Monitoring the Windows devices in a network is difficult yet essential since the devices are tasked with the critical functioning of the network. The challenges and complexity increase multi-fold for an enterprise network because each device is associated with many events, services, and processes that must be monitored to ensure the hassle-free operation of both the devices and the network. The devices should be monitored constantly by a network monitoring tool.

Continuous intelligence (CI) platforms can be used to collect telemetry data from various sources, perform analysis on that data, make inferences about the data, and provide real-time insights that help businesses understand what’s going on. For years, network, application performance, and security monitoring were fairly passive operations. Systems collected key telemetry data, and operators received alerts when a particular metric crossed a preset threshold. Operations were limited in two ways.

Whether you run an ecommerce site, a digital publication, or any other customer-facing service, delivering optimum user experiences is key to the success of your business. Customers can grow frustrated and abandon your site when they run into hurdles such as JavaScript errors or confusing page designs, and that frustration negatively impacts your company’s bottom line.

When you’re operating databases at scale, being able to get real-time insights across all your databases is essential for addressing issues and identifying areas for optimization. Datadog Database Monitoring’s Database List allows you to monitor your entire database fleet in one place, so you can quickly identify and troubleshoot overloaded hosts and gauge the impact of problematic queries throughout your infrastructure.

Monitoring is often not the first thing on the mind of the modern developer. Yet, it’s necessary at many points of the software development lifecycle, including: before deprecating an API, before launching a new feature, after launching the feature, and more. In fact, monitoring needs can vary much more than the classic Ops monitoring.

AppSignal helps you separate signal from noise. Today, we're launching a new notification setting that will help you get the right notifications at the right time.

A version of this blog first appeared in APMdigest. A new study by OpsRamp on the state of the Managed Service Providers (MSP) market concludes that MSPs face a market of bountiful opportunities but must prepare for growth by embracing complex technologies like hybrid cloud management, root cause analysis and automation.

The best way to provide full-stack observability across applications, network and infrastructure is by offering a comprehensive partner ecosystem. Here's how to do it.

We couldn’t be happier and are proud to announce the final release of Icinga DB today. After many years of development and one or the other setback on the way to the release, we are proud to finally hand you the final version of Icinga DB for your monitoring environment.

According to a recent CNCF survey, 86% of the cloud native community reports that they use Prometheus for observability. As Prometheus becomes more of a standard, an increasing number of developers are becoming fluent in PromQL, Prometheus’ built-in query language. While it is a powerful, flexible, and expressive query language, PromQL is typically only able to query Prometheus time series data.

nginx is an open source web server often used as a reverse proxy, load balancer, and web cache. Designed for high loads of concurrent connections, it’s fast, versatile, reliable, and most importantly, very light on resources. In this article, you’ll learn how to monitor nginx in Kubernetes with Prometheus, and also how to troubleshoot different issues related to latency, saturation, etc.

We love to write and ship code to help developers bring their ideas and projects to life. That’s why we’re constantly working on improving our product in sync with developer needs to ensure their happiness and accelerate time to awesome. This is the second in a blog series covering our product’s latest features — features that we think will save you time and effort when building with time series and InfluxDB.

Industry-leading time series platform recognized for ease of setup and user satisfaction SAN FRANCISCO, June 30, 2022 – InfluxData, creator of the leading time series platform InfluxDB, today announced it has been named a leader in the G2 Grid for Time Series Databases, as well a leader within the inaugural Momentum Grid® Report for Time Series Databases in the Summer 2022 ratings from G2, the world’s leading business solution review platform.

It’s been a long few years for your IT department. In the span of one month, you had to make sure that all employees and contractors could work remotely. This meant giving everyone access to all cloud resources and ensuring uptime. Then, you needed to start securing access. Now, you need to shore up all your security as the phrase “zero trust architecture” has recently entered conversations with leadership.

We caught up with one of our Product Managers, Taylor Johnson, last week at Cisco Live 2022 in Las Vegas. Here are a few of his takeaways from the conference.

