Operations | Monitoring | ITSM | DevOps | Cloud

Automate Your Trades & Earn: The Ultimate Guide to Auto Trading Bots

Modern retail investors can automate trading routines to increase efficiency of investments and make money reliably without actively participating in the market. Robots are capable of doing everything, from generating signals to executing market orders, without any human intervention aside from initial tuning. With the latest advancements in AI for financial markets, newcomers are encouraged to experiment and explore the field of trading automation more than ever!

Unlocking the Power of GPUs and LLMs: Scalable AI Solutions with Civo

As the demand for large language models (LLMs) and AI-powered applications continues to grow, businesses are facing challenges in scaling compute capabilities and managing costs. GPUs have become the cornerstone of AI innovation, but their integration requires scalable and efficient solutions tailored to enterprise needs.

Digital transformation in logistics with edge AI | Data & AI Masters | Rehrig Pacific Company

Rehrig Pacific is an industry leader in waste, recycling and supply chain solutions. With an origin story that dates back to 1913, Rehrig has made its mark as a provider of sustainable packaging products. The company produces reusable, returnable plastic assets that integrate with smart material handling equipment to create end to end delivery solutions for the industries they serve.

Amazon Bedrock vs OpenAI: Guide to Your Best Generative AI Platform

Amazon has heard FinOps practitioners’ cries asking for new AI tools, and the answer is Titan and AWS Bedrock. These new tools provide the same generative AI abilities of generating images like expected from DALL-E, operating like a Large Language Model (LLM) like ChatGPT, and even transcribing audio to text. But how do these new tools compare to pre-existing ones like Azure’s OpenAI? Most importantly, which of these tools is the best financial investment for your organization?

How to benchmark your database management system | Data & AI Masters | Canonical

In this talk Mohamed Nsiri will provide a step-by-step guide on how to perform a benchmark of a given database management system configuration. We will explain how to assess the performance impact of a change (in memory, cpu speed, etc.) and how to universally compare different setups. The workshop will cover various factors that can significantly impact the performances of your databases including number of concurrent users, workload pattern and more.

The Power of Inclusive AI

The importance of artificial intelligence in driving business success has never been clearer. Yet, for too long advanced AI capabilities have been the preserve of tech giants and well-funded enterprises. This concentration of resources has created inequality that threatens to leave many businesses behind. But the importance of democratizing AI access extends far beyond individual company success - it's about fostering a vibrant, competitive ecosystem where innovations can emerge from unexpected places.

AWS Bedrock Pricing: Your 2025 Guide to Amazon Bedrock Costs

The future is AI. That’s a fact, and all the major cloud corporations are taking notice and investing in generative AI offerings to serve their customers better. Microsoft Azure has invested in OpenAI‘s ChatGPT, Google has Vertex AI, and Amazon has created Bedrock. But what exactly is AWS Bedrock? And, most importantly, how much will it cost? Will this generative AI be an easy investment, or will you have to break the budget to squeeze it in?

Lumigo Copilot Beta Demo | AI-Powered Observability in Action

Discover how Lumigo Copilot transforms troubleshooting and observability with the power of AI. In this demo, we’ll showcase how Lumigo Copilot: Whether you're a senior developer or just starting out, Lumigo Copilot makes debugging smarter, faster, and more intuitive. Try Lumigo Copilot today: lumigo.io Subscribe for more product demos, tips, and insights on modern observability.

Track AI Costs with Datadog Cloud Cost Management for OpenAI! Learn More on TMiDD! #AI #CloudCost

On This Month in Datadog, we’re spotlighting Datadog Cloud Cost Management for OpenAI, which enables you to break down costs by project and organization, as well as by individual model and their token consumption.

Experience the Future of Troubleshooting with Lumigo Copilot Beta

Troubleshooting complex cloud environments just got a whole lot easier. With Lumigo Copilot Beta, we’re redefining how developers identify and resolve issues in their production environments. We’ve captured it all in an exclusive video demo, showing you exactly how this cutting-edge tool empowers developers to stay in control.

