Operations | Monitoring | ITSM | DevOps | Cloud

Today, we have some exciting news to share: Pepperdata Capacity Optimizer now supports Azure Kubernetes Service (AKS). This means users of AKS are able to automatically optimize their workloads running on the Azure Kubernetes Service. AKS users can now rely on Pepperdata to help them monitor and optimize Spark applications on Kubernetes AKS. This evolution of our platform has been in the works for some time, and we know our users will be delighted by this development.

As the world has shifted towards remote work in the wake of Covid-19, the need for remote management and monitoring tools has increased. Managed service providers (MSPs) use RMMs to provide off-site, automated and streamlined support to their clients for their IT needs. Having an efficient RMM can reduce workload and give MSPs a competitive edge over adversaries. So let’s take a more detailed look at what an RMM software can do and then a look at the best RMM software tools for MSPs in 2022.

As IT operations leaders, it’s intuitive and natural to desire fewer software products to manage an IT estate. That extends to standardizing all the operational processes to deliver significant benefits for the business.

At Grafana Labs, we spend a lot of time talking to our customers, and something we’ve heard from people in a wide range of organizations is that they want to be able to better manage sudden spikes in cardinality. Here we will give you a basic overview of what cardinality is and why it’s an important factor in your observability setup, especially when there is a dramatic uptick.

In this modern era, most companies want to make customers happy using emerging technologies. This is why they utilize multiple types of tools and new technologies to attract customers in their funnel and finally convert them into leads. However, it has some demerits too.

In a previous post, we looked at an example of a fictional bookstore company and recommended mirroring strategies for that specific scenario. In this post, we’ll be looking at a fictional bank and recommended mirroring strategies for their network traffic. For a list of the most commonly used strategies, check out our traffic mirroring tutorial.

One of the questions I regularly get asked is what common automation tools do I use or what do I advise people to use for various use cases? I thought I’d put this information into a blog for easy reference for our partners and others. Note: None of the recommendations below are commercial endorsements, but they are suggestions based on what I’ve used personally in the past. You are welcome to use whatever you want since most of the things below have other options, free or paid.

Azure SQL Database is at the heart of many applications running on Azure. Whether a company is migrating its on-premises applications to Azure or designing a new application from scratch, there are high chances of Azure SQL Database being considered and used.

Over the past several years, I've helped numerous customers migrate SQL Server workloads to Azure SQL, including Azure SQL Database, Azure SQL Managed Instance, and Azure SQL Virtual Machines. In this article, I'll explain some of the challenges of optimizing the compute cost for an Azure SQL Database deployment and review how the serverless compute tier can greatly simplify it.

With the proliferation of security SaaS platforms, such as Cloudflare, Proofpoint, and PingOne, enterprises must figure out how to integrate third-party data shipped over the internet into their analytics and SIEM platforms. This requirement to integrate third-party data raises a host of security, infrastructure, and data quality questions. Enterprises can lower risk, and complete projects faster, by using Cribl LogStream Cloud to solve their challenges in managing third-party SaaS platform data.