Having quick access to metrics and health signals from your AWS environment is paramount to identifying issues expediently and monitoring the effects of any deployed fixes. Datadog is proud to partner with AWS for the launch of CloudWatch Metric Streams, a new feature that allows AWS users to forward metrics from key AWS services to different endpoints, including Datadog, via Amazon Kinesis Data Firehose with low latency.

Is it important to your customer to understand the distinction between IT Operations Management (ITOM) and IT Service Management (ITSM)? Most likely not. Your customers are only concerned with how quickly you solve their problems. It makes no difference to them which application or infrastructure you use. So why should you, as an organization, be concerned about the meaning of these concepts, how they align, how they differ, and why they matter?

Today, we launch a new feature: sending metrics and errors to AppSignal over our “Public Endpoint” API. AppSignal has many web frameworks, databases and background job frameworks automatically instrumented when you want to monitor a Node.js, Ruby or Elixir app. If you have code running on serverless architecture such as AWS Lambda, you can’t run our agent, so our standard integration with all of the out-of-the-box magic won’t work.

Written by Nick Cavalancia, Microsoft Cloud & Datacenter MVP The need for visibility into service availability and delivery quality has led to the rise in interest in monitoring Microsoft’s Office 365 services from the user perspective. With two different approaches available, what value do they each bring?

From May 2021, Google is using ‘Core Web Vitals’ as a brand new ranking signal. Google states that business owners should monitor and improve their scores to avoid damaging their organic SEO. In this blog, we will explain how to improve Core Web Vitals scores. To discover the specific issues affecting your users’ experience, we strongly advise having a Core Web Vitals audit.

Exemplars are a hot topic in observability recently, and for good reason. Similarly to how Prometheus disrupted the cost structure of storing metrics at scale beginning in 2012 and for real in 2015, and how Grafana Loki disrupted the cost structure of storing logs at scale in 2018, exemplars are doing the same to traces. To understand why, let’s look at both the history of observability in the cloud native ecosystem, and what optimizations exemplars enable.

SquaredUp Dashboard Server lets you and your team create beautiful dashboards, for any tool or data, that you can share with everyone in your organization. Here’s a quick introduction to the product where we show you exactly what you can achieve, in no time at all. Let’s start with the three tabs on the top left of the screen: Getting Started, Next Steps, and Sample Dashboards. We’ll run through them one by one.

This article describes how to monitor a (cluster of) redis server. Bleemeo will detects automatically the redis server (it can runs in a Docker container or directly on the host) and create automatically a service dashboard. This article will also covers creating a custom dashboard with additional metrics.

The Digital Workspace Survey conducted by eG Innovations and xenappblog is one of the largest surveys of its kind, generating over 1,050 responses from IT professionals around the world. 62% of the respondents worked for organizations using digital workspaces for their employees. The remainder came from various types of organizations providing support for digital workspaces. Below are just a few highlights from the report which is packed with insights.

All too frequently system administrators and developers need to keep an eye on critical signals generated by their production systems. However, if these signals are highly specific in nature, tracking them can be tough. Most monitoring systems stick to tracking standard metrics emitted by servers hosting applications. But what happens if you need to monitor a number of specific customers that have signed up in the last hour and custom metrics?

Advertising tycoon David Ogilvy famously remarked, “Half the money I spend on advertising is wasted; the trouble is I don’t know which half.” Replace the word “half” with “one-third” and “advertising” with “public cloud” and you’d describe what enterprises are grappling with right now. They know that not all of the cloud resources they’re paying for are being used, but they don’t know which ones those are.

In May 2021, Google will be putting their new algorithm live which will have a direct impact on your page rankings in their search engine. Unfortunately, no one can hide from this new algorithm change, it will affect everyone who owns a website, especially those that don’t adhere to the new changes that are coming. Google’s update is to further improve user experience on the web.

It’s been more than half a year since I joined Exoprise. When Covid-19 struck last year, it became clear that companies would expand their hiring requirements beyond local regions and find suitable candidates (just like me!). Remote work and the requirement for on-boarding remote workers no longer became a luxury. This is reflected in job portals and HR sites such as Indeed and Glassdoor where they began to insert a new tag “Remote WFH Option Available”.