Python is one of the most industry-oriented languages. It has versatile usability and features that are great for all types of tech teams. You can make both frontend websites and backend APIs with Python. According to a report by Statista, around 48.24% of the developers worldwide use Python as one of their programming languages. Python is a backend technology in most cases, so monitoring the application is very important. The backend is the backbone of the application.

Three great things that do not always work great together. In the beginning there were large computer systems that few organizations could afford. Over time these systems became smaller and cheaper and many (if not most) organizations took advantage of them. Some just at the end-user level (i.e. the IBM PC on the desk), some only at the high-end level (i.e. a mainframe in the data center with terminals on desks), and some in a combination of both (anyone remember Reflection?).

Rollbar was founded with the belief that done is better than perfect. Building software is complex and it's better to move quickly and manage risk intelligently rather than try to build perfect code. For the past decade, Rollbar has provided peace of mind to hundreds of thousands of developers by monitoring production environments for errors. The tool has been leveraged to find and fix bugs in a fraction of the time and is trusted by the individual developers to at-scale enterprises.

Are you overspending on monitoring and APM tools? Forrester’s Total Economic Impact analysis of Honeycomb identified significant ROI in customers using us to reduce spend on less efficient APM workflows. But this isn’t about budget reallocation to a newly branded set of similar but shinier tools.

In my previous blog post, we explored key questions about Synthetic Monitoring, such as what it is, why it’s important, how it works, and how it compares to Real-User monitoring. Synthetic Monitoring is becoming an increasingly-popular method to continuously monitor the uptime of applications and the critical flows within them so that DevOps, IT, and engineering teams are quickly alerted when issues arise. Unfortunately, a good Synthetic Monitoring tool can be expensive.

This month’s highpoints include some fine touches we’ve brought into Sysdig Monitor with the ability to view live logs on a container, translate form-queries into PromQL, multi-query support for stacked area charts. Drift Control makes its way into the Sysdig Secure side.

Remember the old days where if you had an uptime of 99.9 you could be fairly confident everyone was having a good experience with your application? That’s not really how it works anymore. Modern, distributed systems are so complex they typically fail unpredictably, making it much harder to diagnose issues. Traditional monitoring grew out of those early days, allowing you to check the health of simpler systems.

Depending on your available resources, data analysis can take place at the edge or in the cloud, but businesses don’t need to choose one location over the other. There are benefits to giving the edge autonomy to collect, process, and act on data locally. Data replication helps maintain edge autonomy and makes it easier for users to get the data they need, where they need it.

Cribl Edge is the easiest and most manageable agent for exploring, processing, and collecting Observability data at the edge for Linux servers. Today, we’re excited to announce that it’s not just Linux admins whose lives have been made easier with Edge. With the Cribl Software Suite 3.5.0, Cribl Edge now supports Windows Server 2016, 2019, and 2022, bringing that same intuitive experience for deploying, setting up, and collecting observability events to your Windows infrastructure.

We’ve been busy building more features for Cribl Stream, and are excited to share the new value we offer our users. Cribl Stream 3.5 is now available! This release brings some much-requested features that will help users build more robust observability pipelines, with new sources and destinations. Let’s dive into what’s new!

Cribl.Cloud’s Summer 2022 release is now available in an AWS cloud near you! As part of this release, we are excited to share the features we have been building, including the latest Cribl product releases (Stream 3.5 and Edge 3.5). This release brings some much-requested features that will help customers increase their compliance, reduce overall costs, and deploy a more resilient observability data pipeline.

What is an observability engineer? They build monitoring tools, right? Develop data pipelines? For time series data? Maybe distributed tracing? Ah, got it…an observability engineer is just an extension of an SRE with a wider ‘end-user’s’ perspective? But don’t they also build solutions that move telemetry for security tools? Maybe monitor and review an organization’s overall security posture?

Our team has been hard at work this month to introduce 2 new parsing rules, DataMap improvements, updated tracing visualizations for SLA monitoring & more. Get up to speed on everything that’s new and improved in the Coralogix platform!

Behind every feature in Grafana, no matter how big or small, lies a lot of hard work, commitment, and attention to detail. At Grafana Labs, we use a cross-functional team approach to come up with ideas and solutions that ultimately make our products more usable, resilient, and adaptable to user needs. To achieve this, we work collaboratively across the UX, product, and engineering disciplines.

