High availability and flawless performance of business applications are vital to maintaining a company’s online reputation and keeping its customers satisfied. If a business-critical application crashes, frustrated users may abandon the service, leading to a loss in brand value and revenue. Internal business application performance issues can also cause a drop in employee productivity. To prevent these performance issues, enterprises turn to application performance monitoring solutions.

In today's digital age, a reliable and high-speed Internet connection is vital for the smooth operation of businesses. From communication and collaboration to accessing cloud-based services and online transactions, a stable internet connection is crucial for ensuring productivity and efficiency. However, despite the advancements in technology, network issues can still arise, leading to frustrating downtime and hampering business operations.

By automating capacity planning for IP networks, we can achieve cost reduction, enhanced accuracy, and better scalability. This process requires us to collect data, build predictive models, define optimization objectives, design decision algorithms, and carry out consistent monitoring and adjustment. However, the initial investment is large and the result will still require human oversight.

The panel discussion “From Machine Data to Business Insights, Building the Foundations of Industrial Analytics” discussed modern methods and benefits of deriving insights from machine data. InfluxDB Developer Advocate Jay Clifford explained the trend now is to “allow the builders to bring the Lego blocks and build them together how they see fit.

Node.js is a very popular JavaScript runtime for the backend. Its usage has grown steadily in the past years. Some notable users of Node.js include Netflix, PayPal, Uber, and eBay. In this post, you will learn how to add tracing to a Node.js application on AppSignal. You will use an existing Quotes app that talks to a PostgreSQL database to fetch the quotes. Let’s get going!

As part of our ongoing commitment to security, we are excited to announce we have partnered with GitHub to protect our users on public repositories via GitHub’s secret-scanning feature. Through the partnership, GitHub will notify Grafana Labs when one of the following secret types is exposed in the code of a public repository: GitHub actively monitors public repositories for leaked secrets. When a secret is detected, its hash is stored in Grafana Labs’ Secret Scanning API.

Nowadays businesses rely heavily on robust and resilient infrastructure to deliver uninterrupted services to their customers. This includes things like servers, databases, and cloud-based systems. It’s important to monitor the health and performance of this infrastructure, and that’s where monitoring metrics come in.

When our CEO and co-founder Tomer Levy delivered his “Observability is Broken” presentation at last year’s AWS re:Invent, he highlighted numerous challenges faced by today’s organizations as they seek to advance their observability practices. Of the six individual points that he noted, two specifically dealt with the current shortage of available engineering expertise, with another two focused on data overload.

Cribl Search is a powerful tool that is designed to enhance your data search efficiency, irrespective of the location of your data. This blog will explore how this tool seamlessly integrates with numerous Cribl Edge Nodes in real time, simplifying the process of discovery and troubleshooting. An integral part of Cribl Search is the “teleport” feature, which enables users to access specific Edge Nodes for in-depth analysis, simply by clicking on a host field.

As you know, having reliable checks is a cornerstone of synthetic monitoring. We don’t want false alarms, or worse, checks succeeding when things aren’t working. But sometimes, problems can be hard to identify because they only happen intermittently, or in certain situations. Similarly, monitoring results can be skewed by infrastructure issues, or network errors on the monitoring provider end, causing false alarms when there is actually no problem with the product.

Philadelphia, PA – May 31, 2023 – Goliath Technologies, a leader in end-user experience monitoring and troubleshooting software, today announced the launch of Goliath Performance Monitor 12.1, empowering IT to do more with less.

The Uptime.com Page Speed Check has arrived! 🚀 We’ve rebuilt our old Website Speed free test using the most up-to-date analytics, metrics, and auditing tools available to make sure that your websites are performing as expected, every single hour of every day. Keep reading to see exactly how our new Page Speed Check can take your website monitoring and observability to the next level.

This Kubernetes Architecture series covers the main components used in Kubernetes and provides an introduction to Kubernetes architecture. After reading these blogs, you’ll have a much deeper understanding of the main reasons for choosing Kubernetes as well as the main components that are involved when you start running applications on Kubernetes. This blog series covers the following topics.

Technology juggernauts–despite their larger staffs and budgets–still face the “cognitive load” for DevOps that many organizations deal with day-to-day. That’s what led Spotify to build Backstage, which supports DevOps and platform engineering practices for the creation of developer portals.

