The goal of capacity planning is to match resources with demand. There are essentially three outcomes from this analysis. You can underestimate the resources you need (underprovision), which can hurt performance. You can overestimate (overprovision), which adds unnecessary costs. Or you can get it just right (rightsized). And, of course, you want to be rightsized at the lowest possible cost. Because many factors go into cloud capacity planning, it can feel like more of an art than a science.

Software architectures are greatly influenced by the size and scale of the software applications. With growing size, the code base becomes complex. With scale, the deployment becomes challenging. The result: debugging becomes an increasingly time-consuming process for developers.

Five worthy reads is a regular column on five noteworthy items we have discovered while researching trending and timeless topics. This week we are exploring the multi-cloud strategy and why its the next biggest thing in cloud computing. In an age where digital innovations happen at breakneck speed, the cloud has become crucial to every enterprise.

Imagine you're playing a game of chess, but instead of reacting to your opponent's moves, you can see five moves ahead and plan your strategy accordingly. That's the power of proactive network monitoring. Instead of waiting for issues to arise and reacting to them, you can stay several steps ahead and keep your network running smoothly. In this post, we'll explore the art of proactive network monitoring and how it can help you stay ahead of the game.

In the modern business landscape, the recent surge in cloud computing has become a game-changer, fundamentally altering how organizations manage their IT infrastructure. As businesses increasingly embrace digital transformation, migrating services and applications to the cloud has emerged as a crucial factor in guaranteeing scalability, flexibility, and cost efficiency.

If you're a software engineer working with Kubernetes, you know how vital it is to have accurate, real-time information about your applications and resources. With StackState's dynamic Kubernetes observability dashboards, you can now access all the essential data you need for troubleshooting on a single screen. In this blog post, we'll discuss the key features of these dashboards, why they're valuable and how to get started with them.

The modern business heavily depends on an active online presence for customer engagement and revenue generation. But have you ever stopped to think about what makes these online services accessible to users around the world? Enter the Domain Name System (DNS), a crucial component of the internet infrastructure that translates domain names into IP addresses and directs traffic to the appropriate server.

As a Grafanista, you tend to find things to visualize — databases, microservices, classic video games, etc. It’s part of our “big tent” philosophy. So when our December hackathon rolled around, some of us in our internal homelab Slack channel decided to take a look at how we could get metrics out of our Plex Media Servers.

As the complexity of modern applications continues to increase, so too does the demand for comprehensive observability solutions. Organizations looking to enhance their applications’ performance, reliability, and scalability need powerful tools that allow them to monitor, analyze, and visualize their infrastructure. One such tool is InfluxDB 3.0, a time series database designed to handle large-scale monitoring and analytics workloads.

In the previous blog in our root cause analysis with logs series, we explored how to analyze logs in Elastic Observability with Elastic’s anomaly detection and log categorization capabilities. Elastic’s platform enables you to get started on machine learning (ML) quickly. You don’t need to have a data science team or design a system architecture. Additionally, there’s no need to move data to a third-party framework for model training.

In modern business environments, where everything is fast-paced and data-centric, companies need to be able to track and analyze data quickly and efficiently to stay competitive. Metrics play a crucial role in this, providing valuable insights into product performance, user behavior, and system health. By tracking metrics, companies can make data-driven decisions to improve their product and grow their business.

Datacom and ScienceLogic have partnered to accelerate digital transformation efforts across the public sector.

We are delighted to announce that ServiceDesk Plus, our IT service management (ITSM) platform, has received certification for 13 ITIL 4 practices from SERVIEW GmbH, a leading IT management consulting, training and certification firm. SERVIEW is an independent management consultancy that makes solutions comparable and specializes in maximizing the performance of service organizations utilizing world-renowned best management practices.

The pressure to release application features faster to meet the demands of customers presents a number of challenges, including unforeseen deployment delays, custom feature sets, and complex rollbacks when errors occur. To overcome these challenges, developers can use Flagsmith, an open source feature flagging and remote configuration service that allows developers to easily roll out and test new features for a specific subset of users.