Unless you stare at Sentry all day waiting for error or performance problems to pop up, chances are you rely on alerts to let you know when something breaks or slows down. There are two types of alerts you can set up: 1) Issue Alerts, which are tied to issues that meet predefined criteria, and 2) Metric Alerts, which trigger when error volume or performance metrics like apdex, latency, or throughput surpass a pre-defined threshold.

The public service of buses of Madrid, the EMT, was one of the protagonists of Global Mobility Call that took place the 14th and 16th of June in IFEMA. The company from Madrid exposed its future plans tracing the route to continue transforming the capital into a Smart City where sustainable mobility and independent vehicles acquire great relevance. Nevertheless, executing this plan would be impossible without a technology characterized by generating data on a steady basis.

We are elated to announce that ManageEngine has been recognized in the Gartner® Magic Quadrant™ for Application Performance Monitoring and Observability for the tenth time! The applications performance monitoring industry has grown tremendously over the past decade and the wide range of vendors highlights this growth.

AWS’s new Graviton3 EC2 instances are built on its third generation of custom Arm-powered processors. These instances promise up to 25 percent better performance over Graviton2 for compute-intensive workloads. This means that, for applications like distributed data analytics, machine learning, video encoding, gaming, and more, migrating to Graviton3 instances can provide better performance, cost savings, and more energy efficiency.

In this article, we will cover a case study of one of our higher education customers using eG Enterprise to proactively monitor and troubleshoot their Moodle applications to ensure service availability and performance for their staff and students.

On June 21, 2022, the US-based global content delivery network (CDN) provider and security company Cloudflare suffered an outage at 6:27 UTC that lasted until 7:42. The outage was caused by a network configuration error that affected 19 of Cloudflare's data center locations — Amsterdam, Atlanta, Ashburn, Chicago, Frankfurt, London, Los Angeles, Madrid, Manchester, Miami, Milan, Mumbai, Newark, Osaka, São Paulo, San Jose, Singapore, Sydney, Tokyo.

This week we released v5.0 of StackState’s observability and AIOps platform, which introduces a rich set of new capabilities. Our latest release contains a little something for everyone responsible for reliably running business critical workloads in dynamic environments – SREs, DevOps, central platform teams, even business teams – and for new and existing users alike.

In the early days of log analysis, application developers would use their logging libraries to write logs to files stored on a disk. After years of relying on those libraries, they found that they were unable to monitor the performance of their applications anymore because they didn’t understand the way their logging libraries worked. This led to a shift from using log files stored on a disk to using Syslog.

Honeycomb uses AWS Lambda as a core part of our query execution architecture; Lambda’s ability to quickly allocate lots of resources and charge us only for use is invaluable to keeping Honeycomb fast and affordable. Our total Lambda bill is easily accessible in the AWS Console, but how do we know which customers or application areas dominate this bill? How do we judge the cost of changes we make to our own software?

Let’s check out together the new features and improvements included in the newest Pandora FMS release: Pandora FMS 763.

Monitoring performance in front-end applications is vital. It focuses on the areas of the application users experience. These areas are slow rendering or frame rate, network request errors, and unresponsive user experience. Your application’s users expect the experience of using the application to be fast, responsive, and smooth. In the first article of this series, we discussed some tips for optimizing your React Native application performance.

In a world where the customer’s digital experience is critical to business outcomes, it is crucial to understand how our applications are behaving. As businesses increasingly rely on the performance and availability of revenue-generating applications, the tolerance for downtime and slow response times has plummeted – so the response to production issues must be quick and effective.

So here we are…the final chapter. In Part 2 of this series, we started to drill down into some of the concepts that make Kafka great. We concluded that although terminology between MQTT and Kafka was similar (for example topics), they behaved quite differently under the hood. We also took a brief overview of Kafka Connect and how we can use some of the enterprise connectors to stream our data to other platforms. Yet we did learn that Kafka does have some shortfalls.

Frontend monitoring is a process of tracking and maintaining the health of an application’s client-side. It involves monitoring the availability, functionality, and performance of the client-side of an application. We can segment a web application into two parts. I.e., client-side and server-side.

