Businesses today cannot afford to be hacked. Cyber attacks can result in hefty fines and lawsuits, not to mention the reputational damage that can result in long-term revenue loss. Of course, this has always been true. But what has changed over the past few years is both the sheer volume of attacks and the growing sophistication used in them. As a result, there is a need an updated and upgraded kind of SIEM security platform to face them.

Amazon ECS allows you to easily run containers in AWS in units called tasks. Groups of identical tasks are called services, and groups of services running on the same infrastructure are called clusters. Since it is critical to the health of your application, properly monitoring ECS is a top priority for most teams. In this blog post, we will go over how Blue Matador monitors ECS tasks automatically and without configuration.

If you are in IT Ops or DevOps, hardly a day goes by without someone mentioning AIOps. There are a few who think AIOps can replace IT Ops tools today. Others debate this, saying that AIOps is still a nascent field, and it will take a few more years until we see a full-fledged AIOps platform for IT operations management. But there’s always been a lot of confusion on how AIOps really works.

Over the last few years, we have seen a significant shift with companies moving away from developing heavy, monolithic applications and instead adopting new approaches like microservices and even serverless applications. These allow companies to work in a faster and more agile way. Speed and agility are important when a task like deploying a new piece of code to production multiple times a day is normal behavior for a modern environment.

We are excited to announce CloudWisdom, a SaaS platform that reduces the cost and risk of operating public cloud infrastructure for enterprise businesses. CloudWisdom optimizes public cloud computing and capacity by recommending configurations unique to your application workloads using machine learning algorithms. This enables our customers to avoid performance bottlenecks and financial waste commonly associated with environments hosted in the public cloud.

I’m excited to announce that today we’re changing our company name to Virtana. Over the past three years, we have been steadily reinventing Virtual Instruments. You will still find the same deep infrastructure expertise, the same commitment to mission critical workloads, but now our portfolio offers a lot more breadth across the data center and into the public cloud.

Virtual Instruments today announced that it has become Virtana, a company focused on providing customers with the industry’s most robust AI-powered hybrid IT infrastructure management platforms for mission-critical workloads. Underscoring this commitment to helping enterprises manage their complex multi-cloud environments, today Virtana introduced CloudWisdom, a SaaS-based cloud cost optimization and monitoring platform.

Over the last decade, DevOps has become an important part of software engineering culture, influenced by the wide adoption of microservices, containers and cloud computing. A recent step in the evolution of cloud-based and microservice architecture is the serverless computing – a code execution model where the cloud provider takes total responsibility for the operating system and hardware management.

Competition is a funny thing. To gain or keep an edge against your competitors, you may need to push the envelope to use newer technologies and processes. But done wrong, that very technology or process could lead to your ruin. This is where we are with DevOps. The methodology that became popular in the mid-to-late 2000s is embraced by many companies . Done the right way, it will help your organization challenge its competition to keep up with customer and user demands.

Not long ago, we talked about the need to maintain visibility across all of your multicloud investments so you can keep track of how well they are working for you as well as how much they are costing you. Historically, this has meant building reports on numbers of VMs in use, system utilization, storage consumption, and the like. But much has changed since the early days of hypervisors, and organizations creating cloud-based services today are moving quickly toward serverless models.