When managing queues and services in streaming data pipelines that use technologies like Kafka and RabbitMQ, SREs and application developers often struggle to determine if these pipelines are performing as expected. Visibility into the performance of a streaming data pipeline, after all, requires visibility into every component of that pipeline.

As the complexity of modern software development lifecycles increase, it’s important to have a comprehensive monitoring solution for your continuous integration (CI) pipelines so that you can quickly pinpoint and triage issues, especially when you have a large number of pipelines running.

This month, Sysdig Secure’s Container Registry scanning functionality became generally available for all users. This functionality provides an added layer of security between the pipeline and runtime scanning stages. On Sysdig Monitor, we introduced a feature to automatically translate Metrics alerts in form-based query to PromQL. This allows you to choose between the convenience of form and the flexibility of PromQL.

The modern standard for observability in backend systems is: distributed traces with OpenTelemetry, plus dynamic aggregations over these events. This works very well in the world of web servers. But what about the web client? This post describes the state of OpenTelemetry support for React web clients, as of early April 2023.

As technology advances, so does the need for software engineers and DevOps teams to understand the precise inner workings of the systems they create. In 2023, observability is quickly becoming a key factor in gaining success for many businesses. The study states that many businesses are in different stages of adopting observability into their arsenal of tools, and that the need for these practices is on the rise.

We’ve just recently completed KubeCon + CloudNativeCon Europe 2023 in Amsterdam, one of the signature events of the year in the cloud native, open source and observability spaces. I was thrilled to be joined by Taylor Dolezal, the Head of Ecosystem for the hosting Cloud Native Computing Foundation (CNCF) to discuss the insider happenings of KubeCon EU live from Amsterdam for the April 2023 OpenObservability Talks podcast.

Grafana k6 v0.44.0 has been released, featuring new experimental modules, an upgraded browser module, and tons of improvements. Get Grafana k6 0.44.0 Here’s a quick overview of the latest k6 news from the team and the community.

Nine. Million. Dollars. Well, $9.44 million to be exact for your average data breach according to the latest report from IBM, Cost of a Data Breach Report 2022. From 2017 to 2022, that number has only continued increasing from $7.35 million, an almost 30% increase in just five years. For a small company, a security breach can be the difference between staying open or closing the business. And for a Fortune 500 enterprise, that cost will be more severe.

For years, many organizations have hesitated to build a monitoring strategy for Workforce Experience, focusing on their consumer counterparts instead. A recent IDC Spotlight, sponsored by Catchpoint, suggests those days are soon to be numbered. In this blog, we will explore the key takeaways from the IDC Spotlight on hybrid work trends, entitled, Moving Toward a Hybrid-First Organization with Seamless Connectivity and Collaboration. Key Findings.

RabbitMQ is a widely-used open-source messaging broker that facilitates message-oriented middleware for modern applications. It serves as a reliable and scalable mechanism for managing communication channels and messages between distributed applications. However, as modern distributed systems become increasingly complex, monitoring RabbitMQ's performance, availability, and other critical metrics becomes crucial for seamless operations. This is where RabbitMQ monitoring metrics come into play.

Just like the classic Scott Bakula tv series, the new InfluxDB 3.0 is a quantum leap forward. Of course, for us it’s the evolution of the InfluxDB product suite. InfluxDB 3.0 is the designation for all products powered by the InfluxDB IOx engine. The latest product release in this new suite is InfluxDB Cloud Dedicated. Let’s jump into the basics for InfluxDB Cloud Dedicated. WHO: There are several different groups of users that should consider using InfluxDB Cloud Dedicated.

Security awareness is at an all time high. Companies need the right tools to support innovation while building digital trust that users demand. Learn how Cisco Secure Application can help solve this challenge. Security awareness skyrockets with every breach. In response, users are doubling down on vetting the trustworthiness of companies before transacting.

Given the benefits cloud computing offers such as security, flexibility, better collaboration, and data modernization, organizations of all shapes and sizes have started moving their workload to this technology. With so many organizations using workarounds to gain visibility and control of bandwidth consumption, and with cloud computing letting organizations access and manage the information, the amount of data being generated is also increasing.

