Despite the ongoing pandemic, 2020 was still a record year for venture capital investments into American startups, which amounted to $156.2 billion, according to a recent PitchBook report. Being an astute entrepreneur, you’ve likely thought of everything to enable your startup business to hit the ground running — branding, product logos, hiring staff, equipment purchases, and structuring your business roadmap. You are ready to take the marketplace by storm — or so you think.

Statsig is a modern experimentation platform that provides crucial insight into how new features are received by your users, so you can make informed product decisions and deploy with confidence. Statsig automatically runs A/B tests on features as they’re rolled out, and measures their impact on key business metrics, such as user growth and engagement.

MEAN is evolving as a popular web stack for developing cloud native applications because of its scalability, ease of extension, and high reliability. Each component in MEAN is built on JavaScript, contributing to a cohesive development platform. In this post, we take you through the log management options that are available for each component of the MEAN stack framework and their respective limitations – limitations that are addressable with a refined log management solution like observIQ.

If all you have is the beginning and the end, you’re left with a short, boring story: “Once upon a time, it was UP…then, it was DOWN.” Knowing the twists and turns of your transaction pathways is not only illuminating, but profitable. Information channels dry up when all you have are pieces.

Welcome to another monthly update on what’s new from Sysdig! This month’s big announcement is our new support for Prometheus as a managed service. There are several individual features behind this which we cover in more detail below, but here is a summary: Also, Kubernetes 1.22 was released and we shared our review of what to look out for. Go check out our Kubernetes 1.22 – What’s new? post if you haven’t already.

Application performance monitoring tools, or APMs, help give developers feedback so they can understand whether their programs are working the way they had planned for their users and clients. It also provides information about the software’s quality. Most DevOps teams use these tools throughout the software development life cycle. This way, they make sure that they cover their grounds before releasing software into the market.

“How am I supposed to debug this?" Just imagine: Late Friday, you are about to shut down your laptop and … an issue comes up. Warnings, alerts, red colors. Everything that we, developers, hate the most. The architect decided to develop that system based on microservices. Hundreds of them! You, as a developer, think why? Why does the architect hate me so much? And then, the main question of the moment: How am I supposed to debug this?

Enrique Fueyo Ramírez is the Co-founder and CTO of Lang.ai. Here’s a post on how him and his team at Lang.ai instrumented performance monitoring for GraphQL resolvers.

A service desk is the focal point of an IT organization to render services, and the quality of its services determines the perception of being a valuable part of the organization. The ongoing transition of businesses to adopt cloud infrastructure has forced IT organizations to modernize their service desks, which include vendors adopting cloud capability and smart automation powered by AI.

Collaboration tools like Slack and Teams are here to stay. They’re very much inseparable from the distributed workforce that we all continue to find ourselves in. A robust set of integrations are then an essential part of today's monitoring and observability platforms. Feeding Catchpoint data into your support team via a Slack channel could be the difference between catching a disruption early or having to respond to a full-blown outage.

The age of storing data only on paper is long gone. In this age, almost everything has become digital. Businesses, services, data sharing—everything has gone online. And servers play a major role in making this possible. Though it might look simple to users, a lot happens on the back end. Servers have a wide range of applications—application hosting, email management, proxies, file transfers, etc. Different servers specialize in different services.

Systems run into problems all the time. To keep things running smoothly, we need to have an error monitoring and logging system to help us discover and resolve whatever issue that may arise as soon as possible. The bigger the system the more challenging it becomes to monitor it and pinpoint the issue. And with serverless systems with 100s of services running concurrently, monitoring and troubleshooting are even more challenging tasks.

Using Node.js as a JavasScript runtime has its advantages. However, it requires significant maintenance to keep it working as expected. Here are the top metrics you should monitor for Node.js performance measurement analysis. Application programming interfaces or APIs that use the Node.js runtime environment are scalable. Node.js is asynchronous and event-driven, which means the application can handle multiple connections at the same time.

With so many of us working from home full time for the last 16 months, VPNs have become essential tools for companies to keep their staff working in a safe environment. What we mean by “safe” is mainly about your online presence whilst performing daily tasks for your job.