Contact centers (or call centers) are crucial touchpoints for customer interactions across various channels, including phone, email, SMS, live chat, and more. As businesses strive to deliver exceptional customer experiences (particularly in high-volume consumer-facing industries such as financial services, telecom, travel, insurance, healthcare, online retail, etc.), it’s imperative to optimize contact center performance. How imperative?

When people hear the word “migration,” they typically think about migrating from on-prem to the cloud. In reality, companies do migrations of varying types and sizes all the time. However, many teams delay making critical migrations or technical upgrades because they don’t have the proper tools and frameworks to de-risk the process.

In a previous blog post, we built a small Python application that queries Elasticsearch using a mix of vector search and BM25 to help find the most relevant results in a proprietary data set. The top hit is then passed to OpenAI, which answers the question for us. In this blog, we will instrument a Python application that uses OpenAI and analyze its performance, as well as the cost to run the application.

Virtualization has been a rising trend in IT. A recent study of the server virtualization market revealed that in 2019, only half the servers in the world (55.6%) were purely physical, the remainder being virtual. Among virtual servers, VMware had the largest share at around 20.8%. The use of virtual servers has grown to the extent where this blog you’re currently reading is probably hosted on a virtual server.

In the rapidly evolving digital landscape companies are facing an increasing number of challenges in maintaining their IT infrastructure, and ensuring application stability. It is critical to stay on top of all the information to ensure the health of the organization and the business side of it. One of the ways to achieve visibility is to use a log monitoring tool to centralize the log data coming from each application and infrastructure element.

Networks today span the world and provide many connections between geographically disparate data centers, and public and private clouds. This creates a variety of network management problems. If your network is not working properly, it can be very difficult or even impossible to get the most productive or correct operation of your applications. A sophisticated network requires constant monitoring using the right tools and creating a network performance monitoring strategy.

When you set up on-premise digital infrastructure, it is crucial to enable your devices to communicate with each other. The devices on your network should be able to send and receive data packets to handle requests and send responses back to callers. One of the components that allow data transmission to the proper destination is the network switch. The network switch plays an important role in distributing data packets to devices.

When you send an email or load a website, you probably never think about how the data gets from your computer to the server that needs to process it. But something does have to decide how the data will move across the vast expanse of the Internet – and, in particular, which of the virtually infinite number of potential routes your data will take as it moves from your device to a server and back again.

Firewall systems are critical for protecting your network and devices from unauthorized traffic. There are several types of firewalls that you can deploy for your environment via hardware, software, or the cloud—and they all typically fall under one of two categories: network-based or host-based. Network-based firewalls monitor and filter traffic to and from your network, whereas host-based firewalls manage traffic to and from a specific host, such as a laptop.

Companies using Zoom and Microsoft Teams as their real-time employee collaboration solution have access from their vendor(s) to the call and session data telemetry gathered by their solutions via a vendor-supplied API. But is this enough for effective management of collaboration tool performance in the enterprise digital workplace?

We have seen in the Series 1 of How To Improve the Performance of SaaS Applications using Nexthink on how Nexthink Application Experience could be leveraged to proactively monitor Page load times of Web Applications to improve user experience and application performance for increased business value.

Across industries and geographies, businesses rely heavily on Systems Applications and Products (SAP) systems. These powerful and versatile systems streamline operations and manage critical data spanning areas like finance, human resources, and supply chain. However, the real-time monitoring of these systems, with an in-depth understanding of performance metrics and quick anomaly detection, is paramount for smooth operations and business continuity. It's here that our unique offering steps in.

In the data business, we often refer to the series of steps or processes used to collect, transform, and analyze data as “pipelines.” As a data scientist, I find this analogy fitting, as my concerns around data closely mirror those most people have with water: Where is it coming from? What’s in it? How can we optimize its quality, quantity, and pressure for its intended use? And, crucially, is it leaking anywhere?

In 21st-century business, computing is what makes daily operations, competitive advantage, and strategic growth possible. The foundation that enables this is a hybrid cloud infrastructure that supports business requirements, delivers a suitable user experience, and stays on budget. Mastering the ABCs of infrastructure performance management (IPM) will put you on the road to long-term success.

This post covers how to get started with Home Assistant and Grafana, including setting up InfluxDB and Grafana with Docker, configuring InfluxDB to receive data from Home Assistant, and creating a Grafana dashboard to visualize your data. It provides a comprehensive guide for real-time monitoring and analysis of Home Assistant data. In this tutorial, you’ll learn how to integrate Grafana with Home Assistant using InfluxDB.