Creating Realistic 3D Models With AI-Generated Textures and Materials

The creation of realistic 3D models has always been a challenge for designers, requiring meticulous attention to detail in texturing and material application. In recent years, the advent of artificial intelligence (AI) has introduced transformative methods that enhance realism and simplify the process. Among its applications, AI-generated textures and materials stand out for their ability to mimic intricate natural and synthetic surfaces, making it easier to produce photorealistic visuals.

Generative AI Is Easy to Demo but Hard to Deliver: The MVP Illusion

Generative AI has become the easiest demo in tech history, but one of the hardest products to operationalise. Walk into any startup pitch meeting, and you'll witness something remarkable: entrepreneurs can now showcase seemingly revolutionary AI capabilities in minutes. A few prompts to GPT-4, some impressive outputs from Midjourney, or a quick code generation session with GitHub Copilot, and investors are nodding appreciatively. The wow factor is instant, the potential appears limitless, and the competitive advantage seems obvious.

Building RAG with enterprise open source AI infrastructure

One of the most critical gaps in traditional Large Language Models (LLMs) is that they rely on static knowledge already contained within them. Basically, they might be very good at understanding and responding to prompts, but they often fall short in providing current or highly specific information.

LLM Testing in 2025: Methods and Strategies

Large Language Models, or LLMs, have become a near-ubiquitous technology in recent years. Promising the ability to generate human-like content with simple and direct prompts, LLMs have been integrated across a diverse array of systems, purposes, and functions, including content generation, image identification and curation, and even heuristics-based performance testing for APIs and other software components.

Three benefits of AI-Powered Incident Management

Today, every enterprise is digital. Regardless of industry, every business must incorporate digital technologies and strategies into its operations to remain competitive. Maintaining reliable IT infrastructures and digital services while minimizing downtime due to unplanned outages is critical to business success.

NoOps and the Future of DevOps: How GenAI is Eliminating the Tools Tax

Software development has evolved into a complex symphony of tools, platforms, and processes. While each new tool promises to solve specific challenges, together they’ve created an unexpected burden on development teams. The very solutions meant to streamline our work have paradoxically become a source of friction. A shocking stat from Gartner reveals the scale of this crisis: developers spend only 10-25% of their time actually writing code.

Grafana LLM plugin updates: choose the LLM models and providers that work best for you

At Grafana Labs, our mission has always been to empower users with the tools they need to build their own observability solutions. Our big tent philosophy embodies this mission by allowing you to choose the tools and technologies that best suit your needs. In this post, we want to share an update to our LLM plugin that reflects this philosophy in action.

InvGate Service Management: 6 AI Superpowers to Augment Service Desk Agents' Capabilities

At InvGate, we are committed to harnessing the power of AI to redefine Service Management practices. Since launching AI Hub, featuring the first wave of AI-powered capabilities within InvGate Service Management and Asset Management, over 50% of our clients have adopted them and saved dozens of thousands of hours. Our most impactful solutions have focused on enhancing decision-making processes, enabling teams to work smarter and achieve better outcomes.

This Month in Datadog: Monitor OpenAI costs, Kubernetes Active Remediation, IaC Security, and more

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog. This month, we put the Spotlight on Datadog Cloud Cost Management for OpenAI.

Beyond Transcription: How Synthetic Rooms Are Solving Voice AI's Hardest Open Problem

Since Google researchers introduced the Transformer architecture in Attention Is All You Need in 2017, language models have become dramatically better at processing and generating text. After ChatGPT's public release in late 2022, the ambition around voice systems expanded quickly. Meeting software, clinical scribes, speech-infrastructure companies, and voice-agent startups all began chasing a larger idea: spoken conversation could become structured, searchable, and actionable.

AI Strategies for Software Engineering Career Growth

Space.com sums up the Big Bang as our universe starting “with an infinitely hot and dense single point that inflated and stretched—first at unimaginable speeds, and then at a more measurable rate to the still-expanding cosmos that we know today,” and that’s kind of how I like to think about November 2022 for junior developers.