Anyone tracking the evolution of the IT industry is probably familiar with the concept of Industry 4.0. Essentially, it describes the process by which traditional industrial tasks become both digitized and continually managed in an IT-like fashion via modern technologies like cloud computing, digital twins, Internet of Things (IoT) sensorization, and artificial intelligence/machine learning.

Businesses and successful social enterprises might need to move their website to a new host or server for various reasons. Perhaps you've expanded beyond what your current provider can offer or need a faster server or host. No matter the motivation, making website migrations more efficient is essential to keeping your business operations running. Although technological advancements have improved the delays that result from transferring sites, there can still be a lengthy delay.

DevOps is a common name in the technology household. Teams, small or big, are embracing this concept to deliver applications faster, improve software quality, and add efficiency in the development process from the very beginning. Shortening the feedback loop leads to a cost-effective way for businesses to find and fix defects earlier in the cycle process. Plus, it lowers the software failure rate in production and minimizes time wastage for the development team.

Over the years, we’ve heard many versions of the same familiar story: large businesses struggling with observability data living in several different systems. At Grafana Labs, our “big tent” philosophy is based on the belief that our users should determine their own observability strategy and choose their own tools. Grafana allows them to bring together and understand all their data, no matter where it lives.

If your organization is frustrated with how long it takes to roll out new applications and updates, they are not alone. Speed-to-market is an obsession at many companies today (see call-out box below), so anything that restricts or slows it down is a problem.

Many organizations are shifting vast portions of their applications and infrastructure to the cloud in pursuit of lower IT costs, greater business agility, improved security, and accelerated corporate growth.

First of all, don’t ask this! Instead of asking what to log, we should start by asking “what questions do we want to answer?” Then, we can determine which data needs to be logged in order to best answer these questions. Once a question comes up, we can answer it using only the data and knowledge that we have on hand. In emergent situations such as an unforeseen system failure, we cannot change the system to log new data to answer questions about the current state of the system.

The ASP.NET Core framework provides cross-platform support for web development, giving you greater control over how you build and deploy your.NET applications. With the ability to run.NET applications on more platforms, you need to ensure that you have visibility into application performance, regardless of where your applications are hosted. In previous posts, we looked at instrumenting and monitoring a.NET application deployed via Docker and AWS Fargate.

Grafana Tempo 1.1 has been released, and like our major version suggests, there are no breaking changes. If you’d like, please check out the release notes . But if you find that release notes can sometimes be difficult to decode, fret not! All the highlights are below.

Providing an effective service – especially in a world with constantly evolving needs – goes beyond standard operating hours. Imagine if a bank only kept your investments secure while they were ‘open’ during their hours of standard operation? Issues can arise at any time and having effective service delivery monitoring and support for enterprise’s IT teams and managed service providers is critical.

Complex architectures, pressures to deploy faster, and demand for optimal performance have placed greater strain on monitoring teams and as a result, an increasing number are looking to implement more advanced monitoring techniques. Part of the initial challenge around this is understanding what advanced monitoring techniques actually are. In this article, I help clarify this by differentiating basic and advanced monitoring, with examples on how each would be applied to Postgres monitoring.

It sounds like a wild claim, considering that billion dollar companies like Splunk, Datadog, New Relic, and Solarwinds are consistently making national headlines, for both good and bad reasons. Observability leaders are anything but invisible, so how can the perfect solution be different? Are they that far off?

On this day in 1955, the first edition of the “Guinness Book of Records” was published in London.

HTTP/2 (originally named HTTP/2.0) was a major revision of the HTTP network protocol used by the World Wide Web published in 2015. Indeed, those in the Citrix/EUC ecosystem may remember Marius Sandbu investigating the benefits of HTTP/2 for NetScaler, Microsoft IIS, and Storefront users back in 2015/6. HTTP/2 was the first new version of HTTP since HTTP/1.1, which itself was standardized in RFC 2068 in 1997.

Application performance management is one of the essential steps that every business must complete to ensure that their products work as desired and give the best experience to the end-users. There are many tools for application management available in the market, but if you want to select the best one for your business, you would need to try out each tool one by one.