Marketing and Site Reliability teams rarely meet in most organizations. It’s especially rare outside the context of product marketing sessions or content creation. With observability now pivotal to success, we should be looking to bring the two together for technical and commercial gains. In this piece, we’re going to explore the meaning of observability and its relevance to marketing metrics.

Why do organizations invest in observability? Because it adds value. Sometimes we forget this when we’re building our observability solutions. We get so excited about what we’re tracking that we can lose sight of why we’re tracking it. Technical metrics reveal how systems react to change. What they don’t give is a picture of how change impacts the broader business goals. The importance of qualitative data in business observability is often overlooked.

Circonus’ time-series database, IRONdb, can ingest, compute, and analyze time-series data at greater volume and frequency than any other solution in the market. We realize that’s a bold statement, but we stand by it. In fact, IRONdb can ingest over a trillion measurements per second, giving companies the data granularity they need for better, more accurate monitoring. It also offers unlimited scalability and the highest data safety guarantees.

Metrics Explore is the Logz.io feature for deep dives into Prometheus metrics. Similar to Kibana Discover, it allows for easy querying, pull-down list selections, and other ways to navigate your data. Best yet, you can explore important metadata for detailed metric analysis. There are a few ways to move around the metrics in your system. Get started by finding the Explore icon on the left-hand menu.

A very fun part of my job as a Solutions Engineer at Grafana Labs is getting to learn the ins and outs of a new feature or play with a plugin while it is still in development. So, when I heard murmurs that our latest Enterprise plugin would be an integration with Jira, I felt the forsaken call of the agile sirens luring me back to my days when I worked as a technical writer on a product team.

Network monitoring is the process of looking after your network with the help of various tools and techniques. These tools that are often called network monitoring systems constantly track various aspects concerning your network, such as bandwidth usage, traffic, etc. This tracking is important in case of outages as these systems notify the network administrator immediately. Moreover, network monitoring systems are essential for status updates so that you can improve your system’s efficiency.

Just like that Mobile March Madness 2021 is almost in our rearview. Before we look to April, let’s recap some of our most notable mobile updates from this past month with a few tips on how to solve what matters faster and a sneak peek of what’s coming next. That’s right. We’re constantly improving our mobile monitoring solution independent of our alliteration-based marketing campaigns.

Say goodbye to silos and gain end-to-end application delivery chain visibility. It’s time to take back control with AppDynamics and ThousandEyes.

Topology is a multilayered map showing how everything in the IT environment is related. It's similar to Google Maps, which gives you a bird's eye view into an area and how everything is interconnected. Also, in Google Maps, you can see how traffic is flowing and which intersections may be causing bottlenecks. A view into topology allows similar visibility. You can see how components of an IT system are laid out to interact with each other.

By 2022, Gartner estimates that more than 3 out of 4 global organizations will be running containerized applications in production. With this comes a new set of monitoring challenges — ephemeral, short-lived infrastructure, complex service interdependencies and on-call developers who now need access to data for fast troubleshooting, just to name a few.

Fastly is an edge cloud platform that includes a content delivery network (CDN), as well as services for image optimization, video streaming, cloud security, and load balancing. These services are supported by a network of caches in different locations, which enables enterprise-scale companies to deliver applications to users as quickly as possible, even in times of peak traffic.

Core Web Vitals are a new set of performance metrics that will become part of Google’s ranking algorithm from May 2021. In this blog, we explain how to measure Core Web Vitals scores. There are many ways website owners can find out their Core Web Vitals scores. This includes: PageSpeed Insights, Search Console, Lighthouse, Chrome DevTools, Chrome UX Report, and the Web Vitals Extension.

No one can deny the importance of a proper monitoring system for the effective management of IT infrastructure. You need the most efficient solutions and monitoring tools to optimize performance, make the most out of your resources, and be able to deal with errors and failure conditions. While the traditional way of IT monitoring involves the use of reports, it does have certain limitations.

We’ve been experimenting with new ways to use and operate Prometheus over the past year. Every successful Grafana Agent experiment turns into an upstream contribution for the whole Prometheus community to benefit from. In this blog post, I go over the history of the Agent’s successful — and not so successful — experiments.