Note 8.3.0 has an issue that could cause creating and accessing snapshots against Azure snapshot repositories to fail authenticating when using SAS tokens. This impacts self-managed customers who have deployed 8.3.0. Elastic Cloud Azure deployments are not currently being upgraded to 8.3.0 and are not impacted as a result. Visibility is crucial for ensuring application performance but it can be difficult to efficiently scale monitoring across all your critical infrastructures, platforms, and services.

Dashboards are a powerful tool for communicating a lot of information at once. Many Splunk apps are packaged with dashboards to help you make the most of your data. For example, the Microsoft 365 App for Splunk comes with a number of dashboards to provide insights around usage, incidents, and more.

Write enough programs, and you’ll agree that it’s impossible to write an exception-free program, at least in the first go. Java debugging is a major part of the coding process, and knowing how to debug your code efficiently can make or break your day. And in Java applications, understanding and leveraging stack traces can be the game-changer you need to ship your application quickly. This article will cover how to debug in Java and how Java stack traces simplify it.

To say that K-12 school systems have challenges is an understatement. COVID forced schools to make a dramatic turn towards remote learning, which meant the network was anything but insular, forcing IT to efficiently support thousands of new remote endpoints. That is on top of other K-12 network challenges. Issue number one: tight budgets. Most school systems are tight for cash, especially after the financial stresses of COVID and all the millions spent on PPE.

Founded in 1983, KFin Technologies is a leading transaction processing platform based in South East Asia. The organization serves the mission-critical needs of asset managers with clients in mutual funds, AIFs, pension, wealth management, and corporations in India and abroad.

You may remember from our previous update (published August 2nd 2021) that we announced our initial support for the beta version of OpenSearch, well today we are pleased to announce that we’ve recently launched OpenSearch & OpenSearch dashboards 2.0.0 available for all platform users to use from today.

Recent travel disruptions have impacted customers in more ways than one. Cancelled flights, extended airline wait times and staff shortages have all contributed to long-awaited holidays being disrupted or cancelled, often at the last minute. As a result, there has been an erosion of consumer trust and confidence in the travel industry.

Operating sustainably and promoting green practices can be more complex than you imagine. The benefits of sustainable practices can be significant for businesses, people and the planet. Companies need to ensure that they’re achieving those benefits in a way that complies with established rules and regulations to maximize the impact these initiatives have.

What a kickoff to the summer! That’s right, in the past two weeks, we got to welcome a lot of our ecosystem back with hugs, high fives, fist bumps, and air fives! It has been a great way to get welcomed into my new work family.

Until I came to StackState seven years ago, I was selling for Splunk. Everyone that has big data knows Splunk – big data, big data lakes, observability data, data analysis. Anything to do with data, Splunk is there! While at Splunk, I had the good fortune to sign up a reseller by the name of UMBRiO. Together, with Erik Witte and his team, we sold a multi-million dollar deal to a large, multi-national bank in the Netherlands that put our partnership on the map.

Ransomware threatens the loss of crucial data as well as financial loss. However, with the right knowledge and tools, you can take action to protect your business from the damaging effects of ransomware. In a 2022 Coveware Q1 ransomware report, the average ransom payment was $211,529 with an average of 26 days for downtime suffered. Ransomware obviously continues to be a huge and costly threat to industries across the board.

Even reducing the loading time of our website by a second can have a drastic impact on the traffic we get. It is vital for our websites to load quickly in this fast-moving world, where all the information we need can be found within a blink of an eye. One way to achieve it is using Gzip compression. The Gzip algorithm compresses and decompresses data in order to make websites load faster in a client's machine.

Role-based access control (RBAC), previously referred to as fine-grained access control (FGAC), is Grafana’s new authorization system. It was introduced as a beta feature in Grafana 8.0 release a year ago, and we’re now excited to promote it to general availability status. With the release of Grafana 9.0 during GrafanaCONline 2022, RBAC is enabled by default for all instances. (The easiest way to get started with Grafana 9? Sign up for a free Grafana Cloud account today.)