We’re thrilled to announce the release of Grafana Enterprise Metrics (GEM) 1.5. While this release packs in a ton of enhancements and bug fixes, we’d like to dive into two particularly exciting features: per-tenant usage metrics and a wildcard tenant for queries.

As I said before, Speed is King. Business requirements for applications and architecture change all the time, driven by changes in customer needs, competition, and innovation and this only seems to be accelerating. Application developers must not be the blocker to business. We need business changes at the speed of life, not at the speed of software development.

There is nothing worse than waking up to an angry customer complaining that your website is failing to accept their payment at checkout. This may be worrying for some since payments not being processed can be equivalent to losing money; however with Tag Spotlight, this should be a relatively quick problem to dissect. The key question here is whether this is an issue that all our customers are facing or an isolated event.

One of the best things about getting started with InfluxDB over traditional relational databases is the fact that you don’t need to pre-define your schema in order to write data. This means you can create a bucket and write data in seconds, which can be pretty powerful to developers who care way more about the application they’re building than the mechanics of storing the data.

Interlink Software’s capabilities have been gaining a good deal of industry analyst recognition in recent months. We’re pleased to announce yet more recognition; Interlink has been included on Constellation Research ShortList™ for“Using Artificial Intelligence in IT Operations (AIOps)”, Q3 2021.

Conviva is a platform that helps businesses gain real-time insight into the overall performance and playback quality of their streaming video content. With video streaming workflows, slow start-up times and playback errors can hinder user experience and ultimately drive customers away. With Conviva, you can view key Quality of Experience (QoE) metrics, including video playback failures, rebuffering ratios, and other business-critical data to help monitor and enhance your viewer experience.

Following best practices when logging helps make sure they contain the right information when needed. Some common best practices for logging errors in.NET are listed below.

When your organization’s very ability to share, collaborate and meet depends on Microsoft Teams performing, solely watching Teams service availability simply isn’t enough. Employees operate on the assumption that every bit of technology they rely on just works. Teams is the modern example of the most critical application to businesses today, with over 145 million daily active users.

At the heart of RapidSpike is a development team who are passionate about pushing their abilities, learning new technologies and ultimately driving our software and product forward. We’ve researched and developed many cutting-edge features over the last 6 years but we’re shifting our focus this year. We’re taking a step back from new feature development in favour of upgrading, exploring and applying new technologies to existing functionality.

All of us here at Catchpoint are passionate about continuously innovating and improving our product to make our customers’ lives better. Part of this process involves regular product releases is – and this latest one, Hercules, is no exception. A big focus area for this release has been improving the usability, quality, and performance of the Catchpoint portal and agent.

At the moment I’m working at a tool for migrating Icinga 2 IDO history to Icinga DB . Sure, one could also run IDO and Icinga DB in parallel for one year and then switch to Icinga DB if they only care for the history of the past year. But the disadvantage is: one would have to wait one year. Nowadays (in our quickly changing world) that’s quite a long time.

Here is a quick round up of the newest product features, resources, and events!

We are excited to announce that Elastic is joining forces with Cmd to accelerate our efforts in Cloud security - specifically in cloud workload runtime security. By integrating the capabilities of Cmd's expertise and product into Elastic Security, we will enable customers to detect, prevent, and respond to attacks on their cloud workloads.

While we know the many benefits of going serverless – reduced costs via pay-per-use pricing models, less operational burden/overhead, instant scalability, increased automation – the challenges of going serverless are often not addressed as comprehensively. The understandable concerns over migrating can stop any architectural decisions and actions being made for fear of getting it wrong and not having the right resources.

A WS is a comprehensive platform with over 200+ types of cloud services available globally. As organizations adopt these services, monitoring their performance can seem overwhelming. The majority of AWS workloads behind the scenes are dependent on a core set of services: EC2 (the compute service), EBS (block storage), and ELB (load balancing).

