Operations | Monitoring | ITSM | DevOps | Cloud

Don’t let your organization fall victim to data exposure; a well-defined strategy will cover all aspects of the cloud shared responsibility model and keep your data secure. Not long ago, security concerns were the number one reason IT executives hesitated to move workloads to the cloud. Much has changed since then. Security is now considered one of the great strengths of both cloud infrastructure and software-as-a-service (SaaS) platforms. But that doesn’t mean total security is assured.

Big data is a funny phrase. It’s obvious that we produce a massive amount of data: 4.9 billion people use the internet for an average of seven hours per day. Hundreds of billions of sensors, located on everything from smartphones to satellites, stream data 24/7. You would think that big data software gives us the ability to discover all the insights in the world. At the very least, we should be able to pull data on demand. In reality, the process has been slow and limited.

It’s one of those questions that’s tossed around the internet quite regularly. “Is DevOps dead?” Is there a genuine reason to think that DevOps is on its last legs? Or are authors just trying to get clicks by making controversial statements? Let’s look at some of the main justifications given for raising this question: I’ll come back to these points shortly.

Industry analysts do primary research and two of the best, IDC and EMA (Enterprise Management Associates), have recently published some great insights for enterprises in 3 areas.

In order to answer this question, it is necessary to define what middleware is. It is generally accepted that middleware is software that sits between existing systems and processes and helps to smooth integration and interaction between them. Because of the sheer range of middleware and the scope of what it can do and affect in terms of business infrastructure, it is vital that it can be successfully monitored and managed.

Apache Kafka is a very popular open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Amazon MSK (Managed Streaming for Kafka) is a fully managed Kafka service that makes using Kafka even easier. But how do you get started with Kafka on AWS?

Apache Kafka is a very popular open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Amazon MSK is a fully managed Kafka service that makes using Kafka even easier. But how do you get started with Kafka on AWS? How do you migrate your existing Kafka environment to the cloud? How do you manage many Kafka environments at once?

Who’s faking it? Data-driven decision-making (and ensuring related investment is delivering on its promises) has been elevated in importance. Every enterprise is replacing opinion with data-driven decision-making, correct? A brand new research report from EMA (Enterprise Management Associates) titled, “A Data-Driven Enterprise” looks behind the curtain to separate facts and reality from fiction and aspiration. Here are some of the findings from the latest research on enterprises.

As digital transformation is now one of the main priorities for organizations across all industries, it is critical to have a solid strategy in place to ensure successful and lasting adoption. However, most technology leaders and decision-makers completely ignore some of the potential mistakes that stymie their organization’s digital transformation.