VP, Global Channels and Strategic Alliances AppDynamics Mark Maslach discusses the excitement around AppDynamics Cloud and how we’re helping our partners and their customers deliver exceptional application experiences.

There are multiple factors including speed, performance, UI interactions, etc. which are critical to the success of your iOS application. Slow and unresponsive applications are despised by users, so it’s critical to thoroughly test before releasing to the public.

In our on-demand webinar, Obkio’s network pros go over our network diagnostics process of how to locate and troubleshoot live network issues faster easter with Obkio network performance monitoring vs. traditional monitoring solutions. Networks are changing, and monitoring solutions need to keep up.

ICYMI: in Part 1 of this blog post, I introduced Sensu Catalog Integrations, one of the three components that make the Sensu marketplace work. In this post, I want to cover the second piece, the Catalog API generator. This is the tool that consumes the github.com/sensu/catalog repository content and renders static http API content the Sensu web app can consume.

We all know it’s getting harder than ever to rank in Google, whether it’s for blogs or webpages, but all is not lost. There are some key elements that you should be focusing on on your webpages, for example, to ensure that you’re giving your website the best chances possible of ranking well. After all, the majority of organic traffic clicks on the first 3 results on the first page of Google so if you’re not there, your competitors must be!

One of the biggest challenges for SaaS companies isn’t only how to get customers to buy your SaaS product but how to keep them engaged with it. It may be surprising but just because someone has bought your product or service, it doesn’t mean they interact with it in the way that they should or in such a way that they’re getting the most out of it. The downside to this? They are the customers that are more likely to churn.

We just released Tracealyzer version 4.6.4. Users with a current support contract can upgrade from within the application, or by going to the update page and download the right binary for their platform.

I recently attended Sapphire Ventures' Hypergrowth Engineering Summit (thank you David Carter and Sapphire for the invitation! I wrote a separate blog post on the whole thing), and one of the sessions was a panel discussion with Rob Zuber, CTO at CircleCI and Jonathan Nolen, SVP of Engineering and Product at LaunchDarkly. The session was illuminating: they talked about how in this world of everyone shifting left, teams should actually consider shifting right.

Organizations are continually increasing the number of devices and technologies used within their IT environments. To ensure these IT environments are functioning well and providing users a good experience, a company’s IT infrastructure must be tracked and maintained. This is accomplished through the use of infrastructure monitoring.

Over the past decade, organizations have reinvented themselves through digital transformation. Nowadays, this journey is well in its second chapter and gaining momentum – also driven by the explosion of app and service deployment, data and intelligence, digital reach, and post-pandemic customer expectations. And the newest cutting-edge technological trends – such as hybrid infrastructure and edge computing – are making it particularly difficult for traditional tools to keep up.

It’s the type of nightmare that leaves developers in a cold sweat. Imagine waking up to a message from your team that simply says, “We lost a cluster,” but it’s not a dream at all. InfluxDB Cloud runs on Kubernetes, a cloud application orchestration platform. We use an automated Continuous Delivery (CD) system to deploy code and configuration changes to production. On a typical workday, the engineering team delivers between 5-15 different changes to production.

“It’s too expensive!” “Do we really need another tool?” “Our APM works just fine.” With strapped tech budgets and an abundance of tooling, it can be hard to justify a new expense—or something new for engineers to learn. Especially when they feel their current tool does the job adequately. But, does it?

Even though NoSQL databases like Amazon’s own DynamoDB are very popular today, for many business use cases, there’s almost no way around using a traditional relational database. Amazon Relational Database Service (RDS), released back in October 2009, is one of Amazon’s first cloud services and can therefore be seen as a very mature service.

In our quest to provide the leading network observability solution, Kentik has been focused on developing a service for NetOps teams that empowers them to have intimate knowledge of their network traffic and the devices that route traffic. Our service helps them plan capacity, project costs, optimize routes, detect unwanted traffic, troubleshoot issues and analyze events.

Today we launch the next level of AppSignal front-end error tracking. We’ve made two major improvements: line-of-code-based error grouping and sourcemapped backtraces in notifications.