This post was written by James Hickey. Scroll below for full bio and picture following this article. Time series databases (TSDBs) can transform the way you handle streams of data in real time or IoT applications. In this tutorial, you’ll learn how to set one up in a C# application. Relational databases have their place. They’re great at things like data normalization, avoiding duplication, indexing over specific data points (like columns), and handling atomic changes to the schema.

LogDNA integrates with your PagerDuty instance to help trigger incidents based on log data coming in from your ingestion sources. This allows your teams to quickly understand when there are issues with your application, and where in the logs you can investigate to understand root cause. To help further accelerate your team’s ability to understand the state of your applications, we are introducing the ability to automatically resolve those PagerDuty Incidents directly from LogDNA.

User experience is subjective. For example, asking tourists visiting New York City about their experiences gives different answers. Likewise, end-users who work remotely with different resources and disparate assets can have varied experiences with their business applications. How can IT teams gather this experience data and react faster to improve experience? The answer is Digital Experience Scores.

Logging is useful in building, managing and debugging Rails applications. Most logging functionalities are built into the application, and it is fairly simple to find the logs. However, as your applications scale up in volume, it becomes difficult to trace the source of an issue. That’s when you want to implement a cloud based log management system to get a unified view of all logs from your Rails application.

A few weeks before I sat down to write this article, I reshared my two month review of OnlineOrNot around the internet. Surprisingly, the article was quite popular: So I thought I'd clear up some confusion for the folks who only just read my two month review: I started OnlineOrNot on February 25, 2021, shipped the first version for people to use on March 2, 2021, and here I am in August writing the six month review.

Observability is one of the biggest trends in technology today. The ability to know everything, understand your system, and analyze the performance of disparate components in tandem is something that has been embraced by enterprises and start-ups alike. What additional considerations need to be made when factoring in cyber resiliency? A weekly review of the headlines reveals a slew of news covering data breaches, insider threats, or ransomware.

Application Performance Monitoring is a crucial necessity for modern businesses. No application can survive without a proper monitoring system. There are way too many things that can go wrong, so you must put your best foot forward in terms of choosing a monitoring system that is effective and economical at the same time. This guide aims to help you decide between three top application performance monitoring tools in the market - AppDynamics, Splunk, and Scout.

This morning, we announced that Grafana Labs has raised $220 million in Series C funding . As with our previous rounds in 2019 and 2020 , this funding will enable us to focus on accelerating the development of our open source observability platform and supporting the success of our community and our customers.

High performance automobiles are built to be driven on the open road, at high speeds, hugging each curve and accelerating on the straightaways—they’re not for trips to the grocery store.

You have two choices when deploying eG Enterprise: Wherever you choose to locate your eG Manager, eG Enterprise does not and will never collect data from your systems. There is never a data feed going from eG Manager to any outside system unless specifically configured by the customer and we do not incorporate any dubious call-home technologies. Before installing eG Enterprise, you will also need to consider the factors discussed in the Where to locate the eG Manager?

Network traffic analysis is the method of collecting, storing, and analyzing traffic across your network. Traffic data is collected in or near real time so you can have up-to-the-second information about what’s happening. This allows you to take action immediately if a problem arises. You can also store this data for historical analysis.

“Network traffic” is a term that describes the influx and outflux of network packets within an organization’s network. Understanding and monitoring this traffic is an important step in protecting an organization’s health. This blog post discusses what network traffic is, the different types, and how you can monitor it.

In early 1900, Sakashi Toyoda invented a loom that automatically stops when the thread breaks, limiting the need for someone to watch the machine constantly. This approach was later named “Jidoka” and became one of the two pillars of the TPS (Toyota Production System) with just-in-time production representing the second pillar.

We recently announced the new Splunk App for Content Packs, your single source for all the goodness that is content packs. This new app makes it easier than ever to get started with Splunk for IT use cases. Individual content packs come with prepackaged content and out-of-the-box searches and dashboards, helping streamline workflows and ensuring you get the most out of your usage with Splunk IT Service Intelligence (ITSI) and Splunk IT Essentials Work (ITE Work).

Logs are an essential part of an effective monitoring strategy, as they provide granular information about activity that occurs anywhere in your system. In serverless environments, however, you have no access to the infrastructure that supports your applications, so you must rely entirely on logs from individual AWS services when troubleshooting performance issues.

