dataops, AiOps, MLOps, DevSecOps, GitOps, DataOps, ITOps, SysOps, SecOps, ModelOps, NoOps, FinOps, XOps, BizDevOps, CloudOps, SRE and PlatformOps. 🔔 Don't Miss Out! Hit Subscribe and Ring the Bell! 🔔 👉 Subscribe Now

[quietlyfail]

Okay DataDog.

[trader-sg112]

The Biggest Analyst Moves in AI: A Closer Look

The world of artificial intelligence (AI) continues to captivate investors, with its potential to revolutionize industries and generate unprecedented growth. However, the rapid pace of AI development has led to varying opinions among analysts. Here, we explore some of the most significant recent analyst moves in the AI sector, shedding light on differing perspectives and market implications.

Nvidia: A Bubble in the Making?

Elliot’s Perspective: Overhyped AI and Nvidia’s Bubble

Nvidia (NASDAQ: NVDA) has been at the forefront of AI innovation, with its graphics processing units (GPUs) becoming the backbone of AI and machine learning applications. Despite its dominance, Elliot, a prominent analyst, has voiced concerns about Nvidia being in a “bubble” and AI being “overhyped.” According to Elliot, the market's enthusiasm has driven Nvidia's stock price to unsustainable levels, reflecting unrealistic expectations about AI’s near-term potential.

Meta Platforms (NASDAQ: META): Staying the Course

Meta Platforms, formerly known as Facebook, has been investing heavily in AI to enhance its social media platforms and virtual reality endeavors. Despite fluctuations in the tech sector, analysts maintain a positive outlook on Meta’s AI strategy. The company’s consistent focus on integrating AI for content moderation, ad targeting, and user experience improvements underscores its commitment to leveraging AI for long-term growth.

Intel: Facing Challenges Post-Q2 Results

Intel Corporation (NASDAQ: INTC) has faced a challenging landscape, particularly after a disappointing Q2 earnings report. The company’s efforts to pivot towards AI and data-centric markets have been met with mixed results. Analysts are cautious, highlighting Intel's need to accelerate its AI initiatives to compete with rivals like Nvidia and AMD effectively. The Q2 performance has led to a re-evaluation of Intel’s prospects, emphasizing the need for strategic realignment in the AI domain.

HSBC Cuts Arm Rating: A Less Bullish AI PC Narrative

Arm Holdings, a key player in the semiconductor industry, has seen its rating cut by HSBC. The decision reflects a less bullish outlook on the AI-driven PC market. HSBC’s analysis indicates that the initial excitement surrounding AI integration in PCs may have been overly optimistic. While Arm continues to be a critical component supplier for AI applications, the tempered expectations suggest a more measured approach to AI’s impact on the PC industry.

Datadog: Upgraded to Buy at BTIG

Datadog (NASDAQ: DDOG), a monitoring and analytics platform for cloud applications, has received an upgrade to "Buy" from BTIG. This upgrade reflects confidence in Datadog’s ability to capitalize on the growing demand for AI-driven analytics. As businesses increasingly rely on AI to optimize operations and gain insights, Datadog’s comprehensive monitoring solutions position it well for future growth. BTIG’s endorsement underscores the company’s strategic alignment with AI trends and its potential to deliver strong returns.

Conclusion

The AI sector remains a dynamic and rapidly evolving landscape, with varying opinions from analysts reflecting the complexity of predicting its trajectory. Nvidia’s potential bubble, Meta’s steady course, Intel’s challenges, Arm’s recalibrated expectations, and Datadog’s promising prospects illustrate the diverse perspectives shaping the market. As AI continues to advance, staying informed about these analyst moves provides valuable insights for investors navigating the future of technology.

[anusha-g]

Which is the most used monitoring tool for DevOps?

There isn't a single "most used" monitoring tool for DevOps, as it often depends on the specific needs and preferences of each organization. However, some widely used monitoring tools in the DevOps space include:

Prometheus: An open-source monitoring and alerting toolkit designed for reliability and scalability, particularly well-suited for dynamic cloud environments.

Grafana: Often used alongside Prometheus, Grafana is an open-source analytics and monitoring solution that allows for customizable dashboards and data visualization.

ELK Stack (Elasticsearch, Logstash, Kibana): Elasticsearch is a distributed search and analytics engine, Logstash is a data processing pipeline, and Kibana is a visualization layer. Together, they provide powerful log monitoring and analytics capabilities.

Datadog: A cloud-based monitoring and analytics platform that offers a wide range of features including infrastructure monitoring, application performance monitoring (APM), and log management.

New Relic: A comprehensive observability platform that provides insights into application performance, infrastructure monitoring, and real-time analytics.