This post was written by Siddhant Varma. Scroll down for the author’s bio. Observability is an essential aspect of a healthy software architecture and a highly performant system. It enables developers and engineers to understand and dive deeper into how their application behaves. This in turn helps them monitor it effectively.

Engineering organizations that ship fast have Observability as part of their core DNA.

At Traceloop, we’re solving the single thing engineers hate most: writing tests for their code. More specifically, writing tests for complex systems with lots of side effects, such as this imaginary one, which is still a lot simpler than most architectures I’ve seen: As you can see, when an API call is made to a service, there are a lot of things happening asynchronously in the backend; some are even conditional.

In today’s fast-paced digital world, website speed is crucial in retaining attention. One of the ways to achieve faster website loading times is by implementing Image lazy loading. This technique ensures images are loaded only when visible on the user’s screen, reducing the initial load time and improving the website’s overall performance. In this article, we will explore the concept of image lazy loading, how it works, and the different methods to implement it on a website.

A 404 error page, commonly known as a page not found or simply a 404 page, indicates that a user has arrived at the requested site, but the URL is empty. Let's look at the URL address https://www.site24x7.com/blog as an example.

ClickHouse is an open source, column-oriented database management system designed for OLAP (analytical) workloads. ClickHouse supports various data formats and SQL queries, and is popular for clickstream analysis as well as log processing use cases. We are pleased to announce that ClickHouse now has a dedicated observability integration in Grafana Cloud, which makes it easy to troubleshoot issues, track potential latency, and prevent data loss.

Just when you thought everything that could be shifted left has been shifted left, we’re sorry to say you’ve missed something: observability. Modern software development—where code is shipped fast and fixed quickly—simply can’t happen without building observability in before deployments happen. Teams need to see inside the code and CI/CD pipelines before anything ships, because finding problems early makes them easier to fix.

As organizations continue to shift their operations to cloud networks, maintaining the performance and security of these systems becomes increasingly important. Read on to learn about incident management and the tools and strategies organizations can use to reduce MTTR and incident response times in their networks.

We have seen in the Series 1 of How To Improve the Performance of SaaS Applications using Nexthink on how Nexthink Application Experience could be leveraged to proactively monitor Page load times of Web Applications to improve user experience and application performance for increased business value. Let us see in part 2 of this series how Nexthink could be leveraged to monitor Application Transactions.

Before we dive into the nitty-gritty of incident management, let’s look a bit closer at the actual meaning of ‘incident.’ In the world of IT service management, the official definition for ‘incident’ is an “unplanned interruption to an IT service or reduction in the quality of an IT service.” Whether that means a slowdown in response time or a total system crash, you’re looking at an incident.

Missed our latest webinar on FinOps for MSPs? We’ve got you covered! This blog post will cover what the FinOps experts discussed and the main things to remember. FinOps are revolutionizing MSP operations by adding a data-driven approach to cost management. This method helps MSPs optimize their cloud usage, provide white-glove support to customers, and give visibility on their expenses.

Do you know what your website users are really experiencing? Are they satisfied with your website's performance? Are they able to easily navigate and find what they're looking for? Real User Monitoring (RUM) is a powerful technique that can answer these questions and more. By collecting and analysing data on real user interactions, RUM provides valuable insights into user behaviour, website or application performance, and overall user experience.

SIEM is an overarching mechanism combining Security Event Management (SEM) and Security Information Management (SIM). It is a combination of different tools such as Event Logs, Security Event Logs, Event Correlation, SIM etc. These work in tandem to provide you an up-to-date threat intelligence infrastructure and enhanced security for your applications and hardware.

Understanding Metrics, Logs, Events and Traces - the key pillars of observability and their pros and cons for SRE and DevOps teams.

The use of virtualization in modern computing is becoming indispensable. Virtualization allows users to operate numerous operating systems on a single physical machine, which boosts productivity, lowers costs, and makes maintenance easier. But It's crucial to conduct periodic checks on a Linux virtual machine to make sure it's operating smoothly and effectively.