On the last day of GrafanaCONline in June, our CEO Raj Dutt announced that Grafana Labs had acquired k6 , the company behind the open source load-testing tool. In fact, our relationship with k6 had started more than two years earlier. At the beginning of 2019, we were working on replacing Grafana’s “remember me” cookie solution with a short-lived token solution for the Grafana 6.0 release.

Slow apps frustrate users, which leads to bad reviews, or customers that swipe left to competition. Unfortunately, seeing and solving performance issues can be a struggle and time-consuming. Most developers use profilers within IDEs like Android Studio or Xcode to hunt for bottlenecks and automated performance tests to catch performance regressions in their code during development. However, testing an application before it ships is not enough.

HR people have a saying: right person, right place, right time, meaning that the right resources can make all the difference when it counts. The same goes for Incident management and response, where very often the wrong person, place, or time can contribute to mounting catastrophe. As systems grow, the right person really can make the difference during an outage simply due to command or knowledge of the system.

As developers, we spend a lot of time in our IDEs writing new code, refactoring code, adding tests, fixing bugs and more. And in recent years, IDEs have become powerful tools, helping us developers with anything from interacting with HTTP requests to generally boosting our productivity. So you have to ask — what if we could also prevent security issues in our code before we ship it?

Register for the webinar and download the full study to see and apply Forrester’s financial model to determine the observability ROI for your organization. Many teams want to adopt observability and Honeycomb—but run into budget roadblocks because budget holders may not clearly understand the quantifiable benefits to their end users, their teams, and the bottom line.

We’ve seen time and again how serverless architecture can benefit your application; graceful scaling, cost efficiency, and a fast production time are just some of the things you think of when talking about serverless. But what about serverless security? What do I need to do to ensure my application is not prone to attacks? One of the many companies that do serverless security, Protego, came up with an analogy I really like.

Migrating workloads to the cloud can be tricky. In fact, a study Virtana conducted earlier this year found that 72% of respondents had to move applications back on-premises after migrating them to the public cloud because they ran into a variety of problems. Clearly, organizations need to address these showstoppers.

As a Nexthink V6 Customer, you’re already realizing the power and value of a proactive, Digital Employee Experience (DEX) management solution: more productive employees, reduction in employee issues, and a smoother, more accelerated time-to-resolution for employee-reported IT issues.

A fundamental element of the Kubernetes microservices system is the services model, which gives teams greater understanding of how their applications are deployed. These objects running within pods and containers, by extension, are RESTful since they’re based on APIs. However, DevOps teams can’t hope to run a tight ship without managing their services. Communication and visibility are absolutely crucial in a Kubernetes system.

In the first post of this series, we covered the general idea and benefits of model-driven observability with Juju, but did not dive deep into the idea of contextualization and how it makes observability more actionable. In this post we start addressing what contextualization means in model-driven observability, starting from adding Juju topology metadata added to telemetry, and how that improves the processing and querying the telemetry for charmed applications.

Companies are always looking for transparency and visibility when it comes to monitoring, but as monitoring requirements and methods evolve, it’s not always easy to keep up. That’s why Opsdis, an observability consulting company based in Göteborg, Sweden, was founded. The firm focuses solely on helping clients implement systems for monitoring and metrics so they can keep up with the ever-expanding world of cloud computing and containerized environments.

Inevitably, in the lifetime of a service or application, developers, DevOps, and SREs will need to investigate the cause of latency. Usually you will start by determining whether it is the application or the underlying infrastructure causing the latency. You have to look for signals that indicate the performance of those resources when the issue occured.

We launched the Stanza log agent just over one year ago. Stanza is the result of an uncompromising stance on performance, processing, and configurability for log telemetry. It took mere days for friends and colleagues in the space to raise the obvious objection – there are already so many logging agents, so why spend time on a *new* one? We also heard from competitors who had a snarkier take…

You may have come across the word "nameserver" if you maintain your own website. You may, however, have no true idea of what one is or how it works. Knowing a little about the “nameserver” concept can help you manage your website. Simply said, nameservers help browsers in establishing links between URLs and websites. They're essential since we'd have to memorize IP addresses to visit websites if we didn't have them.