Nagios: An open-source monitoring tool known for its robustness in monitoring IT infrastructure and network components.

Zabbix: Another open-source monitoring solution that offers network monitoring, server monitoring, and application monitoring capabilities.

Ultimately, the choice of monitoring tool depends on factors such as the specific requirements of your infrastructure, the scale of your operations, and your team's familiarity with the tooling.

[technology098]

Exploring Best IT Infrastructure Monitoring Tools

In the intricate web of modern technological ecosystems, the heartbeat of an organization's efficiency lies within its IT infrastructure. From the servers humming with data to the intricate network of applications interwoven seamlessly, maintaining the stability and security of this infrastructure is paramount. This is where IT Infrastructure Monitoring Tools step in as silent guardians, vigilantly watching over the digital landscape, ensuring smooth operations, detecting anomalies, and fortifying against potential disruptions. Let's delve into this realm, exploring the significance of these tools, the top contenders in the market, and why choosing the right monitoring tool is a pivotal decision for any organization navigating the digital age. 

Understanding IT Infrastructure Monitoring 

Infrastructure monitoring involves the systematic collection and analysis of data from various IT infrastructure components, systems, and workflows. This data is instrumental in enhancing business outcomes and generating value across the entirety of an organization. 

In simpler terms, infrastructure monitoring acts as the lifeblood of your infrastructure. It gathers crucial data to offer a comprehensive view of availability, performance, and resource utilization, ensuring that your applications and services remain consistently accessible to your user base. 

In today's business landscape, where revenue streams heavily rely on applications and services, the performance of systems has reached a mission-critical status. Recent global events have amplified the strain on organizations' digital assets, be it handling unemployment claims, facilitating small business loans, providing telehealth services, or managing online grocery shopping. These applications and services are not just essential for individuals but are also vital for the smooth functioning of numerous organizations worldwide. 

Top IT Infrastructure Monitoring Tools in the Market 

1. SolarWinds Orion Platform 

Known for its comprehensive suite of tools, SolarWinds offers a unified platform for monitoring networks, servers, applications, and more. Its user-friendly interface and extensive customization options make it a popular choice for businesses of varying sizes. 

2. Nagios XI 

Nagios XI is renowned for its scalability and extensibility. It provides a centralized view of an organization's infrastructure, allowing for proactive monitoring and alerting. Its plugin architecture enables users to add custom functionalities as needed. 

3. Zabbix 

Zabbix is an open-source solution known for its flexibility and scalability. It supports a wide array of monitoring protocols and offers robust features for network, server, and application monitoring. Its ability to handle large-scale deployments makes it appealing for enterprises. 

4. PRTG Network Monitor 

PRTG simplifies monitoring with its easy-to-use interface and customizable dashboards. It covers a wide range of devices, systems, and applications, providing real-time insights and customizable alerts for potential issues. 

5. Datadog 

Datadog specializes in cloud-scale monitoring, providing comprehensive observability across cloud environments, applications, and infrastructure. Its features for log management, APM, and infrastructure monitoring make it a favorite among DevOps teams. 

6. Prometheus 

Popular in the realm of cloud-native environments, Prometheus offers powerful metric collection and querying capabilities. Its integration with Kubernetes and other cloud technologies makes it a go-to choose for containerized applications. 

Talk To Analyst

Factors to Consider 

When selecting an IT infrastructure monitoring tool, several factors should be taken into account: 

Scalability: Ensure the tool can accommodate your current and future infrastructure needs. 

Ease of Use: A user-friendly interface and intuitive setup can save time and resources. 

Customization: The ability to tailor monitoring parameters and alerts according to specific requirements is crucial. 

Integration: Compatibility with various systems, databases, and applications within your infrastructure is essential for holistic monitoring. 

Importance of Choosing the Right IT Infrastructure Monitoring Tool 

1. Proactive Issue Detection: An effective monitoring tool enables proactive identification of potential issues before they escalate, thereby minimizing downtime and maintaining system reliability. 

2. Optimal Resource Utilization: By providing insights into resource usage and performance bottlenecks, these tools aid in optimizing infrastructure resources, leading to cost savings and efficient operations. 

3. Enhanced Security: Monitoring tools play a crucial role in detecting security threats and vulnerabilities, allowing organizations to implement timely security measures and safeguard sensitive data. 

4. Compliance Adherence: Many industries have strict compliance requirements. Monitoring tools help ensure adherence to these standards by continuously tracking and reporting on various compliance-related metrics. 

5. Improved Decision Making: Access to real-time data and historical performance trends assists in informed decision-making, allowing IT teams to strategize and prioritize tasks effectively. 