Thank you for being part of this year’s SCOMathon, covering 11 hours of pure Microsoft System Center Operations Manager topics delivered by leading subject matter experts. To take you even further on your exciting SCOM journey, NiCE offers free, one-to-one Azure SCOM MI consulting tailored to your technical expertise. Monitoring with Azure SCOM MI and the good old on-prem SCOM environments is clearly seeing a hype.

If you’re looking for a short answer on OpenSearch vs Solr, here’s a flow chart: We normally recommend the one you (or your team) already know or the prefer because, for most projects, there’s not that much in it in terms of features. Both search engines are well supported and have strong communities behind them. That said, there are significant differences, too.

Earlier this month, we released the first version of our new natural language querying interface, Query Assistant. People are using it in all kinds of interesting ways! We’ll have a post that really dives into that soon. However, I want to talk about something else first. There’s a lot of hype around AI, and in particular, Large Language Models (LLMs).

Miquel is a Project Manager at Seidor Opentrends, focused on smart cities, data, and IoT projects. Seidor Opentrends, which is headquartered in Barcelona and has offices around the world, provides end-to-end, high quality IT transformation services and serves as a consultant on open source and software architecture for municipalities throughout Spain. At Seidor OpenTrends, we build and maintain Sentilo, an open source sensor and actuator platform for smart cities.

In today’s digital landscape, where websites and online services play a crucial role in businesses’ success, having continuous uptime and optimal performance is of the utmost importance. This is where website monitoring tools come into the picture. Monitoring tools act as our vigilant sentries, constantly watching over our websites, servers, and applications to detect any issues that may affect their availability or performance.

Cloudera Data Platform (CDP) is a data analytics and management platform that enables users to centralize, visualize, and govern their data. While users may be accustomed to data analytics solutions that are completely siloed and difficult to scale, CDP is designed to be flexible, giving customers the ability to integrate with open source technologies and deploy in a hybrid, cloud-native, or multi-cloud environment.

InfluxDB 3.0 has 10x better storage compression and performance, supports unlimited cardinality data, and delivers lightning-fast SQL queries compared to previous versions. These gains are the result of our new database engine built on top of Apache Arrow. Apache Arrow processes huge amounts of columnar data and provides a wide set of tools to operate effectively on that data.

As the affordable choice for cloud computing, Google Cloud Platform (GCP) is catching up to its competitors, like AWS and Microsoft Azure. As a business, you need the speed and scalability that the cloud provides, but you want to limit your costs to ensure you hit revenue targets. With GCP, you found a digital services business partner to help you meet your business objectives, a technology that gives you the service availability you want at the speed you need.

The explosive growth of web applications has created a serious blind spot for End User Computing (EUC) teams. While a few of the most business-critical custom web applications built by company DevOps teams are instrumented with Application Performance Management (APM) tools, the remaining commercial SaaS applications, whether customized/extended or “out-of-the-box” are a complete blind-spot.

Customers invest in Nexthink to see, diagnose, and fix problems before they occur, resolve critical disruptions, and improve overall digital employee experience to drive workforce efficiency. But after initial implementation of your new DEX platform, where do you begin? You have a robust set of measured KPI’s that must be achieved to fulfill the business requirements outlined by key leadership stakeholders, and an entirely new platform to learn how to use.

What's the difference between SREs and Platform Engineers? How do they differ in their daily tasks?

As a mobile game developer, there are many components of your game that you need to monitor. Everything from the servers that are hosting your game, to your best players, and your best-converting actions. That’s a lot of data, and it’s hard to know how to get the most out of that data. This article will look at the KPIs (Key Performance Indicators) you need to monitor, the best tools for monitoring these metrics, and how to handle this data in the most effective way.

Follow these best practices to learn how to get the most out of your Google Cloud and third-party logging infrastructure for the lowest cost.

As an SRE and DevOps evangelist, I talk to many customers and prospects, most of whom run load and stress testing as part of their application delivery chain, often using JMeter for load testing. Many of them have a misconception: “I have JMeter and I am all set from a performance/ scalability perspective. I don’t need any other tools”.

More platform teams owning multi-tenant systems need a full-stack observability solution that aggregates volumes of data into logs, metrics and traces. In tandem, there’s a growing number of major players in the observability industry, including New Relic. This post will compare some key features between Coralogix vs. New Relic. We will also go over what customers are looking for when choosing a complete observability platform.