How MSPs Can Leverage AI to Increase Efficiencies and Increase Margins

The Managed Service Provider (MSP) industry is highly competitive. The growing demand for IT management and support has led to a proliferation of MSPs, ranging from small to established providers. This saturation intensifies pressure on profit margins and heightens expectations for delivering faster, more efficient services. With many MSPs competing for business, companies must find ways to differentiate themselves to attract and retain clients. At ScienceLogic, we know that AI holds the key to success.

What Are SLMs? Small Language Models, Explained

Large language models (LLMs) are AI models with billions of parameters, trained on vast amounts of data. These models are typically flexible and generalized. The volume and distribution of training data determines what kind of knowledge a large language model can demonstrate. By training these large models on a variety of information from all knowledge domains, these models can perform sufficiently well on all tasks.

Enhancing Collaboration with AI Security Assistants with Robert Grazioli, CIO, Ivanti

Ivanti CIO Robert Grazioli shares his insights on how AI is transforming the cybersecurity industry. Read the full report for more: ivanti.com/ai-security This expert commentary highlights the importance of AI assistants in empowering security professionals, breaking down silos, and improving response times. Learn how AI is radically reshaping the cyber threat landscape due to AI’s ability to quickly penetrate siloed security operations. However, security teams can leverage AI to counter these sophisticated attacks and boost their own skill sets.

Intel the era of AI: business transformation with open source | Data & AI Masters

AI is transforming the way organizations work globally. It makes everyone look differently at all scales, from workstations to data centers and edge devices. Intel’s strategy heavily focuses on AI as the next milestone to drive innovation and enable other organizations to move their projects beyond experimentation.

From Gartner IOCS 2024 Conference: AI, Observability Data, and Telemetry Pipelines

Last week, I attended one of the last conferences of the year with team Mezmo: the Gartner IT Infrastructure, Operations & Cloud Strategies Conference in Las Vegas. Not surprisingly, there were over 20 sessions covering observability and how it is getting increasingly critical in the new complex distributed computing environment. Of course, there were many sessions, including all keynotes that addressed the advent and impact of AI on IT operations and observability.

How good is GitHub Copilot at generating Playwright code?

People keep asking us here at Checkly if and how AI can help create solid and maintainable Playwright tests. To answer all these questions, we started by looking at ChatGPT and Claude to conclude that AI tools have the potential to help with test generation but that "normal AI consumer tools" aren't code-focused enough. High-quality results require too complex prompts to be a maintainable solution.

The Next Generation of AI-Powered Observability

AI is changing our world, and its impact on observability is no different. This article discusses some of the components of a good observability platform, how AI is well-positioned to revolutionize observability, and how Lumigo Copilot Beta will provide substantial value to customers and partners.

What is RAG?

In a 2020 paper, Patrick Lewis and his research team introduced the term RAG, or retrieval-augmented generation. This technique enhances generative AI models by utilizing external knowledge sources such as documents and extensive databases. RAG addresses a gap in traditional Large Language Models (LLMs). While traditional models rely on static knowledge already contained within them, RAG incorporates current information that serves as a reliable source of truth for LLMs.

How to Build Omni Model Dynamic AI Assistants using Intelligent Prompting

My name is Tim Gühnemann, and as an AI engineering working student at ilert, I had the privilege of developing and continuous improving ilert AI, ensuring it meets the needs of our customers and aligns with our vision. ‍ Our goal was to provide all our customers with access to ilert AI. We aimed to develop a solution that could adapt dynamically and function independently based on our use cases, similar to the OpenAI Assistant API.

AI Log Analysis - Shaping the Future of Observability

As digital applications and infrastructures grow increasingly complex, managing and understanding log data has become increasingly vital in achieving practical observability, enabling organizations to detect, diagnose, and prevent issues across their systems. However, traditional log analysis methods often struggle with the volume and complexities of modern log data in cloud-native environments.

Flowmon - AI-Powered Cybersecurity Platform

Today's primary cybersecurity challenge is event overload. With a flood of alerts coming from numerous systems, analysts struggle to prioritize and investigate effectively. This not only delays responses to genuine threats, but also leaves organizations more vulnerable. For Progress Flowmon, accuracy and rapid response are essential. Flowmon is an AI-driven network security analyst that works alongside your team, monitoring your network 24/7.