Managed service providers (MSPs) play a major part in increasing business continuity and enhancing the productivity of the businesses they cater to. Businesses these days rely on MSPs to take on the responsibility of managing their networks, so they need not spend most of their time on network management tasks like keeping track of network devices, troubleshooting network bottlenecks, etc.

With cloud solutions becoming mainstream and hybrid workforces becoming the norm rather than the exception, organizations need to stay nimble and agile for network access that can occur anytime, from anywhere. A thriving organization has a flourishing network that extends its arms globally, yet delivers high speed and performance without any compromise. Hence, organizations rely heavily on their networks for uninterrupted operations.

Setting up custom metrics is an easy way to gain instant insights into the information you need (without scorching through log lines or struggling with complicated reporting tools). Supplement your application's critical monitoring data by tracking meaningful metrics to quickly identify and resolve potential issues. In this blog post, we'll show you how to set up and use custom metrics to remove your monitoring blind spots.

Open source project InfluxDB IOx becomes InfluxDB 3.0, the next-generation time series database powering all InfluxDB products. InfluxDB Cloud Dedicated added to suite of enterprise-grade cloud services.

It’s been literally years now that I have been first tangentially, and then intimately involved with the project that has become InfluxDB 3.0. I started using it so early that one of the DataFusion upstream developers literally calls me “User0” … a moniker of which I am not-so-secretly proud.

Port monitoring is a necessary measure to make sure your network is running at an optimized level. For those unfamiliar with New England, many villages and cities began as fishing towns. These communities still do business on the sea, with multiple companies shipping out their products on massive boats. How do these boats gain access to the towns to continue doing business in them?

Event logging for Microsoft Windows provides a standard, centralized way for applications and the operating system to record important software and hardware events. The event-logging service (eventlog) stores events from various sources in a single collection called an event log. The system administrator can use the event log to help determine what conditions caused the error and the context in which it occurred. TechTarget have an excellent overview of Windows event logs available.

During my recent work on extending our GitLab packaging capabilities, I came across various types of tokens that can be used to authenticate users, services, and pipelines while using GitLab CI/CD. Each token has its unique features and use cases that can help ensure the security and integrity of your GitLab environment. By understanding the features and use cases of each token, you can leverage them to enhance your GitLab CI/CD workflows and ensure the security of your GitLab environment.

Grafana 9.5 has arrived! 🔥🎉 Get Grafana 9.5 The latest Grafana release introduces new features and improvements, such as major Grafana Alerting improvements, dashboard and visualization enhancements, a redesigned navigation experience, support bundles for faster issue resolution, and much more to provide you with better insights into your data.

Mezmo Telemetry Pipeline helps organizations Ingest, transform, and route telemetry data to control costs and drive actionability. Modern organizations are adopting telemetry pipelines to manage challenges with telemetry data (logs, metrics, traces, events) growth and to get the most value from their data investments.

As more and more businesses adopt microservices and leverage cloud infrastructures, keeping track of services and resources becomes increasingly important. Comprehensive monitoring is needed to ensure optimal performance, avoid downtime and ensure all have a great user experience. But leaving monitoring to the cloud provider may not give you the insights you need.

It's becoming increasingly common to discuss the importance of scalability in monitoring solutions and how it can impact the performance and reliability of distributed systems. In today's rapidly evolving technological landscape, organizations are increasingly relying on distributed systems to power their operations. These systems consist of multiple interconnected components that work together to deliver a cohesive experience.

Since day one, Cribl has been on a mission to give users more control and more value from their observability and security data. We had a feeling that putting customers first would be the key to unlocking that value, so “Customers First, Always” went at the top of the list when the time came to talk about company values.

OpenTelemetry is enabling a revolution in how Observability data is collected and transmitted. See our What Is OpenTelemetry post on why this is an important inflection point in the Observability space. In this post, we’ll walk through how to configure the OpenTelemetry Gems within a Rails app.