For many organizations, applications are the business. But not all companies are aware just how critical an optimal infrastructure is to application performance. AppDynamics + Cisco Intersight Workload Optimizer supports intelligent, highly collaborative problem-solving between AppOps and InfraOps teams to build a truly application-supportive infrastructure for the modern enterprise.

One of the most common concerns when moving to the cloud is cost. Given that cloud allows you to turn IT costs from CAPEX (long-term investments ex. in hardware equipment and software licenses) into OPEX (day-to-day operating expenses), it’s crucial to choose the right service and estimate it properly. In this article, we’ll look at the common pitfalls and discuss how you can avoid them to truly benefit from the cloud’s elasticity.

Optimizing server performance is important in supporting end-user requirements. Using server optimization, actively monitor: Web server monitoring and optimization helps you to troubleshoot bottlenecks as they emerge and optimize server performance. In this post, we will discuss how to optimize performance and why it is important.

Did you know that the VMware Tanzu Observability by Wavefront engineering team not only listens to input from customers, but acts on that input to improve the overall Tanzu Observability experience? In fact, as a direct result of customer surveys, the Wavefront engineering team recently completed 30 days of improvement focused on query quality. I will quickly run through those improvements in this post.

In this article, we are going to look at Microservice architectures, their benefits, what makes them different from traditional monolithic architectures, and how to go about setting up monitoring and alerting for them. MetricFire is a Hosted Graphite, Grafana, and Prometheus service, where we help you set up and manage these open-source tools. If you would like to follow the steps in this blog, make sure to sign up for MetricFire's free trial and even book a demo session.

Let’s talk about The Legend of Zelda: A Link to the Past, and how it relates to DevOps. The game tasks our hero with finding three pendants, which unlock a Master Sword he can use to travel to an alternate realm and ultimately take down the bad guy. The US version of this SNES masterpiece came packaged with a fairly detailed instruction manual that contained an optional guide at the end to help locate the three pendants.

Debugging is the process of identifying and fixing any issues in the source code of a program. Modern IDEs like Eclipse provide debugging tools that make it easier for developers to walk through their code interactively and inspect it to spot and resolve any issues.

The success of any digital workspace technology depends on the user experience and VMware Horizon is no exception. There are many aspects of user experience. When a user first connects, the logon must happen quickly. When the user launches a client application (e.g., Microsoft Outlook, Google Chrome, etc.), the application must be available for user interactions within seconds.

AIOps is fast changing from a technology that was viewed with skepticism to an industry-changing innovation responding to the challenges of managing multifaceted, hybrid IT environments. Recently, our partner Pinnacle Technology Partners (PTP) hosted a panel discussion entitled: “Improving IT Management & Automation with AIOps,” led by Gary Derheim, VP of Managed Services & Marketing at PTP who interviewed executives and technical experts from PTP and OpsRamp.

Modern applications are interdependent on different devices and servers. If you are not familiar with your software structure, you will encounter problems when you make changes within your application. To prevent this, you need to observe application discovery and dependency mapping (ADDM).

Are you looking to get started with InfluxDB on Google Cloud? We’ve pulled together our top resources to help you get the most out of your time series data whether that’s coming from your Google Cloud infrastructure or your own application. Read how customers like Wayfair and Vera C. Rubin Observatory use InfluxDB on Google Cloud to solve their time series data collection and processing challenges to power their multifaceted, complex real-world use cases.

If there’s one thing that Google doesn’t want to happen, it’s Google Ads going down and unfortunately for them, that is exactly what happened on March 24th 2021. The worst part is, the outage didn’t merely last a few seconds or minutes, Google Ads was down for hours in Europe.

Businesses of today are faced with an extensive list of technical solutions, both on-prem and in the cloud, with which to manage their business services and systems. As the complexity of IT infrastructures increases so does a business’s ability to maintain service levels. If new systems and processes are not aligned and synchronized across a business, it can result in a lack of visibility, which can negatively impact critical services.

The key to maximizing revenues and ensuring foolproof security is to actively monitor infrastructure. With virtualization growing increasingly, virtual machine or VM performance monitoring is one of the most crucial parts of infrastructure monitoring. This is because as opposed to a physical server or machine, detecting problems in a VM can be even more challenging.

