Operations | Monitoring | ITSM | DevOps | Cloud

June 2021

Featured Post

The Technologies Every IT Professional Needs to Consider in 2021

Most organizations make annual predictions for the year ahead, but 2021 is different. The past 12 months obviously proved incredibly unpredictable, but this year we already know the world has changed. IT, in particular, has needed to move quickly to support a widespread shift to supporting remote workers. One month into 2021, and we're already seeing the trend continue, and it looks likely to be the same in the years to come.

Full Stack Django Monitoring, Part 2

In the first part of this series, we deployed a Django application on a DigitalOcean Droplet and created a simple Django application. To monitor our Django application, we installed the SolarWinds® APM Integrated Experience featuring AppOptics™, Loggly®, and Pingdom®. In the conclusion of this article, we’ll explore the different types of monitoring provided by the APM Integrated Experience.

Service Desk Automation Demands Deep Integration with Monitoring Tools

ITIL’s definition of a service desk is: “The single point of contact between the service provider and the users. A typical service desk manages incidents and service requests, and also handles communication with the users.” Service desks such as JIRA, Autotask and ServiceNow, often also support multiple IT Service Management (ITSM) activities.

10 Popular Alternatives to AppDynamics

Application performance is one of the most important factors in determining your brand reputation, revenue, and authenticity in the virtual marketplace. There are several ways to monitor your application’s health and performance. Some choose to do it the traditional way - manually. Others prefer to adopt an automated solution capable of monitoring an application 24/7 and producing useful visualizations all by itself.

9 Best Application Performance Monitoring Tools on the Market and Why Should You Use One

The Application Performance Monitoring (APM) tools make managing your applications simple and easy, ensuring that your business software performs at its best. It's one thing to keep track of IT infrastructure and networks, but it's frequently the applications that demand the greatest care. It's not just the fact that there could be a lot of them; it's also the fact that they tend to update regularly, which can lead to software conflicts and unexpected hardware issues.

Embedded Analytics for IT

When we hear the term ‘embedded analytics’, most people think of business intelligence. The concept of embedded analytics refers to the integration of analytic content and capabilities within a business process application. The business benefits of embedding analytics into a business process include increased visibility, more effective strategic planning and accelerated time to value.

How to Monitor Full-Stack Django Applications

Modern web applications can be complex. A typical application stack usually involves several components spread across different layers. For example, HTML5 and AngularJS can make up a site’s front end. User inputs and queries from the front end can be passed on to containerized microservices running on a middleware, which in turn could pass the queries to a back-end database. Systems like WAFs and LDAP servers can be used for security and authentication.

Tip of the Month: BiQ Release Validation

Updates and releases often occur so frequently that it’s easy to lose track of the impact. With BiQ Release Validation from AppDynamics, you can compare and validate product code releases based on application performance, user experience, and business impact. Watch this video for an introduction to BiQ release validation as well as a snapshot of key business transactions that you can compare.

AIOps Strategy and Management

In an earlier blog, I provided an introduction to AIOps. AIOps is the application of Artificial Intelligence to IT Operations. Many people misunderstand AIOps as replacing or mimicking human intelligence. This is not what AIOps is about. Rather, AIOps seeks to apply algorithms to solve specific problems, often much faster, much more accurately, and at much higher scale than a human ever could solve the problem.

Autoscaling AppOptics With Apache Deployed in K8s Pods

Introduction Since its introduction in 2014, Kubernetes has become the de-facto standard for deploying and scaling containers for cloud deployments and on-premises environments. Initially, it required a DevOps/SRE team to build, deploy, and maintain the Kubernetes deployment in the cloud. Now, all major cloud vendors provide a managed Kubernetes offering, freeing up teams to focus on managing and scaling the application instead of the infrastructure.

Datadog on Chaos Engineering

As you scale your applications, remaining resilient to underlying network failures, resource constraints introduced by other applications, or spikes in traffic can become exponentially more complex, even with very thorough testing and processes. Chaos engineering is a discipline that encourages experimenting in production and injecting controlled failures into the system to understand how the system will react in such conditions and to improve its reliability.

Azure Monitor for Windows Virtual Desktop (WVD)

At the end of March 2021, Microsoft released Azure Monitor for Windows Virtual Desktop (WVD) for General Availability. Built upon Azure Monitor Workbooks to give insights into the Windows Virtual Desktop environment, including: Connection Diagnostics, Connection Performance, Host Diagnostics, Host Performance, Utilizations, Users, Clients and Alerts.

Best 7 Monitoring Tools for Node.js Application

Sometimes, applications do not perform as well as they should. Application developers are responsible for performing preventive and curative maintenance. Customers that use your application as a developer may waste a lot of money attempting to restore the applications without your help. To maintain track of your application's activities, it's best to use an effective monitoring system. Monitoring a Node.js application entails keeping a careful eye on its performance and availability.

New Relic vs Atatus

Application Performance Monitoring (APM) is used to ensure consistent availability, performance, and response times of an application. Websites, mobile applications, and business applications have use cases for monitoring purposes. Although, in the digital world, monitoring use cases expand to the processes, hosts, logs, networks, and end-users including your customers and employees.

Sponsored Post

Introducing native support for Core Web Vitals

In December last year, we released tracking for Core Web Vitals using custom tagging so that you can have consolidated performance metrics that accurately reflect your customer's digital experience. Today, we are excited to continue this journey and announce our native first-class support for Core Web Vitals (CWV) tracking within Real User Monitoring. Now, you can see a detailed overview of how your website performs against Google's modern user-centric metrics, alongside all the diagnostics you need to take action.

That One Time Using APM Bit Us

At Catchpoint, our mission is to provide customers with actionable data that will help them reduce MTTR and maintain a positive digital experience. We measure "from where the users are" to ensure the data reflects real end-user experience. As someone that's part of the Catchpoint on-call chain, this is extremely important to me. I do not want to be woken up at 2 AM because a server is misbehaving, only to find out that the application failed over gracefully and no users were impacted.

Planning Center: Simplifying observability and reducing MTTR in a serverless world, with Datadog

Justin Bodeutsch, Systems Administrator at Planning Center discusses how Datadog’s alerting, log management, serverless, and infrastructure monitoring tools have simplified internal processes and been instrumental in minimizing MTTR across the business.

Google Cloud, Vodafone and Datadog SRE Panel Webinar

Since originating at Google, site reliability engineering (SRE) has enabled countless teams to effectively manage large-scale systems, improve the stability of complex services, and automate operational tasks using software. In this SRE panel, Yuri Grinshteyn (Customer Reliability Engineer, Google) will speak about the core principles of SRE and how the culture is practiced at Google. He will be joined by Llywelyn Griffith-Swain (SRE Manager, Vodafone), who will share Vodafone’s story of adopting SRE, lessons learned, and their best practices for maintaining the cultural shift across teams.