Site24x7 Capacity Planning Businesses are successful when their resources are aligned with their capacity. No business can afford to have their resources run at full capacity, because at that point, any increases past the capacity would lead to increasing failures. Capacity Planning is an action plan to ensure there's enough spare capacity to handle any increases in the workload, and cater to unprecedented workload spikes. Site24x7 and Capacity Planning

You run an e-commerce website and notice a drop in sales on a specific product page. You suspect that users may be encountering an issue with the “Add to Cart” button, but you’re not sure what’s causing the problem. With Sentry Session Replay’s new search by user click feature, you can easily find replays where users clicked on that button and watch their sessions to see exactly what happened.

The NGINX Error 502 Bad Gateway is a common error among website users. There are various possible reasons for this error and different ways to solve it. In this article, we will look at the main possible causes and how they can be solved by users and web developers. Use MetricFire's platform to analyze your system’s performance and troubleshoot errors.

Logs are a vital source of information for any system, providing valuable insights into its performance and behaviour. However, with the increasing complexity of modern systems and the massive amount of data generated by them, managing logs can be a daunting task. This is where log shippers come into play. Log shippers are tools designed to simplify the process of collecting and forwarding log data to a centralized location, allowing for easy analysis and troubleshooting.

Logit.io is pleased to introduce the latest version of OpenSearch onto the platform, with an OpenTelemetry-compliant data schema that unlocks a host of future analytics and observability capabilities. Also included in this release are improvements in threat detection for security analytics workloads, visualization tools, and machine learning (ML) models.

We are proud of our many customers and users around the globe that trust Icinga for critical IT infrastructure monitoring. That´s why we´re now showcasing some of these enterprises with their Success stories. It´s stories from companies or organizations just like yours, of any size and different kinds of industries. Some of them are our long-standing customers, others have just recently profited from migrating from another solution to Icinga.

Regardless of an organization’s industry or size, virtually every critical business activity or service is at least partly reliant upon network connectivity. When network performance slows or issues arise that halt critical end-user services, it can be very costly to an organization. Lost employee productivity, eroded customer loyalty, and reduced sales can all be among the ramifications for even relatively brief service interruptions.

In today’s fast-paced and highly-competitive gaming industry, providing a seamless and enjoyable gaming experience is essential to retain users. Games need to be responsive, offer high-resolution graphics, continuous uptime, and handle a huge amount of transactions. Having strong log analytics solution is essential to improve performance, identify issues, and fine-tune the player experience.

Catchpoint and ITOps Times break down 6 critical topics you need to understand to ensure Internet Resilience for your business in this bi-weekly microwebinar series, each lasting less than 10 minutes. Explore each of the topics in the series: In this second installment, we’ll dive deeper into the world of Internet Performance Monitoring (IPM). Learn how IPM can help you proactively find and fix issues in your Internet Stack before they impact the business.

When you sign into the Roblox platform, you get 30 million immersive experiences, ranging from concerts to fashion shows to, of course, video games. But when the observability team at Roblox logs on, they’re not playing around. The Roblox observability engineers are responsible for keeping more than 214 million monthly users happy and engaged by making the wildly popular gaming platform highly available around the world.

Today we have exciting news for Grafana customers with Flight SQL data sources: Now there is a new community plugin available for Grafana that allows it to communicate with Flight-SQL-compatible databases. Flight SQL is a client-server protocol developed by the Apache Arrow community for interacting with SQL databases. It utilizes the Flight RPC framework and the Arrow in-memory columnar format.

What do network operators want most from all their hard work? The answer is a stable, reliable, performant network that delivers great application experiences to people. In daily network operations, that means deep, extensive, and reliable network observability. In other words, the answer is a data-driven approach to gathering and analyzing a large volume and variety of network telemetry so that engineers have the insight they need to keep things running smoothly.

OpenTelemetry was launched in May 2019, as a merger of the OpenCensus and OpenTracing projects. The open-source, vendor-neutral project resides within the Cloud Native Computing Foundation (CNCF), which virtually ensures its longevity and widespread adoption. In fact, OpenTelemetry has gained significant traction in recent years, with support from many major cloud providers and the tech industry.

If you want to deliver an outstanding user experience you must know the differences between DEM and RUM. In this modern world, businesses are embracing digitization to provide better services to their customers. However, customer expectations and preferences have changed drastically over time. To address customer demands, businesses have started investing in systems and applications that enhance the user experience.