Market Intelligence Report's Role 

A comprehensive market intelligence report provides invaluable insights into the landscape of available IT infrastructure monitoring tools. It evaluates factors such as features, functionalities, scalability, user reviews, pricing structures, and vendor reliability. 

By analyzing the Market Share IT Infrastructure Monitoring Tools, 2022, world-wide reports, a company can gain a clear understanding of the strengths and weaknesses of different tools vis-à-vis its own infrastructure requirements. It aids in narrowing down choices, identifying tools aligned with specific needs, and assessing the long-term viability of the selected tool in evolving IT environments. 

Additionally, Quadrant Knowledge Solutions’ Market Forecast: IT Infrastructure Monitoring Tools, 2022-2027, Worldwide reports often include case studies and real-world usage scenarios, offering practical insights into how these tools perform in various business contexts. This assists decision-makers in envisioning how a particular tool might integrate into their existing infrastructure and the potential impact on day-to-day operations. 

Ultimately, leveraging a market intelligence report helps companies make informed decisions, ensuring that the chosen IT infrastructure monitoring tool aligns with their strategic goals, operational needs, and budget constraints. 

Looking Ahead 

As technology continues to advance, the landscape of IT infrastructure monitoring will evolve further. Integration with AI and machine learning will likely become more prevalent, enabling predictive analytics and automated remediation of issues. Additionally, the rise of edge computing and IoT devices will necessitate monitoring tools that can adapt to these new environments. 

Investing in robust IT infrastructure monitoring tools is indispensable for businesses aiming to stay competitive in today's digital realm. By leveraging these tools, organizations can ensure the seamless functioning of their IT infrastructure, fortify their security measures, and optimize their operational efficiency. As technology continues to evolve, so too will the capabilities of monitoring tools, enabling businesses to navigate the complexities of the digital landscape with greater ease and confidence. 

[crestdata]

San Jose, August 2 – Crest Data Systems, a leading Product Engineer Partner for Enterprises in Cybersecurity, Data Analytics, Cloud & Infrastructure Services, announced today that it has won the 2023 Datadog Partner Network (DPN) Marketplace Partner of the Year Award. Datadog, the monitoring and security platform for cloud applications, unveiled the award winners at its DASH conference earlier today. 

DASH2023 #DatadogPartner #DPNPartner #CrestDataSys #DataDog #PartnerOfTheYear #DPNAwards2023

[bookpdf]

i need to get a cat so when i shut my laptop in disappointment after a long workday i can go bother a small creature that has no idea what a "chart" is. and maybe i can also forget about Charts. and about Code. just for a few hours

[gobusto]

words cannot describe the emotion i felt after seeing this email notification pop up whilst i was at work just now:

From: contactus @ dashcon.io Subject: You're Invited

[otiskeene]

Top 5 Artificial Intelligence For IT Operations Software Of 2024

Remember the gut-wrenching moment when Marshall Eriksen from How I Met Your Mother learns about his father's passing? His friends rally around him, providing unwavering support. Or when Chandler Bing from Friends bids an emotional farewell to Joey as he moves to Tulsa for work? These sitcom moments perfectly capture how friendships aren't just relationships but lifelines. Even in comedies like Brooklyn Nine-Nine, we see Jake Peralta and Charles Boyle sharing a hilarious yet heartwarming rap about their friendship.

Much like these iconic on-screen friendships, there's an unbreakable bond forming in the tech world between Artificial Intelligence (AI) and IT Operations (IT Ops). Think of AI as the wise mentor, analyzing data at lightning speed, while IT Ops is the dependable executor, implementing AI's insights with precision. Together, they solve IT challenges like a well-oiled team, transforming problems into simple solutions. Their partnership is the secret sauce behind successful IT infrastructures.

So, without further ado, let’s jump into the top 5 Artificial Intelligence for IT Operations (AIOps) software of 2024!

AI isn’t just the cool, multitasking kid of the business world—juggling marketing plans, content creation, and even coding. When combined with IT Ops, AI becomes the perfect sidekick, helping IT teams tackle issues before they even arise, and automating routine tasks. In a world of growing IT complexities, AIOps software is a must-have for efficiency, resilience, and agility.

Check out our top picks for AIOps software in 2024 below, which have transformed how companies manage digital infrastructure by automating tasks, reducing troubleshooting time, and improving system performance:

1. Aisera

Founded in 2017, Aisera has made a global mark, partnering with Zoom, Gap, and Workday. A newcomer on our list, Aisera’s AI-powered solutions offer impressive automation and cost savings for enterprises. Its use of Generative AI enables businesses to reduce operational costs by over 75%, making it a game-changer in the industry.