Hey everyone! It’s been a while since we've gone on a learning journey together, after the Azure Monitor Learning Path. I’m thankful for the love that series received, and since then, I've been looking for another opportunity to take on something new and share my learning experience with you all. Finally, the time has come!

Grafana v7.5 has been released! This is the last stable release before we launch Grafana 8.0 at GrafanaCONline in June. Register for free now, so you won’t miss the great sessions we’re planning around all things Grafana. And if you’re doing something special with Grafana that you’d like to share with the community, the CFP for GrafanaCONline is open until 06:59 UTC on April 10! Now, back to 7.5.

Like many companies, Sentry uses feature flags to determine when certain users see certain features. Recently, we decided to switch our feature flag software to an open-source system called Flagr. And while implementing Flagr, we used our new Performance tools to find — and ultimately fix — a serious issue in how we were fetching our flags.

Every service you acquire to use temporarily and let go of when you’re done can use the “as a service” suffix. A cab is a vehicle as a service. Rather than buying a car, you merely pay to have another person’s car move you from one point to the next. IT services embody the same model. Browser-based text editors alleviate the need to install fully-fledged word processors on computers.

The concept of unified IT observability has gained newfound importance in today’s world of remote work, hybrid infrastructures, and technological convergence. In this video, Christina Kosmowski, President at LogicMonitor, shares five tips on how to power your business forward and achieve unified IT observability during uncertain times.

Catching up with Nouveal’s CTO and co-founder, Guillaume Fayolle, about the creation of the Covidom application and its role in the pandemic.

Pingdom is one of the most used website monitoring tools, with almost 15 years in the business. It excels at providing simple and reliable synthetics as well as real user monitoring. This monitoring tool provides a simple public status page, but as you might have noticed it’s quite limited. It only serves as a display of your uptime and response time history, not much more than that.

It shouldn’t be a surprise that Lambda configuration error is one of the most common error messages, and we all know AWS error messages aren’t known for being especially detailed. Oftentimes you will come across other vague error messages like “encoding not enabled,” or “stream is failing,” and depending on the context, this could mean your services could be completely down.

First impressions matter. The first day of a new job can be daunting, especially in a post-2020 world. Back in 2019, you might have asked yourself questions like: is this office going to be open-concept or a bunch of cubicles? Will I get to sit near a window with some natural light or are they going to stick me next to the bathroom? Now new hires ponder questions like: what will my digital work environment look like? Will IT send me a new laptop, camera, and speakers?

Have you ever seen one of those old war movies where some grizzled veteran is whispered to have the fabled ‘1,000-yard stare’? Well, you need to keep an eye for it among IT teams too. IT Support Fatigue was already a very real problem before the pandemic, and has only become more severe in the months since. It’s an issue we explored in the Nexthink Pulse Report.

When you are configuring your event log monitor settings, you need to decide which event log events you need to worry about. Event logs are generated for a wide array of processes, applications, and events. Logs will record both successes and failures. As such, you need to decide what data is most vital and needs your immediate attention.

There is an idea of the relationship between observability and monitoring, that they complement each other in an inseparable way. While true that you can only monitor a system that is observable, the line dividing observability and monitoring grows narrower with every deployment you make; making these two practices less of a pairing and more a single entity.

Logz.io is focused on creating the best observability service to manage the scale of monitoring, add value on top of AI/ML technologies, and enhance enterprise security. Metrics is one of the pillars of Logz.io, and our Prometheus-as-a-Service offering. It has been a crucial part of our platform goals, but if we turn the clocks back a year, our service only used the open-source Elasticsearch database (ES).

Software companies are in a constant pursuit to optimize their delivery flow and increase release velocity. But as they get better at CI/CD in the spirit of “move fast and break things,” they are also being forced to have a very sobering conversation about “how do we fix all those things we’ve been breaking so fast?” As a result, today’s cloud-native world is fraught with production errors, and in dire need of observability.

My Grafana Labs colleague RichiH recently talked about why IoT and time series databases work so well together. It just so happens that we have a highly scalable time series database on hand. Let’s talk about that. My name is Goutham, and I am a maintainer for Cortex. I have been working on it for nearly three years out of the four-and-a-half years the project has existed. Cortex is built to serve as a scalable, long-term store for Prometheus.