At a recent training session, Jeli spent a great deal of time covering incident retrospectives and what makes an incident worthy of studying. My colleague Ben Hartshorne asked a fascinating question, which I’ll paraphrase here: That caught me by surprise. We had a great discussion, and it made me consider approaches I hadn’t before.

Grafana is a popular open-source tool for visualizing and analyzing data from various sources. It provides a platform for creating interactive, customizable dashboards that display real-time data in various formats, including graphs, tables, and alerts. When powered by Mezmo's Telemetry Pipeline, Grafana can access a wide range of data sources and provide a unified view of the performance and behavior of complex systems.

Elasticsearch has made a name for itself as a powerful, scalable, and easy-to-use search and analytics engine, enabling organizations to derive valuable insights from their data in real-time. However, to truly unlock the potential of Elasticsearch, it is essential that the right data in the right format is provisioned to Elasticsearch. This is where integrating a telemetry pipeline can add value to Elasticsearch.

Avoiding vendor lock-in is a ‘must’ when it comes to working with new services. Those in ITOps, DevOps, or as an SRE also don’t want to be tied to specific vendors when it comes to their telemetry data. And that’s why OpenTelemetry’s popularity has surged lately. OpenTelemetry prevents you from being locked into specific vendors for the agents that collect your data.

JMX metrics give solid insights into the workings of your application. Integrating them with Levitate (our time series data warehosue) required us to jump some hoops with vmagent.

ManageEngine’s flagship ITSM platform, ServiceDesk Plus, has been named a Technology Leader in the latest SPARK Matrix: IT Service Management Tools report. This recognition reaffirms our efforts to make ServiceDesk Plus a capable ITSM platform that helps enterprises manage and deliver IT and business services.

Internet-of-Things (IoT) devices and technologies have penetrated into our life. Nowadays, we can easily find IoT devices around us. Home appliance manufacturers produce IoT products for smart homes. Car makers invest in smart vehicles that can communicate with other smart cars and IoT objects nearby. Governments allocate huge resources to build smart cities with IoT technologies to improve the quality of life for people and promote economic growth.

Before we dive into the specifics of each alternative to Datadog, let's address the most critical point: scaling. Datadog is great for users who need to do a little bit of everything, but Datadog's biggest weakness is scaling. Datadog can do logs, APM, time series and more, but scaling time-series metrics, alerts, and servers will cause your monthly bill to escalate. The graph below shows what you pay at Datadog vs. MetricFire, a leading competitor.

IoT devices open the door to all sorts of computing potential, but they can also produce a flood of telemetry data that users need to properly collect and monitor to ensure those devices are working properly. It’s no wonder so many individuals and businesses use Grafana for IoT use cases, whether they’re starting an aquaponic farm in South Africa, managing an industrial-scale electroplating factory in Ohio, or simply keeping tabs on Pretzel the python at its home in the UK.

Elastic Stack provides many valuable insights for different users. Developers are interested in low-level metrics and debugging information. SREs are interested in seeing everything at once and identifying where the root cause is. Managers want reports that tell them how good service performance is and if the service level agreement (SLA) is met. In this post, we’ll focus on the service perspective and provide an overview of calculating an SLA.

The core functionality of the Java Instrumentation API lies in its ability to modify the bytecode of classes being executed by the virtual machine. This capability allows for a range of monitoring tasks to be carried out, such as event recording and data gathering, which can provide valuable insights into an application's performance and behavior.

We’re excited to announce an expanded partnership with CrowdStrike and introduce CrowdStream, a powerful new native platform capability that enables customers to seamlessly connect any data source to the CrowdStrike Falcon platform.

This is a tutorial for deploying Prometheus on Kubernetes, including the configuration for remote storage on Metricfire. This tutorial uses a minikube cluster with one node, but these instructions should work for any Kubernetes cluster. Here's a video that walks through all the steps, or you can read the blog below. You can get onto our product using our free trial, and easily apply what you learned.

Azure App Service is a fully managed platform-as-a-service (PaaS) solution for deploying web applications, event-driven functions, RESTful APIs, and more. Azure App Service enables developers to quickly build and release services that scale dynamically—without worrying about provisioning and maintaining infrastructure. Last year, we released the Datadog extension for Azure App Service for deep visibility into your Windows.NET applications.