AI and the Demand for Data Center Interconnectivity

Attention is growing in the market towards developing infrastructure capable of accommodating the rising demand and scale of AI. Furthermore, there is a rising trend in the planning and construction of edge data centers located nearer to end users, aimed at addressing the high power requirements of GPUs and the ongoing transition of enterprise IT toward cloud solutions.

Using Ceph as a scalable storage solution for AI workloads | Data & AI Masters | Canonical

In this talk Canonical's Phil Williams will introduce why Ceph is referred to as the swiss army knife of storage. Discover the versatility of Ceph as we explore how it is deployed, scales and integrates with all types of infrastructure and applications- all the way from a developer’s workstation to edge infrastructure and large scale production environments.

The Coming Wave of Disruption: How AI Will Revolutionize UX

Artificial intelligence (AI) has been a part of technological innovation since the 1950s, but recent advances in large language models (LLMs) have accelerated its impact. These advancements have sparked widespread excitement, but many are missing the real disruption on the horizon: user experience (UX). As a company deeply rooted in UX innovation, we at InvGate are closely examining how this evolution will unfold.

Creating the Foundation to Unlock the Opportunity with AI

The third article in our Data Economy series examines what it takes to unlock the opportunities with AI. Based on some of the key findings of our own research ‘Predicting the Data and AI Revolution’ and exclusive insights provided by leaders in the data economy, this piece explores how organizations are currently using AI.

The Journey to Autonomic IT: How AI Advisors, not AI Assistants, Can Get You There

Today’s IT teams face unprecedented challenges as they manage increasingly complex hybrid and multi-cloud environments and vast amounts of data. The pressure to maintain uptime, optimize performance, and ensure security – all while balancing limited resources – has become a daunting task for even the most seasoned professionals. So how can these organizations stay ahead of the curve?

From Challenges to Strategy: Preparing for AI Success in 2025

This webinar features exclusive findings from the 2024 State of AI & LLMs Report and is designed to help you navigate today’s AI/ML challenges to effectively plan for 2025. Guy Levi (VP, Architects Lead) and Guy Eshet (Senior Product Manager, JFrog ML) will explore key trends and discuss how a unified platform that integrates between MLOps and DevOps can make a real difference for your organization when it comes down to security, efficiency and more.

Observability in the Age of AI

This post was written by Charity Majors and Phillip Carter. In May of 2023, we released the Honeycomb Query Assistant, an LLM-backed feature that lets engineers use natural language to generate and execute queries against their telemetry data. Instead of having to master a domain-specific query language, you can simply type in things like “slow endpoints by status code” and the Query Assistant will generate a relevant Honeycomb query for you to iterate on.

AWS re:Invent 2024: Innovation, AI, and the power of seamless data movement

From developers and tech leaders to start-ups and students, over 60,000 attendees from around the world gathered in Las Vegas for the 13th AWS re:Invent. This year’s event showcased continuing innovation from AWS, offered an abundance of content for every type of attendee, plus a sprawling Expo Hall hosting hundreds of AWS partners and industry vendors.

Troubleshooting SD-WAN with Kentik Journeys AI

Discover how Kentik Journeys simplifies SD-WAN troubleshooting with the power of AI. In this video, we walk through identifying and resolving a network issue impacting a business application using a Postgres database. See how Kentik's conversational interface streamlines iterative network analysis, offering real-time insights into traffic patterns, device metrics, and routing behaviors. Learn how Kentik Journeys empowers teams to diagnose root causes quickly and collaborate effectively.

Open Source vs. Proprietary LLMs

Large Language Models (LLMs) are now essential to modern artificial intelligence (AI), enabling machines to understand and generate human language. Their impact is evident across various industries, with estimates suggesting that by 2025, 750 million apps will integrate LLMs. From enhancing customer service with intelligent chatbots to advancing medical research, LLMs are driving efficiency in business operations.