Monitoring the current state and performance of applications is critical for IT Ops and DevOps teams alike. Understanding the health of an application is one of the most effective ways of anticipating potential bottlenecks or slowdowns, yet it’s one of the largest challenges faced by many organizations that build and deploy software. This is largely due to applications’ distributed and diversified nature.

In this first edition of our Customer Spotlight series, we are joined by James Kahn and Ben Gittins of Idea 11. Idea 11 is an award-winning, full-stack AWS IT company that specializes in digital transformations, cloud infrastructure, software development and managed services.

Over a year after COVID-19 was declared a global pandemic, the hope of speaking about it in the past tense is something we all still hold on to. Not only are we still being challenged by it in the present, but it has changed the way we think and do many things. However, just because something has become normalized over time (out of necessity) doesn’t mean that everyone has adjusted without incident.

Kafka is a distributed, highly available event streaming platform which can be run on bare metal, virtualized, containerized, or as a managed service. At its heart, Kafka is a publish/subscribe (or pub/sub) system, which provides a "broker" to dole out events. Publishers post events to topics, and consumers subscribe to topics. When a new event is sent to a topic, consumers that subscribe to the topic will receive a new event notification.

IT Operations teams are often the bedrock of the digital business, ensuring that processes and services continue humming smoothly as developers continue to evolve and increase customer value. But increasingly complex systems can flood them with alerts that get in the way of operators from doing their best work and paving the way for new, innovative services.

Last week we released Telegraf 1.18 with a range of new plugins including Elastic Beats, directory monitoring, NFS, XML parsing and some aggregators and processors to help with your data ingestion. All of these packages were written in Go 1.16.2. This was one of our largest releases in a while and couldn’t have been done without the 70+ Telegraf community members who contributed to writing plugins, fixing bugs, reviewing code, and everything else to improve Telegraf!

From 1st May 2021, Google will start judging your website based on a new set of performance metrics called Core Web Vitals. This initiative is focused around user experience and will become part of Google’s ranking algorithm. Failing them is bad, getting them right is a huge opportunity. Only 23% of businesses currently pass these tests consistently, so organic SEO will be negatively impacted for the large majority of companies.

What if I told you that monitoring network traffic is a lot less daunting than it actually seems? I think I have your attention. As a network has various moving parts, understanding it all can be a serious challenge. If something breaks or a component stops working correctly, implementing a quick troubleshooting process is essential. If you can't fix the issue right away, this could be detrimental for your end users, leading to more severe complications.

In today’s post, we’ll dive into how we, at AppSignal, solved a daunting engineering challenge. Giving you a look into the kitchen, this post will show you how we tested a new database in production without having to worry about errors/downtime. Alright, let’s get cooking!

Over the past few months, we’ve been working on some major updates to Circonus — a new dashboard builder and interface along with several turnkey service dashboards. In the following post, we’ll share the motivation and process behind this project, then walk you through what you can expect. Circonus has provided the ability to create custom drag and drop dashboards for some time. However, this feature was added several years ago.

As part of my job as a Senior Solutions Engineer here at Grafana Labs, I tend to pretty easily find ways out of technical troubles. However, I was recently having some Wi-Fi issues at home and needed to do some troubleshooting. My experience changed my whole opinion on logs, and I wanted to share my story in hopes that I could open up some other people’s eyes as well. (I originally posted a version of this story on my personal blog in January.) First, some background info.

Running and troubleshooting production services requires deep visibility into your applications and infrastructure. Virtual machines running on Google Compute Engine (GCE) provide some system logs and metrics without any configuration required, but capturing application and advanced system data has required the installation of both a metrics agent and a logging agent.

It can be really exciting when your development team is growing fast! But then you soon realize that managing all the developer tools to constantly create new projects or add users is becoming a full-time job. Well, not anymore. At least, not for Rollbar. We’re releasing our HashiCorp Terraform Verified Provider for Rollbar today, built in partnership with HashiCorp.

In my recent article Understanding Citrix Latency Metrics to Troubleshoot Remote Worker Issues, I explained some causes to “Citrix is slow” complaints and delved into the latency metrics that are available to assist with troubleshooting.