As organizations evolve and their stacks become more complex, they need increasingly robust visibility into their cloud-based infrastructure, services, and applications. Meanwhile, teams within these organizations tend to become more specialized and siloed. As they multiply across offices and time zones, these teams must be enabled to collaborate flexibly without muddling their distinct day-to-day priorities.

Lightrun, the leading Developer Observability Platform for production environments, announced today that it has extended its support to include C# on its plugins for JetBrains Rider, VSCode, and VSCode.dev. With this new runtime support, .NET developers can troubleshoot their apps against.NET Framework 4.6.1+, .NET Core 2.0+, and.NET 5.0+ technologies.

Using an online B2B wholesale marketplace makes your sourcing faster and easier. You should also know that every bulk trading platform has its benefits and drawbacks. Therefore, you should go have an idea of how each website offers the best and choose the one that matches your requirements the most.

KubeCon Amsterdam was an incredible gathering of like-minded professionals, bringing together devops, software engineers, vendors, and cloud technology enthusiasts from around the world. This year’s event was the biggest KubeCon + CloudNativeCon ever, with a sold-out attendee list of 10,000 strong. The sheer scale of the event was a testament to the growing popularity of cloud native technology and the vibrant community that supports it.

Most companies overspend on cloud services. Many factors contribute to this problem, and while organizations know that their cloud budgets are bloated, they still struggle to reel in those costs. Are they implementing the tools and processes to track their cloud costs effectively? And are they adopting controls to instill discipline and accountability in their cloud spending habits? We explored these questions in our latest State of Multi-Cloud Management research report.

Downtime can be a nightmare for any online business. As the digital landscape continues to expand, the importance of maintaining a reliable and stable online presence has never been greater. While most businesses recognize the direct costs associated with downtime, such as lost revenue and productivity, there are hidden costs that can have a lasting impact on your business.

Monitoring an enterprise network is challenging for two reasons: the size of the network and the distributed architecture it follows. In the distributed model, branches spread across the globe, requiring a centralized monitoring solution. As the business grows, more devices will be added to the network, meaning your enterprise monitoring tool must be able to scale to match the performance requirements.

Databases power all modern applications. They’re behind your Angry Birds mobile game as much as they’re behind the space shuttle. In the beginning, databases were hosted on a single physical machine. Basically, it was a computer running only one program: the database. Then we moved to running databases on virtual machines, where resources are shared among multiple operating systems and applications.

When your alerts cover systems owned by different teams, who should be on call? We get this question a lot when talking about SLOs. We believe that great SLOs measure things that are close to the user experience. However, it becomes difficult to set up alerting on that SLO, because in any sufficiently complex system, the SLO is going to measure the interaction between multiple services owned by different teams.

AWS is a cloud platform that is popular and widely used in many industries. They have many services such as EC2, S3, Lambda, and many more. Since AWS is so popular, being able to easily use it along with your other tools is a priority. We have an AWS integration set up with our tool so that our users have an optimal experience.

This post was written by Mercy Kibet. Mercy is a full-stack developer with a knack for learning and writing about new and intriguing tech stacks. With the vast amount of time series data generated, captured, and consumed daily, how can you make sense of it? This data is projected to grow up to 180 zettabytes by 2025.

Monitoring tools, also known as observability solutions, are designed to track the status of critical IT applications, networks, infrastructures, websites and more. The best IT monitoring tools quickly detect problems in resources and alert the right respondents to resolve critical issues. Response teams use observability solutions to gain real-time insights into resource availability, stability and performance.

In Citrix SBC/VDI cloud or on-premise deployments, CPU and memory usage are critical performance metrics that can impact user experience significantly. If one user's session is consuming a large amount of CPU or memory, it can negatively impact the performance of other users hosted on the same multi-session VDA machine. Therefore, it's essential for administrators to be able to quickly identify what user, application and process is causing high CPU or memory usage.