2. Datadog

A veteran in the AIOps space, Datadog offers a unified platform for monitoring, security, and analytics. Trusted by major players like Samsung and Whole Foods, Datadog simplifies IT Ops with cloud-based infrastructure monitoring, making it essential for businesses navigating digital transformation.

3. BigPanda

Known for cutting-edge event correlation and automation, BigPanda empowers IT teams to handle incidents swiftly, ensuring high service availability and reduced operational costs. It’s a new entry on our list but has already become a critical player in the AIOps space.

4. Netreo

Netreo excels at full-stack monitoring with support for over 350 integrations. This AIOps software is perfect for large enterprises looking for a single source of truth to monitor IT performance, capacity planning, and decision-making. With clients like Wipro and McDonald’s, Netreo is a powerhouse.

5. Moogsoft

Moogsoft uses machine learning and advanced correlation to proactively address IT incidents before they become major issues. Its focus on noise reduction and continuous availability makes it a vital tool for IT operations.

Summing It Up

AI and IT Ops have teamed up to revolutionize IT infrastructure management. AIOps tools predict issues, automate problem-solving, and improve system performance, enabling businesses to stay ahead of the curve. As companies increasingly rely on these tools, the fusion of AI and IT Ops is shaping the future of resilient IT systems.

[devopsschool]

Puppet Essential Tutorial by Expert

scmGalaxy empowers professionals with vital IT skills through comprehensive training programs, certifications, and expert mentorship. We offer training, certification, guidance, and consulting for DevOps, Big Data, Cloud, dataops, AiOps, MLOps, DevSecOps, GitOps, DataOps, ITOps, SysOps, SecOps, ModelOps, NoOps, FinOps, XOps, BizDevOps, CloudOps, SRE and PlatformOps. 🔔 Don't Miss Out! Hit Subscribe and Ring the Bell! 🔔 👉 Subscribe Now

[thong-tin-hosting]

Sự hiện diện kỹ thuật số đã trở thành một dấu hiệu quan trọng của sự thành công trong các tổ chức hiện đại. Điều này bao gồm một loạt các kênh kỹ thuật số, từ trang web cho đến các nền tảng truyền thông xã hội mà dường như ngày càng phát triển. Cùng với sự phát triển mạnh mẽ của những nền tảng lớn này, đòi hỏi một lượng lớn thời gian và công sức để duy trì trải nghiệm khách hàng thân thiện và hấp dẫn.

Tuy nhiên, ẩn sau bức màn của những nghệ sĩ và diễn viên chính, là hệ thống cơ sở hạ tầng và máy chủ mạnh mẽ, đang là nguồn năng lượng cho các ứng dụng, trang web, và dịch vụ của công ty. Việc duy trì và quản lý nền tảng này là quan trọng đối với sự tồn tại và phát triển của doanh nghiệp cũng như trải nghiệm đa kênh của khách hàng. Một cách hiệu quả để quản lý việc bảo trì này là sử dụng các công cụ giám sát máy chủ.

Các công cụ giám sát máy chủ cung cấp cho người dùng khả năng theo dõi và hiểu biết về hệ thống mạng và cơ sở hạ tầng kỹ thuật số của họ. Khả năng quan sát này có thể thay đổi toàn bộ quy trình và giúp các công ty nhận biết những thay đổi tích cực cũng như sự cố trong quá trình làm việc của họ. Dưới đây, chúng tôi sẽ thảo luận về các công cụ giám sát máy chủ hàng đầu, mà bạn có thể xem xét để bổ sung vào danh sách của bạn, giúp bạn duy trì sự ổn định của cơ sở hạ tầng của mình.

[virtualizationhowto]

SigNoz: Free and Open Source Syslog server with OpenTelemetry

SigNoz: Free and Open Source Syslog server with OpenTelemetry @signozhq #homelab #SigNozOpenSourceAlternative #DatadogVsSigNoz #MonitorApplicationsWithSigNoz #ApplicationPerformanceManagementTools #DistributedTracingWithSigNoz #MetricsAndDashboards

I am always on the lookout for new free and open-source tools in the home lab and production environments. One really excellent tool discovered recently is a tool called SigNoz. SigNoz is a free and open-source syslog server and observability program that provides an open-source alternative to Datadog, Relic, and others. Let’s look at SigNoz and see some of the features it offers. We will also…

[whitebrd]

How to use Datadog to monitor all of the metrics emitted by Lambda, as well as function logs and performance data, to get a complete picture of your serverless applications

[exeggcute]

if datadog buys gitlab it is so over BUT I would love to see the eponymous data dog and github's octocat fight to the death