Tracealyzer version 4.8 will be released in the first week of June, with major optimizations and improvements for Zephyr RTOS, and support for 64-bit target processors (FreeRTOS, Zephyr and SafeRTOS only). In addition, the ESP32 support is upgraded to use the latest TraceRecorder library, supporting all recent versions of ESP-IDF up to v5.2 dev. Snapshot tracing is now primarily supported by the implementation for streaming mode, using the RingBuffer stream port.

Patrick DeVivo is a software engineer and founder of MergeStat, an open source project that makes it possible to query the contents, history, and metadata of source code with SQL. The security posture of software supply chains has been a significant topic lately. Recent high-profile breaches have shown the importance of managing risks from third party code. Take, for example, the Log4Shell vulnerability (tracked as CVE-2021-44228 — Grafana Labs was not affected).

In a perfect world, data would move over the Internet in real time. There would be no delays whatsoever between when one computer sends data out over the network and when it reaches the recipient. In the real world, however, there is always some level of delay when exchanging data over the network. That delay is measured in terms of network latency. Ideally, network latency is so low that no one notices it.

Live sports have moved to the internet and are now streaming instead of being broadcast. Traditional streaming protocols have a built-in delay that challenges the experience of a live game. Amazon Prime has found a solution by combining a new protocol with a very distributed CDN.

Since its inception in 1988, the traceroute has undergone several variations. You might be wondering, ‘Why so many?’ The answer is simple: achieving traceroute functionality has been a balance between security and utility. Whenever malicious actors exploited firewall and router vulnerabilities, their vendors responded with fixes and solutions which impacted the traceroute algorithms.

As more organizations leverage the Amazon Web Services (AWS) cloud platform and services to drive operational efficiency and bring products to market, managing logs becomes a critical component of maintaining visibility and safeguarding multi-account AWS environments. Traditionally, logs are stored in Amazon Simple Storage Service (Amazon S3) and then shipped to an external monitoring and analysis solution for further processing.

When Azure AD is configured to record Sign-In activity, Kusto KQL can be used to gain valuable insights. This blog walks through common needs and shows how to visualize them in SquaredUp. Ruben Zimmermann is an Infrastructure Architect at a large manufacturing company who likes Azure, KQL, PowerShell and, still, SCOM.

As someone tasked with handling the pitfalls and consequences of unwanted downtime, it can be difficult to keep up to date with the latest software developments working to address these undesirable yet inevitable situations. And yet, whilst recognizing this fact is a necessary condition of overcoming such challenges, it is not in itself sufficient to meet the task.

To ensure the best possible end-user experience, engineering teams must be able to seamlessly transition from performance testing to problem resolution, breaking down any silos that exist between the two. That’s why, earlier this year, Grafana Labs launched Grafana Cloud k6, a unified platform that natively integrates the Grafana k6 performance testing experience directly into Grafana Cloud.

Instituto Salvadoreno del Seguro Social (ISSS), an El Salvador based government health care institution, provides medical services such as treatment, insurance, prescription home delivery, etc. The institution has branches in over 114 locations throughout the country, with its IT infrastructure network being very crucial for its business operations. To monitor its business critical IT network, ISSS’ IT team evaluated and chose ManageEngine OpManager.

Since its acquisition by Cisco in 2012, Meraki has taken off as one of the most valuable tools for simplifying networking in the cloud era. Organizations using Meraki to install and configure software-defined networking (SDN) and software-defined wide area networking (SD-WAN) devices across their IT estates can attest to the fact.

Choosing an excellent application performance monitoring tool is a challenging task. Nowadays, there are dozens of instruments, and it can be problematic to pick the right one. However, when looking into every given “top ten list”, New Relic vs. Datadog will always be there. At this point, instead of focusing on dozens of log management tools, let’s focus on some key ones. Comparing New Relic vs. Datadog offers a distinct perspective on how infrastructure monitoring should look.

Datadog and Splunk are among the most popular performance monitoring tools available on the market. If you’re looking for such a solution and looking to scratch one off your shortlist, look no further than this article. In this Datadog vs Splunk comparison, we will take a deep dive into everything each tool has to offer. We will point out their similarities and differences to help you decide which tool can meet your needs better.

It is an old cliche adage, but there is no better statement than “a picture is worth a thousand words” that explains the effectiveness of visuals to deliver a message. Especially, in the data domain where a raw message often exists in numbers, visualizing graphs and charts is the best way to share information. When it comes to visualizing metrics from Graphite, there is no solution that can beat Grafana.