At Catchpoint, my role can be summarized at a high level as two halves: designing and taking care of Engineering teams – and working with those teams to design and take care of the various distributed systems that run our platform. I recently attended Sapphire Ventures' Hypergrowth Engineering Summit (thank you David Carter and Sapphire for the invitation!) where the sessions focused on creating and scaling high functioning engineering.

In this guide, we’ll set up an OpenTelemetry Collector that collects logs and sends them to Grafana Loki running in Grafana Cloud. We will consider two examples for sending logs to Loki via OpenTelemetry Collector. The first one shows how to collect container logs with a Fluent Forward receiver. The second one shows how to collect system logs with a Filelog receiver.

Choosing a domain name is a task that requires your full attention and should be thought about long before you undertake your website launch checklist. An inappropriate or poorly thought-through domain name is something you'll be stuck with for the foreseeable future. Domain names are tricky to change and can lead to serious SEO complications for your brand. By researching, you'll be better informed to choose a domain that works for you by maximizing website traffic and driving business revenue.

Organizations struggle with getting the right visibility into their environments. Better visibility can improve performance, increase uptime (or decrease downtime, depending on your perspective) and ultimately improve customer satisfaction. Finding the right tool, however, can be a real challenge. Making matters even worse, vendors seem to be announcing new observability platforms every day.

A month ago, we introduced unsupervised ML & Anomaly Detection in Netdata, the Anomaly Advisor. Today, we’re happy to announce that we’re bringing anomaly rates to every chart in Netdata Cloud. Anomaly information is no longer limited to the Anomalies tab and will be accessible to you from the Overview and Single Node View tabs as well. This will make your troubleshooting journey easier, as you will have the anomaly rates for any metric available with a single click.

Fluentd is an open source data collector widely used for log aggregation in Kubernetes. Monitoring and troubleshooting Fluentd with Prometheus is really important to identify potential issues affecting your logging and monitoring systems. In this article, you’ll learn how to start monitoring Fluentd with Prometheus, following Fluentd docs monitoring recommendations. You’ll also discover the most common Fluentd issues and how to troubleshoot them.

In the first blog in this three-part series, I discussed why network compliance should be a focus for MSPs. Today I’d like to take you through what service providers can do to meet compliance requirements.

With a broad, cross-functional mindset and a boost from AppDynamics, The University of Texas at San Antonio’s (UTSA) IT team has morphed from an error-resolving group into an innovation machine. Here's how they did it.

When we came across Dotan’s article “Observability Is a Data Analytics Problem” on LinkedIn, he got our full attention. We totally agree with his views on observability and data analytics.

Retrace is the full lifecycle APM solution that includes tools and capabilities far beyond your typical APM tool. With sophisticated log management, detailed code tracing, deployment tracking and more, Retrace delivers what your DevOps team needs most to resolve issues before impacting users. By extending usability beyond traditional APM functionality, Retrace provides greater value than competitive products. But where would Retrace be without robust APM functionality?

It’s 3PM on a Friday, and your day is winding down. Suddenly, you get an urgent email from your boss asking you to set up an alert for monitoring volume. You consider this an easy task. You set a hard threshold for what you think is a low volume based on the last four hours of incoming data.

Wouldn’t it be great to peek into the future and find answers to the problems that you’re facing today? This may sound like science fiction, but many companies currently possess this capability, and they are creating strategies around it to strengthen their monitoring and analytical capabilities. One way is time series forecasting, a statistical method. You can take advantage of the insights of time series forecasting by using techniques like anomaly detection to gain.

Microservices are one of the hottest app architectures in the current market. They easily solve some of the most common problems with monolithic and service-oriented architecture. The ability to split your application into multiple smaller components and develop as well as monitor them individually opens up a whole new world of possibilities. However, this also brings with it a new set of problems. Monitoring distributed applications requires thinking outside of the box.

Visual Studio Code (VScode) is an open-source and cross-platform source-code editor. It was ranked the most popular development tool in the Stack Overflow 2021 Developer Survey, with 70% of the respondents using it as their primary editor. VScode allows you to use a few programming languages like JavaScript and TypeScript. Still, you need an extension if you want to use any other programming language and include extra functionalities to improve your code.