Have you ever visited a website that took forever to load, leaving you staring at a blank screen and clicking your mouse in frustration? If so, then you have experienced the slow Time to Interactive (TTI). TTI is the ultimate test of a website's speed and responsiveness, measuring the time it take s for a page to fully load and become interactive. A slow TTI can leave your users feeling bored, frustrated, and downright furious.

Prometheus and Nagios are both open-source infrastructure monitoring solutions created by SoundCloud Engineers and Ethan Galstad respectively. They both find popular usage in monitoring the availability and performance of computer systems, networks, and applications. While Prometheus uses a pull-based model to collect metrics and its dynamic service discovery support, Nagios uses a push-based model modeled on plugins.

Data generation today is at an unprecedented level, and we are generating an inexhaustible amount of data. As a matter of fact, more data has been created over the past two years than ever before in the history of mankind. This throws a big complexity in front of us. How do we even manage such a huge amount of data? Where do we store them? Can they be segregated to fit into our needs, who would do that for us, and so on! The questions are endless, and so is the rate of generation of new data.

Do you want to confidently move workloads to the cloud without dropping or losing data? Of course, everyone does. But easier said than done. Cloud migration is tricky. There’s so much to think through and so much to worry about — how can you reconfigure architectures and data flows to ensure parity and visibility? How do you know the data in transit is safe and secure? How can you get your job done without getting in trouble with procurement?

This guide explores the benefits of embedded caching for ISPs and discusses deployment optimization strategies and future trends in CDN technology. Embedded CDNs help reduce network congestion, save costs, and improve user experiences. ISPs must carefully plan their deployment strategies by considering how each of the CDNs distributes content and directs end-users to the caches. They need to know both the CDNs and their network architecture in detail to build a successful solution.

For the third time, we initiated the Icinga Feedback Week. Why? Because your opinion matters to us, a lot. Even though, we do get feedback throughout the year, our yearly Feedback Week is a chance for us, to ask you specific questions to certain topics. By understanding your thoughts and feelings towards Icinga, we aim to develop the most effective monitoring tool for you. But that wasn’t all: as a good tradition, we asked you to choose your Community Heroes and we have found five!

Today, GitHub announced the public beta of Deployment Protection Rules for GitHub Actions for GitHub Enterprise users. In support of that launch, we’ve partnered with GitHub to create the Honeycomb Deployment Protection Rule (available as a GitHub App). This rule lets you run Honeycomb queries so that you can get real-time performance feedback from your services before deciding whether to prevent deployment of your code to a specific environment.

Our latest release of eG Enterprise, version 7.2 is accompanied by significant enhancements and new features for our popular eG Enterprise mobile app for iOS and Android. These apps allow administrators to access the eG Enterprise administrator console on the go and receive meaningful alerts and push notifications with click throughs to deep diagnosis rather than dumb text messages.

With countless observability tools, data sources, and environments to juggle, the organizations that deploy and manage today’s distributed applications often face an uphill battle to gain visibility into their application performance. That was a key takeaway from the Grafana Labs Observability Survey 2023, which incorporated input from more than 250 industry practitioners who are all too familiar with these complexities.

Software testing has been an established discipline as old as software development itself. We have seen significant evolution of testing practices recently specially driven by Continuous Delivery and DevOps, where testing is increasingly integrated with agile development and other software lifecycle practices.

The Simple Network Management Protocol (SNMP) is a widely used protocol for monitoring and managing network devices. SNMP traps are a key feature of SNMP, and they’re used to notify management systems about specific events or conditions on network devices. This article will explore SNMP traps, discuss the different types and examples of traps and outline best practices for using SNMP traps in a network environment.

With the growing adoption of automated deployment tools, many organizations are releasing code more frequently. As releases increase, it’s important to ensure that you don’t accidentally introduce faulty deployments, which can have wide-ranging impacts on your infrastructure, application, and end-user experience, and can potentially lead to costly rollbacks.

In any type of organization and at any scale, logs are essential to a comprehensive monitoring stack. They provide granular, point-in-time insights into the health, security, and performance of your whole environment, making them critical for key workflows such as incident response, security investigations, auditing, and performance analysis. Many organizations generate millions (or even billions) of log events across their tech stack every day.