Over the last 15-plus years, the Payment Card Industry Data Security Standard – a.k.a. PCI DSS – has endured as the bellwether of IT security standards. For today’s e-commerce vendors and cloud centric retailers, maintaining alignment with “PCI” remains as relevant as ever, especially given the continued proliferation of threats and diversity of cloud and hybrid environments.

You’ve seen the movie. You know the scene. There’s a diabolical criminal on the loose, a city in fear—and one obsessed investigator in dogged pursuit of justice. Her eyes are bloodshot from too many sleepless nights, too much caffeine, and too many cigarettes. She paces frantically in a windowless room. On the wall is a corkboard festooned with maps, notes, and pictures, and a web of red string is woven haphazardly across a clutter of seemingly unrelated clues.

Engineering time is a precious resource. We often have to balance many tasks and often conflicting priorities. In this article, we’ll look at ten activities for which allocating more time can be beneficial. Let’s learn from the mistakes of others.

We are pleased to announce our newly launched dashboard design which we have created to assist cross team collaboration for users that prefer to use multiple Stacks per account. We understand that Cybersecurity specialists, Sysadmins, Product owners, developers and CTOs may all have different requirements for using our platform for logs and metrics analysis.

Developers of any skill set find it frustrating when we don’t have access to the information we need. We want easy and complete access to application logs so that we can troubleshoot application problems. Quickly resolving issues requires a complete picture of what’s going on. Using the wrong tools limits our ability to determine what’s wrong, slowing the repair process.

Generating and collecting logs is one thing. Generating and collecting actionable logs can be quite another. That's a problem because logs that are not actionable – meaning they can be easily used to derive valuable insights or resolve issues – are not very valuable. If you don't generate actionable logs, you might as well not log at all. Fortunately, ensuring that you generate useful logs is not tricky. Keep reading for seven tips on making your logs actionable and valuable.

Developers must have access to the information that they need. Accessing this information, however, can be time-consuming. With the wrong tools or workflow, it’s frustrating and challenging to filter logs by source. Tags are an easy solution from LogDNA that helps developers get a more granular view of what’s going on in our services.

Modern software development teams use CI/CD tools to ship features quickly and rely on best practices like shift-left testing to find application errors before they become user-facing bugs. But you still face the risk that any code you deploy could contain errors that your testing did not surface. To help you deploy with confidence and mitigate the effects of a bad deployment, Datadog APM now provides Automatic Faulty Deployment Detection.

Almost all tasks within a Linux system, whether it’s an application, system daemon, or certain types of user activity, are executed by one or more processes . This means that monitoring processes is key to detecting potentially malicious activity in your systems, such as the creation of unexpected web shells or other utilities.

Many organizations are moving from monolithic to microservices-based architectures. Microservices allow them to improve their agility and provide features more quickly. Although developing a single microservice is simpler, the complexity of the overall system is much greater. Here, we’ll review how to add distributed tracing to C++ with the OpenTelemetry collector and send to Logz.io. One of the biggest challenges is finding efficient tools to quickly debug and solve production problems.

In my role as a software engineer at Grafana Labs, I recently worked on a project that involved generating PromQL queries. One of the ways we verified the correctness of the generated queries was with a suite of integration tests. These tests would execute the generated PromQL queries against a local instance of the Prometheus query engine with some test data, and verify the results were as expected.

The global COVID-19 pandemic caused a massive and immediate shift to remote work which was bolstered by video conferencing telecommunication software such as Microsoft Teams. Although the world is still trying to heal (while simultaneously navigating new and evolving challenges) some organizations have started the process of having their employees return to work and explore new hybrid workforce environments.

Businesses are flooded with constantly changing thresholds brought on by seasonality, special promotions and changes in consumer habits. Manual monitoring with static thresholds can’t account for events that do not occur in a regularly timed pattern. That’s why historical context of influencing events is critical in preventing false positives, wasted resources and disappointed customers.