Snowflake is a cloud-based data warehousing platform that allows organizations to store, manage, and analyze large amounts of data. It offers a scalable, secure, and highly available solution that separates storage and computing resources. We already offer the Snowflake datasource plugin, which allows you to query and visualize data from your Snowflake Data Cloud on your Grafana dashboards.

Exponential smoothing is a time series forecasting method that uses an exponentially weighted average of past observations to predict future values. This method assigns more weight to recent observations and less to older observations, allowing the forecast to adapt to changing trends in the data. The resulting forecast is a smoothed version of the original time series less affected by random fluctuations or noise in the data.

Let’s face it, in today’s always-on digital world, a minute without access to a website or service can feel like a lifetime. You’ve probably heard the term “99.99% uptime” before. It’s an important factor for providers (such as hosting or app providers) and key to improving a website’s reliability and a company’s customer satisfaction. But when your service provider promises an amazing 99.99% uptime, have you ever paused to ask what it really means?

When setting up new monitoring software or migrating, it’s important to have a strong backbone in place for the systems, so you can cover as many services with as little manual burden as possible. Of course, defining the resources – like HTTP, SSH, etc. services or entire host systems – is one of the first things that comes to mind.

Meta, the parent company of Facebook, has been fined a record €1.2 billion ($1.3 billion) by the European Union for violating its data privacy laws. The fine was issued by Ireland’s Data Protection Commission, which is Meta’s lead regulator in the EU, and is the largest ever levied under the EU’s General Data Protection Regulation (GDPR), which went into effect in 2018.

When your applications are experiencing degraded frontend performance, every minute of investigation counts towards minimizing the impact of regressions on your users. That’s why we built Watchdog Insights, an AI-powered recommendations engine that augments monitoring investigations by intelligently surfacing data that sheds light on outliers in the errors and latency affecting your applications.

Custom metrics is a key component for many companies. Stock available in warehouses, shopping cart status, number of products sold, and operational status for industrial machines are some of the many KPIs that companies need for their own business tracking purposes. When it comes to custom metrics and observability platforms costs, many companies are struggling to find a good balance between availability, performance, reliability, and costs.

In March 2021, Commander of the United States Cyber Command General Paul Nakasone testified before the U.S. Senate, summarizing a key organizational challenge, "It's not that we can't connect the dots; we can't see all of the dots."

In this blog post, BGP experts Doug Madory of Kentik and Job Snijders of Fastly update their RPKI ROV analysis from last year while discussing its impact on internet routing security.

Streaming Aggregation and Recording Rules are two ways to tame High Cardinality. What are they? Why do we need them? How are they different?

The pressure on today’s development teams is real: innovate, release quickly, and then do it all again, only faster. Is it any surprise that studies are showing 83% of software developers are feeling burnout? We’re here to remind you that it doesn’t have to be this way.

Event management is a critical process within IT service management, offering a structured method to detect, assess, and respond to events that could disrupt business services. Essentially, event management is a systematic approach to tracking all detectable occurrences within IT infrastructure, applications, systems, and services.

Several years ago, there was little choice among performance monitoring tools. You had to deal with what the market offers. Datadog is one of the oldest solutions available and, thus, well-known. Yet, it is not without flaws, which might make people look for alternative solutions since the market is booming and new tools emerge regularly.

DevOps teams and security engineers use monitoring tools like Prometheus and Datadog to search for bugs and find any issues that might put an app or the entire IT infrastructure at risk. Better monitoring capabilities and aspects like event monitoring mean users can log data more effectively and engage in data collection leading to data visualization. These actions lead to infrastructure metrics, which allow experts to conduct timely analysis and prevent an app from crashing.

Since Kubernetes Monitoring launched in Grafana Cloud last year, we have introduced highly customizable dashboards and powerful analytics features. We’ve also focused on how to make monitoring and managing resource utilization within your fleet easier and more efficient. But what’s an easy way to add resources to your cluster while using Kubernetes Monitoring?

This practitioner blog will show you how to consume telemetry data from your network devices in five easy steps. Telemetry is a monitoring technology used to do high-speed data collection from network devices. According to EMA research on network performance management, “71% of enterprises are interested in collecting streaming network telemetry with their network management tools.” This next-generation approach to monitoring has been expected to replace SNMP for years.