Connectivity and Cloud: Navigating AI's Blind Spots in 2025

Mike Hoy, CTO, Pulsant looks ahead to the next 12 months, identifying some of the challenges organisations are likely to face in delivering AI projects, and highlighting the importance of a resilient, connected infrastructure in meeting these. As AI proofs of concept evolve over the next 12–18 months, they will lay the groundwork for advances in technology.

Walking the Talk: How We're Engaging in Responsible AI Practices at Zebra

After my last post about responsible AI practices, some people rightfully inquired about Zebra’s practices. So, I thought it would be best to answer these questions publicly. The first thing I want to stress is that our underlying Code of Conduct, company policies, and departmental procedures provide the foundation for everything we do at Zebra.

Enhancing Alerts with AI: Leveraging Amazon Bedrock and LLM's for Graylog

In this talk, we’ll explore the cutting-edge work InfusionPoints has done to process and enrich alerts from Graylog using Amazon Bedrock and advanced Large Language Models (LLMs) from Amazon Titan and Anthropic. Discover how we’ve harnessed the power of AI to elevate the accuracy, relevance, and actionable insights of our security alerts, transforming how we respond to potential threats.

Lessons from Building an AI Copilot

Artificial intelligence is reshaping industries at an unprecedented pace. AI has found its way into almost every vertical, from writing code to diagnosing illnesses, promising efficiency and innovation. The idea of an AI Copilot—a tool that acts as your assistant to tackle complex tasks—is particularly exciting. In our space, observability, the possibilities seemed endless. We asked ourselves how AI could simplify troubleshooting in microservices.

Summarizing SRE/Ops Podcasts Using an LLM

There are plenty of good SRE/Ops related podcasts out there. I follow a few of them and listen to episodes whose titles sound interesting. The problem with podcasts is that some episodes focus on one topic, and other episodes deal with a host of topics. In between there is filler and things that are not relevant to the topic but are necessary to carry on a conversation. Spending 30-60 minutes listening to podcasts is not always a great use of time.

Automatically group events and reduce noise with AI-powered Intelligent Correlation

When you have a complex IT environment with many disparate tools, data sources, and teams, alert noise becomes overwhelming. This can delay incident response and cause missed alerts, ultimately leading to critical incidents and outages. Datadog Event Management’s Event Correlation groups and deduplicates events and alerts, reducing noise and helping response teams act on alerts faster.

Six Enterprise AI Predictions for 2025

In many ways, the upcoming year is shaping up to be one of opportunity and innovation as IT leaders see more benefits and options around AI than ever before in running the enterprise. By the same token, this progress is creating new complexities and choices for organizations to navigate. Through conversations with ScienceLogic customers, leading industry analysts, partner companies and key executives, several AI-related themes have emerged moving into 2025.

Lightrun AI Autonomous Debugger

This video showcases how with Lightrun developer observability platform, developers can leverage the AI debugger within the platform plugin to swiftly identify critical code level issues through automated hypothesis and insertion of debugging actions at runtime (Lightrun dynamic logs, virtual breakpoints (Snapshots) and more. That helps reduce MTTR to mere minutes.

CNBC Says AI Will Replace Tech Support - Here's What They Got Wrong

Another day, another AI headline designed to spike your blood pressure. The Service Management industry is no stranger to dramatic proclamations about AI, and neither are you. But what’s the real story behind CNBC’s latest take, “The tech support desk at work is one of the first jobs AI is rapidly replacing?” Does the Palo Alto Networks company need media coverage? Does CNBC? CompTIA? All of them? Perhaps there is a hidden agenda behind the article being published.

Are Our Networks Ready for AI?

With all the hype surrounding AI, it’s critical to focus on building resilient networks capable of handling the performance demands that AI will introduce. As I often say, if your network observability solution isn’t detecting packet loss, neither will your AI engine. When you ask, “What’s the status of our global network health this morning?” a flawed or incomplete response could jeopardize critical decisions.

Future Trends in Ecommerce and Predictions for Business Growth

Explore the evolving world of ecommerce with insights into mobile commerce, AI-driven personalization, omnichannel retailing, and sustainable practices. Learn how emerging technologies and innovative strategies can help businesses thrive in the competitive online retail landscape. Discover opportunities to enhance customer experiences and drive success in ecommerce.