On one of our monthly check-in calls, the Director of Infrastructure and Operations at one of our largest customers, was telling me how the one big problem he was still trying to solve is optimizing their OPEX or at least make it more predictable. He cited a popular Content Delivery Network (CDN) that they spend millions with as an example. The company had launched a new service and he spoke about how the CDN cost had quadrupled.

There are more than eight hundred pages of documentation for Pandora FMS. The science – and art, I think – of monitoring is very extensive. The needs of a large company are different from those of a medium or small organization. But even two large companies are not the same and their needs may be totally different.

Our product & dev team has been cranking out so many small, medium and big updates the last ~2 months, we thought we'd do a comprehensive sum up. Grab some coffee ☕️ and strap yourself in: the list is quite long!

The current landscape of what our customers are dealing with in monitoring and observability can be a bit of a mess. For one thing, there are varying expectations and implementations when it comes to observability data. For another, most customers have to lean on a hodgepodge of tools that might blend open source and proprietary, require extensive onboarding as team members have to learn which tools are used for what, and have a steep learning curve in general.

We are pleased to announce the general availability (GA) of Elastic 7.12. This release brings a broad set of new capabilities to our Elastic Enterprise Search, Observability, and Security solutions, which are built into the Elastic Stack — Elasticsearch and Kibana.

We are proud to announce the 1.0 release of the Elastic APM PHP Agent! If you are interested in this work, please try the agent and let us know how it works for you and what features you miss! The best way to give feedback and ask questions is in our discussion forum, or if you find an issue or you would like to submit a pull request, jump to our GitHub repository. The agent is Apache-licensed, and we are more than happy to receive contributions from the community!

We are often asked what’s the difference between Anodot and Datadog. Since both platforms monitor data at scale, using machine learning to detect anomalies and incidents, the differentiation might be unclear. So we’re using the real estate here to quickly clarify what each platform is built for, and why – despite some overlaps in features – these are two fundamentally different creatures.

After we’d fixed Aparna’s network issue, James came to see me at my desk. Masks on, socially distanced and all that, but it was nice to have some face-to-face time. James is cool – that dry British humor and not your classic IT Ops dude. He’s been here forever and mentored me when the CIO, Charlie, hired me as the first SRE here a year or so ago. I lucked out really.

In the 21st century, it’s quite easy to manipulate machines and computers. Our worries are no longer if something is doable, but if something can be perfected. Therefore, we mostly search for new ideas and ways to make our work impeccable. For example, if you’re using a particular software and you realize that the software is excellent, but it could be better in some ways that would allow you to work even faster, you’ll explore the alternatives.

Giraffe is InfluxData’s graphing library, built to use and graph the data coming from InfluxData’s time series database, InfluxDB. Yes, there are other graphing libraries available; but ours is the only one purpose-built to graph line protocol without having to convert it. Plus, we have lots of great features, like legends and colorization, without much configuration. So, how to get started?

Microsoft 365, formerly known as Office 365, is a suite of cloud-based productivity and communication services that is used by more than one million companies worldwide. The applications included in the suite are critical to the daily workflows of subscribers and therefore require careful monitoring in order to minimize the effects of downtime and ensure optimal usage.

Log Monitoring is a crucial step in ensuring to know what’s happening in all your servers from a single location. Did you know Log Monitoring tools are implemented by the strategy called “defense-in-depth”? Boom!!! That’s where the log monitoring concept developed, and now we have many log monitoring tools in the market. Issues that users face in the log monitoring tool: We considered all the above points while we designed our tool.

As the product manager for Grafana Cloud, I am constantly following the progress of all the new features that our engineering teams are working on, from early ideation to release. We’re always excited to share updates with the community, so you can all try them out and let us know what you think. So each month, I’ll be rounding up the latest Grafana Cloud features and improvements on the blog.

We recently released the Lumigo Dynamic Dashboard to help our customers visualize metrics to monitor their environment the way they want.

COVID-19 certainly accelerated some trends. For example, in my view, COVID-19 accelerated the pace and progress of digital transformation by five to 10 years, as companies faced the need to adapt to a post-COVID-19 world, involving permanently the higher adoption of remote work, remote education, and digital touch-points. Technologies requiring less human touch and more digital touch-points will be adopted faster in the aftermath of COVID-19.