Since Microsoft announced the RDP Shortpath feature was going to be enabled by default on September 6, 2022 for all Azure Virtual Desktop (AVD) customers, monitoring and troubleshooting this feature has become important. RDP Shortpath feature improves the AVD connectivity by establishing a direct UDP protocol between the AVD session hosts and the Remote Desktop Client by reducing the dependency on gateways.

Honeycomb recently released our Query Assistant, which uses ChatGPT behind the scenes to build queries based on your natural language question. It's pretty cool. While developing this feature, our team (including Tanya Romankova and Craig Atkinson) built tracing in from the start, and used it to get the feature working smoothly. Here's an example. This trace shows a Query Assistant call that took 14 seconds. Is ChatGPT that slow? Our traces can tell us!

In this bi-weekly micro webinar series, Catchpoint and ITOps Times have partnered to explore six critical topics that are essential for ensuring Internet Resilience for your business. Explore each of the topics in the series: In this fourth segment, we’ll discuss techniques for enhancing Network and API performance by implementing Internet Performance Monitoring. Now, let’s get into the episode!

Peering evaluations are now so much easier. PeeringDB, the database of networks and the go-to location for interconnection data, is now integrated into Kentik and available to all Kentik customers at no additional cost.

Introducing new capabilities expanding hybrid cloud support for VMs, Kubernetes and Linux apps running in public or private clouds, enhancements in application to infrastructure correlation using AI/ML-powered anomaly detection and more.

Did you know that 88% of online consumers are less likely to return to a website after a bad user experience? This means that no matter how small, website errors can significantly impact your website's traffic and revenue. As a website owner or manager, it's crucial to identify and fix common errors to ensure your website runs smoothly and provides an exceptional user experience. But where do you start? With so many potential issues that can arise, it can be overwhelming to know what to prioritize.

Azure OpenAI is a service for deploying AI applications on Azure resources. With its easy-to-use REST APIs, you can leverage the service to access OpenAI’s powerful language models, such as ChatGPT, for your applications while taking advantage of the reliability and security of the Azure platform. Datadog already offers an out-of-the-box integration for OpenAI so you can monitor key performance trends, such as API usage patterns, token consumption, and more.

Migrating your on-prem applications to Azure can help you improve scalability, reliability, and security. It can also help reduce costs and free your engineering teams to focus on innovation and performance optimization. But it can be hard to understand Azure costs as they evolve during your migration and to see how they correlate with your resource utilization once you’re up and running in Azure.

Many organizations have faced the complex challenges that come with mainframe monitoring. MIPS-based cost models make native mainframe software expensive, and deploying individual agents to user desktops and devices is difficult to maintain and scale.

We’re happy to announce that the Sentry SvelteKit SDK is now generally available and ready to help you monitor your SvelteKit application. Last year, we entered the Svelte ecosystem by creating an SDK for Svelte, which provides support for Svelte single page apps. We knew that SvelteKit was already quite far along back then and we kept a close eye on its development. We also received a lot of requests from the community to support SvelteKit.

With Cribl Stream, our customers are experiencing choice and control over their data that would have been a pipe dream (or maybe I should say a pipeline dream) before. The ability to get the right data to the right destination in the right format is extremely powerful. Stream can optimize the data being sent to expensive destinations; you can remove unnecessary or redundant fields, drop unnecessary events, or even pull valuable metrics from verbose logs. Optimizing your data has a few benefits.

“Observability” seems to be the buzzword du jour in IT these days but what does it actually mean, and how is it any different from plain, old monitoring? In simple terms, observability is the ability to understand how a system is performing and how it is behaving from the data that system generates. It is not just about monitoring metrics or collecting logs, but also understanding the context of those metrics and logs, and how they relate to the overall health of the system.

This is the third and final post (for now) in the series about developing email templates with MJML and deploying them to AWS. In the previous post, we developed a Gulp script to automatically build HTML from the MJML file and insert it in a template file for AWS. In this post, we will set up an automated build and deployment of the email template using Azure DevOps. A quick recap.

Kubernetes is now the de-facto standard for container orchestration. With more and more organizations adopting Kubernetes, it is essential that we get our fundamental ops-infra in place before any migration. In this post, we will learn about leveraging Jenkins and Spinnaker to roll out new versions of your application across different Kubernetes clusters.