Operations | Monitoring | ITSM | DevOps | Cloud

Handling today’s network performance challenges is imperative. Especially when there’s no specific tool for proactive monitoring, results from a root cause analysis are often incomplete. Organizations that don’t review metrics related to performance and availability risk compromising their network.

Artificial intelligence for IT operations (AIOps) is an umbrella term for the use of big data analytics, machine learning (ML) and other artificial intelligence (AI) technologies to automate the identification and resolution of common IT issues. The systems, services and applications in a large enterprise produce immense volumes of log and performance data. AIOps uses this data to monitor assets and gain visibility into dependencies within and outside of IT systems.

Distributed tracing is the ability to follow a request through a software system from beginning to end. While that may sound trivial, a single request can easily spawn multiple child requests to different microservices with modern distributed architectures. These, in turn, trigger further sub-requests, resulting in a complex web of transactions to service a single originating request.

Today we are releasing Dynamic Sampling, available to all new customers, and opt-in for existing customers. This goes beyond a new feature however and is an overhaul to the way we package Sentry’s Performance Monitoring product. We are saying goodbye to the days of static, magic number sampling configured within the SDK and moving to a world of flexibility.

Customers have spoken, and we’re feeling the love. Splunk has just been honored with no fewer than five “Best Software” Awards from TrustRadius! Based exclusively on customer reviews, Splunk Enterprise Security (ES) took home the top spot in three categories: Best Software for Enterprise, Best Software for Mid-Sized Businesses, and Best Software for Small Businesses.

Modern software applications involve multiple layers of code and services, working together to meet increasingly demanding user requirements. To achieve this, systems became distributed, providing improved scalability, fault tolerance, and complexity. However, this innovation brought new challenges to basic troubleshooting and performance monitoring to maintain the health of systems. It’s for these reasons that observability is trending.

Our inaugural SolarWinds Day event was a smashing success! From the announcement of our SolarWinds® Observability solution—which was built fully in the cloud—to important updates to our on-premises SolarWinds® Hybrid Cloud Observability solution, this was our biggest day of product launches since the founding of SolarWinds. It was exciting to be a part of the event and to see so many people participate and engage in the discussion.

We eat lots of our own dog food at MetricFire, monitoring our services with a dedicated cluster running the same software. This has worked out really well for us over the years: as our own customer, we quickly spot issues in our various ingestion, storage, and rendering services. It also drives the service status transparency our customers love. Our customers include large multinational coffee brewers, game companies, and other data science/SaaS companies.