Digital transformations can entail significant shifts in technology, such as migrating from on-site architecture to cloud services, and these complex transformations generate massive amounts of data. Data transparency is a must-have, and observability with AIOps delivers the solution. Through a unified view of data, AIOps guides DevOps and SRE teams through the swamp of information

Handling large images has always been a pain in my side since I started writing code. Lately, it has started to have a huge impact on page speed and SEO ranking. If your website has poorly optimized images it won’t score well on Google Lighthouse. If it doesn’t score well, it won’t be on the first page of Google. That sucks.

See how the Logit.io platform helped give Youredi a more streamlined reporting and data visualisation alternative to using Microsoft’s Power BI in our latest customer case study. Outside of its BI capabilities, the Logit.io platform is used throughout Youredi by everyone from their technical teams through to their customer support and professional services department.

This article originally appeared in VentureBeat. “I feel like my job performance is based on a rigged lottery.” That’s what the Director of End User Computing at a large European bank told me two weeks ago. Every quarter, her company runs an NPS-style survey asking employees about their IT Experience. If you work in a corporate setting, you’ve probably seen these questionnaires before.

Directly embedding passwords and API keys into the code you write is a bad practice. Of course, everyone knows this, but I’ll be the first to admit that it still happens now and then. In the world of source control and shared codebases, leaking a password can be a huge problem that costs your team time and money. Of course, today many companies leverage a secrets management system to lower the probability of something like this happening.

Securing your environment requires being able to quickly detect abnormal activity that could represent a threat. But today’s modern cloud infrastructure is large, complex, and can generate vast volumes of logs. This makes it difficult to determine what activity is normal and harder to identify anomalous behavior. Now, in addition to threshold and new term –based Threat Detection Rules , Datadog Security Monitoring provides the ability to create anomaly.

In case you haven’t noticed, video marketing is on fire right now with compelling statistics around this trend hard to ignore. And for good reason — everyone from large enterprises and educational institutions to community groups and entrepreneurs are incorporating richer content into their websites, such as images and videos. Hence, the importance of choosing a high-quality content delivery network (CDN) provider.

Have you been a frustrated customer at the end of the service line waiting to achieve a resolution for your problem? After all the waiting, you'll hear a voice giving you a standard response: your request will be addressed and resolved soon. An incident need not be a harrowing experience, but can be turned into a positive customer experience using customizable and publicly accessible status pages for timely incident communication.

Your path to creating an elevated version of your current Microsoft 365 services is one that you already know is needed to create predictability for you and for your customers- predictability yields profitability. The reality is that Microsoft is more focused today on the commodity customer than your specific business needs as an MSP. This is one of the reasons most MSPs tend to take the backup/DR/cybersecurity angle.

Applicare 9 is a release focused on ease of use – SingleAgent, easy agent deployment and remote administration. Applicare 9 SingleAgent includes infrastructure monitoring, web servers monitoring, java app servers monitoring, databases monitoring and logs monitoring.

Last week at Grafana Labs, we launched our new Grafana Meetup Program with our East Coast Virtual Meetup. It was a ton of fun bringing together the community for this first event in our meetup series, but the road to getting here has been quite a journey! As a community-driven company, going more than a year without any in-person events has been pretty rough on all of us Grafanistas.

When you are experiencing an issue with your application or service, having deep visibility into both the infrastructure and the software powering your apps and services is critical. Most monitoring services provide insights at the Virtual Machine (VM) level, but few go further. To get a full picture of the state of your application or service, you need to know what processes are running on your infrastructure.

The Biden administration signed an executive order recently to regulate security practices among federal agencies and establishments. The decision modernizes and improves government networks in pursuit of fool-proof federal cyber defense. This comes in the wake of a series of malicious cyberattacks that targeted both public and private entities in the past year. In the largest breach in US history, SolarWinds

Whether you’re just beginning your monitoring journey or are a seasoned pro, being reminded of monitoring’s core principles is still helpful. From my own experience as a former SRE to what I’ve seen from our customers at Circonus, here are 10 essential monitoring tenets to live by.