Operations | Monitoring | ITSM | DevOps | Cloud

Check our September 2023 health report on the top most popular cloud providers. We analyze the health of the cloud providers based on the number of outages and problems during the month. The source of the data is made available by the cloud providers themselves via their status page. We normalize it and use it to generate the report.

Looking at your IT environment, you probably have various machines and applications connected to your networks. From network devices to servers to laptops, you need to know what’s happening at all times. While your log data provides the monitoring information you need, your environment’s diversity makes aggregating and correlating this information challenging. If your company invested in Windows devices, then your struggle is even more real because Microsoft uses proprietary format.

The cloud’s elasticity—the ability to scale resources up and down in response to changes in demand—as well as variable cost structures offer significant advantages, enabling enterprises to move from rigid capex models to elastic opex models where they pay for what they provision, with engineers in control and focused on innovation, becoming true business accelerators.

Splunk is pleased to announce the general availability of Federated Search for Amazon S3, a new capability that allows customers to search data from their Amazon S3 buckets directly from Splunk Cloud Platform without the need to ingest it. Enterprises rely heavily on cloud object storage services as the de facto destination for their new data to leverage the cost, compliance, security, scalability and manageability benefits that cloud platforms can offer.

To successfully observe modern digital platforms, a new data collection approach was needed. And OpenTelemetry (OTel) was the answer - an industry-agreed open standard - not a single vendor's approach - on how observability (O11y) data should be collected from a platform. This separates out data collection from the vendors’ platform of data processing and visualisation, making the data collecting approach vendor agnostic.

In today’s world of relentless data growth, security-relevant logs represent a small snapshot of an organization’s overall environment. Teams are beset with a variety of data types, including performance metrics and traces, asset configuration and state, audit logs, and much more. On top of that, teams are expected to scan all of this to compare against industry best practices and join this data with logs and metrics for added context.

Elastic Observability is the premiere tool to provide visibility into web apps running in your environment. AWS App Runner is the serverless platform of choice to run your web apps that need to scale up and down massively to meet demand or minimize costs. Elastic Observability combined with AWS App Runner is the perfect solution for developers to deploy web apps that are auto-scaled with fully observable operations, in a way that’s straightforward to implement and manage.

For many IT organizations, triaging or troubleshooting starts with assessing symptoms. As practitioners investigate the causal factors by answering each of the “5 whys,” logs are often where the actual root cause answers lie. This is even more true for issues related to configuration changes, change management, and security. However, diving into log data can be overwhelming as a first step due to the high volume and velocity of logs and missing context.

With just 30 employees, Sentry Software might be considered a small company, but they’re prioritizing sustainability in a big way. As the makers of Hardware Sentry, an IT monitoring software, a large part of their business relies on maintaining optimal temperature conditions at their data centers — an operation that contributes to the company’s overall carbon footprint.

Like many companies, earlier this year we saw an opportunity with LLMs and quickly (but thoughtfully) started building a capability. About a month later, we released Query Assistant to all customers as an experimental feature. We then iterated on it, using data from production to inform a multitude of additional enhancements, and ultimately took Query Assistant out of experimentation and turned it into a core product offering.