When you're a single person running a system with thousands of users or more, it can be pretty daunting to think about going on holiday, or even relaxing for a weekend. "What if it goes down, and I'm not there to fix it?!" you ask yourself. While you can never really guarantee that nothing will go wrong, you can take some steps to minimise your risk of things going wrong.

You are at your desk, when all of a sudden there seems to be a hum that is growing louder, your heart starts to pound and you quickly realize that you might be in the midst of another Microsoft outage. You know that right now, Microsoft is your organization‘s core workforce engine and the backbone to ensure productivity - any outage or decrease in service quality can cause widespread productivity declines.

Over the last year, most organizations have deployed or expanded digital workspaces to support employees working from home. One of the most popular technologies for digital workspaces is VMware Horizon. In this blog, we discuss the top performance challenges that administrators of VMware Horizon deployments have to tackle.

The principles of network security didn’t change overnight, but our abrupt transition to a remote workforce dismantled traditional concepts of how we secure our network. Offices were designed for people to access their resources on-site or through a few well-defined locations; security took the form of inline firewalls, web gateways, and VPNs that were routed through a datacenter or other resource hub.

Hybrid IT is here to stay. As companies are moving to the cloud faster than ever, fueled by necessity during the pandemic, enterprise IT organizations must determine how to shift operations accordingly. Managing highly-distributed, multi-cloud IT environments is the new norm.

Android is arguably the most ubiquitous operating system in the world. Whether it’s a tablet, phone, folding phone, computer, TV, or IoT device, chances are you’ve interacted with Android OS. And to help developers get full visibility into how their customers experience Android’s myriad applications, we’re extending Performance to Android.

We recently launched the public preview of a new tool that lets anyone dashboard anything – for free. Meet Dashboard Server! You can download it free because we wanted to get our incredible dashboards in the hands of more people. The SCOM community know us well but our dashboards are perfect for so many use cases beyond System Center monitoring. And if you love them as much as we think you will, all we ask in return is that you share that love by spreading the word.

In a previous post I explained how to send metrics to Logz.io Infrastructure monitoring with Prometheus—now let’s analyze them by building Prometheus dashboards and visualizations in our metrics UI! Once you’ve started to send metric data to Logz.io, how do you visualize and interpret that data so that it’s useful for you? Logz.io Infrastructure Monitoring provides powerful querying and visualization of your data.

Circonus’ new Linux host monitoring dashboard is the most comprehensive host monitoring available in the market – yet also extremely easy to install and use, allowing users to more efficiently and accurately monitor their Linux hosts and diagnose and resolve issues. The turnkey dashboard uses our new Circonus Unified Agent (CUA) – a single collection agent that consolidates all host and services monitoring.

Windows event logs are important for security, troubleshooting, and compliance. When you analyze your logs, you can monitor and report on file access, network connections, unauthorized activity, error messages, and unusual network and system behavior. However, Windows servers produce tens of thousands of log entries every day.

Monitoring has always been a crucial operation in a software development cycle. This is mainly because of the complexity of industry-level IT and consumer-facing product development. Additionally, there is an ever-growing demand for rapid upgrades in products. To meet these requirements, streamlined performance and stability have become more important than ever; and without effective monitoring practices, they appear difficult to achieve.

We all want our monitoring systems to alert us when things go wrong. While it’s important to get alerts in the event of a failure or latency problem on something specific such as a SQL database, it’s actually just as important to not receive alerts from too many specific sources in the same alerting channel. If our monitoring system starts to fatigue us, we will ignore alerts until the phone calls and Emails from end users start letting us know a service is impaired or unavailable.

More than once, I’ve heard experienced software developers say that there are only two reasons to log: either you log Information or you log an Error. The implication here is that either you want to record something that happened or you want to be able to react to something that went wrong. In this article, we’ll take a closer look at logging and explore the fact that log levels are more than just black or red rows in your main logging system.

With the volume, velocity, and variety of today’s data, we have all started to acknowledge that there is no one-size-fits-all database for all data needs. Instead, many companies shifted towards choosing the right data store for a specific use case or project. The distribution of data across different data stores brought the challenge of consolidating data for analytics.