ElasticGPT: Empowering our workforce with generative AI

Like all organizations, Elastic deals with an ever-increasing volume of information and data, making it harder for our teams to keep information up to date and for employees to find answers from relevant resources. As a leading Search AI company, our approach to customer-first starts with customer zero — us. When our employees needed a better way to find the information necessary to do their jobs, we knew we could use our own technology to bring that vision to life.

What is Agentic AI? And why does it matter in IT service management and ITAM?

When embarking on a new digitalisation project today, people expect more than just the basics, such as security, functionality or choosing a trusted brand. They're looking for tools that offer a personalized experience and smart automations. This is especially true for service desks and IT management platforms, where automating repetitive tasks and tailoring the experience to users really matter. AI agents are a great solution for this. They can handle tasks on their own, make processes smoother, boost efficiency, and save money.

AI-Powered Fuzzing: The Future of Automated Application Security Testing

Increasingly complex code, evasive attackers, and other factors make application security essential during and after app development. Throughout the process, developers should be testing the application for bugs and security vulnerabilities to protect against downtime, whether that downtime is caused by unintentionally problematic inputs or deliberate attacks.

The Growing Role of Data Science in Technology

Have you ever wondered how your favorite apps predict what you want to watch or buy? In today's world, data drives much of what we experience in technology. From smartphones to smart cities, data science shapes how tools, systems, and services are built and improved. As technology advances, data becomes even more critical in solving problems, improving efficiency, and enhancing user experiences. In this blog, we will share how data science plays a key role in shaping the technology of today and the future.

AI Agent RCA on Alerts: Get the Info You Need, Fast

A critical component of any monitoring and observability system is alerting. But alerts in and of themselves aren’t enough—when something goes wrong, time is of the essence, and your team needs to figure out not just what’s going on but how to fix it, and fast. Additionally, constantly chasing down alerts can be the bane of any observability practitioner’s existence.

PagerDuty's AI-First Future with AWS: Key Announcements at AWS re:Invent 2024

At AWS re:Invent 2024, PagerDuty is strengthening its long-standing partnership with Amazon Web Services (AWS). Together, we’re launching new AI and automation tools to enhance operational efficiency and help teams deliver superior customer experiences. With a plugin for Amazon Q, and integrations with Amazon Bedrock and Amazon Bedrock Guardrails, PagerDuty Advance is redefining what it means to respond to incidents faster and smarter.

The Rise of DevOps Copilots: A New Era of Automation and Intelligence

As the demands of modern software development continue to grow, so too does the complexity of DevOps. To keep pace, many organizations are turning to AI-powered assistants that help manage infrastructures, streamline pipelines, and automate repetitive tasks. These assistants are known as copilots, and they promise to enhance productivity while reducing operational overhead. But not all of them are created equal.

Reliable AI models, simulations, and more with Gremlin's GPU experiment

Note This blog uses “GPU” to refer to the entire processing circuit, including the GPU processor, video memory, and other supporting hardware. ‍ Artificial Intelligence (AI) has become one of the biggest tech trends in years. From generating full movies to updating its own code, AI is performing tasks that were once science fiction.

The future is now, introducing Dynamic Observability from AI innovations built on logs

A year ago, I shared my thoughts at re:Invent, explaining why I joined Sumo Logic as CEO and laid out the importance of logs as a key differentiator. A year later, the atomic level of logs is even more paramount. It’s not just because Sumo Logic is years ahead in technology when it comes to ingesting and analyzing structured and unstructured logs.

Monitor your OpenAI LLM spend with cost insights from Datadog

Managing LLM provider costs has become a chief concern for organizations building and deploying custom applications that consume services like OpenAI. These applications often rely on multiple backend LLM calls to handle a single initial prompt, leading to rapid token consumption—and consequently, rising costs. But shortening prompts or chunking documents to reduce token consumption can be difficult and introduce performance trade-offs, including an increased risk of hallucinations.