The process of software development has changed radically. Development is fast-paced and needs testing and staging environments to reflect production accurately. Still, achieving this can be a significant operational hassle. Most engineering teams use a single staging environment, making it hard for developers to test their changes in isolation.

My market trends and predictions for 2021, be it for AI-based drug discovery or cybersecurity, have certainly accelerated in 2022 as a result of Covid-19 and the ongoing pandemic. This has brought unprecedented uncertainty, fear and challenges to how we do business, work, live and play.

API gateways are part of every modern microservice architecture. As their name already suggests, they are the gateway into your system; everyone who wants to access your service has to go through a gateway. In 2019, AWS announced HTTP APIs for its API Gateway (APIG) service. This was a big step to add more flexibility and lower latency to APIG. Before this release, you could only build REST APIs with APIG, which only helped when you wanted to create an API based on the REST architecture.

The DevOps field is engaged in a great, collective migration into the cloud. Businesses are decentralizing their applications and databases, hosting them in the cloud to make them available regardless of geography or user device. Some organizations choose to host their applications on private servers, but in periods of high demand take advantage of the public cloud by directing overflow traffic to cloud servers. This approach is called cloud bursting.

Most companies today have a “cloud first” computing strategy. According to Foundry’s April 2022 report outlining their 2022 Cloud Computing research, 92% of businesses globally have moved to the cloud. What’s more, the percentage of companies with most or all of their IT infrastructure in the cloud is expected to leap from 41% today to 63% in the next 18 months. As companies move more workloads onto various cloud platforms, cloud budgets continue to increase.

There are technical and business reasons to have a time series data presence both at the edge and in the cloud – InfluxDB has always played a key role in both contexts. Today, we’re announcing Edge Data Replication, a new feature that combines these two deployment strategies. With this announcement, InfluxData begins a greater initiative to accommodate both edge and cloud data workloads in one unified solution.

SAN FRANCISCO, June 15, 2022 – InfluxData, creator of the leading time series platform InfluxDB, today announced Edge Data Replication, a new capability for centralized business insights in widely distributed environments. Edge Data Replication enables developers to collect, store and analyze high-precision time series data in InfluxDB at the edge, while replicating all or subsets of this data into InfluxDB Cloud.

Modern applications are designed to leverage cloud native technologies like serverless and containers to run at an unprecedented scale, moving the focus away from machines to the actual service. Lumigo’s observability platform was purpose-built for these evolving cloud environments, and we’ve been delivering the most advanced automated distributed tracing for serverless applications since 2019.

The Snowflake data cloud provides storage, reporting, and analytics for organizations that rely on their data to run their day-to-day operations. Snowflake has become a top data warehouse solution for its manageability, superior scalability, always-on data security, advanced analytics, and robust accessibility since its launch from stealth mode in 2014. But Snowflake isn't perfect. For example, Snowflake is a cloud-only solution, so it might not be the best choice for organizations with on-premises data.

After taking initial steps to migrate to the cloud, many IT organizations look to leverage more advanced cloud technologies and applications to underpin their digital initiatives. This goes beyond core compute and storage infrastructure and extends to technologies that directly enable new applications in the most efficient way possible.