As the container orchestration platform of choice for many enterprises, Kubernetes (or K8s, as it’s often written) is an obvious target for cybercriminals. In its early days, the sheer complexity of managing your own Kubernetes deployment meant it was easy to miss security flaws and introduce loopholes. Now that the platform has evolved and been managed, Kubernetes services are available from all major cloud vendors, and Kubernetes security best practices have been developed and defined.

With only a week to go before the start of the 2022 American Solar Challenge (ASC), here’s a good luck shout out to the University of Calgary Solar Car team! Their race car, the Schulich Elysia, not only looks stunning, it also packs a powerful solar battery that can store up to 18 kWh of energy, enough to drive the car over 300 km when there’s no sunlight. Percepio is immensely proud that our Tracealyzer tool has been involved in perfecting this battery technology.

The Internet of Things (IoT) can be found in a diverse range of devices, including fleets of autonomous vehicles, automobiles, planes, electric charging stations, and voice controllers. These devices are embedded with gateways, electronics, actuators, platform hubs, and cloud-service connectivity, enabling them to exchange data across the physical, network, and application layers that constitute IoT architecture.

Few people can claim the moniker of “pioneer” in building the internet as we know it. Rami Rahim, CEO of Juniper Networks, is one of them who had a front-row seat in the late 90s to the infant days of building the internet. At the time, I along with other Silicon Valley CEOs, was frantically building out web 1.0 companies, which required a grueling DIY business creation approach.

In part one of our PHP logging blog series, we discussed what logging is and covered the basics of creating logs in PHP applications using the PHP system logger. While the PHP system logger automatically records critical events like errors in code-execution, a more customized logging setup can be achieved using PHP functions. For part two, let's look at the basics of creating custom error logs by calling PHP functions.

Earlier this month, we shared exciting news with our first placement in the 2022 Gartner® Magic Quadrant™ for Application Performance Monitoring and Observability: we are in the Visionary Quadrant. This research is near to my heart, as I led this research for four years; so, I wanted to reflect on why this is an accurate placement for Logz.io. The Visionary Quadrant is designated for those organizations who are pushing the boundaries of a specific market and technology.

Grafana is an open source tool for people with many different perspectives and various skill levels. Many initiatives to improve the Grafana user experience start by thinking about someone who’s just getting started on their observability journey. However, late last year, a Grafana Labs hackathon team looked to improve the user experience for our power users by introducing a command palette to Grafana.

Debugging application performance in Azure AppService is something that’s quite difficult using Azure’s built-in services (like Application Insights). Among some of the issues are visualizations, and the time it takes to be able to query data. In this post, we’ll walk through the steps to ingest HTTP Access Logs from Azure AppService into Honeycomb to provide for near real-time analysis Access Logs.

Besides keeping IT and business systems humming, IT operations teams are tasked with driving digital transformation initiatives and supporting innovation within their organizations.

A time series is a sequence of data points (observations) arranged chronologically and spaced equally in time. Some notable examples of time series data are stock prices, a record of annual rainfall, or the number of customers using a bike sharing app daily. Time series data exhibits certain patterns, such as the highs and lows of hotel prices depending on season.

It’s common for most CISOs to lead off a security conversation by comparing what other companies in the industry are spending on cybersecurity and simply matching that. After all, regardless of the results, the CISO can always tell the board of directors they’re following industry guidelines around security budgets. The problem is security outcomes are bad regardless of budgets. It’s not what you spend. It’s the results you get that matter.

It’s no secret that AWS has an extensive catalog of services which enable organizations to rapidly scale infrastructure. In this fast paced and self scaling cloud native world, observability across all these services has never been more critical. As a long time AWS Technology Partner, it’s always great to speak to our friends at AWS, and most recently, Lumigo CEO Erez Berkner joined AWS on Air to talk about end-to-end observability of the modern cloud application.

It was really great to see so many old friends again at Cisco Live this year in Las Vegas. It’s been a few years since I’ve been to a conference other than a few small work events, so it was exciting to wander the World of Solutions, talk to people at the many booths, and bump into people I knew online but never met in person.

How a US-based consumer goods company reduced ticket count related to performance issues on macOS devices using Chrome as part of their digital collaboration platform. Thanks to digital collaboration tools, the world continues to evolve and accept new hybrid working styles. Today, reliance on these instant messaging, video calls, and conferencing tools has turned collaboration solutions into the lifeblood of modern business productivity and collaboration.

We find ourselves submerged in a sea of software applications practically all the time. Their primary job is to make life easier and help us accomplish certain tasks. However, these applications require a lot of data. What’s more, their development requires a systematic approach with proper management of that data — and its related activities. But that’s not a straightforward and simple process. What happens if these applications stop running?

Want to improve your outlook with a splash of RUM? In our pursuit of connecting users to the right data at the right time, we’ve come to see Real User Monitoring as an invaluable tool for understanding the total picture when it comes to your web properties, apps, and cloud footprint. Do you find yourself asking any of these questions?

In Splunk Cloud Platform 8.2.2203, we're continuing to expand on interactivity capabilities and visualizations for Dashboard Studio. We've added the ability to use search results and job metadata as tokens, and pass tokens through drilldowns to other dashboards. There is a new map visualization for cluster maps and UI to match strings for dynamic coloring. And finally, we've included the ability to set a Studio dashboard as your home dashboard.

Remote work has seen a resurgence due to the pandemic, and hybrid work is here to stay. It’s excellent news for knowledge workers, but what does it mean for support teams? Employees working from their home, vacation property, or a coffee shop create a different environment for technology teams, who need to support and ensure the applications and infrastructure are working well end-to-end.

Datadog Database Monitoring (DBM) provides comprehensive visibility into SQL queries running on your databases. Using DBM, you can troubleshoot database performance issues by drilling into frequently used queries and analyzing historical trends in your queries’ metrics and execution plans. Whether you operate self-hosted SQL Server instances or leverage Azure’s fully managed services, DBM can provide deep visibility into the databases your application depends on.

Organizations are moving from monolithic architecture (where all the code building the application exists as a single, monolithic entity) to microservices architecture as it simplifies app management, making it easier to build, deploy, update, test and scale each service independently without affecting other parts of the architecture.

This year's Monitorama is quickly approaching. This year, the event is hosted in Portland, Oregon, from June 27 to 29th. It features talks from industry experts and community leaders on all things monitoring, observability, SLI/SLO, and most importantly, what practitioners are doing (not vendors and providers).

More enterprises are adopting cloud computing to ensure that they can accelerate innovation, stay competitive, and enjoy cost savings. This trend has only increased in the last two years with the rise of remote work necessitated by the COVID-19 pandemic. With the rise of cloud adoption, multi-cloud and hybrid cloud deployments are increasing in popularity as well. According to a Gartner survey, 81% of survey respondents are using two or more cloud providers.

Circular IT and Zero Waste Strategies are vital goals for eG Innovations. To support this initiative, we offer flexible licensing options that meet the needs of clients regardless of the solution they choose to employ.

This article was published in The New Stack. For most developers, software development means there is an API for almost everything, hardware is provisioned via the cloud and the core focus is on building only the features most crucial to your business. Of course, all these integrations and modern distributed architectures create their own set of problems. Having full insight into your application has become even more important and is now commonly known as observability.

Many years ago, I attained my private pilot’s license. This entailed completing a very structured program, similar to how most companies introduce a product to a new user. Let’s be honest, there is a really good reason for this – to avoid the crash and burn. With flight training, it’s literal, while with products it’s a bit more figurative (except when you YOLO something into production–that can cause a crash and burn–and leave for a bad first impression).

We are happy to announce that an official Google BigQuery data source plugin for Grafana has arrived! Based on the popular DoiT International BigQuery DataSource community plugin, the new Grafana BigQuery plugin brings a new and improved query editor experience plus support for all BigQuery data types, Grafana Alerting, and query caching.

The software industry is moving toward teams that own the services they build. This concept encloses principles and possibilities from movements toward microservices, DevOps, Agile, and Project to Product. In these paradigms, a team of people delivers software that provides valued capabilities. These capabilities help customers get their work done, support business operations, or enable other software to do these.